Bhatia S, Bhatia S, Ahmed I, 2021. Automated Waterloo Rubric for Concept Map Grading. IEEE Access,  doi:10.1109/ACCESS.2021.3124672 IF: 3.37

Dahir M, Qasim S, Ahmed I, 2021. Cronus: An Automated Feedback Tool for Concept Maps. IEEE Access, doi: 10.1109/ACCESS.2021.3106509 IF: 3.37

Rais M, Li Y, Ahmed I, 2021. Dynamic-thermal and localized filament-kinetic attacks on fused filament fabrication based 3D printing process. Additive Manufacturing, https://doi.org/10.1016/j.addma.2021.102200 IF: 11.00 (Q1 rank)

Rais M, Awad R, Lopez J, Ahmed I, 2021. JTAG-based PLC memory acquisition framework for industrial control systems. Forensic Science International: Digital Investigation, https://doi.org/10.1016/j.fsidi.2021.301196

Saeedi S, Panahi A, Arodz T, 2021. Quantum semi-supervised kernel learning. Quantum Machine Intelligence 3:24 https://doi.org/10.1007/s42484-021-00053-x

Hernandez SM, Bulut E, 2021. WiFederated: Scalable WiFi Sensing using Edge Based Federated Learning. IEEE Internet of Things Journal, https://doi.org/10.1109/JIOT.2021.3137793 IF: 9.471 (Q1 rank)

Yucel F, Bulut E, 2021. Online Stable Task Assignment in Opportunistic Mobile Crowdsensing with Uncertain Trajectories. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3118134 https://ieeexplore.ieee.org/document/9560153 IF: 9.47 (Q1 rank)

Yucel F, Yuksel M, Bulut E, 2021. Coverage-Aware Stable Task Assignment in Opportunistic Mobile Crowdsensing. IEEE Transactions on Vehicular Technology (TVT), 70(4):3831-45. https://ieeexplore.ieee.org/document/9376990 IF: 5.98 (Q1 rank)

Erdin E, Cebe M, Akkaya K, Bulut E, Uluagac S, 2021. A scalable private Bitcoin payment channel network with privacy guarantees. Journal of Network and Computer Applications. 180:103021,doi:10.1016/j.jnca.2021.103021 . https://www.sciencedirect.com/science/article/abs/pii/S1084804521000485 IF: 6.28 (Q1 rank)

Roseberry M, Krawczyk B, Djenouri Y, Cano A, 2021. Self-Adjusting k Nearest Neighbors for Continual Learning from Multi-Label Drifting Data Streams. Neurocomputing, 442:10-25, https://www.sciencedirect.com/science/article/abs/pii/S0925231221002782 IF: 5.72 (Q1 rank)

Srivastava A, Cano A, 2021. Analysis and forecasting of rivers pH level using Deep Learning. Progress in Artificial Intelligence, https://link.springer.com/article/10.1007%2Fs13748-021-00270-2

Petri A, Bogaz B, Cano A, Barbon S, 2021. Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction. Sensors, 21(21):7333, https://www.mdpi.com/1424-8220/21/21/7333 IF: 3.58 (Q1 rank)

Belhadi A, Djenouri Y, Srivastava G, Cano A, Lin J, 2021. Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics. IEEE Transactions on Intelligent Transportation Systems, https://ieeexplore.ieee.org/document/9548779 IF: 6.49 (Q1 rank)

Djenouri Y, Belhadi H, Akli-Astouati K, Cano A, Lin J, 2021. An Ontology Matching Approach for Semantic Modeling: A Case Study in Smart Cities. Computational Intelligence, https://onlinelibrary.wiley.com/doi/10.1111/coin.12474?af=R IF: 2.33

Cachi P, Ventura S, Cios KJ. 2021. CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks, Frontiers in Computational Neuroscience 15: 627567 https://www.frontiersin.org/articles/10.3389/fncom.2021.627567/abstract  IF: 2:38

Cranston DW, Yancey M, 2021. Vertex Partitions into an Independent Set and a Forest with Each Component Small. SIAM J. on Discrete Math. 35(3):1769-1791 https://doi.org/10.1137/21M1392280 IF: 0.755

Chatterjee P, Damevski K, Kraft NA, Pollock L, 2021. Automatically Identifying the Quality of Developer Chats for Post Hoc Use. ACM Transactions on Software Engineering and Methodology (TOSEM), https://doi.org/10.1145/3450503 IF: 2.67

Bui N, Pham N, Barnitz JJ, Zou Z, Nguyen P, Truong H, Kim T, Farrow N, Nguyen A, Xiao J, Deterding R, Dinh T, Vu T, 2021. eBP: an ear-worn device for frequent and comfortable blood pressure monitoring, Communications of the ACM, 64(8):118-125 https://doi.org/10.1145/3470446 IF 4.65 (Q1 rank)

Pham N, Dinh T, Kim T, Raghebi Z, Bui N, Truong H, Nguyen T, Banaei-Kashani F, Halbower A, Dinh T, Nguyen V, Vu T, 2021. Detection of Microsleep Events with a Behind-the-ear Wearable System, IEEE Transactions on Mobile Computing, 2021 (https://doi.org/10.1109/TMC.2021.3090829) IF 5.54 (Q1 rank)

Ahmed S, Xiao Y, Chung T, Fung C, Yung M, Yao D, 2021. Privacy Guarantees of BLE Contact Tracing: A Case Study on COVIDWISE. IEEE Computer Magazine https://arxiv.org/abs/2111.08842 (accepted). IF: 3.56

Sosnkowski A, Fung C, Ramkumar S, 2021. An analysis of Twitter users’ long term political view migration using cross-account data mining. Online Social Networks and Media 26:100177 https://www.sciencedirect.com/science/article/abs/pii/S2468696421000574 IF: 3.79

Pereira G, Ghosh P, Santos A, 2021. A Bridging Centrality Plugin for GEPHI and a Case Study for Mycobacterium Tuberculosis H37Rv. IEEE/ACM Trans Comput Biol Bioinform. 18(6):2741-2746 https://doi.org/10.1109/TCBB.2021.3120937  IF: 3.71 (Q1 rank)

Roy S, Ghosh P, 2021. Scalable and distributed strategies for socially distanced human mobility. Appl Netw Sci 6, 95 https://doi.org/10.1007/s41109-021-00437-9  IF: 2.33

Bose P, Srinivasan S, Sleeman WC IV, Palta J, Kapoor R, Ghosh P, 2021. A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts. Applied Sciences 11(18):8319 https://doi.org/10.3390/app11188319  IF: 2.68

Barh D, Tiwari S, Gabriel Rodrigues Gomes L, Weener ME, Alzahrani KJ, Alsharif KF, Aljabali AAA, Tambuwala MM, Lundstrom K, Hassan SS, Serrano-Aroca Á, Takayama K, Ghosh P, Redwan EM, Silva Andrade B, Soares SC, Azevedo V, Uversky VN, 2021. Potential Molecular Mechanisms of Rare Anti-Tumor Immune Response by SARS-CoV-2 in Isolated Cases of Lymphomas. Viruses 13(10):1927 https://doi.org/10.3390/v13101927  IF: 5.05

Roy S, Ghosh N, Ghosh P, and Das SK, 2021. Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey. ACM Comput. Surv. 54(8):166 https://doi.org/10.1145/3468266  IF: 10.28 (Q1 rank)

Roy S, Biswas P, Ghosh P, 2021.Spatiotemporal tracing of pandemic spread from infection data. Sci Rep 11:17689  https://doi.org/10.1038/s41598-021-97207-5  IF: 4.38 (Q1 rank)

Rana P, Thai P, Dinh T, Ghosh P, 2021. Relevant and Non-Redundant Feature Selection for Cancer Classification and Subtype Detection. Cancers (Basel) 13(17):4297 https://doi.org/10.3390/cancers13174297  IF: 6.64 (Q1 rank)

Kumavath R, Paul S, Pavithran H, Paul MK, Ghosh P, Barh D, Azevedo V, 2021. Emergence of Cardiac Glycosides as Potential Drugs: Current and Future Scope for Cancer Therapeutics. Biomolecules 11(9):1275 https://doi.org/10.3390/biom11091275  IF: 4.88

da Silva JGV, Vieira AT, Sousa TJ, Viana MVC, Parise D, Sampaio B, da Silva AL, de Jesus LCL, de Carvalho PKRML, de Castro Oliveira L, Aburjaile FF, Martins FS, Nicoli JR, Ghosh P, Brenig B, Azevedo V, Gomide ACP, 2021. Comparative genomics and in silico gene evaluation involved in the probiotic potential of Bifidobacterium longum 51A. Gene 795:145781. https://doi.org/10.1016/j.gene.2021.145781 IF: 3.69

Nogueira WG, Jaiswal AK, Tiwari S, Ramos RTJ, Ghosh P, Barh D, Azevedo V, Soares SC, 2021. Computational identification of putative common genomic drug and vaccine targets in Mycoplasma genitalium. Genomics 113(4):2730-2743. https://doi.org/10.1016/j.ygeno.2021.06.011  IF: 5.74 (Q1 rank)

Roy S, Biswas P, Ghosh P, 2021. Effectiveness of Network Interdiction Strategies to Limit Contagion During a Pandemic, IEEE Access, 9:95862-95871 https://doi.org/10.1109/ACCESS.2021.3095252  IF: 3.37

Kapoor R, Sleeman WC, Nalluri JJ, Turner P, Bose P, Cherevko A, Srinivasan S, Syed K, Ghosh P, Hagan M and Palta JR, 2021. Automated data abstraction for quality surveillance and outcome assessment in radiation oncology. J Appl Clin Med Phys, 22:177-187. https://doi.org/10.1002/acm2.13308  IF: 2.1

Kumavath R, Barh D, Andrade BS, Imchen M, Aburjaile FF, Ch A, Rodrigues DLN, Tiwari S, Alzahrani KJ, Góes-Neto A, Weener ME, Ghosh P, Azevedo V, 2021. The Spike of SARS-CoV-2: Uniqueness and Applications. Front Immunol. 12:663912. https://doi.org/10.3389/fimmu.2021.663912  IF: 7.56 (Q1 rank)

Silva Andrade B, Siqueira S, de Assis Soares WR, de Souza Rangel F, Santos NO, Dos Santos Freitas A, Ribeiro da Silveira P, Tiwari S, Alzahrani KJ, Góes-Neto A, Azevedo V, Ghosh P, Barh D, 2021. Long-COVID and Post-COVID Health Complications: An Up-to-Date Review on Clinical Conditions and Their Possible Molecular Mechanisms. Viruses 13(4):700. https://doi.org/10.3390/v13040700  IF: 5.05

Bose P, Roy S, Ghosh P, 2021. A Comparative NLP-Based Study on the Current Trends and Future Directions in COVID-19 Research, IEEE Access, 9:78341-78355 https://doi.org/10.1109/ACCESS.2021.3082108  IF: 3.37

Roy S, Ghosh P, 2021. A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends. Healthcare (Basel) 9(5):488. https://doi.org/10.3390/healthcare9050488  IF: 2.65

Roy S, Dutta R, Ghosh P, 2021. Identifying key indicators of job loss trends during COVID-19 and beyond. Soc Sci Humanit Open. 4(1):100163. https://doi.org/10.1016/j.ssaho.2021.100163 

Rodrigues DLN, Morais-Rodrigues F, Hurtado R, Dos Santos RG, Costa DC, Barh D, Ghosh P, Alzahrani KJ, Soares SC, Ramos R, Góes-Neto A, Azevedo V, Aburjaile FF, 2021. Pan-Resistome Insights into the Multidrug Resistance of Acinetobacter baumannii. Antibiotics (Basel) 10(5):596. https://doi.org/10.3390/antibiotics10050596 IF: 4.64

Franco EF, Rana P, Cruz A, Calderón VV, Azevedo V, Ramos RTJ, Ghosh P, 2021. Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data. Cancers (Basel) 13(9):2013. https://doi.org/10.3390/cancers13092013  IF: 6.64 (Q1 rank)

Syed K, Sleeman WC 4th, Hagan M, Palta J, Kapoor R, Ghosh P, 2021. Multi-View Data Integration Methods for Radiotherapy Structure Name Standardization. Cancers (Basel) 13(8):1796 https://doi.org/10.3390/cancers13081796  IF: 6.64 (Q1 rank)

Oliveira de Almeida M, Carvalho R, Figueira Aburjaile F, Malcher Miranda F, Canário Cerqueira J, Brenig B, Ghosh P, Ramos R, Kato RB, de Castro Soares S, Silva A, Azevedo V, Canário Viana MV, 2021. Characterization of the first vaginal Lactobacillus crispatus genomes isolated in Brazil. PeerJ 9:e11079 https://doi.org/10.7717/peerj.11079  IF: 2.98

Roy S, Cherevko A, Chakraborty S, Ghosh N, Ghosh P, 2021. Leveraging Network Science for Social Distancing to Curb Pandemic Spread, IEEE Access, 9:26196-26207 https://doi.org/10.1109/ACCESS.2021.3058206  IF: 3.37

Roy S, Dutta R, Ghosh P, 2021. Towards Dynamic lockdown strategies controlling pandemic spread under healthcare resource budget. Appl Netw Sci 6, 2 https://doi.org/10.1007/s41109-020-00349-0  IF: 2.33

Roy S, Biswas P, Ghosh P, 2021. Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread, IEEE Transactions on Emerging Topics in Computational Intelligence, 5(3):321-331 https://doi.org/10.1109/TETCI.2021.3059007  IF: 8.28

Barh D, Tiwari S, Andrade BS, Weener ME, Góes-Neto A, Azevedo V, Ghosh P, Blum K, Ganguly NK, 2021. A novel multi-omics-based highly accurate prediction of symptoms, comorbid conditions, and possible long-term complications of COVID-19. Mol Omics 17(2):317-337. https://doi.org/10.1039/D0MO00189A  IF: 3.74

Roy S, Dutta R, Ghosh P, 2021. Optimal Time-Varying Vaccine Allocation Amid Pandemics With Uncertain Immunity Ratios, IEEE Access 9:15110-15121 https://doi.org/10.1109/ACCESS.2021.3053268  IF: 3.37

Roy S, Ghosh N, Ghosh P, Das SK, 2021. bioMCS 2.0: A distributed, energy-aware fog-based framework for data forwarding in mobile crowdsensing. Pervasive and Mobile Computing, 73:101381 http://doi.org/10.1016/j.pmcj.2021.101381 IF: 3.45

Orlovska I, Podolich O, Kukharenko O, Zaets I, Reva O, Khirunenko L, Zmejkoski D, Rogalsky S, Barh D, Tiwari S, Kumavath R, Góes-Neto A, Azevedo V, Brenig B, Ghosh P, de Vera JP, Kozyrovska N, 2021. Bacterial Cellulose Retains Robustness but Its Synthesis Declines After Exposure to a Mars-like Environment Simulated Outside the International Space Station. Astrobiology 21(6):706-717. https://doi.org/10.1089/ast.2020.2332  IF: 4.34 (Q1 rank)

Ghosh P, Pateras J, Rangachari V and Vaidya A, 2021. A Network Thermodynamic Analysis of Amyloid Aggregation along Competing Pathways. Applied Mathematics and Computation, 393:125778 https://doi.org/10.1016/j.amc.2020.125778 IF: 4.09 (Q1 rank)

Jaiswal AK, Tiwari S, Jamal SB, Oliveira LC, Sales-Campos H, Andrade-Silva LE, Oliveira CJF, Ghosh P, Barh D, Azevedo V, Soares SC, Rodrigues VR, da Silva MV, 2021. Reverse vaccinology and subtractive genomics approaches for identifying common therapeutics against Mycobacterium leprae and Mycobacterium lepromatosis. J Venom Anim Toxins Incl Trop Dis. 27:e20200027 https://doi.org/10.1590/1678-9199-jvatitd-2020-0027  IF: 2.83

