Vijayakanthan R, Ahmed I, Ali-Gombe A. 2023. SWMAT: Mel-frequency Cepstral Coefficients-based Memory Fingerprinting for IoT Devices. Computers & Security Journal, https://doi.org/10.1016/j.cose.2023.103298 

Ayub A, Jo W, Qasim S, Ahmed I. 2023. How Are Industrial Control Systems Insecure by Design? A Deeper Insight Into Real-World Programmable Logic Controllers. IEEE Security & Privacy, 21(4):10-19

Djenouri Y, Belbachir A, Cano A, Belhadi A, 2023. Spatio-temporal visual learning for home-based monitoring. Information Fusion, 101:101984 https://www.sciencedirect.com/science/article/pii/S1566253523003007 IF: 18.6 (Q1 rank)

Aguiar G, Cano A, 2023. Dynamic budget allocation for sparsely labeled drifting data streams. Information Sciences, 654:119821 https://www.sciencedirect.com/science/article/abs/pii/S0020025523014068 IF: 8.1 (Q1 rank)

Aguiar G, Krawczyk B, Cano A, 2023. A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. Machine Learning https://link.springer.com/article/10.1007/s10994-023-06353-6 IF: 7.5 (Q1 rank)

Eiji V, Cano A, Barbon S, 2023. Meta-learning for dynamic tuning of active learning on stream classification. Pattern Recognition, 138:109359 https://www.sciencedirect.com/science/article/pii/S0031320323000602 IF: 8.0 (Q1 rank)

Cranston DW, 2023. Mahmoud R. Kempe Equivalent List Colorings. Combinatorica, https://link.springer.com/article/10.1007/s00493-023-00063-2 IF: 1.1

Cranston DW, Mahmoud R, 2023. 5-Coloring Reconfiguration of Planar Graphs with No Short Odd Cycles. Journal of Graph Theory, https://onlinelibrary.wiley.com/doi/abs/10.1002/jgt.23064 IF: 0.9

Cranston DW, 2024. Odd-Sum Colorings of Planar Graphs. Discrete Applied Math. 342:82-88, https://www.sciencedirect.com/science/article/pii/S0166218X23003499?dgcid=rss_sd_all IF: 1.1

Cambie S, Cames van Batenburg W, Cranston DW, 2024. Optimally Reconfiguring List and Correspondence Colourings. European Journal of Combinatorics. 115:103798. https://www.sciencedirect.com/science/article/pii/S0195669823001154 IF: 1.0

Cranston DW, 2023. Odd Colorings of Sparse Graphs. J. of Combinatorics, https://www.intlpress.com/site/pub/pages/journals/items/joc/_home/acceptedpapers/index.php IF: 0.3

Cranston DW, LaFayette H, 2023. The t-Tone Chromatic Number of Classes of Sparse Graphs. Australasian J. Combinatorics. 86(3):458-476, https://ajc.maths.uq.edu.au/?page=get_volumes&volume=86 IF: 0.6

Cranston DW, 2023. Coloring, List Coloring, and Painting Squares of Graphs (and other related problems). Electronic Journal of Combinatorics. 30(2):Dynamic Survey #25, https://doi.org/10.37236/10898 IF: 0.626

Cranston DW, Lafferty M, Song ZX, 2023. A Note on Odd Colorings of 1-Planar Graphs. Discrete Applied Math. 330:1121117, https://www.sciencedirect.com/science/article/abs/pii/S0166218X23000112 IF: 1.1

Roy S, Dutta P, Ghosh P, 2023. Hierarchical Vaccine Allocation Based on Epidemiological and Behavioral Considerations, IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5):2981-2991. doi: 10.1109/TCBB.2023.3265317. IF: 4.5 (Q1 rank)

Pavithran H, Kumavath R, Ghosh P, 2023. Transcriptome Profiling of Cardiac Glycoside Treatment Reveals EGR1 and Downstream Proteins of MAPK/ERK Signaling Pathway in Human Breast Cancer Cells. International Journal of Molecular Sciences. 24(21):15922. https://doi.org/10.3390/ijms242115922 IF: 5.6 (Q1 rank)

Roy S, Ghosh N, Uplavikar N, Ghosh P, 2023. Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions. ACM Computing Surveys, 56(2):38 https://doi.org/10.1145/3609324 IF: 16.6 (Q1 rank)

Roy S, Al Musawi AF, Ghosh P, 2023. Inferring links in directed complex networks through feed forward loop motifs. Humanities & Social Sciences Communications, 10:358 https://doi.org/10.1057/s41599-023-01863-z IF: 3.5 (Q1 rank)

Al Musawi AF, Roy S, Ghosh P, 2023. Examining indicators of complex network vulnerability across diverse attack scenarios. Scientific Reports, 13:18208 https://doi.org/10.1038/s41598-023-45218-9 IF: 4.6 (Q2 rank)

Meas SJ, Daire GM, Friedman MA, DeNapoli R, Ghosh P, Farr JN, Donahue HJ, 2024. A comparison of bone microarchitectural and transcriptomic changes in murine long bones in response to hindlimb unloading and aging. Bone. 179:116973 doi: 10.1016/j.bone.2023.116973 IF: 4.1 (Q2 rank)

Roy S, Biswas P, Ghosh P, 2023. Determining the rate of infectious disease testing through contagion potential. PLOS Glob Public Health. 3(8):e0002229, doi: 10.1371/journal.pgph.0002229 IF: 3.3 (Q2 rank)

Bose P, Rana P, Ghosh P, 2023. Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications. IEEE Access, 11:80624-80646 doi: 10.1109/ACCESS.2023.3299877 IF: 3.9 (Q2 rank)

Pateras J, Rana P, Ghosh P, 2023. A Taxonomic Survey of Physics-Informed Machine Learning. Applied Sciences. 13(12):6892 https://doi.org/10.3390/app13126892 IF: 2.7 (Q2 rank)

Kapoor R, Sleeman WC, Ghosh P, Palta J, 2023. Infrastructure tools to support an effective Radiation Oncology Learning Health System. J Appl Clin Med Phys. 24(10):e14127 doi: 10.1002/acm2.14127 IF: 2.1 

Gomes MMA, Anjos WF, Jaiswal AK, Tiwari S, Ghosh P, Barh D, Azevedo V, Santos A, 2023. Implementation of a Noise Filter for Grouping in Bibliographic Databases using Latent Semantic Indexing. International Journal of Bioinformatics and Intelligent Computing. 2(1):12-28, https://doi.org/10.61797/ijbic.v2i1.208 

Bose P, Rana P, Sleeman WC IV, Srinivasan S, Kapoor R, Palta J, Ghosh P, 2023. Multimodal Deep Learning Methods on Image and Textual Data to Predict Radiotherapy Structure Names. BioMedInformatics. 3(3):493-513. https://doi.org/10.3390/biomedinformatics3030034  