Profeta R, Seyffert N, Tiwari S, Viana MVC, Jaiswal AK, Caetano AC, Bücker DH, Tavares de Oliveira L, Santos R, Gala-Garcia A, Kato RB, Padilha FF, Lima-Verde IB, Ghosh P, Barh D, Góes-Neto A, Figueiredo HCP, Soares SC, Meyer R, Brenig B, Ramos PIP, Azevedo V, Castro TLP, 2021. Comparative genomics with a multidrug-resistant Klebsiella pneumoniae isolate reveals the panorama of unexplored diversity in Northeast Brazil. Gene 26:145386. https://doi.org/10.1016/j.gene.2020.145386  IF: 3.69

Profeta R, Seyffert N, Tiwari S, Viana MVC, Jaiswal AK, Caetano AC, Bücker DH, de Oliveira LT, Santos R, Gala-Garcia A, Kato RB, Padilha FF, Lima-Verde IB, Ghosh P, Barh D, Góes-Neto A, Figueiredo HCP, Soares SC, Meyer R, Brenig B, Ramos PIP, Azevedo V, Castro TLP, 2021. Characterization of a new multidrug-resistant Brazilian K. pneumoniae isolate and 172 Klebsiella spp. sequenced strains: Genomic island, multilocus sequence typing and capsule locus dataset. Data Brief. 34:106746. https://doi.org/10.1016/j.dib.2021.106746 

Viana MVC, Profeta R, da Silva AL, Hurtado R, Cerqueira JC, Ribeiro BFS, Almeida MO, Morais-Rodrigues F, Soares SC, Oliveira M, Tavares L, Figueiredo H, Wattam AR, Barh D, Ghosh P, Silva A, Azevedo V, 2021. Taxonomic classification of strain PO100/5 shows a broader geographic distribution and genetic markers of the recently described Corynebacterium silvaticum. PLoS One 15(12):e0244210 https://doi.org/10.1371/journal.pone.0244210  IF: 3.24

Dablain D, Krawczyk B, Chawla N, 2021. DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2021.3136503 IF: 10.45 (Q1 rank)

Krawczyk B, 2021. Tensor decision trees for continual learning from drifting data streams. Machine Learning 110(11): 3015-3035 https://link.springer.com/article/10.1007%2Fs10994-021-06054-y IF: 2.94

Ghadermarzi S, Krawczyk B, Song J, Kurgan L, 2021. XRRpred: Accurate Predictor of Crystal Structure Quality from Protein Sequence. Bioinformatics, 37(23):4366-4374 https://academic.oup.com/bioinformatics/article/37/23/4366/6319015 IF: 6.94 (Q1 rank) 

Zhang F, Zhao B, Shi W, Li M, Kurgan L, 2021. DeepDISOBind: Accurate Prediction of RNA-, DNA- and Protein-binding Intrinsically Disordered Residues with Deep Multi-task Learning. Briefings in Bioinformatics, https://doi.org/10.1093/bib/bbab521 IF: 11.61 (Q1 rank)

Katuwawala A, Zhao B, Kurgan L, 2021. DisoLipPred: Accurate Prediction of Disordered Lipid Binding Residues in Protein Sequences with Deep Recurrent Networks and Transfer Learning. Bioinformatics, https://doi.org/10.1093/bioinformatics/btab640 IF: 6.94 (Q1 rank) 

Zhao B, Katuwawala A, Oldfield CJ, Hu G, Wu Z, Uversky VN, Kurgan L, 2021. Intrinsic Disorder in Human RNA-binding Proteins. Journal of Molecular Biology, 433(21):167229 https://www.sciencedirect.com/science/article/pii/S0022283621004629 IF: 5.47 (Q1 rank)

Song R, Cao B, Peng Z, Oldfield CJ, Kurgan L, Wong K-C, Yang J, 2021. Accurate Sequence-based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues. Biomolecules, 11(9):1337 https://www.mdpi.com/2218-273X/11/9/1337 IF: 4.88 (Q2 rank)

Hu G, Katuwawala A, Wang K, Wu Z, Ghadermarzi S, Gao J, Kurgan L, 2021. flDPnn: Accurate Intrinsic Disorder Prediction with Putative Propensities of Disorder Functions. Nature Communications, 12:4438 https://www.nature.com/articles/s41467-021-24773-7 IF: 14.92 (Q1 rank)

Zhang J, Ghadermarzi S, Katuwawala A, Kurgan L, 2021. DNAgenie: Accurate Prediction of DNA Type Specific Binding Residues in Protein Sequences. Briefings in Bioinformatics, 22(6):bbab336 https://academic.oup.com/bib/article/22/6/bbab336/6355416 IF: 11.61 (Q1 rank)

Katuwawala A, Ghadermarzi S, Hu G, Wu Z, Kurgan L, 2021. QUARTERplus: Accurate Disorder Predictions Integrated with Interpretable Residue-level Quality Assessment Scores. Computational and Structural Biotechnology Journal, 19:2597-2606 https://www.sciencedirect.com/science/article/pii/S2001037021001781 IF: 7.27 (Q1 rank)

Akbayrak IY, Caglayan SI, Durdagi S, Kurgan L, Uversky VN, Ulver B, Dervisoglu H, Haklidir M, Hasekioglu O, Coskuner-Weber O, 2021. Structures of MERS-CoV Macro Domain in Aqueous Solution with Dynamics: Impacts of Parallel Tempering Simulation Techniques and CHARMM36m and AMBER99SB Force Field Parameters. Proteins, 89(10):1289-1299 https://onlinelibrary.wiley.com/doi/10.1002/prot.26150 IF: 3.76

Necci M, Piovesan D, CAID Predictors (including Kurgan L), DisProt Curators, Tosatto S, 2021. Critical Assessment of Protein Intrinsic Disorder Prediction. Nature Methods, 18(5):472-481 https://www.nature.com/articles/s41592-021-01117-3  IF: 28.55 (Q1 rank)

Chen Z, Zhao P, Li C, Li F, Xiang D, Chen Y-Z, Akutsu T, Daly RJ, Webb GI, Zhao Q, Kurgan L, Song J, 2021. iLearnPlus: A Comprehensive and Automated Machine-learning Platform for Nucleic Acid and Protein Sequence Analysis, Prediction and Visualization. Nucleic Acids Research, 49(10):e60 https://academic.oup.com/nar/article/49/10/e60/6154472 IF: 16.97 (Q1 rank)

Klionski D, Kurgan L and 2917 co-authors, 2021. Guidelines for the Use and Interpretation of Assays for Monitoring Autophagy. Autophagy, 17(1):1-382 https://www.tandfonline.com/doi/full/10.1080/15548627.2020.1797280 IF: 16.02 (Q1 rank)

Seng S, Yang G, Li X, Ji H, and Luo C, 2021. Energy-efficient communications in unmanned aerial relaying systems, IEEE Transactions on Network Science and Engineering (TNSE), 8(4):2780-2791 https://ieeexplore.ieee.org/abstract/document/9372874 IF: 3.894 (Q1 rank)

Mahendran D, Luo C, McInnes BT, 2021. Review: Privacy-Preservation in the Context of Natural Language Processing. IEEE Access 9:147600-147612. https://ieeexplore.ieee.org/abstract/document/9592788. IF: 3.367

Vazquez S, Marino DL, Zafra E, Valdes M, Rodriguez-Andina J, Franquelo LG, Manic M, 2021. An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters, IEEE Transactions on Industrial Electronics, https://doi.org/10.1109/TIE.2021.3127046 IF 8.24 (Q1 rank)

Marino DL, Wickramasinghe CS, Tsouvalas B, Rieger C, and Manic M, 2021.  Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring, IEEE Access https://doi.org/10.1109/ACCESS.2021.3131274 IF 3.37

Marino DL, Wickramasinghe CS, Singh VK, Gentle J, Rieger C, and Manic M, 2021. The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study, IEEE Access, 9:159475-159494, https://doi.org/10.1109/ACCESS.2021.3127169 IF 3.37

Wickramasinghe CS, Amarasinghe K, Marino DL, Rieger C, and Manic M, 2021. Explainable Unsupervised Machine Learning for Cyber-Physical Systems, IEEE Access, 9:131824-131843 https://doi.org/10.1109/ACCESS.2021.3112397 IF 3.37

Marino D and Manic M, 2021. Physics Enhanced Data-Driven Models with Variational Gaussian Processes, IEEE Open Journal of the Industrial Electronics Society, 2:252-265 https://doi.org/10.1109/OJIES.2021.3064820

Wickramasinghe CS, Marino DL, and Manic M, 2021. ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation, IEEE Access, 9:40511-40520 https://doi.org/10.1109/ACCESS.2021.3064819 IF 3.37

Lucia O, Martins J, Ibrahim Y, Umetani K, Gomes L, Hiraki E, Zeroug H, and Manic M, 2021. Industrial Electronics Education: Past, Present, and Future Perspectives, IEEE Industrial Electronics Magazine, 15(1):140-154 https://doi.org/10.1109/MIE.2020.3002488  IF 6.62 (Q1 rank)

Vaagensmith B, Kumar Singh V, Ivans R, Marino DL, Wickramasinghe CS, Lehmer J, Phillips T, Rieger C, Manic M, 2021.  Review of Design Elements within Power Infrastructure Cyber-Physical Test Beds as Threat Analysis Environments, Energies, 14(5):1409 https://doi.org/10.3390/en14051409

Farnsworth S, Gurdin G, Vargas J, Mulyar A, Lewinski N, McInnes BT, 2021. Extracting experimental parameter entities from scientific articles. Journal of Biomedical Informatics, https://doi.org/10.1016/j.jbi.2021.103970 IF: 6.37 (Q1 rank)

Lee K, Dobbins NJ, McInnes BT, Yetisgen M, Uzuner Ö, 2021. Transferability of neural network clinical deidentification systems. Journal of the American Medical Informatics Association, 28(12):2661-9 https://doi.org/10.1093/jamia/ocab207 IF:4.50 (Q1 rank)

Mante J, Hao Y, Jett J, Joshi U, Keating K, Lu X, Nakum G, Rodriguez NE, Tang J, Terry L, Wu X, Yu E, Downie JS, McInnes BT, Nguyen MH, Sepulvado B, Young EM, Myers CJ, 2021. Synthetic Biology Knowledge System. ACS Synthetic Biology, 10(9):2276-85. https://pubs.acs.org/doi/abs/10.1021/acssynbio.1c00188. IF: 5.11 (Q1 rank)

Tian S, Stevens R, McInnes BT, Lewinski NA, 2021. Machine assisted experimentation of extrusion-based bioprinting systems. Micromachines. 12(7):780. https://doi.org/10.3390/mi12070780 IF: 2.89

Mulyar A, Uzuner O, McInnes BT, 2021. MT-clinical BERT: scaling clinical information extraction with multitask learning. Journal of the American Medical Informatics Association, 28(10):2108-15 https://doi.org/10.1093/jamia/ocab126  IF:4.50 (Q1 rank)

Mahendran D, Gurdin G, Lewinski N, Tang C, McInnes BT, 2021. Identifying chemical reactions and their associated attributes in patents. Frontiers in Research Metrics and Analytics, 6:688353 https://doi.org/10.3389/frma.2021.688353

Henry S, Wijesinghe DS, Myers A, McInnes BT, 2021. Using literature based discovery to gain insights into the metabolomic processes of cardiac arrest. Frontiers in Research Metrics and Analytics, 6:644728  https://doi.org/10.3389/frma.2021.644728

Olex AL, McInnes BT, 2021. Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be. Journal of Biomedical Informatics, 118:103784  https://doi.org/10.1016/j.jbi.2021.103784 IF: 6.32 (Q1 rank)

Soto M., Satterfield C, Fritz T, Murphy GC, Shepherd DC, and Kraft N, 2021. Observing and predicting knowledge worker stress, focus and awakeness in the wild. International Journal of Human-Computer Studies, 146:102560. IF: 3.63 (Q1 rank)

Pasandi H and Nadeem T, 2021. Towards a Learning-Based Framework for Self-Driving Design of Networking Protocols, IEEE Access, 9:34829-34844, https://doi.org/10.1109/ACCESS.2021.3061729 IF 3.37

Zhang H, Jin L, Ye C, 2021. An RGB-D Camera based Visual Positioning System for Assistive Navigation by a Robotic Navigation Aid, IEEE/CAA Journal of Automatica Sinica, 8(8):1389-1400 IF 6.17 (Q1 rank)

Broadbent A, Gharibian S, Zhou H-S, 2021. Towards Quantum One-Time Memories from Stateless Hardware. Quantum 5:429 https://doi.org/10.22331/q-2021-04-08-429 IF 6.78 (Q1 rank)

Ayub A, Yoo H, Ahmed I, 2021. Empirical Study of PLC Authentication Protocols in Industrial Control Systems. IEEE 15th Workshop on Offensive Technologies (WOOT’21), co-located with the 42nd IEEE Symposium on Security and Privacy and in cooperation with Usenix. https://doi.org/10.1109/SPW53761.2021.00058

Rais M, Li Y, Ahmed I. 2021. Spatiotemporal G-code modeling for secure FDM-based 3D printing. ACM/IEEE 12th International Conference on Cyber-Physical Systems (ICCPS '21). https://doi.org/10.1145/3450267.3450545

Panahi A, Saeedi S, Arodz T, 2021. Shapeshifter: a parameter-efficient Transformer using factorized reshaped matrices. Conference on Neural Information Processing Systems (NeurIPS'2021); https://papers.nips.cc/paper/2021/hash/09def3ebbc44ff3426b28fcd88c83554-Abstract.html (CORE A* rank)

Bokhari Y, Arodz T, 2021. PathMEx: Pathway-Based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations. 21st International Conference on Computational Science (ICCS'2021); LNCS 12743:564-577; https://doi.org/10.1007/978-3-030-77964-1_43 (CORE A rank)

Zhang H, Arodz T, 2021. Learning Invariance in Deep Neural Networks. 21st International Conference on Computational Science (ICCS'2021); LNCS 12744:64-74; https://doi.org/10.1007/978-3-030-77967-2_6 (CORE A rank)

Hernandez SM, Erdag D, Bulut E, 2021. Towards Dense and Scalable Soil Sensing Through Low-Cost WiFi Sensing Networks.  IEEE 46th Conference on Local Computer Networks (LCN), Oct 4 (pp. 549-556) https://doi.org/10.1109/LCN52139.2021.9525003

Hernandez SM, Bulut E, 2021. Adversarial Occupancy Monitoring using One-Sided Through-Wall WiFi Sensing. IEEE International Conference on Communications (ICC), Jun 14 (pp. 1-6). https://doi.org/10.1109/ICC42927.2021.9500267

Chapnevis A, Güvenç İ, Njilla L, Bulut E, 2021. Collaborative Trajectory Optimization for Outage-aware Cellular-Enabled UAVs. IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Apr 25 (pp. 1-6). https://doi.org/10.1109/VTC2021-Spring51267.2021.9448776

Krawczyk B, Cano, A, 2021. Locally Linear Support Vector Machines for Imbalanced Data Classification. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 616-628, https://link.springer.com/chapter/10.1007/978-3-030-75762-5_49 (CORE A rank)

Imran MM, Ciborowska A, Damevski K, 2021. Automatically Selecting Follow-up Questions for Deficient Bug Reports. 18th International Conference on Mining Software Repositories (MSR), https://doi.org/10.1109/MSR52588.2021.00029, (CORE A rank)

Chatterjee P, Damevski K, Pollock L, 2021. Automatic Extraction of Opinion-based Q&A from Online Developer Chats. 43rd International Conference on Software Engineering (ICSE), https://doi.org/10.1109/ICSE43902.2021.00115, (CORE A* rank)

Bose P, Sleeman W, Syed K, Hagan M, Palta J, Kapoor R, Ghosh P, 2021. Deep neural network models to automate incident triage in the radiation oncology incident learning system. 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB '21). Association for Computing Machinery, New York, NY, USA, Article 51, pp. 1-10 https://doi.org/10.1145/3459930.3469518

Roy S, Dutta R, Ghosh N, Ghosh P, 2021. Leveraging Periodicity to Improve Quality of Service in Mobile Software Defined Wireless Sensor Networks, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-2, https://doi.org/10.1109/CCNC49032.2021.9369647

Roy S, Dutta R, Ghosh N, Ghosh P, 2021. Adaptive Motif-based Topology Control in Mobile Software Defined Wireless Sensor Networks, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-6, https://doi.org/10.1109/CCNC49032.2021.9369601

Al Musawi AF, Ghosh P, 2021. Intrinsic and Simplified Complex Network Embedding Model. In: Kumar R., Mishra B.K., Pattnaik P.K. (eds) Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 201. Springer, Singapore. https://doi.org/10.1007/978-981-16-0666-3_21

Korycki L, Krawczyk B, 2021. Concept Drift Detection from Multi-Class Imbalanced Data Streams. 37th IEEE International Conference on Data Engineering (ICDE), 1068-1079, https://ieeexplore.ieee.org/document/9458692 (CORE A* rank)

Korycki L, Krawczyk B, 2021. Streaming Decision Trees for Lifelong Learning. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 502-518, https://link.springer.com/chapter/10.1007%2F978-3-030-86486-6_31 (CORE A rank)

Korycki L, Krawczyk B, 2021. Low-Dimensional Representation Learning from Imbalanced Data Streams. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 629-641, https://link.springer.com/chapter/10.1007%2F978-3-030-75762-5_50 (CORE A rank)

Krawczyk B, Cano, A, 2021. Locally Linear Support Vector Machines for Imbalanced Data Classification. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 616-628, https://link.springer.com/chapter/10.1007/978-3-030-75762-5_49 (CORE A rank)

Krawczyk B, 2021. Tensor Decision Trees for Continual Learning from Drifting Data Streams. 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 1-2, https://ieeexplore.ieee.org/document/9564150 (CORE A rank)

Krawczyk B, Bellinger C, Corizzo R, Japkowicz N, 2021. Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. International Joint Conference on Neural Networks (IJCNN), 1-7 https://ieeexplore.ieee.org/document/9533379 (CORE A rank)

Korycki L, Krawczyk B, 2021. Class-Incremental Experience Replay for Continual Learning Under Concept Drift. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), 3649-3658, https://openaccess.thecvf.com/content/CVPR2021W/CLVision/html/Korycki_Class-Incremental_Experience_Replay_for_Continual_Learning_Under_Concept_Drift_CVPRW_2021_paper.html

Wickramasinghe C, Marino D, and Manic M, 2021. Deep Embedded Clustering with ResNets,” in Proc. 14th International Conference on Human System Interaction, IEEE HSI 2021, Poland, July 8-10. 2020. pp. 1-6, DOI: https://doi.org/10.1109/HSI52170.2021.9538747

Mahendran D, McInnes BT, 2021. Extracting Adverse Drug Events from Clinical Notes. In American Medical Informatics Association Joint Summits on Translational Science, 420-429. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378605/

Smith J, French E, Cramer W, Uzuner Ӧ, McInnes BT, 2021. Pseudo-data generation for the extraction of Problems, Treatments and Tests. In American Medical Informatics Association Joint Summits on Translational Science, 575-584. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378614/

Mahendran D, Ranjan S, Tang J, Nguyen M, McInnes BT, 2021. BioCreative VII-Track 1: A BERT-based System for Relation Extraction in Biomedical Text. BioCreative VII Challenge Evaluation Workshop, 71 https://biocreative.bioinformatics.udel.edu/media/store/files/2021/Track1_pos_13_BC7_submission_155.pdf

Nukavarapu S, Ayyat M, and Nadeem T, 2021. iBranchy: An Accelerated edge inference platform for IoT Devices. The 2nd Workshop on Edge Computing and Communications (EdgeComm) in conjunction of Sixth ACM/IEEE Symposium on Edge Computing (SEC 2021), San Jose, CA, Dec., 2021.

Pasandi H, Amirpour H, Nadeem T, Trimmer C, 2021. Learning-driven MU-MIMO Grouping for Multi-User Multimedia Applications Over Commodity WiFi. The 1st ACM CoNEXT Workshop on Design, Deployment, and Evaluation of Network-assisted Video Streaming (ViSNext 2021) in conjunction with 17th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Munich, Germany, Dec. 2021. https://doi.org/10.1145/3488662.3493828

Nukavarapu S and Nadeem T, 2021. Securing Edge-based IoT Networks with Semi-Supervised GANs. 5th IEEE International Workshop on Smart & Green Edge Computing and Networking (SmartEdge) in conjunction with the 2021 IEEE Conference on Pervasive Computing and Communications (PerCom), Kassel, Germany, 2021. https://doi.org/10.1109/PerComWorkshops51409.2021.9431112

Lusa Krug D, Bowman E, Barnett T, Pollock L, and Shepherd D, 2021. Code Beats: A Virtual Camp for Middle Schoolers Coding Hip Hop. 52nd ACM Technical Symposium on Computer Science Education, 397–403. (CORE A rank)

Zhang H and Ye C, 2021. Sampson Distance: A New Approach to Improving Visual-Inertial Odometry’s Accuracy, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021, pp. 9184-9189. (CORE A rank)

Jin L, Zhang H, Ye C, 2021. W-ROMA: A Wearable Robotic Device for Assistive Navigation and Object Manipulation, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021, pp. 765-770. (CORE A rank)

Zhang B, Chen Y, Li J, Zhou Y, Thai P, Zhou H-S, Ren K, 2021. Succinct Scriptable NIZK via Trusted Hardware. ESORICS (1) 2021: 430-451 https://link.springer.com/chapter/10.1007%2F978-3-030-88418-5_21 (CORE A rank)

Lu Y, Zhang B, Zhou H-S, Liu W, Zhang L, Ren K, 2021. Correlated Randomness Teleportation via Semi-trusted Hardware - Enabling Silent Multi-party Computation. ESORICS (2) 2021: 699-720 https://link.springer.com/chapter/10.1007%2F978-3-030-88428-4_34 (CORE A rank)

Kurgan L, Li M, Li Y, 2021. Methods and Tools for Intrinsic Disorder Prediction and Their Application to Systems Medicine, In: Wolkenhauer O, (Ed.), Systems Medicine: Integrative Qualitative and Computational Approaches, vol.  1, pp 159-169, Elsevier, (ISBN 978-0-12-801238-3) https://www.sciencedirect.com/science/article/pii/B9780128012383113200

Rieger CG, Mcjunkin TR, Manic M, Amarasinghe K, 2021. Systems And Methods For Control System Security, US Patent.No. 10,896,261, Publication date January 19, 2021

VCU sold invention to industry entity for commercialization, Nov. 2021: Rieger CG, Mcjunkin TR, Manic M, Amarasinghe K, “ICS Resilient Security Technology (IReST)”, Docket No: MAN-19-110

Halepovic E,  Mustafa I, Nadeem T, 2021. Video Streaming at Mobile Edge. Issued as Patent No. 11,128,682 B2 by the United States Patent and Trademark Office, September 21, 2021

Bhatt M, Mishra A, Kabir M, Blake-Gatto S, Rajendra R, Hoque M, Ahmed I, 2020. Hierarchy-Based File Fragment Classification. Machine Learning and Knowledge Extraction 2(3): 216-232; https://doi.org/10.3390/make2030012

Qasim S, Smith J, Ahmed I, 2020. Control Logic Forensics Framework using Built-in Decompiler of Engineering Software in Industrial Control Systems. Forensic Science International: Digital Investigation 33; https://doi.org/10.1016/j.fsidi.2020.301013

Bokhari Y, Alhareeri A, Arodz T, 2020. QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency. BMC Bioinformatics 21:122; https://doi.org/10.1186/s12859-020-3449-2 IF: 3.242 (Q1 rank)

Yucel F, Yuksel M, and Bulut E, 2020. QoS-based Budget Constrained Stable Task Assignment in Mobile Crowdsensing, IEEE Transactions on Mobile Computing (TMC), doi: 10.1109/TMC.2020.2997280 https://ieeexplore.ieee.org/document/9099595 IF: 5.11 (Q1 rank)

Dhungana A, Bulut E, 2020. Energy balancing in mobile opportunistic networks with wireless charging: Single and multi-hop approaches, Ad hoc Networks,  doi: 10.1016/j.adhoc.2020.102342 https://www.sciencedirect.com/science/article/abs/pii/S1570870520306922 IF: 3.64 (Q1 rank)

Hernandez S, Bulut E, 2020. Using perceived direction information for anchorless relative indoor localization, Journal of Network and Computer Applications (JNCA), doi: 10.1016/j.jnca.2020.102714 https://www.sciencedirect.com/science/article/abs/pii/S1084804520301880 IF: 5.57 (Q1 rank)

Yucel F, Bulut E, 2020. User Satisfaction Aware Maximum Utility Task Assignment in Mobile Crowdsensing, Computer Networks, doi: 10.1016/j.comnet.2020.107156 https://www.sciencedirect.com/science/article/abs/pii/S1389128619311697 IF: 3.11

Chowdhury MU, Maeng SJ, Bulut E, Guvenc I, 2020. 3D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint, IEEE Transactions on Aerospace and Electronic Systems (TAES), doi: 10.1109/TAES.2020.2981233 https://ieeexplore.ieee.org/document/9037325 IF: 3.67 (Q1 rank)

Erdin E, Cebe M, Akkaya K, Solak S, Bulut E, Uluagac S, 2020. A Bitcoin Payment Network with Reduced Transaction Fees and Confirmation Times, Computer Networks, doi: 10.1016/j.comnet.2020.107098 https://www.sciencedirect.com/science/article/abs/pii/S1389128619308850 IF: 3.11

Djenouri Y, Djenouri D, Habbas z, Lin J, Michalak T, Cano A, 2020. When the Decomposition Meets the Constraint Satisfaction Problem. IEEE Access 8:207034-207043, https://ieeexplore.ieee.org/document/9260140 IF: 3.75 (Q1 rank)

Belhadi A, Djenouri Y, Srivastava G, Djenouri D, Cano A, Lin J, 2020. A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories. IEEE Transactions on Intelligent Transportation Systems, https://ieeexplore.ieee.org/document/9204632 IF: 6.32 (Q1 rank)

Belhadi A, Djenouri Y, Lin J, Cano A, 2020. A Data-Driven Approach for Twitter Hashtag Recommendation. IEEE Access 8:79182-79191, https://ieeexplore.ieee.org/document/9079518 IF: 3.75 (Q1 rank)

Belhadi A, Djenouri Y, Lin J, Cano A, 2020. Trajectory Outlier Detection: Algorithms, Taxonomies,Evaluation and Open Challenges. ACM Transactions on Management Information Systems 11(30):16, https://dl.acm.org/doi/10.1145/3399631

Belhadi A, Djenouri Y, Lin J, Zhang C, Cano A, 2020. Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. IEEE Access 8:10569-10583, https://ieeexplore.ieee.org/document/8951154 IF: 3.75 (Q1 rank)

Belhadi A, Djenouri Y, Lin J, Cano A, 2020. A General-Purpose Distributed Pattern Mining System. Applied Intelligence 50:2647-2662, https://link.springer.com/article/10.1007/s10489-020-01664-w IF: 3.33 (Q1 rank)

Moyano JM, Gibaja EL, Cios KJ, Ventura S. 2020. Combining Multi-Label Classifiers Based on Projections of the Output Space Using Evolutionary Algorithms. Knowledge-Based Systems, 196:105770 10.1016/j.knosys.2020.105770 IF: 5.921 (Q1 rank)

Cranston DW and Yancey MP, 2020. Sparse Graphs are Near-bipartite. SIAM Journal on Discrete Math. SIAM Journal on Discrete Math. Vol. 34(3), 1725-1768.  IF: .755

Cranston DW and Li J, 2020. Circular Flows in Planar Graphs. SIAM Journal on Discrete Math. Vol. 34(1):497–519. IF: .755

Choi I, Cranston DW, and Pierron T, 2020. Degeneracy and Colorings of Squares of Planar Graphs without 4-Cycles. Combinatorica 40(5):625-653.  IF: 1.143

Ciborowska A, Damevski K, 2020. Recognizing Developer Activity Based on Joint Modeling of Code and Command Interactions. IEEE Access 8:211653-211664, https://ieeexplore.ieee.org/document/9268948 IF: 3.75 (Q1 rank)

Bui N, Pham N, Truong H, Nguyen P,  Xiao J, Deterding R, Dinh TN, Vu T, 2020. eBP: Frequent and Comfortable Blood Pressure Monitoring from Inside Human’s Ears, GetMobile: Mobile Computing and Communications, SIGMOBILE, 2020, https://dl.acm.org/doi/abs/10.1145/3400713.3400721

Bu N, Nguyen A, Nguyen P, Truong H, Ashok A, Dinh TN, Deterding R, Vu T, 2020. Smartphone-Based SpO2 Measurement by Exploiting Wavelengths Separation and Chromophore Compensation, ACM Transactions on Sensor Networks (TOSN). https://dl.acm.org/doi/abs/10.1145/3360725 IF: 2.47

Huang S, Liu Y, Fung C, He R, Zhao Y, Yang H, Luan Z, 2020. HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log. IEEE Transactions on Network and Service Management. https://ieeexplore.ieee.org/abstract/document/9244088 IF: 3.9

Yu H, Yang J, Fung C, 2020. Fine-grained Cloud Resource Provisioning for Virtual Network Function. IEEE Transactions on Network and Service Management. https://ieeexplore.ieee.org/abstract/document/9060987 IF: 3.9

El-Latif AA Abd, Abd-El-Atty B, Mazurczyk W, Fung C, 2020. Secure data encryption based on quantum walks for 5G Internet of Things scenario. IEEE Transactions on Network and Service Management 17 (1), 118-131. https://ieeexplore.ieee.org/abstract/document/8972594. IF: 3.9

Roy S, Dutta R, Ghosh P, 2020. Recreational and philanthropic sectors are the worst-hit US industries in the COVID-19 aftermath. Elsevier Social Science and Humanities, 3:1. https://doi.org/10.1016/j.ssaho.2020.100098  IF: 1.03

Carvalho, R, Aburjaile, F, Viana, MC, Nascimento, A, Souza-Chartone, E, Jesus, LD, Zamyatnin, A, Brenig, B, Barh, D, Ghosh, P, Góes-Neto, A, Soares, S, Ramos, R, Pinto, A, Azevedo, V, 2020. Genomic characterization of multidrug-resistant Escherichia coli BH100 sub-strains. Frontiers in Microbiology. https://www.frontiersin.org/articles/10.3389/fmicb.2020.549254/abstract  IF: 4.24 (Q1 rank)

Barh D, Tiwari S, Azevedo V, Góes-Neto A, Gromiha M and Ghosh P, 2020. Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19. Computers in Biology and Medicine, 126:104051. https://doi.org/10.1016/j.compbiomed.2020.104051 IF: 3.43 (Q1 rank)

Roy S, Ghosh P, 2020. Factors affecting COVID-19 infected and death rates inform lockdown-related policymaking. PLoS ONE 15(10): e0241165. https://doi.org/10.1371/journal.pone.0241165  IF: 2.74

Syed K, Sleeman W, Hagan M, Palta J, Kapoor R, Ghosh, P, 2020. Automatic Incident Triage in Radiation Oncology Incident Learning System. Healthcare, 8, 272. https://doi.org/10.3390/healthcare8030272 IF: 1.92

Imchen M, Moopantakath J, Kumavath R, Barh D, Tiwari S, Ghosh P and Azevedo V, 2020. Current Trends in Experimental and Computational Approaches to Combat Antimicrobial Resistance. Front. Genet. 11:563975. doi: 10.3389/fgene.2020.563975 IF: 3.26

Reddy D, Kumavath R, Barh D, Azevedo V, Ghosh P, 2020. Anticancer and Antiviral Properties of Cardiac Glycosides: A Review to Explore the Mechanism of Actions. Molecules, 25(16):3596. doi:10.3390/molecules25163596 IF: 3.06

Leite EL, Oliveira AF Jr, Carmo FLRD, Berkova N, Barh D, Ghosh P, Azevedo V, 2020. Bacteriocins as an alternative in the treatment of infections by Staphylococcus aureus. An Acad Bras Cienc. 92(suppl 2):e20201216. doi: 10.1590/0001-3765202020201216. PMID: 33084762.