Zhang J, Basu S, Kurgan L, 2023. HybridDBRpred: Improved Sequence-based Prediction of DNA-binding Amino Acids Using Annotations from Structured Complexes and Disordered Proteins. Nucleic Acids Research, gkad1131 IF: 14.9 (Q1 rank)

Kurgan L, Hu G, Wang K, Ghadermarzi S, Zhao B, Malhis N, Erdős G, Gsponer J, Uversky VN, Dosztányi Z, 2023. Tutorial: A Guide for the Selection of Fast and Accurate Computational Tools for the Prediction of Intrinsic Disorder in Proteins. Nature Protocols, 18:3157-3172 https://www.nature.com/articles/s41596-023-00876-x IF: 14.8 (Q1 rank)

Basu S, Zhao B, Biro B, Faraggi E, Gsponer J, Hu G, Kloczkowski A, Malhis N, Mirdita M, Söding J, Steinegger M, Wang D, Wang K, Xu X, Zhang J, Kurgan L, 2023. DescribePROT in 2023: More, Higher-Quality and Experimental Annotations and Improved Data Download Options. Nucleic Acids Research, gkad985 IF: 14.9 (Q1 rank)

Li F, Wang C, Guo X, Akutsu T, Webb GI, Coin LJM, Kurgan L, Song J, ProsperousPlus: A One-Stop and Comprehensive Platform for Accurate Protease-Specific Substrate Cleavage Prediction and Machine-Learning Model Construction, Briefings in Bioinformatics, 24(6):bbad372 IF: 9.5 (Q1 rank)

Basu S, Hegedus T, Kurgan L, 2023. CoMemMoRFPred: Sequence-Based Prediction of MemMoRFs by Combining Predictors of Intrinsic Disorder, MoRFs and Disordered Lipid-Binding Regions. Journal of Molecular Biology, 435(21):168272 https://www.sciencedirect.com/science/article/pii/S0022283623003832 IF: 5.6 (Q1 rank) 

Zhao B, Ghadermarzi S, Kurgan L, 2023. Comparative Evaluation of AlphaFold2 and Disorder Predictors for Prediction of Intrinsic Disorder, Disorder Content and Fully Disordered Proteins. Computational and Structural Biotechnology Journal, 21:3248-3258 https://www.sciencedirect.com/science/article/pii/S2001037023002143 IF: 6.0 (Q1 rank)

Del Conte A, Bouhraoua A, Mehdiabadi M, Clementel D, Monzon AM, CAID predictors (including Kurgan L), Tosatto S, Piovesan D, 2023. CAID Prediction Portal: a Comprehensive Service for Predicting Intrinsic Disorder and Binding Regions in Proteins. Nucleic Acids Research, 51(W1):W62-W69 IF: 14.9 (Q1 rank)

Basu S, Gsponer J, Kurgan L, 2023. DEPICTER2: A Comprehensive Webserver for Intrinsic Disorder and Disorder Function Prediction. Nucleic Acids Research, 51(W1):W141-W147 IF: 14.9 (Q1 rank)

Wang M, Kurgan L, Li M, 2023. A Comprehensive Assessment and Comparison of Tools for HLA Class I Peptide-binding Prediction. Briefings in Bioinformatics, 24(3):bbad150 IF: 9.5 (Q1 rank)

Basu S, Kihara D, Kurgan L, 2023. Computational Prediction of Disordered Binding Regions. Computational and Structural Biotechnology Journal, 21:1487-1497 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957716/ IF: 6.0 (Q1 rank)

Zhang F, Li M, Zhang J, Shi W, Kurgan L, 2023. DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-annotated Protein Binding Residues. Journal of Molecular Biology, 435(14):167945 https://www.sciencedirect.com/science/article/pii/S0022283623000013 IF: 5.6 (Q1 rank)

Yang G, Luo C, 2023. Performance Improvement in UAV Communication Systems with Uncertain Solar Energy Supply. IEEE Internet of Things Journal (IoT), 10 (22): 19607-19616 IF: 10.6 (Q1 rank)

Seng S, Luo C, Li X, Ji H, 2023. Stable Communications in Green Unmanned Aerial Relaying Systems. IEEE Internet of Things Journal (IoT), 10 (19): 16675-16685 IF: 10.6 (Q1 rank)

Misba WA, Mavikumbure HS, Rajib Md. M, Marino DL, Cobilean V, Manic M, and Atulasimha J, 2023. Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting in IEEE Access. doi: 10.1109/ACCESS.2023.3326414 IF 3.56 (Q2 rank)

Wickramasinghe CS, Marino DL, Mavikumbure HS, Cobilean V, Pennington TD, Varghese BJ, Rieger C, Manic M, 2023. RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3294349 IF 9.55 (Q1 rank)

Cobilean V, Mavikumbure HS, McBride BJ, Vaagensmith B, Singh VK, Li R, Rieger C, Manic M, 2023. A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. IEEE Access, doi: 10.1109/ACCESS.2023.3286304 IF: 3.56 (Q1 rank)

Siff L, Tsouvalas V, Bost LF, Manic M, 2023. Surgical teaching of the retropubic midurethral sling: a virtual reality training system. International Urogynecology Journal. 34(5):1127-1129, doi:10.1007/s00192-023-05448-x IF: 1.93

Cuffy C, McInnes BT, 2023. Exploring a deep learning neural architecture for closed Literature-based discovery. Journal of Biomedical Informatics. 143:104362, https://doi.org/10.1016/j.jbi.2023.104362 IF: 4.5 (Q2 rank)

Nguyen AT, Childs HM, Salter WM, Filippas AV, McInnes BT, Senecal K, Lawton TJ, D’Angelo PA, Zukas W, Alexander TE, Ayotte V, 2023. Prediction of the Structural Color of Liquid Crystals via Machine Learning. Liquids. 3(4):440-55 https://www.mdpi.com/2673-8015/3/4/28 

Ayyat M, Nadeem T, and Krawczyk B. ClassyNet: Class-Aware Early Exit Neural Networks for Edge Devices. IEEE Internet of Things Journal (IoT). IF: 10.6 (Q1 rank)

Frattini J, Fucci D, Mendez D, Spínola R, Mandić V,  Taušan N, Ahmad M, Gonzalez-Huerta J, 2023. An initial theory to understand and manage requirements engineering debt in practice. Information and Software Technology. 159:107201, https://www.sciencedirect.com/science/article/pii/S0950584923000551 IF: 3.9 (Q2 rank)

Freire S, Rios N, Pérez B, Castellanos C, Correal D, Ramač R, Mandić V, Taušan N, López G, Pacheco A, Mendonça M, Falessi D, Izurieta C, Seaman C, Spínola R, 2023. Software practitioners’ point of view on technical debt payment. Journal of Systems and Software, 196:111554, https://www.sciencedirect.com/science/article/pii/S0164121222002308 IF: 3.5 (Q2 rank)