Barh D, Silva Andrade B, Tiwari S, Giovanetti M, Góes-Neto A, Alcantara LCJ, Azevedo V, Ghosh P, 2020. Natural selection versus creation: a review on the origin of SARS-COV-2. Infez Med. 28(3):302-311. PMID: 32920565.

Franco EF, Rana P, Queiroz Cavalcante AL, da Silva AL, Cybelle Pinto Gomide A, Carneiro Folador AR, Azevedo V, Ghosh P, TJ Ramos R, 2020. Co-Expression Networks for Causal Gene Identification Based on RNA-Seq Data of Corynebacterium pseudotuberculosis. Genes 11, 794. IF: 3.33

Sleeman Iv WC, Nalluri J, Syed K, Ghosh P, Krawczyk B, Hagan M, Palta J, Kapoor R, 2020. A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. J Biomed Inform. 109:103527. doi: 10.1016/j.jbi.2020.103527. Epub 2020 Aug 8. PMID: 32777484. IF: 3.53

Araújo CL, Blanco I, Souza L, Tiwari S, Pereira LC, Ghosh P, Azevedo V, Silva A, Folador A, 2020. In silico functional prediction of hypothetical proteins from the core genome of Corynebacterium pseudotuberculosis biovar ovis. PeerJ 8:e9643. doi: 10.7717/peerj.9643. PMID: 32913672; PMCID: PMC7456259. IF: 2.38

Syed K, Sleeman W, Soni P, Hagan M, Palta J, Kapoor R, Ghosh P, 2020. Machine-Learning Models for Multicenter Prostate Cancer Treatment Plans. J Comput Biol. doi: 10.1089/cmb.2020.0188. PMID: 32985908. IF: 1.1

Roy S, Ghosh P, Barua D, Das SK, 2020. Motifs enable communication efficiency and fault-tolerance in transcriptional networks. Sci Rep 10, 9628 https://doi.org/10.1038/s41598-020-66573-x JCR: Q1; IF: 3.99

Barh D, Tiwari S, Silva Andrade B, Giovanetti M, Almeida Costa E, Kumavath R, Ghosh P, Góes-Neto A, Carlos Junior Alcantara L, Azevedo V, 2020. Potential chimeric peptides to block the SARS-CoV-2 spike receptor-binding domain. F1000Res. 9:576. doi: 10.12688/f1000research.24074.1. PMID: 32802318; PMCID: PMC7411520.

Silva Andrade B, Ghosh P, Barh D et al, 2020. Computational screening for potential drug candidates against the SARS-CoV-2 main protease. F1000Research 9:514 (https://doi.org/10.12688/f1000research.23829.1)

Podolich O, […], Ghosh P, Barh D, Góes-Neto A, Azevedo V, de Vera JP, Kozyrovska N, 2020. Fitness of Outer Membrane Vesicles From Komagataeibacter intermedius Is Altered Under the Impact of Simulated Mars-like Stressors Outside the International Space Station. Front Microbiol. 11:1268. doi: 10.3389/fmicb.2020.01268. PMID: 32676055; PMCID: PMC7333525. JCR: Q1; IF: 4.24

Syed K, Sleeman IV W, Ivey K, Hagan M, Palta J, Kapoor R, Ghosh P, 2020. Integrated Natural Language Processing and Machine Learning Models for Standardizing Radiotherapy Structure Names. Healthcare 8, 120. IF: 1.92

Ghosh P, Rana P, Rangachari V, Saha J, Steen E, Vaidya A, 2020. A game-theoretic approach to deciphering the dynamics of amyloid-β aggregation along competing pathways. R Soc Open Sci. 7(4):191814. doi: 10.1098/rsos.191814. PMID: 32431878; PMCID: PMC7211858. IF: 2.65

Phillips MH, Serra LM, Dekker A, Ghosh P, Luk SMH, Kalet A, Mayo C, 2020. Ontologies in radiation oncology. Phys Med. 72:103-113. doi: 10.1016/j.ejmp.2020.03.017. PMID: 32247963. IF: 2.48

Santos RG, […], Ghosh P, Seyffert N, Azevedo V, 2020. Complete genome analysis of Glutamicibacter creatinolyticus from mare abscess and comparative genomics provide insight of diversity and adaptation for Glutamicibacter. Gene 741:144566. doi: 10.1016/j.gene.2020.144566. PMID: 32171826. IF: 2.98

Jaiswal AK, Tiwari S, Jamal SB, Oliveira LC, Alves LG, Azevedo V, Ghosh P, Oliveira CJ, Soares SC, 2020. The pan-genome of Treponema pallidum reveals differences in genome plasticity between subspecies related to venereal and non-venereal syphilis. BMC Genomics 21, 33 https://doi.org/10.1186/s12864-019-6430-6 IF: 3.6

Sleeman WC, Krawczyk B, 2020. Multi-class imbalanced big data classification on Spark. Knowledge-Based Systems doi: 10.1016/j.knosys.2020.106598 https://www.sciencedirect.com/science/article/pii/S0950705120307279 IF: 5.92 (Q1 rank)

Koziarski M, Wozniak M, Krawczyk B, 2020. Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowledge-Based Systems 204: 106223 https://www.sciencedirect.com/science/article/pii/S0950705120304330 IF: 5.92 (Q1 rank)

Sleeman WC, Nalluri J, Syed K, Ghosh P, Krawczyk B, Hagan M, Palta J, Kapoor R, 2020. A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. Journal of Biomedical Informatics 109: 103527 https://www.sciencedirect.com/science/article/pii/S1532046420301556 IF: 3.53

Katuwawala A, Kurgan L, 2020. Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding Proteins. Biomolecules 10(12):1636; https://doi.org/10.3390/biom10121636 IF: 4.08

Zhao B, Katuwawala A, Oldfield CJ, Dunker K, Faraggi E, Gsponer J, Kloczkowski A, Malhis N, Mirdita M, Obradovic Z, Söding J, Steinegger M, Zhou Y, Kurgan L, 2020. DescribePROT: Database of Amino Acid-level Protein Structure and Function Predictions. Nucleic Acids Research, IF: 11.50 (Q1 rank)

Zhang F, Shi W, Zhang J, Zeng M, Li M, Kurgan L, 2020. PROBselect: Accurate Prediction of Protein-Binding Residues from Proteins Sequences via Dynamic Predictor Selection. Bioinformatics 36: i735–i744 IF: 5.61 (Q1 rank)

Peng Z, Xing Q, Kurgan L, 2020. APOD: Accurate Sequence-Based Predictor of Disordered Flexible Linkers. Bioinformatics 36:i754–i761, https://doi.org/10.1093/bioinformatics/btaa808 IF: 5.61 (Q1 rank)

Zhao B, Katuwawala A, Uversky VN, Kurgan L, 2020. IDPology of the Living Cell: Intrinsic Disorder in the Subcellular Compartments of the Human Cell. Cellular and Molecular Life Sciences https://doi.org/10.1007/s00018-020-03654-0 IF: 6.50 (Q1 rank)

Zhang J, Ghadermarzi S, Kurgan L, 2020. Prediction of Protein-Binding Residues: Dichotomy of Sequence-Based Methods Developed Using Structured Complexes Versus Disordered Proteins. Bioinformatics 36(18):4729-4738 IF: 5.61 (Q1 rank)

Gao J, Wei H, Cano A, Kurgan L, 2020. PSIONplus^m Server for Accurate Multi-Label Prediction of Ion Channels and Their Types. Biomolecules 10(6):876 https://www.mdpi.com/2218-273X/10/6/876 IF: 4.08

Liu L, Kurgan L, Wu FX, Wang J, 2020. Attention Convolutional Neural Network for Accurate Segmentation and Quantification of Lesions in Ischemic Stroke Disease. Medical Image Analysis 65:101791 https://doi.org/10.1016/j.media.2020.101791 IF: 11.15 (Q1 rank)

Chen H, Li F, Wang L, Jin Y, Chi CH, Kurgan L, Song J, Shen J, 2020. Systematic Evaluation of Machine Learning Methods for Identifying Human–Pathogen Protein–Protein Interactions. Briefings in Bioinformatics IF: 8.99 (Q1 rank)

Barik A, Katuwawala A, Hanson J, Paliwal K, Zhou Y, Kurgan L, 2020. DEPICTER: Intrinsic Disorder and Disorder Function Prediction Server. Journal of Molecular Biology 432(11):3379-3387 https://www.sciencedirect.com/science/article/pii/S0022283619307399 IF: 4.76 (Q1 rank)

Zhang J, Li W, Zeng M, Meng X, Kurgan L, Wu FX, Li M, 2020. NetEPD: A Network-Based Essential Protein Discovery Platform. Tsinghua Science and Technology https://ieeexplore.ieee.org/document/8954872 25(4):542-552 IF: 1.33

Wang K, Hu G, Wu Z, Su H, Yang J, Kurgan L, 2020. Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type. International Journal of Molecular Sciences 21(18):6879 https://www.mdpi.com/1422-0067/21/18/6879 IF: 4.56 (Q1 rank)

Yu L, Guo Y, Wang Q, Luo C, Liao W, Li M, and Li P, 2020. Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. IEEE Trans. Cognitive Communications and Networking. 6(2): 476-485. https://ieeexplore.ieee.org/document/8998400 , IF: 4.574

Ji T, Luo C, Guo Y, Wang Q, Yu L, and Li P, 2020. Community Detection in Online Social Networks: A Di_erentially Private and Parsimonious Approach. IEEE Trans. Computational Social Systems. 7(1): 151 - 163. https://ieeexplore.ieee.org/document/8999786, IF: 3.29

Luo C, Ji J, Wang Q, Chen X, and Li P, 2020. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach. IEEE Trans. Network Science and Engineering. 7(1): 227-236. https://ieeexplore.ieee.org/document/8395053, IF: 5.213

X. Yan, Y. Ye, X. Qiu, M. Manic and H. Yu, "CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts," in IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 3974-3986, June 2020. https://ieeexplore.ieee.org/document/8823028 IF: 8.480

Cuffy, C, Hagiwara N, Vrana S, McInnes BT, 2020. Measuring the quality of patient-physician communication. Journal of Biomedical Informatics. 12:103589. https://www.sciencedirect.com/science/article/abs/pii/S1532046420302185  IF: 3.526

Sutphin, C, Lee K, Yepes AJ, Uzuner Ö, McInnes BT, 2020. Adverse drug event detection using reason assignments in FDA drug labels. Journal of Biomedical Informatics 110:103552. https://www.sciencedirect.com/science/article/abs/pii/S1532046420301805  IF: 3.526

N. Ritschel, V. Kovalenko, R. Holmes, R. Garcia, Shepherd DC, 2020. Comparing Block-based Programming Models for Two-armed Robots, IEEE Transactions on Software Engineering, https://doi:10.1109/TSE.2020.3027255 (CORE A*), IF: 3.31 (Q1 rank)

V. Garousi, Shepherd DC, K. Herkiloglu, 2020. Successful Engagement of Practitioners and Software Engineering Researchers: Evidence From 26 International Industry–Academia Collaborative Projects, IEEE Software, vol. 37, no. 6, pp. 65-75, Nov.-Dec. 2020, doi: https://10.1109/MS.2019.2914663. IF: 2.945

Jin L, Zhang H, Ye C, 2020. Camera Intrinsic Parameters Estimation by Visual Inertial Odometry for a Mobile Phone with Application to Assisted Navigation. IEEE/ASME Transactions on Mechatronics 25(4): 1803-1811 https://ieeexplore.ieee.org/document/9099599 IF: 5.673 (Q1 rank)

Zhang H and Ye C, 2020. Plane-Aided Visual-Inertial Odometry for 6-DOF Pose Estimation of a Robotic Navigation Aid. IEEE Access 8: 90042-90051 https://ieeexplore.ieee.org/document/9091872 IF: 3.745 (Q1 rank)

Shen T, Afsar M R, Zhang, H, Ye C, Shen X, 2020. A 3D Computer Vision-Guided Robotic Companion for Non-Contact Human Assistance and Rehabilitation. Journal of Intelligent & Robotics Systems 100:911-923 https://link.springer.com/article/10.1007/s10846-020-01258-1 IF: 2.259

Dana Dachman-Soled, Feng-Hao Liu, Elaine Shi, Hong-Sheng Zhou, 2020.Locally Decodable and Updatable Non-malleable Codes and Their Applications. J. Cryptol. 33(1): 319-355 (CORE A* rank) https://link.springer.com/article/10.1007/s00145-018-9306-z

Zhang H, Gao X, Unterman J, Arodz T, 2020. Approximation capabilities of Neural ODEs and Invertible Residual Networks. 37th International Conference on Machine Learning (ICML'2020); PMLR 119:11086-11095; http://proceedings.mlr.press/v119/zhang20h.html (CORE A* rank)

Panahi A, Saeedi S, Arodz T, 2020. word2ket: space-efficient word embeddings inspired by quantum entanglement. 8th International Conference on Learning Representations (ICLR'20) https://iclr.cc/virtual_2020/poster_HkxARkrFwB.html (CORE A* rank)

Arodz T, 2020. Generalized quantum Deutsch-Jozsa algorithm. 20th International Conference on Computational Science (ICCS'2020); LNCS 12142:465-472; https://link.springer.com/chapter/10.1007%2F978-3-030-50433-5_36 (CORE A rank)

Arodz T, 2020. Biological network visualization for targeted proteomics based on mean first-passage time in semi-lazy random walks. 20th International Conference on Computational Science (ICCS'2020); LNCS 12139:539-549; https://link.springer.com/chapter/10.1007/978-3-030-50420-5_40 (CORE A rank)

Chapnevis A, Guvenc I, Bulut E, 2020. Traffic Shifting based Resource Optimization in Aggregated IoT Communication", 45th IEEE Local Computer Networks (LCN), Nov 16-19, 2020. (Core A rank) http://www.people.vcu.edu/~ebulut/LCN20-IoT.pdf

Yucel F, Bulut E, 2020. Time-dependent Stable Task Assignment in Participatory Mobile Crowdsensing, 45th IEEE Local Computer Networks (LCN), Nov 16-19, 2020. http://www.people.vcu.edu/~ebulut/LCN20-crowdsensing.pdf

Yucel F, Bhuyan A, Bulut E, 2020. Secure, Resilient and Stable Resource Allocation for D2D-based V2X Communication, IEEE Resilience Week, Oct, 2020. https://ieeexplore.ieee.org/document/9241290

Bulut E, Dhungana A, 2020. Social-Aware Energy Balancing in Mobile Opportunistic Networks, IEEE 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) - 2nd International Workshop on Wirelessly Powered Systems and Networks (WPSN), July 15-17, 2020. https://ieeexplore.ieee.org/abstract/document/9183404

Dhungana A, Bulut E, 2020. Opportunistic Wireless Crowd Charging of IoT Devices from Smartphones, IEEE 16th International Conference on Distributed Computing in Sensor Systems (DCOSS) - 2nd International Workshop on Wirelessly Powered Systems and Networks (WPSN), July 15-17, 2020. https://ieeexplore.ieee.org/abstract/document/9183664