Gomes F, Santos E, Freire S, Mendes T, Mendonca M, and Spinola R, 2023. Investigating the Point of View of Project Management Practitioners on Technical Debt - A Study on Stack Exchange. Journal of Software Engineering Research and Development. https://sol.sbc.org.br/journals/index.php/jserd/article/view/3191/2334 

Berenguer C, Borges A, Freire S, Rios N, Ramac R,  Mandica V, Tausan N, Rios N, Perez B, Castellanos C, Correal D, Pacheco A, Lopez G, Mendonca M, Falessi D, Seaman C, Izurieta C, and Spinola R, 2023. Investigating the Relationship between Technical Debt Management and Software Development Issues. Journal of Software Engineering Research and Development. https://sol.sbc.org.br/journals/index.php/jserd/article/view/2581

Qasim S, Raza M, Ahmed I, 2023. vPLC: A scalable PLC testbed for IIoT security research. 9th Annual Industrial Control System Security Workshop (ICSS'23), in conjunction with 39th Annual Computer Security Applications Conference (ACSAC'23), December 2023, Austin, TX https://www.acsac.org/2023/workshops/icss/ 

Vijayakanthan R, Waguespack K, Ahmed I, Ali-Gombe A, 2023. Fortifying IoT Devices: AI-Driven Intrusion Detection via Memory-Encoded Audio Signals. IEEE Secure Development Conference (SecDev), October 2023, Atlanta, GA

Qasim S, Jo W, Ahmed I, 2023. PREE: Heuristic Builder for Reverse Engineering of Network Protocols in Industrial Control Systems. 23rd Annual Digital Forensics Research Conference (DFRWS US'23), July 2023, Baltimore, MD https://doi.org/10.1016/j.fsidi.2023.301565 

Ahsan M, Rais M, Ahmed I, 2023. SOK: Side Channel Monitoring for Additive Manufacturing - Bridging Cybersecurity and Quality Assurance Communities. 8th IEEE European Symposium on Security and Privacy (EuroS&P'23), July 2023, Delft, Netherlands

Ayub A, Zubair N, Yoo H, Jo W, Ahmed I, 2023. Gadgets of Gadgets in Industrial Control Systems: Return Oriented Programming Attacks on PLCs. 16th IEEE International Symposium on Hardware Oriented Security and Trust (HOST), May 2023, San Jose, CA

Awad R, Rais M, Rogers M, Ahmed I, Paquit V, 2023. Towards Generic Memory Forensic Framework for Programmable Logic Controllers. 10th Annual Digital Forensics Research Conference Europe (DFRWS EU'23), March 2023, Bonn, Germany https://doi.org/10.1016/j.fsidi.2022.301339 

Rais M, Ahsan M, Ahmed I. 2023. FRoMEPP: Digital Forensic Readiness Framework for Material Extrusion based 3D Printing Process. 10th Annual Digital Forensics Research Conference Europe (DFRWS EU'23), March 2023, Bonn, Germany https://doi.org/10.1016/j.fsidi.2023.301510 

McDonough M, Moomaw T, Touhiduzzaman M, Bulut E, 2023. Wi-Alert: WiFi Sensing for Real-time Package Theft Alerts at Residential Doorsteps. 24th ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc '23) - The 8th National Workshop for REU Research in Networking and Systems (REUNS), October 23-26, Washington, DC, USA. pp. 424-429, https://dl.acm.org/doi/10.1145/3565287.3617615  

Farley J, Chapnevis A, Bulut E, 2023. Generalized Path Planning for Collaborative UAVs using Reinforcement and Imitation Learning. 24th ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc '23) - The 8th National Workshop for REU Research in Networking and Systems (REUNS), October 23-26, Washington, DC, USA. pp. 457-462, https://dl.acm.org/doi/10.1145/3565287.3617622 

Vilela BD, Kokkera K, Chapnevis A, Bulut E, 2023. UAV Control Using Eye Gestures: Exploring the Skies Through Your Eyes. 24th ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc '23) - The 8th National Workshop for REU Research in Networking and Systems (REUNS), October 23-26, Washington, DC, USA. pp. 447-452, https://dl.acm.org/doi/10.1145/3565287.3617619  

Chapnevis A, Bulut E, 2023. AoI-Optimal Cellular-Connected UAV Trajectory Planning for IoT Data Collection. IEEE 48th Conference on Local Computer Networks (LCN), pp. 1-6 

Bakr A, Srewa M, Bulut E, Akkaya K, Rahman M, Alsharif A, 2023. Privacy-Preserving V2V Charge Sharing Coordination using the Hungarian Algorithm. 97th IEEE Vehicular Technology Conference (VTC2023-Spring), pp. 1-6, (CORE B rank)

Chapnevis A, Bulut E, 2023. Delay Optimal UAV Trajectory Planning for Secure Data Collection from Mobile IoT Networks. IEEE International Conference on Industrial Technology (ICIT), pp. 1-4 

Hernandez SM, Bulut E, 2023. Scheduled Spatial Sensing against Adversarial WiFi Sensing, IEEE International Conference on Pervasive Computing and Communications (PERCOM), Atlanta, Georgia, USA, (CORE A* rank)

Roseberry M, Dzeroski S, Bifet A, Cano A, 2023. Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. 38th ACM/SIGAPP Symposium on Applied Computing, pp. 390-397, https://dl.acm.org/doi/abs/10.1145/3555776.3577625 (CORE B rank)

Aguiar G, Cano A, 2023. An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams. 38th ACM/SIGAPP Symposium On Applied Computing, pp. 382-389, https://dl.acm.org/doi/abs/10.1145/3555776.3577624 (CORE B rank)

Aguiar G, Cano A, 2023. Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning. 8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data, IEEE International Conference on Big Data.

Sajadi A, Damevski K, Chatterjee P, 2023. Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests. IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), pp. 19–24  

Sajadi A, Damevski K, Chatterjee P, 2023. Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study. 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE), pp. 2097-2101 https://doi.org/10.1145/3611643.3613084  

Le TV, Nguyen MV, Nguyen TN, Dinh TN, Djordjevic I, Zhang Z-L, 2023. Benchmarking Chain Strength: An Optimal Approach for Quantum Annealing. IEEE International Conference on Quantum Computing and Engineering (QCE), 1:397-406

Khandavilli S, Palanisamy I, Nguyen MV, Le TV, Nguyen TN, Dinh TN, 2023. Towards Fidelity-Optimal Qubit Mapping on NISQ Computers. IEEE International Conference on Quantum Computing and Engineering (QCE), 1:89-98

Nguyen TN, Nguyen DHP, Nguyen MV, Le TV, Liu B-H, Dinh TN, 2023. Maximizing Key Distribution Capability: An Application in Quantum Cryptography. IEEE International Conference on Quantum Computing and Engineering (QCE), 1:1187-1197

Le TV, Nguyen MV, Khandavilli S, Dinh TN, Nguyen TN, 2023. Quantum Annealing Approach for Selective Traveling Salesman Problem. ICC 2023 - IEEE International Conference on Communications. pp. 2686-2691