Hernandez S, Bulut E, 2020. Lightweight and Standalone IoT based WiFi Sensing for Active Repositioning and Mobility, 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), August 31 - September 03, 2020, Cork, Ireland. https://ieeexplore.ieee.org/document/9217780 (Core A rank)

Hernandez S, Bulut E, 2020. Performing WiFi Sensing with Off-the-shelf Smartphones, IEEE International Conference on Pervasive Computing and Communications (Percom) Workshops, 23-27 March 2020, Austin, TX, USA. (Best demo award) https://ieeexplore.ieee.org/document/9156194

Perez J, [...], Cano A, et. al., 2020. An Endocrine and metabolic interactomic approach to identify novel diagnostic/prognostic biomarkers and therapeutic targets in gliomas. 22nd European Congress of Endocrinology, https://www.endocrine-abstracts.org/ea/0070/ea0070aep529.htm

Moyano JM, Gibaja EL, Cios KJ, Ventura S. 2020. Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, pp. 1-8, DOI: 10.1109/CEC48606.2020.9185661

Cachi PG, Ventura S, Cios KJ. 2020. Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. 18th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, Lisbon. In: Lesot MJ. et al. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. Communications in Computer and Information Science, vol 1239, Springer https://link.springer.com/chapter/10.1007%2F978-3-030-50153-2_57

Pham N, Dinh T, Ragheb Zi, Kim T, Bui N, Nguyen P,  Truong H, Banaei-Kashani F, Halbower A, Dinh TN, Vu T, 2020. WAKE: a behind-the-ear wearable system for microsleep detection, 18th International Conference on Mobile Systems, Applications, and Services (MOBISYS’20), (Top CSRankings) https://dl.acm.org/doi/abs/10.1145/3386901.3389032

Truong H, Bui N, Raghebi Z, Ceko M, Pham N, Nguyen P, Nguyen A, Kim T, Siegfried K, Stene E, Tvrdy T, Weinman L, Payne T, Burke D, Dinh TN, D'Mello S, Banaei-Kashani F, Wager T, Goldstein P, Vu T, 2020. Painometry: wearable and objective quantification system for acute postoperative pain, 18th International Conference on Mobile Systems, Applications, and Services (MOBISYS’20), (Top CSRankings), https://dl.acm.org/doi/abs/10.1145/3386901.3389022

Moyano JM, Gibaja EL, Cios KJ, Ventura S, 2020. Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. 24^th European Congress on Artificial Intelligence, ECAI 2020, Santiago de Compostela, Spain, pp. 1379-1386, DOI: 10.3233/FAIA200242

Bonato A, Cranston DW, Huggan M, Marbach T, Mutharasan R, 2020.  The Iterated Local Directed Transitivity Model for Social Networks.  17th Workshop on Algorithms and Models for the Web Graph. Algorithms and Models for the Web Graph, 111-123.  SGH Warsaw School of Economics, Warsaw, Poland (September 21-25, 2020).  Springer: https://link.springer.com/chapter/10.1007/978-3-030-48478-1_8

Chatterjee P, Damevski K, Kraft NA, Pollock L, 2020. Software-related Slack Chats with Disentangled Conversations. 17th International Conference on Mining Software Repositories (MSR 2020), 588-592 Seoul, Korea, June 2020 https://dl.acm.org/doi/10.1145/3379597.3387493 (CORE A rank)

Huang S, Liu Y, Fung C, He R, Zhao Y, Yang H, Luan Z, 2020. Transfer Log-based Anomaly Detection with Pseudo Labels. 2020 16th International Conference on Network and Service Management (CNSM), 1-5 https://ieeexplore.ieee.org/abstract/document/9269069 (CORE rank B)

Fung C, McCormick B, 2020. An Effective Policy Sharing Mechanism for Smart Home Networks. 2020 16th International Conference on Network and Service Management (CNSM), 1-7. https://ieeexplore.ieee.org/abstract/document/9269110. (CORE rank B)

Fung C, Pillai Y, 2020. A Privacy-Aware Collaborative DDoS Defence Network. NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-5. https://ieeexplore.ieee.org/abstract/document/9110330. (CORE rank B)

Huang S, Liu Y, Fung C, He R, Zhao Y, Luan H Z. Paddy, 2020. An Event Log Parsing Approach using Dynamic Dictionary. NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-8. https://ieeexplore.ieee.org/abstract/document/9110435. (CORE rank B)

Huang S, Liu Y, Fung C, An W, He R, Zhao Y, Yang H, Luan Z, 2020. A Gated Few-shot Learning Model For Anomaly Detection. 2020 International Conference on Information Networking (ICOIN), 505-509. https://ieeexplore.ieee.org/abstract/document/9016599. (CORE rank B)

Ramkumar S, Sosnkowski A, Coffman D, Fung C, Levy J, 2020. An Analysis of Twitter Users’ Political Views Using Cross-Account Data Mining. Smart Technologies in Data Science and Communication, 115-121. https://link.springer.com/chapter/10.1007/978-981-15-2407-3_16.

Rana P, Bose P, Vaidya A, Rangachari V, Ghosh P, 2020. Global fitting and parameter identifiability for amyloid-β aggregation models with competing pathways. IEEE BIBE 2020, pp. 1-8.

Roy S, Ghosh N, Ghosh P, Das SK, 2020. BioMCS: A Bio-inspired Collaborative Data Transfer Framework over Fog Computing Platforms in Mobile Crowdsensing. 21st International Conference on Distributed Computing and Networking (ICDCN 2020). Association for Computing Machinery, New York, NY, USA, Article 23, 1–10. DOI:https://doi.org/10.1145/3369740.3369788

Korycki L, Krawczyk B, 2020. Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. International Joint Conference on Neural Networks (IJCNN 2020): 1-8 Glasgow, United Kingdom, July 2020 https://ieeexplore.ieee.org/document/9207118 (CORE rank A)

Ghadermarzi S, Katuwawala A, Oldfield CJ, Barik A, Kurgan L, 2020. Disordered Function Conjunction: On the In-silico Function Annotation of Intrinsically Disordered Regions. Pacific Symposium on Biocomputing (PSB’2020) 25:171-182, Big Island of Hawaii, USA, January 2020 https://www.worldscientific.com/doi/abs/10.1142/9789811215636_0016

Kurgan L, Radivojac P, Sussman J, Dunker K, 2020. On the Importance of Computational Biology and Bioinformatics to the Origins and Rapid Progression of the Intrinsically Disordered Proteins Field. Pacific Symposium on Biocomputing (PSB’2020) 25:149-158, Big Island of Hawaii, USA, January 2020 https://www.worldscientific.com/doi/10.1142/9789811215636_0014

Seng S, Yang G, Li X, Ji H, and Luo C, 2020. Energy-Efficient Communications in Solar-Powered Unmanned Aerial Systems. IEEE Global Communications Conference (GLOBECOM'20), Taipei, Taiwan, Dec. 7-11, 2020. (to appear in IEEE Xplore) (CORE rank B)

J. Ulrich, C. Rieger, J. Grandio and M. Manic, 2020. Cyber-Physical Architecture for Automated Responses (CyPhAAR) Using SDN in Adversarial OT Environments, 2020 Resilience Week (RWS), Salt Lake City, ID, USA, 2020, pp. 55-63, doi: 10.1109/RWS50334.2020.9241285, https://ieeexplore.ieee.org/document/9241285.

D. Marino, J. Grandio, C. Wickramasinghe, K. Schroeder, K. Bourne,  A.V. Filippas, M. Manic, 2020. AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation, 13th International Conference on Human System Interaction, IEEE HSI 2020, Tokyo, Japan, June 6-8. 2020. https://ieeexplore.ieee.org/document/9142659

C. Wickramasinghe, D. Marino, J. Grandio, and M. Manic, 2020. Trustworthy AI Development Guidelines for Human System Interaction. 13th International Conference on Human System Interaction, IEEE HSI 2020, Tokyo, Japan, June 6-8. 2020. https://ieeexplore.ieee.org/document/9142644

Mahendran D, Gurdin G, Lewinski NA, Tang C, McInnes BT, 2020. NLPatVCU CLEF 2020 ChEMU Shared Task System Description. Conference and Labs of the Evaluation Forum (CLEF) 2020 Working Notes. http://ceur-ws.org/Vol-2696/paper_215.pdf

Gurdin G, Vargas JA, Maffey LG, Olex AL, Lewinski NA, McInnes BT, 2020. Analysis of Inter-Domain and Cross-Domain Drug Review Polarity Classification. American Medical Informatics Association Summits on Translational Science. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233089/

Olex AL, DiazGranados D, McInnes BT, Goldberg S, 2020. Local Topic Mining for Reflective Medical Writing.  American Medical Informatics Association Summits on Translational Science. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233034/

Mahendran D,  Lewis C,  McInnes BT, 2020. NLP@ VCU: Identifying adverse effects in English tweets for unbalanced data. Fifth Social Media Mining for Health  Applications Workshop & Shared Task. https://www.aclweb.org/anthology/2020.smm4h-1.29.pdf Emad Aghajani, Csaba Nagy, Mario Linares-Vásquez,

Pasandi H.B., Nadeem T, 2020. Mac Protocol Design Optimization using Deep Learning. 2020 IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 709-715), February, 2020. https://ieeexplore.ieee.org/document/9065254

Pasandi H.B., Nadeem T, 2020. CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge. 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshops, March 2020. https://ieeexplore.ieee.org/document/9156251

Pasandi H.B., Nadeem T, 2020. Unboxing MAC protocol design optimization using deep learning. 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshops, March 2020. https://ieeexplore.ieee.org/document/9156196

Laura Moreno, Gabriele Bavota, Michele Lanza, and  Shepherd DC, 2020. Software documentation: the practitioners' perspective. ACM/IEEE 42nd International Conference on Software Engineering (ICSE '20). Association for Computing Machinery, New York, NY, USA, 590–601. DOI:https://doi.org/10.1145/3377811.3380405 (CORE A* rank)

Anastasia Ruvimova, Junhyeok Kim, Thomas Fritz, Mark Hancock, Shepherd DC, 2020. "Transport Me Away": Fostering Flow in Open Offices through Virtual Reality. 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–14. DOI:https://doi.org/10.1145/3313831.3376724 (CORE A* rank)

Zhang H, Ye C, 2020. DUI-VIO: Depth Uncertainty Incorporated Visual Inertial Odometry based on an RGB-D Camera. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020. http://ras.papercept.net/images/temp/IROS/files/0784.pdf (CORE A rank)

Zhang H, Jin L, Ye C, 2020. The VCU-RVI Benchmark: Evaluating Visual Inertial Odometry for Indoor Navigation Applications with an RGB-D Camera. IEEE/RSJ International Conference on Intelligent Robots and Systems http://ras.papercept.net/images/temp/IROS/files/0685.pdf  (CORE A rank)

L. Jin, H. Zhang, Ye C, 2020. Camera Intrinsic Parameters Estimation by Visual Inertial Odometry for a Mobile Phone with Application to Assisted Navigation. IEEE/ASME International Conference on Advanced Intelligent Mechatronics https://ras.papercept.net/conferences/scripts/rtf/AIM20_ContentListWeb_4.html

Zhang H, Ye C, 2020. A Visual Positioning System for Indoor Blind Navigation. IEEE International Conference on Robotics and Automation https://ieeexplore.ieee.org/document/9196782  (CORE B rank)

Jin L, Zhang H, Ye C, 2020. Human-Robot Interaction for Assisted Object Grasping by a Wearable Robotic Object Manipulation Aid for the Blind. IEEE International Conference on Human-Machine Systems https://ieeexplore.ieee.org/document/9209377

Tuyet Duong, Lei Fan, Jonathan Katz, Phuc Thai, Hong-Sheng Zhou, 2020. 2-hop Blockchain: Combining Proof-of-Work and Proof-of-Stake Securely. ESORICS (2) 2020: 697-712 (CORE A rank) https://link.springer.com/chapter/10.1007%2F978-3-030-59013-0_34

Anne Broadbent, Sevag Gharibian, Hong-Sheng Zhou, 2020. Towards Quantum One-Time Memories from Stateless Hardware. TQC 2020: 6:1-6:25 https://drops.dagstuhl.de/opus/volltexte/2020/12065/

Syed K, Sleeman WC, Nalluri JJ, Kapoor R, Hagan M, Palta J, & Ghosh P, 2020. Artificial intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics. In Artificial Intelligence in Precision Health (pp. 31–59). Elsevier. https://doi.org/10.1016/b978-0-12-817133-2.00002-1

Wu Z, Hu G, Oldfield CJ, Kurgan L, 2020. Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER, In: Kihara D, (Ed.), Methods in Molecular Biology, vol. 2165, pp. 83-101, Springer Nature (ISBN 978-1-0716-0707-7) https://link.springer.com/protocol/10.1007/978-1-0716-0708-4_5

Oldfield CJ, Fan X, Wang, C, Dunker K, Kurgan L, 2020. Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor, In: Kragelund B and Skriver K (Eds), Methods in Molecular Biology, vol. 2141, pp. 21-35, Springer Nature (ISBN 978-1-0716-0523-3) https://link.springer.com/protocol/10.1007/978-1-0716-0524-0_2

Barik A, Kurgan L, 2020. A Comprehensive Overview of Sequence-Based Protein-Binding Residue Predictions for Structured and Disordered Regions, In: Gromiha M, (Ed.), Protein Interactions: Computational Methods, Analysis and Applications, pp. 33-58, World Scientific (ISBN: 978-981-121-187-4) https://www.worldscientific.com/doi/abs/10.1142/9789811211874_0002

Shen X, Shen T, Afsar M R, Ye C, 2020. Motorized robotic walker guided by an image processing system for human walking assistance, US Patent 10,667,980, issued on June 2, 2020

CG Rieger, TR Mcjunkin, M Manic, K Amarasinghe, Systems And Methods For Control System Security, US Patent.No. 10,896,261, Publication date January 19, 2021.