Tang H, Zhao Y, Wang G, Luo C, Wang W, 2023. Wireless Signal Denoising Using Conditional Generative Adversarial Networks. Workshops at IEEE Conference on Computer Communications (INFOCOm’23), pp. 1-6

Rathnayaka P, Gamage G, De Silva D, Alahakoon D, Manic M, 2023. EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, pp. 1-4, doi: 10.1109/IECON51785.2023.10312470 (CORE C rank)

Cobilean V, Mavikumbure HS, Wickramasinghe CS, Varghese BJ, Pennington T, Manic M, 2023. Anomaly Detection for In-Vehicle Communication Using Transformers. IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, pp. 1-6, doi: 10.1109/IECON51785.2023.10311788 (CORE C rank)

Mavikumbure HS, Cobilean V, Wickramasinghe CS, Varghese BJ, Pennington T, Manic M, 2023. DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1-7, doi: 10.1109/IECON51785.2023.10312001 (CORE C rank)

Gunasekara L, Moraliyage H, De Silva D, Mills N, Alahakoon D, Jennings A, Manic M, 2023. A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), pp. 1-6, doi: 10.1109/ISIE51358.2023.10227961 (CORE C rank)

Gamage G, Kahawala S, Mills N, De Silva D, Manic M, Alahakoon D, Jennings A, 2023. Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, pp. 1-6, doi: 10.1109/ISIE51358.2023.10228101 (CORE C rank)

Moraliyage H, Haputhanthri D, Samarajeewa C, Mills N, De Silva D, Manic M, Jennings A, 2023. Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, pp. 1-7, doi: 10.1109/ISIE51358.2023.10227985 (CORE C rank)

Gunasekara L, Moraliyage H, De Silva D, Mills N, Alahakoon D, Jennings A, Manic M, 2023. A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), Helsinki, Finland, pp. 1-6, doi: 10.1109/ISIE51358.2023.10227961 (CORE C rank)

Mavikumbure HS, Cobilean V, Wickramasinghe CS, Phillips T, Varghese BJ, Carlson B, Rieger C, Pennington T, Manic M, 2023. Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE, 32nd International Symposium on Industrial Electronics (ISIE), Helsinki-Espoo, Finland, doi: 10.1109/ISIE51358.2023.10228104 (CORE C rank)

Silva D, Mills N, El-Ayoubi M, Manic M, Alahakoon D, 2023. ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots. 2023 IEEE International Conference on Industrial Technology (ICIT), Orlando, FL, USA, pp. 1-6, doi: 10.1109/ICIT58465.2023.10143123 (CORE C rank)

Cobilean V, Mavikumbure HS, Wickramasinghe CS, Marino DL, Manic M, 2023. Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. 2023 IEEE International Conference on Industrial Technology (ICIT), Orlando, FL, USA, pp. 1-7, doi: 10.1109/ICIT58465.2023.10143126 (CORE C rank)

Osman M, Nadeem T, Khoriba G, 2023. Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech. 37th Conference on Neural Information Processing Systems (NeurIPS 2023) - Workshop on Machine Learning for Audio, Dec. 10-16, 2023, New Orleans, USA. 

Osman M, Nadeem T, Hemida A, and Kamhoua C, 2023. Optimizing Honeypot Placement Strategies with Graph Neural Networks for Enhanced Resilience via Cyber Deception. Proceedings of the 2nd Graph Neural Networking Workshop 2023 (GNNet ’23) in conjunction with ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT), Dec. 4-8, 2023, Paris, France. https://doi.org/10.1145/3630049.3630169 

Ayyat M, Nadeem T, Krawczyk B, 2023. Class-Aware Neural Networks for Efficient Intrusion Detection on Edge Devices, 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, pp. 204-212, doi: 10.1109/SECON58729.2023.102874 (CORE B rank)

Freire S, Rocha V, Mendonca M, Izurieta C, Seaman C, Spinola R, 2023. Assessing IDEA Diagrams for Supporting Analysis of Capabilities and Issues in Technical Debt Management. In Product-Focused Software Process Improvement: 24th International Conference, PROFES 2023, Dornbirn, Austria, December 10-13, Proceedings, Part I. Springer-Verlag, Berlin, Heidelberg, pp. 243-258. https://doi.org/10.1007/978-3-031-49266-2_17 (CORE B rank)

Santos L, Freire S, Santos A, Mendonca M, and Spinola R, 2023. A Thematic Synthesis on Empathy in Software Engineering. In Proceedings of the XXXVII Brazilian Symposium on Software Engineering (SBES '23). Association for Computing Machinery, New York, NY, USA, pp. 332-341, https://doi.org/10.1145/3613372.3613407 (Distinguished paper award)

Freire S, Gomes F, Barbosa L, Mendes T, Reges G, Maciel R, Mendonca M, and Spinola R, 2023. Requirements Engineering Issues Experienced by Software Practitioners: A Study on Stack Exchange. In the 29th International Working Conference on Requirement Engineering: Foundation for Software Quality. Barcelona, Spain. https://www.springerprofessional.de/en/requirements-engineering-issues-experienced-by-software-practiti/25204328  (CORE B rank)

Zhou Z, Zhang B, Zhou HS, Ren K, 2023. Endemic Oblivious Transfer via Random Oracles, Revisited. Advances in Cryptology – EUROCRYPT 2023, pp. 303-329. https://link.springer.com/chapter/10.1007/978-3-031-30545-0_1  (CORE A* rank)

Yucel F, Yuksel M, Bulut E, 2023. Stable Worker–Task Assignment in Mobile Crowdsensing Applications, In: Mobile Crowdsourcing: From Theory to Practice, pp. 143-162, Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-031-32397-3_6  

Uversky VN, Kurgan L 2023. Overview Update: Computational Prediction of Intrinsic Disorder in Proteins, In: Boyle A, (Eds.), Current Protocols, 3:e802 Wiley (ISSN:2691-1299) https://currentprotocols.onlinelibrary.wiley.com/doi/abs/10.1002/cpz1.802 

Bi Z, Kurgan L 2023. Databases of Protein Structure and Function Predictions at the Amino Acid Level, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 329-354, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0013 

Bi Z, Kurgan L 2023. Machine Learning for Intrinsic Disorder Prediction, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 205-236, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0008 

Chen Z, Li F, Wang X, Wang Y, Kurgan L, Song J 2023. Designing Effective Predictors of Protein Post-translational Modifications using iLearnPlus, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 309-328, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0012 

Li M, Zhang F, Kurgan L 2023. Machine Learning Methods for Predicting Protein-nucleic acids Interactions, In: Kurgan L, (Ed.) Machine Learning in Bioinformatics of Protein Sequences, pp. 265-288, World Scientific (ISBN 978-981-125-857-2) https://www.worldscientific.com/doi/abs/10.1142/9789811258589_0010