Serrano MG, Parikh HI, Brooks JP, Edwards DJ, Arodz T, Edupuganti L, Huang B, Girerd PH, Bokhari YA, Bradley SP, Brooks JL, Dickinson MR, Drake JI, Duckworth RA, Fong SS, Glascock AL, Jean S, Jimenez NR, Khoury J, Koparde VN, Lara AM, Lee V, Matveyev AV, Milton SH, Mistry SD, Rozycki SK, Sheth NU, Smirnova E, Vivadelli SC, Wijesooriya NR, Xu J, Xu P, Chaffin DO, Sexton AL, Gravett MG, Rubens CE, Hendricks-Muñoz KD, Jefferson KK, Strauss JF, Fettweis JM, Buck GA. 2019. Racioethnic diversity in the dynamics of the vaginal microbiome during pregnancy. Nature Medicine 25(6):1001-1011. https://www.nature.com/articles/s41591-019-0465-8 IF: 30.641

Fettweis JM, Serrano MG, Brooks JP, Edwards DJ, Girerd PH, Parikh HI, Huang B, Arodz T, Edupuganti L, Glascock  AL, Xu J, Jimenez NR, Vivadelli SC, Fong SS, Sheth NU, Jean S, Lee V, Bokhari YA, Lara AM, Mistry SD, Duckworth RA, Bradley SP, Koparde VN, Orenda XV, Milton SH, Rozycki SK, Matveyev AV, Wright ML, Huzurbazar SV, Jackson EM, Smirnova E, Korlach J, Tsai YC, Dickinson MR, Brooks JL, Drake JI, Chaffin DO, Sexton AL, Gravett MG, Rubens CE, Wijesooriya NR, Hendricks-Muñoz KD, Jefferson KK, Strauss JF, Buck GA. The vaginal microbiome and preterm birth. Nature Medicine 25(6):1001-1011. https://www.nature.com/articles/s41591-019-0450-2 IF: 30.641

Dhungana A, Arodz T and Bulut E, 2019. Exploiting peer-to-peer wireless energy sharing for mobile charging relief, Ad Hoc Networks 91 (2019): 101882, doi:10.1016/j.adhoc.2019.101882 https://www.sciencedirect.com/science/article/abs/pii/S1570870518305651 IF: 3.49

Dhungana A, Bulut E, 2019. Peer-to-peer energy sharing in mobile networks: Applications, challenges, and open problems, doi: 10.1016/j.adhoc.2019.102029 https://www-sciencedirect-com.proxy.library.vcu.edu/science/article/pii/S1570870519306018 IF: 3.49

Bulut E, Kisacikoglu M, Akkaya K, 2019. Spatio-Temporal Non-intrusive Direct V2V Charge Sharing Coordination, IEEE Transactions on Vehicular Technology (TVT), 68.10 (2019): 9385-9398, doi: 10.1109/TVT.2019.2931954 https://ieeexplore.ieee.org/abstract/document/8782558 IF: 5.33 

Cano A, Krawczyk B, 2019. Kappa Updated Ensemble for Drifting Data Stream Mining. Machine Learning, doi: 10.1007/s10994-019-05840-z https://link.springer.com/article/10.1007/s10994-019-05840-z IF: 2.81

Gonzalez J, Ventura S, Cano A, 2019. Distributed selection of continuous features in multi-label classification using mutual information. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2019.2944298 https://ieeexplore.ieee.org/document/8877992 IF: 11.68

Gonzalez J, Ventura S, Cano A, 2019. Distributed multi-label feature selection using individual mutual information measures. Knowledge-Based Systems, doi: 10.1016/j.knosys.2019.105052 https://www.sciencedirect.com/science/article/abs/pii/S0950705119304459 IF: 5.10

Roseberry M, Krawczyk B, Cano A, 2019. Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Transactions on Knowledge Discovery from Data, 13(6):60 https://dl.acm.org/citation.cfm?doid=3366748.3363573 IF: 2.54

Cano A, Krawczyk B, 2019. Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams. Pattern Recognition, 87:248-268 https://www.sciencedirect.com/science/article/abs/pii/S0031320318303765 IF: 5.90

Cano A, Leonard J, 2019. Interpretable Multi-view Early Warning System adapted to Underrepresented Student Populations. IEEE Transactions on Learning Technologies, 12(2):198-211 https://ieeexplore.ieee.org/abstract/document/8691619 IF: 2.32

Djenouri Y, Belhadi A, Lin J, Djenouri D, Cano A, 2019. A Survey on Urban Traffic Anomalies Detection Algorithms. IEEE Access, 7:12192-12205 https://ieeexplore.ieee.org/document/8612931 IF: 4.10

Djenouri Y, Belhadi A, Lin J, Cano A. Adapted k Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow. IEEE Access, 7:10015-10027 https://ieeexplore.ieee.org/document/8613036 IF: 4.10

Skryjomski P, Krawczyk B, Cano A. Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs. Neurocomputing, 354:10-19 https://www.sciencedirect.com/science/article/pii/S0925231219304588 IF: 4.07

Nishi MA, Damevski K, 2019. Automatically Identifying Valid API Versions for Software Development Tutorials on the Web. Journal of Software: Evolution and Process, https://onlinelibrary.wiley.com/doi/full/10.1002/smr.2227 IF: 1.30

Chen H, Damevski K, Shepherd DC, Kraft NA, 2019. Modeling Hierarchical Usage Context for Software Exceptions based on Interaction Data. Journal of Automated Software Engineering, https://link.springer.com/article/10.1007/s10515-019-00265-3 IF: 2.20

Chen H, Coogle J, Damevski K, 2019. Modeling Stack Overflow Tags and Topics as a Hierarchy of Concepts. Journal of Systems and Software, https://www.sciencedirect.com/science/article/pii/S0164121219301499 IF: 2.56

Li X, Smith JD, Dinh T, Thai  M. 2019. TipTop: Almost Exact Solutions for Influence Maximization in Billion-Scale Networks. IEEE/ACM Transactions on Networking (TON) 27. https://ieeexplore.ieee.org/document/8661545. IF: 2.19

Nguyen H, Cano A, Tam V, Dinh T, 2019. Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach. IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2019.2904969 https://ieeexplore.ieee.org/document/8666777 IF: 3.86

Jakaria AHM, Rahman MA, Fung C, 2019. A Requirement-Oriented Design of NFV Topology by Formal Synthesis. IEEE Transaction on Network and Service Management. 16(4)  IF: 4.68

Fung C, François J, Cordeiro W, Zhani MF, 2019. Advanced security management. International Journal of Network Management 29(3) IF: 1.23

Fung C, Rashidi B, Motti VG, 2019. Multi-View Permission Risk Notification for Smartphone System. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA). 10(1):42-57. IF: 0.42

Rana, P, Berry, C, Ghosh, P, Fong, SS. Recent advances on constraint-based models by integrating machine learning. Current Opinion in Biotechnology, 64: 85-91, 2020 (eprint ahead of pub). https://www.sciencedirect.com/science/article/pii/S095816691930117X  IF: 8.083

Reddy, D, Ghosh, P, Kumavath, R. Strophanthidin attenuates MAPK, PI3K/AKT/mTOR and Wnt/β-catenin signaling pathways in Human Cancers. Frontiers in Oncology, 2019. https://www.frontiersin.org/articles/10.3389/fonc.2019.01469/abstract  IF: 4.137

Almeida, MO, do Carmo, FLR, Gala-García, A, Kato, R, Gomide, AC, Drummond, RMN, Drumond, MM, Agresti, PM, Barh, D, Brening, B, Ghosh, P, Silva, A, Azevedo, V, Viana, MVC. Lactobacillus crispatus protects against bacterial vaginosis. Genetics and Molecular Research, 18(4), 2019. https://www.geneticsmr.com/articles/lactobacillus-crispatus-protects-against-bacterial-vaginosis  IF: 0.78

Ivanova, ME, Zolnikova, IV, Gorgisheli, KV, Atarshchikov, DS, Ghosh, P and Barh, D. Novel frameshift mutation in NYX gene in a Russian family with complete congenital stationary night blindness. Opthalmic Genetics, 2019. https://www.tandfonline.com/doi/full/10.1080/13816810.2019.1698617  IF: 1.285

Imchen, M, Vennapu, R, Ghosh, P, Kumavath, R. Insights into antagonistic interactions of multidrug resistant bacteria in mangrove sediments from the south Indian state of Kerala. MDPI Microorganims, 7(12): 678, 2019. https://www.mdpi.com/2076-2607/7/12/678  IF: 4.167

Reddy, D, Kumavath, R, Ghosh, P, Barh, D. Lanatoside C induces G2/M cell cycle arrest and suppresses cancer cell growth by attenuating MAPK/Wnt, JAK/STAT, and PI3K/AKT/mTOR signaling pathways. MDPI Biomolecules, 9(12): 792, 2019. https://www.mdpi.com/2218-273X/9/12/792  IF: 4.694

Morais-Rodrigues F, Silv Erio-Machado R, Kato RB, Rodrigues DLN, Valdez-Baez J, Fonseca V, San EJ, Gomes LGR, Dos Santos RG, Vinicius Canário Viana M, da Cruz Ferraz Dutra J, Teixeira Dornelles Parise M, Parise D, Campos FF, de Souza SJ, Ortega JM, Barh D, Ghosh P, Azevedo V, Dos Santos MA. Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression. Elsevier Gene, 2019. https://www.sciencedirect.com/science/article/abs/pii/S0378111919308273?via%3Dihub  IF: 2.638

Sousa TJ, Parise D, Profeta R, Parise MTD, Gomide ACP, Kato RB, Pereira FL, Figueiredo HCP, Ramos R, Brenig B, Costa da Silva ALD, Ghosh P, Barh D, Góes-Neto A, Azevedo V. Re-sequencing and optical mapping reveals misassemblies and real inversions on Corynebacterium pseudotuberculosis genomes. Nature Scientific Reports, 9(1): 16387, 2019. https://doi.org/10.1038/s41598-019-52695-4   IF: 4.525

Imchen, M, Kumavath, R, Vaz, A, Góes-Neto, A, Barh, D, Ghosh, P, Kozyrovska, N, Podolich, O, and Azevedo, V. 16S rRNA gene amplicon based metagenomic signatures of rhizobiome community in rice field during various growth stages. Frontiers in Microbiology, 10: 2103, 2019. https://www.frontiersin.org/articles/10.3389/fmicb.2019.02103/full   IF: 4.259

Ibraim IC, Parise MTD, Parise D, Sfeir MZT, de Paula Castro TL, Wattam AR, Ghosh P, Barh D, Souza EM, Góes-Neto A, Gomide ACP, Azevedo V.  Transcriptome Profile of Corynebacterium pseudotuberculosis in Response to Iron Limitation. BMC Genomics, 20(1): 663, 2019. https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-6018-1  IF: 4.142

Rana, P, Franco, EF, Rao, Y, Syed, K, Barh, D, Azevedo, V, Ramos, RTJ, Ghosh, P. Evaluation of the genomic basis for Alzheimer’s and Parkinson’s Diseases. Int. J. Mol. Sci., 20:3730, 2019. https://www.mdpi.com/1422-0067/20/15/3730  IF: 4.183

Vilela Rodrigues, T, Jaiswal, A, Ferreira, A, Oliveira, L, Oliveira, CJ, Tiwari, S, Ghosh, P, Benevides, L, Miranda, FM, Azevedo, V, Soares, S. Reverse Vaccinology and Subtractive Genomics reveals new therapeutic targets against Mycoplasma pneumoniae, a causative agent of pneumonia. Royal Society Open Science, 6(7), 2019. https://royalsocietypublishing.org/doi/full/10.1098/rsos.190907   IF: 2.515

Divyashree, M, Mani, MK, Reddy, D, Kumavath, R, Ghosh, P, Azevedo, V, Barh, D. Clinical Applications of Antimicrobial Peptides (AMPs): where do we stand now? Protein & Peptide Letters, 2019. http://www.eurekaselect.com/175117/article   IF: 1.168

Acosta-Smith, E, León-Sicairos, N, Barh, D, Tiwari, S, Flores-villaseñor, HM, Canizalez-Roman, A, Ghosh, P and Azevedo, V. Piper betel compounds Piperidine, Eugenyl acetate, and Chlorogenic acid are broad-spectrum anti-Vibrio compounds that are also effective on MDR strains of the pathogen.  MDPI Pathogens, 8(2): 64, 2019. https://www.mdpi.com/2076-0817/8/2/64 IF: 3.405

Da Silva, WM, Oliveira, LC, Soares, SC, Sousa, CS, Tavares, GC, Resende, CP, Pereira, FL, Ghosh, P, Figueiredo, HCP, Azevedo, V. Quantitative proteomic analysis of the response of probiotic putative Lactocuccus lactis NCDO 2118 strain to different oxygen availability under temperature variation. Frontiers in Microbiology, 2019. https://www.frontiersin.org/articles/10.3389/fmicb.2019.00759/full IF: 4.259

Das, S, Pidaparti, R and Ghosh, P. An integrated parametric model for MT self-assembly formation analysis, Biosystems 176: 6-12, 2019. https://www.sciencedirect.com/science/article/pii/S0303264718302211   IF: 1.623

Tiwari, S, Barh, D, Imchen, M, Rao, E, Kumavath, R, Seenivasan, S, Jaiswal, AK, Jamal, SB, Kumar, V, Ghosh, P, Azevedo, V. Acetate kinase (AcK) is essential for microbial growth and betel compounds potentially target AcK, PhoP, and MDR proteins in M. tuberculosis, V. cholerae, and pathogenic E. coli: An in silico and in vitro study, Curr Top Med Chem. 2019 Jan 20. https://www.ingentaconnect.com/contentone/ben/ctmc/2018/00000018/00000031/art00008  IF: 3.442

Krawczyk B, Koziarski M, Wozniak M, 2019. Radial-based Oversampling for Multiclass Imbalanced Data Classification. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2019.2913673 https://ieeexplore.ieee.org/abstract/document/8743475 IF: 11.68

Cano A, Krawczyk B, 2019. Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams. Pattern Recognition, 87:248-268 https://www.sciencedirect.com/science/article/abs/pii/S0031320318303765 IF: 5.90

Gómez-Ríos A, Tabik S, Luengo J, Shihavuddin ASM, Krawczyk B, Herrera F, 2019. Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Systems with Applications 118: 315-328 https://www.sciencedirect.com/science/article/pii/S0957417418306523 IF: 4.29

Sáez JA, Galar M, Krawczyk B, 2019. Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy. IEEE Access 7: 83396-83411 https://ieeexplore.ieee.org/document/8746159 IF: 4.10

Koziarski M, Krawczyk B, Wozniak M, 2019. Radial-Based Oversampling for Noisy Imbalanced Data Classification. Neurocomputing 343: 19-33 https://www.sciencedirect.com/science/article/pii/S0925231219301596 IF: 4.07

Skryjomski P, Krawczyk B, Cano A. Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs. Neurocomputing, 354:10-19 https://www.sciencedirect.com/science/article/pii/S0925231219304588 IF: 4.07

Cano JR, Gutiérrez PA, Krawczyk B, Wozniak M, García S, 2019. Monotonic Classification: An Overview on Algorithms, Performance Measures and Data Sets. Neurocomputing 341: 168-182 https://www.sciencedirect.com/science/article/pii/S0925231219302383 IF: 4.07

Cano A, Krawczyk B, 2019. Kappa Updated Ensemble for Drifting Data Stream Mining. Machine Learning, doi: 10.1007/s10994-019-05840-z https://link.springer.com/article/10.1007/s10994-019-05840-z IF: 2.81

Roseberry M, Krawczyk B, Cano A, 2019. Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Transactions on Knowledge Discovery from Data, 13(6):60 https://dl.acm.org/citation.cfm?doid=3366748.3363573 IF: 2.54

Krawczyk B, Triguero I, García S, Wozniak M, Herrera F, 2019. Instance Reduction for One-Class Classification. Knowledge and Information Systems 59(3): 601-628 https://link.springer.com/article/10.1007%2Fs10115-018-1220-z IF: 2.40

Yan J, Cheng J, Kurgan L, Uversky VN, 2019. Structural and Functional Analysis of “Non-smelly” Proteins. Cellular and Molecular Life Sciences, doi: 10.1007/s00018-019-03292-1 https://link.springer.com/article/10.1007/s00018-019-03292-1 IF: 7.01

Ghadermarzi S, Li X, Li M, Kurgan L, 2019. Sequence-derived Markers of Drug Targets and Potentially Druggable Human Proteins. Frontiers in Genetics, doi: 10.3389/fgene.2019.01075 https://www.frontiersin.org/articles/10.3389/fgene.2019.01075/full IF: 3.52

Li F, Chen J, Leier A, Marquez-Lago T, Liu Q, Wang Y, Revote J, Smith A, Akutsu T, Webb GI, Kurgan L, Song J, 2019. DeepCleave: A Deep Learning Predictor for Caspase and Matrix Metalloprotease Substrates and Cleavage Sites, Bioinformatics, doi: 10.1093/bioinformatics/btz721 IF: 4.53

Katuwawala A, Oldfield CJ, Kurgan L, 2019. DISOselect: Disorder Predictor Selection at the Protein Level. Protein Science, doi: 10.1002/pro.3756 https://onlinelibrary.wiley.com/doi/full/10.1002/pro.3756 IF: 2.42

Katuwawala A, Oldfield CJ, Kurgan L, 2019. Accuracy of Protein-level Disorder Predictions. Briefings in Bioinformatics, doi: 10.1093/bib/bbz100, IF: 9.10

Oldfield CJ, Peng Z, Uversky VN, Kurgan L, 2019. Codon Selection Reduces GC Content Bias in Nucleic Acids Encoding for Intrinsically Disordered Proteins. Cellular and Molecular Life Sciences, doi: 10.1007/s00018-019-03166-6 https://link.springer.com/article/10.1007%2Fs00018-019-03166-6 IF: 7.01