Bokhari Y, Alhareeri A, Aljouie A, Alkhaldi A, Rashid M, Alawad M, Alhassnan R, Samargandy S, Panahi A, Heidrich W, Arodz T, 2022. ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis. Cells, 11(14):2244, https://doi.org/10.3390/cells11142244 IF: 7.666 (Q2 rank)

Saeedi S, Serrano M, Yang D, Brooks JP, Buck G, Arodz T, 2022. Group Testing Matrix Design for PCR Screening with Real-Valued Measurements. Journal of Computational Biology 29(12):1397-1411, https://doi.org/10.1089/cmb.2022.0413 IF: 1.549 (Q3 rank)

Hernandez S M, Bulut E, 2022. WiFi Sensing on the Edge: Signal Processing Techniques and Challenges for Real-World Systems, IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2022.3209144 https://ieeexplore.ieee.org/document/9900419  IF: 33.84 (Q1 rank)

Chapnevis A, Guvenc I, Bulut E, 2022. IMSI Sharing based Dynamic and Flexible Traffic Aggregation for Massive IoT Networks, IEEE Internet of Things Journal,  doi: 10.1109/JIOT.2022.3155923 https://ieeexplore.ieee.org/document/9724246 IF: 10.238 (Q1 rank)

Cano A, Krawczyk B, 2022. ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams. Machine Learning, 111:2561-2599, https://link.springer.com/article/10.1007/s10994-022-06168-x IF: 5.41 (Q2 rank)

Alberghini G, Barbon S, Cano A, 2022. Adaptive Ensemble of Self-Adjusting Nearest Neighbor Subspaces for Multi-Label Drifting Data Streams. Neurocomputing, 481:228-248, https://www.sciencedirect.com/science/article/abs/pii/S0925231222000984 IF: 5.78 (Q2 rank)

Solomon E, Woubie A and Cios KJ, 2022. UFace: An Unsupervised Deep Learning Face Verification System. Electronics, 11(23):3909; https://doi.org/10.3390/electronics11233909 IF: 2.69

Cranston DW, Nie J, Verstraete J, and Wesolek A, 2022. On Asymptotic Packing of Geometric Graphs. Discrete Applied Math. 322:142-152.  https://www.sciencedirect.com/science/article/pii/S0166218X2200292X IF: 1.254

Cranston DW, 2022. Kempe Equivalent List Edge-Colorings of Planar Graphs. Discrete Math (Special Issue in Honour of Landon Rabern). https://www.sciencedirect.com/science/article/pii/S0012365X22003867 IF: 0.961

Cranston DW, Lidicky B, Liu X, and Shantanam A, 2022. Planar Turan Numbers of Cycles: A Counterexample. Electronic Journal of Combinatorics. 29(3):P3.31,  https://www.combinatorics.org/ojs/index.php/eljc/article/view/v29i3p31 IF: 0.695

Cranston DW, 2022. Strong Edge-Coloring of Cubic Bipartite Graphs: A Counterexample. Discrete Applied Math. 321:258–260, https://www.sciencedirect.com/science/article/pii/S0166218X22002426 IF: 1.254

Cranston DW, 2022. List-Recoloring of Sparse Graphs. European Journal of Combinatorics. 105:103562,  https://www.sciencedirect.com/science/article/pii/S0195669822000592 IF: 0.89

Cranston DW, Mahmoud R, 2022. In Most 6-regular Toroidal Graphs All 5-colorings are Kempe Equivalent. European Journal of Combinatorics. 104:103532, https://www.sciencedirect.com/science/article/pii/S0195669822000282 IF: 0.89

Zhao Y, Damevski K, Chen H, 2022. A Systematic Survey of Just-In-Time Software Defect Prediction. ACM Computing Surveys, https://dl.acm.org/doi/10.1145/3567550 IF: 14.324 (Q1 rank)

Imran MM, Damevski K, 2022. Using Clarification Questions to Improve Software Developers’ Web Search. Information and Software Technology, 151:107021. https://doi.org/10.1016/j.infsof.2022.107021 IF: 3.862 (Q1 rank)

Sheth V, Damevski K, 2022. Grouping Related Stack Overflow Comments for Software Developer Recommendation. Automated Software Engineering, 29(2):40, https://doi.org/10.1007/s10515-022-00339-9 IF: 1.677

Pateras J, Vaidya A, Ghosh P, 2022. Network Thermodynamics-Based Scalable Compartmental Model for Multi-Strain Epidemics. Mathematics, 10(19):3513, https://doi.org/10.3390/math10193513. IF: 2.592 (Q1 rank)

Pateras J, Ghosh P, 2022. A Computational Framework for Exploring SARS-CoV-2 Pharmacodynamic Dose and Timing Regimes. Mathematics, 10(20):3739, https://doi.org/10.3390/math10203739. IF: 2.592 (Q1 rank)

Saha J, Bose P, Dhakal S, Ghosh P, Rangachari V, 2022. Ganglioside enriched phospholipid vesicles induce cooperative Aβ oligomerization and membrane disruption. Biochemistry, 61(20):2206–2220, https://doi.org/10.1021/acs.biochem.2c00495 IF: 3.321 (Q3 rank).

Pilkiewicz KR, Rana P, Mayo ML, Ghosh P, 2022. Predicting Supramolecular Structure from the Statistics of Individual Molecular Events. Mobile Netw Appl, https://doi.org/10.1007/s11036-022-02057-8 IF: 3.077 (Q2 rank)

Al Musawi AF, Roy S, Ghosh P, 2022. Identifying accurate link predictors based on assortativity of complex networks. Sci Rep 12:18107, https://doi.org/10.1038/s41598-022-22843-4 IF: 4.997 (Q2 rank)

Roy S, Bose P, Ghosh, P, 2022. Curbing Pandemic Through Evolutionary Algorithm-Based Priority Aware Mobility Scheduling. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2022.3230013. IF: 9.551 (Q1 rank)

Roy U, Roy S, Khan R, Ghosh P, Ghosh N, 2022. MCR: A Motif Centrality-Based Distributed Message Routing for Disaster Area Networks. IEEE Internet of Things Journal, 9(24):25337-25349,  https://doi.org/10.1109/JIOT.2022.3196150. IF: 10.238 (Q1 rank)

Sleeman WC, Kapoor R, Ghosh P, 2022. Multimodal Classification: Current Landscape, Taxonomy and Future Directions. ACM Computing Surveys, 55(7):150, https://doi.org/10.1145/3543848 IF: 14.324 (Q1 rank)

Ribeiro SP, Barh D, Andrade BS, José Santana Silva R, Costa-Rezende DH, Fonseca PLC, Tiwari S, Giovanetti M, Alcantara LCJ, Azevedo VA, Ghosh P, Diniz-Filho JAF, Loyola R, de Almeida MFB, Góes-Neto A, 2022. Long-term unsustainable patterns of development rather than recent deforestation caused the emergence of Orthocoronavirinae species. Environ Microbiol. 24(10):4714-4724, https://doi.org/10.1111/1462-2920.16121. IF: 5.476 (Q2 rank)