Amirkhani A, Kolahdoozi M, Wang C, Kurgan L, 2019. Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps. IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBB.2018.2890261 https://ieeexplore.ieee.org/document/8594649 IF: 2.90

Zhang J, Kurgan L, 2019. SCRIBER: Accurate and Partner Type-specific Prediction of Protein-binding Residues from Proteins Sequences. Bioinformatics, 35(14):i343–i353 IF: 4.53

Zhang F, Song H, Zeng M, Li Y, Kurgan L, Li M, 2019. DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions. Proteomics, 19(12):e1900019 https://onlinelibrary.wiley.com/doi/full/10.1002/pmic.201900019 IF: 3.11

Groenendyk J, Fan Z, Peng Z, Kurgan L, Michalak M, 2019. Endoplasmic Reticulum and the MicroRNA Environment in the Cardiovascular System. Canadian Journal of Physiology and Pharmacology, 97(6):515-527 IF: 2.04

Katuwawala A, Peng Z, Yang J, Kurgan L, 2019. Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions. Computational and Structural Biotechnology Journal, 17:454-46 https://www.sciencedirect.com/science/article/pii/S2001037019300340 IF: 4.72

Brown P, RELISH Consortium (Kurgan L and 1500 other members), Zhou Y, 2019. Large Expert-curated Database for Benchmarking Document Similarity Detection in Biomedical Literature Search. Database, doi: 10.1093/database/baz085 IF: 3.68

Li X, Luo C, Ji H, Zhuang Y, Zhang H, Leung V, 2019. Energy Consumption Optimization for Self-powered IoT Networks with Non-orthogonal Multiple Access. International Journal of Communication Systems. Database, doi: 10.1002/dac.4174, https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.4174 IF: 1.278

Bishnu PB, Paudyal S, Luo Y, Mohanpurkar M, Cheung K, Tonkoski R, Hovsapian R, Myers KS, Zhang R, Zhao P, Manic M, Zhang S, Zhang X. 2019. Big Data Analytics in Smart Grids: State-of-the-Art, Challenges, Opportunities, and Future Directions, IET Smart Grid, vol. 2, no. 2, pp. 141-154. (IF not available)

Marino D, Manic M. 2019. Modeling and Planning under Uncertainty using Deep Neural Networks, IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp. 4442-4454. https://ieeexplore.ieee.org/document/8717678. IF: 7.37

Damiano A, Rieger C, Vyatkin V, Manic M. 2019. Resilience in Energy Industries—Recent Advances, Open Challenges, and Future Directions, Special Section Editorial, IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4315-4318. https://ieeexplore.ieee.org/document/8755903. IF: 7.37

Yan X, Ye Y, Qiu X, Manic M, Yu H. 2019. CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts, IEEE Transactions on Industrial Informatics ( Early Access). https://ieeexplore.ieee.org/document/8823028 IF: 7.37

Wickramasinghe CS, Amarasinghe K, Manic M. 2019. Deep Self-Organizing Maps for Unsupervised Image Classification, IEEE Transactions on Industrial Informatics, vol. 15, no. 11, pp. 5837-5845. https://ieeexplore.ieee.org/document/8669852. IF: 7.37

Henry S, McInnes BT. Indirect association and ranking hypotheses for literature based discovery. BMC bioinformatics. 20 (1), 425, 2019. https://link.springer.com/article/10.1186/s12859-019-2989-9. IF: 2.213.

Henry S, McQuilkin A,  McInnes BT. Association measures for estimating semantic similarity and relatedness between biomedical concepts. Artificial intelligence in medicine, 93, 1-10, 2019. https://www.sciencedirect.com/science/article/pii/S0933365717304475. IF: 3.574

Garousi V, Shepherd DC and Herkiloglu K. Successful Engagement of Practitioners and Software Engineering Researchers: Evidence From 26 International Industry-Academia Collaborative Projects, in IEEE Software, 2019. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8704922&isnumber=5204063. IF:  2.945

Garousi V, Pfahl D, Fernandes J, Felderer M, Mäntylä M, Shepherd DC, Arcuri A, Coşkunçay A, Tekinerdogan B. Characterizing industry-academia collaborations in software engineering: evidence from 101 projects, Empir Software Eng (2019) 24: 2540. https://doi.org/10.1007/s10664-019-09711-y IF: 4.457

Murphy-Hill E, Jaspan C, Sadowski C, Shepherd DC, Phillips M, Winter C, Knight A, Smith E, Jorde M., What Predicts Software Developers' Productivity?, IEEE Transactions on Software Engineering. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8643844&isnumber=4359463 IF: 3.272

Henry RS, Perrin PB, Coston BM, Witten TM. 2019. Transgender and gender non-conforming adult preparedness for aging: Concerns for aging, and familiarity with and engagement in planning behaviors. Int. J.Transgenderism, https://doi.org/10.1080/15532739.2019.1690612 IF 2.325

Seung Geol Choi, Jonathan Katz, Dominique Schröder, Arkady Yerukhimovich, Hong-Sheng Zhou: (Efficient) Universally Composable IF: 1.237

Dana Dachman-Soled, S. Dov Gordon, Feng-Hao Liu, Adam O'Neill, Hong-Sheng Zhou: Leakage Resilience from Program Obfuscation. J. Cryptology 32(3): 742-824 (2019) CORE rank A*; IF: 1.237:

Qasim A, Lopez J, Ahmed I, 2019. Automated Reconstruction of Control Logic for Programmable Logic Controller Forensics. In: Lin Z., Papamanthou C., Polychronakis M. (eds) Information Security. ISC 2019. Lecture Notes in Computer Science, vol 11723. Springer, Cham, DOI:https://doi.org/10.1007/978-3-030-30215-3_20 https://link.springer.com/chapter/10.1007/978-3-030-30215-3_20 (CORE rank B)

Yoo H, Ahmed I, 2019. Control Logic Injection Attacks on Industrial Control Systems. In: Dhillon G., Karlsson F., Hedström K., Zúquete A. (eds) ICT Systems Security and Privacy Protection. SEC 2019. IFIP Advances in Information and Communication Technology, vol 562. Springer, Cham, DOI:https://doi.org/10.1007/978-3-030-22312-0_3 https://link.springer.com/chapter/10.1007/978-3-030-22312-0_3  (CORE rank B)

Yoo H., Kalle S, Smith J, Ahmed I, 2019. Overshadow PLC to Detect Remote Control-Logic Injection Attacks. In: Perdisci R., Maurice C., Giacinto G., Almgren M. (eds) Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2019. Lecture Notes in Computer Science, vol 11543. Springer, Cham, DOI:https://doi.org/10.1007/978-3-030-22038-9_6 https://link.springer.com/chapter/10.1007/978-3-030-22038-9_6 (CORE rank C)

Kalle S, Ameen N, Yoo H, Ahmed I, 2019. CLIK on PLCs! Attacking control logic with decompilation and virtual PLC. In: Binary Analysis Research (BAR) Workshop, Network and Distributed System Security Symposium (NDSS). 

Deshpande P, Ahmed I, 2019. Topological Scoring of Concept Maps for Cybersecurity Education. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 731-737. DOI: https://doi.org/10.1145/3287324.3287495 https://dl.acm.org/citation.cfm?id=3287495 (CORE rank A)

Deshpande P, Lee C, Ahmed I, 2019. Evaluation of Peer Instruction for Cybersecurity Education. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 720-725. DOI: https://doi.org/10.1145/3287324.3287403 https://dl.acm.org/citation.cfm?id=3287403 (CORE rank A)

Ahmed I, 2019. Ladder Logic Decompiler for Supervisory Control and Data Acquisition (SCADA) Network Forensic. In Proceedings of the 71st Annual Meeting of the American Academy of Forensic Sciences 

Weems C, Richard G, Ahmed I, Russell J, Neill E, Monica M, 2019. Susceptibility and Resilience to Cyber Threat:  Findings from a Scenario Decision Program to Measure Secure and Insecure Computing Behavior. In International Convention of PsychologicalScience (ICPS), March 2019, Paris, France. (Poster)

Dhungana A, Bulut E, 2019. Mobile Energy Balancing in Heterogeneous Opportunistic Networks, in Proceedings of the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Monterey, CA, USA, November 4 - 7. (CORE rank B)

Dhungana A, Bulut E, 2019. Loss-Aware Efficient Energy Balancing in Mobile Opportunistic Networks, in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 9-13 December 2019, Waikoloa, HI, USA. (CORE rank B)

Yucel F, Bulut E, 2019. Joint Optimization of System and User oriented Task Assignment in Mobile Crowdsensing, in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 9-13 December 2019, Waikoloa, HI, USA. (CORE rank B)

Hernandez S, Bulut E, 2019. TrinaryMC: Monte Carlo Based Anchorless Relative Positioning for Indoor Positioning, in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), 10-13 January 2020, Las Vegas, USA. (CORE rank B)

Yucel F, Bulut E, 2019. Location-dependent Task Assignment for Opportunistic Mobile Crowdsensing, in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), 10-13 January 2020, Las Vegas, USA. (CORE rank B)

Erdin E, Cebe M, Akkaya K, Bulut E, Uluagac S, 2019. A Heuristic-based Private Bitcoin Payment Network Formation Using Off-Chain Links, in Proceedings of The International Conference on Blockchain (Blockchain-2019), Atlanta, July 14-17.

Dhungana A, and Bulut E, 2019. Energy sharing based Content Delivery in Mobile Social Networks, in Proceedings of 20th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Washington D.C., June (acceptance ratio 16%). https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8793005 (CORE rank A)

Bulut E, Yuksel M, 2019. Integrating In-Network Computing for Secure and Efficient Cascaded Delivery in DTNs, in Proceedings  of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019), Workshop on Network Meets Intelligent Computations (NMIC), Dallas, July. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8815626 

Chaudhry S, Bulut E, Yuksel M, 2019. A Distributed SDN Application for Cross-Institution Data Access, in Proceedings of 28th International Conference on Computer Communications and Networks (ICCCN 2019), July. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8846921(CORE rank A)

Ucer E, Buckreus R, Kisacikoglu MC, Bulut E, Guven M, Sozer Y, Giubbolini L, 2019. A Flexible V2V Charger as a New Layer of Vehicle-Grid Integration Framework, in Proceedings of IEEE Transportation Electrification Conference (ITEC). https://ieeexplore.ieee.org/abstract/document/8790483

Bulut E, Guvenc I, Akkaya K, 2019. Privacy Preserving Distributed Matching for Device-to-Device IoT Communications, in Proceedings of The 12th ACM Conference on Security and Privacy (ACM WiSec), Miami, May (Poster). https://dl.acm.org/citation.cfm?id=3326309

Chowdhury MU, Maeng SJ, Guvenc I, Bulut E, 2019. Effects of 3D antenna radiation and two-hop relaying on optimal UAV trajectory in cellular networks, in Proceedings of IEEE Aerospace Conference, Big Sky, MT, March. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8742119

Chowdhury MU, Bulut E, Guvenc I, 2019. Trajectory Optimization in UAV-Assisted Cellular Networks under Mission Duration Constraint, in Proceedings of IEEE Radio & Wireless Week (RWS), Orlando, Jan. https://ieeexplore-ieee-org.proxy.library.vcu.edu/document/8714567

Korycki L, Cano A, Krawczyk B, 2019. Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData. (acceptance rate 19.7%)

Krawczyk B, Cano A, 2019. Adaptive ensemble active learning for drifting data stream mining. International Joint Conference on Artificial Intelligence, 2763-2771 https://www.ijcai.org/proceedings/2019/0383.pdf (CORE rank A*)

Gonzalez J, Ventura S, Cano A, 2019. ARFF data source library for distributed single/multiple instance, single/multiple output learning on Apache Spark. International Conference on Computational Science, 173-179, https://link.springer.com/chapter/10.1007/978-3-030-22744-9_13 (CORE rank A) 

Moyano J, Gibaja E, Ventura S, Cano A, 2019. Speeding up Classifier Chains in Multi-Label Classification. International Conference on Internet of Things, Big Data and Security, 29-37, http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007614200290037 

Chatterjee P, Damevski K, Pollock L, Augustine V, Kraft NA, 2019. Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools. International Conference on Mining Software Repositories (MSR’19), Montreal, Canada, https://dl.acm.org/citation.cfm?id=3341883.3341961 (CORE rank A) 

Nishi MA, Ciborowska A, Damevski K, 2019. Characterizing Duplicate Code Snippets between Stack Overflow and Tutorials. International Conference on Mining Software Repositories (MSR’19) - Mining Challenge, Montreal, Canada, https://dl.acm.org/citation.cfm?id=3341927 (CORE rank A)

Chen H, Ciborowska A, Damevski K, 2019. Using Automated Prompts for Student Reflection on Computer Security Concepts. ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE’19), Aberdeen, UK, https://dl.acm.org/citation.cfm?id=3319731 (CORE rank A)

Thai PD, Dinh TN. 2018.  Hop-Based Sketch for Large-Scale Influence Analysis. 8th International Conference, (CSoNet'19), HCM City, Vietnam. https://link.springer.com/chapter/10.1007/978-3-030-34980-6_12  

Nguyen LN, Nguyen TDT, Dinh TN,  Thai MT. 2019. OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding. 39thIEEE International Conference on Distributed Computing Systems, Dallas, TX, USA. https://conferences.computer.org/icdcs/2019/pdfs/ICDCS2019-49XpIlu3rRtYi2T0qVYnNX/70i1KKH9y3F9ZUPHt1HHn1/3VWiUa2Mop58ZqsQPv0fQ2.pdf (CORE Rank A)

Bui N, Pham N, Barnitz J, Zou Z, Nguyen P, Truong H, Kim T,  Nguyen A, Farrow N, Xiao J, Deterding R, Dinh T, Vu T, 2019. eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear. The 25th ACM International Conference on Mobile Computing and Networking (MOBICOM'19), Los Carbos, Mexico. (CORE Rank A*) [--- Best Paper Award ---]

Narasareddygari, MR, Walia, GS, Duke, DM, Ramasamy, V, Kiper, J, Davis, DL, ... & Alomari, HW, 2019. Evaluating the Impact of Combination of Engagement Strategies in SEP-CyLE on Improve Student Learning of Programming Concepts. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 1130-1135). ACM. https://dl.acm.org/citation.cfm?doid=3287324.3287413 (CORE rank A)

Duke, DM,  Thirunarayanan, M,  Byram, A, & Clarke, PJ, 2019. Students’ Perceptions Of the Implementation of a Cyberlearning Tool Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. https://peer.asee.org/33316

Borchert, O, Byram, A, Duke, DM, Radermacher, AD, Narasareddygari, MR, Walia, GS, 2019. Experiences Using a Cyber Learning Environment in CS1 Classrooms Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. https://peer.asee.org/32791

Sosnkowski A, Ramkumar S, Coffman D, Fung C, Levy J. An Analysis of Twitter Users' Political Views using Cross-Account Data Mining. 2nd International Conference on Smart Technologies in Data Science and Communication (SMARTDSC-19).  