Korycki L, Krawczyk B, 2022. Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. Pattern Recognition, 129:108749 https://www.sciencedirect.com/science/article/pii/S0031320322002308 IF: 8.518 (Q1 rank)

Korycki L, Krawczyk B, 2022. Adversarial concept drift detection under poisoning attacks for robust data stream mining. Machine Learning, https://link.springer.com/article/10.1007/s10994-022-06177-w IF: 5.41 (Q2 rank)

Cano A, Krawczyk B, 2022. ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning on Imbalanced Drifting Data Streams. Machine Learning, 111:2561-2599, https://link.springer.com/article/10.1007/s10994-022-06168-x IF: 5.41 (Q2 rank)

Ghosh K, Bellinger C, Corizzo R, Branco P, Krawczyk B, Japkowicz N, 2022. The class imbalance problem in deep learning. Machine Learning https://link.springer.com/article/10.1007/s10994-022-06268-8 IF: 5.41 (Q2 rank)

Zhang F, Li M, Zhang J, Shi W, Kurgan L, 2022. DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-annotated Protein Binding Residues. Journal of Molecular Biology, https://www.sciencedirect.com/science/article/abs/pii/S0022283623000013 IF: 6.15 (Q1 rank)

Wu Z, Basu S, Wu X, Kurgan L, 2022. qNABpredict: Quick, Accurate and Taxonomy‐aware Sequence‐based Prediction of Content of Nucleic Acid Binding Amino Acids. Protein Science, 32(1):e4544 https://pubmed.ncbi.nlm.nih.gov/36519304/ IF: 6.99 (Q1 rank)

Zhang F, Li M, Zhang J, Kurgan L, 2022. HybridRNAbind: Prediction of RNA Interacting Residues Across Structure-annotated and Disorder-annotated Proteins. Nucleic Acids Research, https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac1253/6984587  IF: 19.16 (Q1 rank)

Peng Z, Li Z, Meng Q, Zhao B, Kurgan L, 2022. CLIP: Accurate Prediction of Disordered Linear Interacting Peptides from Protein Sequences Using Co-Evolutionary Information. Briefings in Bioinformatics, https://pubmed.ncbi.nlm.nih.gov/36458437/ IF: 13.99 (Q1 rank)

Akbayrak IY, Caglayan SI, Kurgan L, Uversky VN, Coskuner-Weber O, 2022. Insights into the Structural Properties of SARS-Cov-2 Main Protease. Current Research in Structural Biology, 4:349-355 https://pubmed.ncbi.nlm.nih.gov/36466947/

Zhao B, Kurgan L, 2022. Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions. Biomolecules, 12(7):88 https://pubmed.ncbi.nlm.nih.gov/35883444/ IF: 6.06 (Q2 rank)

Biro B, Zhao B, Kurgan L, 2022. Complementarity of the Residue-level Protein Function and Structure Predictions in Human Proteins. Computational and Structural Biotechnology Journal, 20:2223-2234 https://pubmed.ncbi.nlm.nih.gov/35615015/ IF: 6.15 (Q1 rank)

Chen Z, Liu X, Zhao P, Li C, Wang Y, Li F, Akutsu T, Bain C, Gasser R, Li J, Yang Z, Gao X, Kurgan L, Song J, 2022. iFeatureOmega – an Integrative Platform for Engineering, Visualization and Analysis of Features from Molecular Sequences, Structural and Ligand Data Sets. Nucleic Acids Research, 50:W434–W447 https://pubmed.ncbi.nlm.nih.gov/35524557/ IF: 19.16 (Q1 rank)

Kurgan L, 2022. Resources for Computational Prediction of Intrinsic Disorder in Proteins. Methods, 204:132-141 https://pubmed.ncbi.nlm.nih.gov/35367597/ IF: 4.65 (Q2 rank)

Zhao B, Kurgan L, 2022. Deep Learning in Prediction of Intrinsic Disorder in Proteins. Computational and Structural Biotechnology Journal, 20:1286-1294 https://pubmed.ncbi.nlm.nih.gov/35356546/ IF: 6.15 (Q1 rank)

Zhao B, Kurgan L, 2022. Surveying over 100 Predictors of Intrinsic Disorder in Proteins. Expert Review of Proteomics, 18(12): 1019-1029 https://pubmed.ncbi.nlm.nih.gov/34894985/ IF: 4.25 (Q2 rank)

Ji T, Luo C, Yu L, Wang Q, Chen S, Thapa A, Li P, 2022. Energy-Efficient Computation Offloading in Mobile Edge Computing Systems with Uncertainties. IEEE Transactions on Wireless Communications, 21(8):5717-5729, https://ieeexplore.ieee.org/document/9687316 IF: 8.346 (Q1 rank)

Zhao H, Sun X, Dong J, Manic M, Zhou H, Yu H, 2022. Dual discriminator adversarial distillation for data-free model compression. Int. J. Mach. Learn. & Cyber. 13:1213–1230, https://doi.org/10.1007/s13042-021-01443-0 IF 4.377 (Q2 rank)

French E, McInnes BT, 2022. An overview of biomedical entity linking throughout the years. Journal of Biomedical Informatics, 37:104252, https://doi.org/10.1016/j.jbi.2022.104252 IF: 8.00 (Q1 rank)

Ferrell BJ, Raskin SE, Zimmerman EB, Timberline DH, McInnes BT, Krists AH, 2022. Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study. JMIR Formative Research, 6(9):e32460, https://pubmed.ncbi.nlm.nih.gov/36066925/

Tang C, McInnes, BT, 2022. Cascade Processes with Micellar Reaction Media: Recent Advances and Future Directions. Molecules 27(17):5611, https://www.mdpi.com/1420-3049/27/17/5611 IF: 4.927 (Q2 rank)

Olex AL, French E, Burdette P, Sagiraju S, Neumann T, Gal TS, McInnes BT, 2022. TopEx: topic exploration of COVID-19 corpora-Results from the BioCreative VII Challenge Track 4. Database, 2022:baac063 https://doi.org/10.1093/database/baac063 IF: 4.46 (Q1 rank)

McInnes BT, Downie JS, Hao Y, Jett J, Keating K, Nakum G, Ranjan S, Rodriguez NE, Tang J, Xiang D, Young EM, Nguyen MH, 2022. Discovering Content through Text Mining for a Synthetic Biology Knowledge System. ACS Synthetic Biology, 11(6):2043-2054, https://doi.org/10.1021/acssynbio.1c00611 IF: 5.249 (Q1 rank)

Rodriguez NE, Nguyen M, McInnes BT, 2022. Effects of data and entity ablation on multitask learning models for biomedical entity recognition. Journal of Biomedical Informatics, 130:104062, https://doi.org/10.1016/j.jbi.2022.104062. IF: 8.00 (Q1 rank)