Rustgi P, Fung C. DroidNet-An Android Permission Control Recommendation System Based on Crowdsourcing. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).  https://ieeexplore.ieee.org/abstract/document/8717925 (CORE rank A)

Xu J, Fung C. A Risk-defined Trust Transitivity Model for Group Decisions in Social Networks. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). https://ieeexplore.ieee.org/document/8717900 (CORE rank A)

McCormick B, Halabian H, Fung C. Distributed Orchestration in Cloud Data Centers. 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). https://ieeexplore.ieee.org/document/8717916 (CORE rank A)

Xu L, Luan Z, Fung C, Ye D, Qian D. Anomaly Detection Models Based on Context-aware Sequential Long Short-Term Memory Learning. in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), 9-13 December 2019, Waikoloa, HI, USA. (CORE rank B)

Syed, K, Nalluri, J, Sleeman Iv, W, Soni, P, Palta, J, Kapoor, R and Ghosh, P. Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data. IEEE ICCABS, 2019 (to appear in LNCS proceedings). https://iccabs.engr.uconn.edu/accepted_papers.html

Pilkiewicz, KR, Rana, P, Mayo, ML, Ghosh, P. Self-Assembly from a Single-Molecule Perspective, BICT 2019, pp. 147-155. https://link.springer.com/chapter/10.1007/978-3-030-24202-2_11

Franco, E, Maués, D, Alves, R, Guimarães, L, Azevedo, V, Silva, A, Ghosh, P, Morais, J, and Ramos, R. A clustering approach to identify candidates to housekeeping genes based on RNA-seq data. BSB 2019. http://bsb.sbc.org.br/2019/

Nalluri, J, Kapoor, R, Sleeman IV, W, Syed, K, Shahrezaei, MA, Chin, B, Schneider, T, Kim, M, Rana, P, Hagan, M, Ghosh, P and Palta, J. Health Information Gateway and Exchange (HINGE): Automated data aggregation and analytics in Radiation Oncology. ICCR 2019.  (abstract) http://iccr-mcma.org/full-program/ 

Nalluri, J, Kapoor, R, Sleeman IV, W, Syed, K, Shahrezaei, MA, Chin, B, Schneider, T, Kim, M, Rana, P, Hagan, M, Ghosh, P and Palta, J. Infrastructure for a Radiation Oncology Quality Surveillance Program. ICCR 2019. (abstract) http://iccr-mcma.org/full-program/ 

Rana, P, Ghosh, P, Anscher, MS, Mikkelsen, RB, Yakovlev, V. Exosomal miRNA as a non-invasive prediction marker of normal tissue toxicity after radiotherapy for prostate cancer. AACR 2019. (abstract). https://cancerres.aacrjournals.org/content/79/13_Supplement/1802.short

Nalluri, J, Kapoor, R, Sleeman IV, W, Syed, K, Shahrezaei, MA, Chin, B, Schneider, T, Kim, M, Rana, P, Hagan, M, Ghosh, P and Palta, J. Health Information Gateway and Exchange (HINGE): Realizing the potential of Big data in Radiation Oncology. ICCR 2019 (abstract) http://iccr-mcma.org/full-program/ 

Syed, K, Sleeman IV, W, Nalluri, J, Hagan, M, Ghosh, P, Palta, J and Kapoor, R. Rule-based pattern matching and text extraction from radiotherapy clinical notes: is there a match? ICCR 2019. (abstract) http://iccr-mcma.org/full-program/ 

Rana, P, Saha, J, Steen, E, Vaidya, A, Rangachari, V, Ghosh, P. A Computational Framework for Preferential Switching of Competing Aβ Aggregation Pathways Based on Game Theory Approach. 2019, Biophysical Journal 116(3):420a, DOI: 10.1016/j.bpj.2018.11.2264. (abstract) https://cancerres.aacrjournals.org/content/79/13_Supplement/1802.short

Syed, K, Sleeman IV, W, Nalluri, J, Hagan, M, Ghosh, P, Palta, J and Kapoor, R. Machine Learning Method to Automate Incident Triage in Radiotherapy Incident Reporting and Analysis System (RIRAS), AAPM 2019. (abstract) https://w3.aapm.org/meetings/2019AM/programInfo/programAbs.php?sid=7994&aid=45772

Sleeman IV, W, Nalluri, J, Syed, K, Ghosh, P, Hagan, M, Palta, J and Kapoor, R. Machine Learning Method to Automate Structure Name Mapping, AAPM 2019. (abstract) https://w3.aapm.org/meetings/2019AM/programInfo/programAbs.php?sid=8120&aid=45737 

Nalluri, J, Kapoor, R, Sleeman, WC, Soni, PD, Ghosh, P, Khajamoinuddin, S, Hagan, M, Palta, J. Health Information and Gateway Exchange (HINGE): Big Data Curation Tool for Radiation Oncology. International Journal of Radiation Oncology• Biology• Physics, 2019. (abstract) https://www.redjournal.org/article/S0360-3016(19)33099-8/abstract 

Krawczyk B, Cano A, 2019. Adaptive ensemble active learning for drifting data stream mining. International Joint Conference on Artificial Intelligence, 2763-2771 https://www.ijcai.org/proceedings/2019/0383.pdf (CORE rank A*)

Krawczyk B, Wozniak M, 2019. On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. International Conference on Computational Sciences ICCS (3): 180-191 https://link.springer.com/chapter/10.1007%2F978-3-030-22744-9_14 (CORE rank A)

Korycki L, Cano A, Krawczyk B, 2019. Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData. (acceptance rate 19.7%)

Sleeman IV W, Krawczyk B, 2019. Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark. IEEE BigData. (acceptance rate 19.7%)

Korycki L, Krawczyk B, 2019. Unsupervised Drift Detector Ensembles for Data Stream Mining. IEEE International Conference on Data Science and Advanced Analytics DSAA (acceptance rate 24.5%)

Seng S, Li X, Luo C, Ji H, Zhang H, 2019. A D2D-Assisted MEC in the Blockchain-based Framework for UDNs. IEEE International Conference on Communications (ICC’19). https://ieeexplore.ieee.org/abstract/document/8762023  (CORE rank B)

Gao Y, Wang Z, Fang C, Luo C, You S, 2019. Optimal Connected Cruise Control Design with Stochastic Communication Delays. IEEE International Conference on Green Computing and Communications (GreenCom’19). (to appear in IEEE Xplore) 

Ji T, Luo C, Guo Y, Wang Q, Liao W, Li P, 2019. Differentially Private Community Detection in Attributed Social Networks. The 11th Asian Conference on Machine Learning (ACML’19). http://proceedings.mlr.press/v101/ji19a.html (Acceptance Ratio = 30 (oral)/291 = 10.3%)

Chen S, Li X, Luo C, Ji H, Zhang H, 2019. Energy-Efficient Power, Position and Time Control in UAV-assisted Wireless Networks. IEEE Global Telecommunications Conference (GLOBECOM’19), workshop on Intelligent Wireless Emergency Communication Networks.

Han X, Li X, Luo C, Ji H, Zhang H, 2019. Incentive Mechanism with the Caching Strategy for Content Sharing in Vehicular Networks.  IEEE Global Telecommunications Conference (GLOBECOM’19), workshop on V2X Technologies for Next Generation Driving Paradigm.

Marino D, Wickramasinghe C, Rieger C, Manic M. 2019. Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions, in Proc. 45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019, Lisbon, Portugal. https://ieeexplore.ieee.org/abstract/document/8927060 (B1 by Qualis)

Marino D, Wickramasinghe C, Amarasinghe K, Challa H, Richardson P, Jillepalli A, Johnson BK, Rieger C, Manic M. 2019. Cyber and Physical Anomaly Detection in Smart-Grids, in Proc. of the IEEE Resilience Week (RW) 2019, San Antonio, TX, USA. http://www.people.vcu.edu/~mmanic/papers/2019/RW19_MariWickAmarManic_CyberPhysicalADInSmartGrids.pdf (to appear in IEEE Xplore)

Wickramasinghe C, Amarasinghe K, Marino D, Spielman Z, Pray I, Gertman D, and Manic M. 2019. Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets, in Proc. 12th International Conference on Human System Interaction, IEEE HSI 2019, Richmond VA, USA.  https://pdfs.semanticscholar.org/80ca/ff62cc9612e0f9fa228888905c9a667ac47a.pdf? (to appear in IEEE Xplore)

Stuart M, Wickramasinghe C, Marino D, Kumbhare D, Holloway K, Manic M. 2019. Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG, in Proc. 12th International Conference on Human System Interaction, IEEE HSI 2019, Richmond VA, USA. https://pdfs.semanticscholar.org/d615/47ee1a3e7fc6b7a842dde77671078fb28d23.pdf (to appear in IEEE Xplore)

Wickramasinghe C, Marino D, Yucel F, Bulut E, and Manic M. 2019. Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data, in Proc. 12th International Conference on Human System Interaction, IEEE HSI 2019, Richmond VA, USA. https://pdfs.semanticscholar.org/24ce/923adc9bcabf4b56d5692995ce233cf408c6.pdf (to appear in IEEE Xplore)

Amarasinghe K, Manic M. 2019. Explaining What a Neural Network has Learned: Toward Explainable Classification, FUZZ-IEEE 2019, New Orleans, USA. https://ieeexplore.ieee.org/document/8858899  (CORE rank A)

Olex A, Maffey L, McInnes BT. NLP Whack-A-Mole: Challenges in Cross-Domain Temporal Expression Extraction. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 3682-3692, 2019. CORE rank A.

Lee J, Blake C, McInnes BT. Evaluating ontology coverage and internal structure to better align patients with clinical trials. Proceedings of the Association for Information Science and Technology, 56 (1), 157, 2019.

Henry S, Panahi A, Wijesinghe DS, McInnes BT. A Literature Based Discovery Visualization System with Hierarchical Clustering and Linking Set Associations. AMIA Summits on Translational Science Proceedings, pp. 582, 2019.

Dorn R, Vrana S, and McInnes BT. Improving Accuracy of Patient Speech Transcription Using Dialect-Specific Automatic Speech Recognition Models. In Proceedings of the American Medical Informatics Association Annual Symposium, 2019. (poster)

Olex AL, Gal T, Afshar M, Dligach D, Karnik N, Oakes T, Sharma B, Xie M, McInnes BT, Solway J, Kho A, Cramer WC, and Moeller FG.  Untapped Potential of Clinical Text for Opioid Surveillance.  In Proceedings of the American Medical Informatics Association Annual Symposium, 2019. (poster)

Gurdin G, Vargas JA, Lewinski NA, and McInnes BT.  Quantifying the Sentiment of Online Drug Reviews.  Grace Hopper Celebration of Women in Computing Conference, 2019. (poster)

Cuffy C, Henry S, and McInnes BT. Unsupervised Text Similarity. In Proceedings of the n2c2/OHNLP Shared-Task and Workshop, 2019. (poster)

Shepherd DC, Kraft N, and Francis P, Visualizing the "hidden" variables in robot programs. In Proceedings of the 2nd International Workshop on Robotics Software Engineering (RoSE '19). IEEE Press, Piscataway, NJ, USA, 13-16. DOI: https://doi.org/10.1109/RoSE.2019.00007 (workshop @ ICSE, ICSE is A*)

Ritschel N, Holmes R, Garcia R, and Shepherd DC. Novice-friendly multi-armed robotics programming. In Proceedings of the 2nd International Workshop on Robotics Software Engineering (RoSE '19). IEEE Press, Piscataway, NJ, USA, 29-32. DOI: https://doi.org/10.1109/RoSE.2019.00013 (workshop @ ICSE, ICSE is A*)

Rahimi, F. Jiang, C. Ye, Y. Shen, Dynamic Spatiotemporal Pattern Identification and Analysis Using a Fingertip-Based Electro-Tactile Display Array, IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov. 4-8, 2019. (CORE rank A)

Zhang, L. Jin and C. Ye, A Depth-Enhanced Visual Inertial Odometry for a Robotic Navigation Aid for Blind People, Workshop on Visual-Inertial Navigation: Challenges and Applications at 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. (workshop paper, conference CORE rank A)

Zhang, L. Jin and C. Ye, A Comparative Analysis of Visual-Inertial SLAM for Assisted Wayfinding of the Visually Impaired, in Proc. IEEE Winter Conference on Applications of Computer Vision, pp. 210-217, 2019. (CORE rank A)

Zhang and C. Ye, Wayfinding and Human Intent Detection for Blind Navigation, IEEE International Conference on Human System Interaction, June 25-27, 2019.

Bingsheng Zhang, Hong-Sheng Zhou: Statement Voting. Financial Cryptography 2019: 667-685  (CORE rank B)

Sherman S. M. Chow, Alexander Russell, Qiang Tang, Moti Yung, Yongjun Zhao, Hong-Sheng Zhou: Let a Non-barking Watchdog Bite: Cliptographic Signatures with an Offline Watchdog. Public Key Cryptography (1) 2019: 221-251  (CORE rank B)

Nasr, T. Nadeem, 2019. A Novel Technique for Gait Analysis using Two Waist Mounted Gyroscopes, IEEE Global Communications Conference (GlobeCom), December 9-13, 2019. (CORE rank B)

Pasandi, T. Nadeem, 2019. Collaborative Intelligent Cross-Camera Video Analytics at Edge: Opportunities and Challenges, The International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2019) in conjunction with ACM SenSys, November 10, 2019. https://dl.acm.org/citation.cfm?id=3363360 (SenSys is CORE rank A*)

Uddin, T. Nadeem, S. Nukavarapu, 2019. Extreme SDN Framework for IoT and Mobile Applications Flexible Privacy at the Edge, The 17th IEEE International Conference on Pervasive Computing and Communications (PerCom’19), March 11 - 15, 2019. https://ieeexplore.ieee.org/document/8767413 (CORE rank A*)

H. Pasandi, T. Nadeem. Challenges and Limitations in Automating the Design of MAC Protocols Using Machine-Learning, The 1st IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2019), February 11-13, 2019. https://ieeexplore.ieee.org/document/8669008

Pilkiewicz, K, Rana, P, Mayo, M, Ghosh, P. Molecular Communication and Cellular Signaling from an Information Theory Perspective, Nanoscale Networking and Communications Handbook, CRC Press, 2019. https://www.taylorfrancis.com/books/9780429163043

Katuwawala A, Ghadermarzi S, Kurgan L, 2019. Computational Prediction of Functions of Intrinsically Disordered Regions, In: Uversky VN, (Ed), Dancing protein clouds: Intrinsically disordered proteins in health and disease, Part A, pp. 341-370, Academic Press, (ISBN 978-0-12-816851-6) https://www.sciencedirect.com/science/article/pii/S1877117319300766 

Oldfield C, Peng Z, Kurgan L, 2019. Disordered RNA Binding Region Prediction with DisoRDPbind, In: Heise T, (Ed.), Methods in Molecular Biology, vol. 2106, Springer Nature, (ISBN 978-1-07-160231-7) https://www.springer.com/gp/book/9781071602300 

Oldfield C, Uversky VN, Dunker AK, Kurgan L, 2019. Introduction to Intrinsically Disordered Proteins and Regions, In: Salvi N, (Ed.), Intrinsically Disordered Proteins: Dynamics, Binding and Function, pp. 1-36, Elsevier (ISBN 978-0-12-816348-1) https://www.sciencedirect.com/science/article/pii/B9780128163481000016 

Wang C, Brylinski M, Kurgan L, 2019. PDID: Database of Experimental and Putative Drug Targets in Human Proteome, In: Roy K, (Ed.), In Silico Drug Design: Repurposing Techniques and Methodologies, pp.827-847 Elsevier (ISBN 978-0-12-816125-8) https://www.sciencedirect.com/science/article/pii/B9780128161258000286 

Oldfield C, Chen K, Kurgan L, 2019. Computational Prediction of Secondary and Supersecondary Structures from Protein Sequences, In: Kister A, (Ed.), Methods in Molecular Biology, vol. 1958, pp. 73-100 Springer Nature, (ISBN 978-1-4939-9161-7) https://link.springer.com/protocol/10.1007%2F978-1-4939-9161-7_4 

Salem A, Nadeem T, Salonidis T, Desai N, 2019. Distributed Execution Platforms for Edge Computing, In: Taheri J & Deng S, (Ed.), Edge Computing: Models, Technologies and Applications, The Institution of Engineering and Technology (IET) Books (In Press) https://sites.google.com/site/ietedgebookproposal/home 

Züger M., Meyer A.N., Fritz T., Shepherd DC. (2019) Reducing Interruptions at Work with FlowLight. In: Sadowski C., Zimmermann T. (eds) Rethinking Productivity in Software Engineering. Apress, Berkeley, CA https://link.springer.com/chapter/10.1007/978-1-4842-4221-6_23