Olex AL, McInnes BT, 2022. Temporal disambiguation of relative temporal expressions in clinical texts. Frontiers in Research Metrics and Analytics, 7:1001266, https://www.frontiersin.org/articles/10.3389/frma.2022.1001266/full

Nukavarapu S, Nadeem T, 2022. iKnight - Guarding IoT Infrastructure using Generative Adversarial Networks. IEEE Access. 10:132656-132674, https://ieeexplore.ieee.org/document/9963550 IF: 3.476 (Q2 rank)

Nadeem T, Uddin M, 2022. Acoustic-WiFi: Acoustic Support for Wi-Fi Networks in Smart Devices, IEEE Transactions on Communications. 70(6):3977-3994, https://ieeexplore.ieee.org/document/9766124 IF: 6.166 (Q1 rank)

Fronchetti F, Ritschel N, Holmes R, Li L, Soto M, Jetley R, Wiese I, Shepherd D, 2022. Language impact on productivity for industrial end users: A case study from Programmable Logic Controllers. Journal of Computer Languages, 69:101087, https://www.sciencedirect.com/science/article/pii/S2590118421000630 IF: 1.778

Ritschel N, Sawant AA, Weintrop D, Holmes R, Bacchelli A, Garcia R, Chandrika KR, Mandal A, Francis P, Shepherd DC, 2022. Training industrial end-user programmers with interactive tutorials. Software: Practice and Experience. https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.3167 IF: 3.20

Pacheco A, Marin-Raventos G, Spinola R, Lopez G, Seaman C, 2022. Making Technical Debt Visible Using Hybrid Sankey Diagrams: An Industrial Case Study. International Journal of Software Engineering and Knowledge Engineering, 32(9):1-34, https://doi.org/10.1142/S0218194022500632 IF: 1.0

Ramac R, Mandic V, Tausan N, Rios N, Freire S, Perez B, Castellanos C, Correal D, Pacheco A, Lopez G, Izurieta C, Seaman C, Spinola R, 2022. Prevalence, Common Causes and Effects of Technical Debt: Results from a Family of Surveys with the IT Industry. Journal of Systems and Software, 184:111114, https://doi.org/10.1016/j.jss.2021.111114 IF:3.514

Zhou Z, Zhang B, Chen Y, Li J, Zhou Y, Lu Y, Ren K, Thai P, Zhou HS, 2022. Scriptable and composable SNARKs in the trusted hardware model. J. Comput. Secur. 30(6):757-793, https://content.iospress.com/articles/journal-of-computer-security/jcs210167

Zubair N, Ayub A, Yoo H, Ahmed I, 2022. Control Logic Obfuscation Attack in Industrial Control Systems. IEEE International Conference on Cyber Security and Resilience (IEEE CSR). https://doi.org/10.1109/CSR54599.2022.9850326

Davis M, McInnes B, Ahmed I, 2022. Forensic Investigation of Instant Messaging Services on Linux OS: Discord and Slack as Case Studies. 22nd Annual Digital Forensics Research Conference (DFRWS US). https://doi.org/10.1016/j.fsidi.2022.301401

Rais M, Ahsan M, Sharma V, Barua R, Prins R, Ahmed I, 2022. Low-magnitude Infill Structure Manipulation Attacks on FFF-based 3D Printers, 16th IFIP International Conference on Critical Infrastructure Protection (ICCIP). https://doi.org/10.1007/978-3-031-20137-0_8

Zubair N, Ayub A, Yoo H, Ahmed I, 2022. PEM: Remote Forensic Acquisition of PLC Memory in Industrial Control Systems. 9th Annual Digital Forensics Research Conference Europe (DFRWS EU). https://doi.org/10.1016/j.fsidi.2022.301336

Rais M. Awad R. Lopez Jr. J, Ahmed I, 2022. Memory Forensic Analysis of a Programmable Logic Controller in Industrial Control Systems. 9th Annual Digital Forensics Research Conference Europe (DFRWS EU). https://doi.org/10.1016/j.fsidi.2022.301339

Vijayakanthan R, Ahmed I, Ali-Gombe A, 2022. Transforming Memory Image to Sound Wave Signals for an Effective IoT Fingerprinting. 12th ACM Conference on Data and Application Security and Privacy (CODASPY). https://doi.org/10.1145/3508398.3519366

Saeedi S, Serrano M, Yang D, Brooks JP, Buck G, Arodz T, 2022. Real-valued Group Testing for Quantitative Molecular Assays. Conference on Research in Computational Molecular Biology RECOMB'22. https://link.springer.com/chapter/10.1007/978-3-031-04749-7_8 (CORE B rank)

Hernandez SM, Bulut E, 2023. Scheduled Spatial Sensing against Adversarial WiFi Sensing, IEEE International Conference on Pervasive Computing and Communications (PERCOM), Atlanta, Georgia, USA, https://www.percom.org/list-of-accepted-paper (CORE A* rank)

Hernandez SM, Touhiduzzaman M, Pidcoe PE, Bulut E, 2022. Wi-PT: Wireless Sensing based Low-cost Physical Rehabilitation Tracking, IEEE International Conference on E-health Networking, Application & Services (Healthcom), 17-19 October, Genoa, Italy (pp. 113-118) https://ieeexplore.ieee.org/document/9982743

Chapnevis A, Bulut E, 2022. Share-Not-To-Waste: Scalable IoT Networking through Subscriber Identity Sharing, 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), October 20-22, Denver, Colorado, USA (pp. 262-263). https://ieeexplore.ieee.org/document/9973693 

Hernandez S M, Bulut E, 2022. Online Stream Sampling for Low-Memory On-Device Edge Training for WiFi Sensing, 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks - ACM Workshop on Wireless Security and Machine Learning (WiseML), May 16-19, San Antonio, Texas (pp. 9-14). https://dl.acm.org/doi/10.1145/3522783.3529521 

Yucel F, Bulut E, 2022. Three-dimensional Stable Task Assignment in Semi-opportunistic Mobile Crowdsensing, 23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), June 14-17, Belfast, UK (pp. 386-395). https://ieeexplore.ieee.org/document/9842821 (CORE B rank)

Bertini J, Cano A, 2022. An explainable classifier based on genetically evolved graph structures. IEEE Congress on Evolutionary Computation, https://ieeexplore.ieee.org/document/9870293 (CORE B rank)

Cachi PG, Jain S, Ventura S, Cauwenberghs G and Cios KJ, 2022. Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip. 29^th IEEE Int. Conf. on Electronic Circuits and Systems, Glasgow, UK, 24-26 October, DOI: 10.1109/ICECS202256217.2022.9970967

Ciborowska A, Damevski K, 2022. Fast Changeset-based Bug Localization Using BERT. 44th International Conference on Software Engineering (ICSE 2022), Technical Track, Pittsburgh, PA, USA https://doi.org/10.1145/3510003.3510042 (CORE A* rank)

Imran M M, Jain Y, Chatterjee C, Damevski K, 2022. Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Technical Track, Ann Arbor, MI, USA (CORE A* rank)

Frazier M, Kumar S, Damevski K, Pollock L, 2022. Investigating User Perceptions of Conversational Agents for Software-related Exploratory Web Search. 44th International Conference on Software Engineering (ICSE 2022), New Ideas and Emerging ResultsTrack, Pittsburgh, PA, USA https://doi.org/10.1145/3510455.3512778 (CORE A* rank)

Thai P, Thai MT, Vu T, Dinh TN, 2022. FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing,  IEEE International Conference on Quantum Computing and Engineering (QCE) https://doi.org/10.1109/QCE53715.2022.00030

Nguyen T-Thai P, Jeter T, Dinh TN, Thai MT, 2022. Blockchain-based Secure Client Selection in Federated Learning, IEEE International Conference on Blockchain and Cryptocurrency (ICBC), https://doi.org/10.1109/ICBC54727.2022.9805521

Thai P, Thai MT, Vu T, Dinh TN, 2002. SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks, 38th IEEE International Conference on Data Engineering (ICDE 2022)  https://doi.org/10.1109/ICDE53745.2022.00009 (CORE A* rank)

Dinh TN, Nguyen A, Nguyen U, Nguyen LG, 2022. Quantum Social Computing Approaches for Influence Maximization, 2022 IEEE Global Communications Conference (GLOBECOM ‘22), Brazil, Dec 2022.
(CORE B rank)

Roy S, Al Musawi A, Ghosh P, 2022. Cost-effective Vaccine Provisioning using Coalitional Game Theory, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, pp. 795-798, https://doi.ieeecomputersociety.org/10.1109/BIBM55620.2022.9994915

Roy S, Ghosh P, 2022. Examining post-pandemic behaviors influencing human mobility trends. 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB '22). New York, NY, USA, Article 40, https://doi.org/10.1145/3535508.3545552

Roy S, Chandra B, Anand A, Ghosh P, Ghosh N, 2022. Learning Temporal Mobility Patterns to Improve QoS in Mobile Wireless Communications. Computational Intelligence in Pattern Recognition (CIPR 2022). Lecture Notes in Networks and Systems, vol 480. Springer, Singapore, https://doi.org/10.1007/978-981-19-3089-8_34

Seng S, Yang G, Luo C, Li X, Ji H, 2022. Stochastic Optimization for Green Unmanned Aerial Communication Systems with Solar Energy. 2022 IEEE International Conference on Communications (ICC’22), Seoul, South Korea, May 16-20, https://ieeexplore.ieee.org/document/9839090 (CORE B rank)

Xiong T, Liu J, Zhang R, Zhang X, Luo C, Huang T, Liu Y, 2022. Delay-Aware Cooperative Caching for On-Chain Authentication in LEO Satellite Communications Systems, The 2022 IEEE International Conference on Communications (ICC’22), Seoul, South Korea, May 16-20, 2022. https://ieeexplore.ieee.org/document/9838696 (CORE B rank)

De Silva D, Nawaratne R, Ruminski J, Malinowski A, Manic M, 2022. Human System Interaction in Review: Advancing the Artificial Intelligence Transformation, 15th International Conference on Human System Interaction (HSI), pp. 1-5, doi: 10.1109/HSI55341.2022.9869473

Mavikumbure HS, Wickramasinghe CS, Marino DL, Cobilean V, Manic M, 2022. Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), pp. 1-7, doi: 10.1109/IECON49645.2022.9968505

Davis M, McInnes BT, Ahmed I, 2022. Forensic investigation of instant messaging services on linux OS: Discord and Slack as case studies. Forensic Science International: Digital Investigation 42(2022):301401, https://doi.org/10.1016/j.fsidi.2022.301401

Mahendran D, Tang C, McInnes BT, 2022. NLPatVCU CLEF 2022 ChEMU Shared Task System. Conference and Labs of the Evaluation Forum (CLEF) 2022 Working Notes. https://ceur-ws.org/Vol-3180/paper-65.pdf

Cuffy C, French E, Fehrmann S, McInnes BT, 2022. Exploring Representations for Singular and Multi-Concept Relations for Biomedical Named Entity Normalization. Web Conference 2022 (WWW '22), pp. 823-832, https://doi.org/10.1145/3487553.3524701

Mahendran D, Tang C, McInnes BT, 2022. Graph convolutional networks for chemical relation extraction. Web Conference 2022 (WWW '22), pp. 833-842, https://doi.org/10.1145/3487553.3524702

Ayyat M, Nukavarapu S, Nadeem T, 2022. Dynamic Deep Neural Network Adversarial Attacks for Edge-based IoT Devices. 2022 IEEE Global Communications Conference (GLOBECOM ‘22), Rio de Janeiro, Brazil, December, (CORE B rank)

Ayyat M, Nukavarapu S, Nadeem T, 2022. MirageNet - Towards a GAN-based Framework for Synthetic Network Traffic Generation, 2022 IEEE Global Communications Conference (GLOBECOM ‘22), Rio de Janeiro, Brazil, December, (CORE B rank)

Zhang Y, Krug DL, Mouza C, Shepherd DC, Pollock L, 2022. A Case Study of Middle Schoolers’ Use of Computational Thinking Concepts and Practices during Coded Music Composition. 27th ACM Conference on Innovation and Technology in Computer Science Education, vol. 1, pp. 33–39, https://dl.acm.org/doi/abs/10.1145/3502718.3524757 (CORE A rank)

Ritschel N, Fronchetti F, Holmes R, Garcia R, Shepherd DC, 2022. Can guided decomposition help end-users write larger block-based programs? a mobile robot experiment. ACM on Programming Languages, 6(OOPSLA2), pp. 233-258, https://dl.acm.org/doi/abs/10.1145/3563296 (CORE A rank)

Gomes F, Santos E, Freire S, Mendonca M, Mendes T, Spinola R, 2022. Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange. 2022 IEEE/ACM International Conference on Technical Debt (TechDebt), pp. 31-40, doi:10.1145/3524843.3528095

Soares G, Freire S, Rios N, Perez B, Castellanos C, Correal D, Mendonca M, Izurieta C, Seaman C, Spinola R, 2022. Investigating how Agile Software Practitioners Repay Technical Debt in Software Projects. 21th Brazilian Symposium on Software Quality (SBQS), Brazil, http://sbqs.sbc.org.br/2022/index.php/en-us/program/technical-sessions

Santos E, Gomes F, Freire S, Mendonca M, Souto T, Spinola R, 2022. Technical Debt on Agile Projects: Managers Point of View at Stack Exchange. 21th Brazilian Symposium on Software Quality (SBQS), Brazil, http://sbqs.sbc.org.br/2022/index.php/en-us/program/technical-sessions

Rios N, Spinola R, Travassos GH, 2022. Exploring Technical Debt on IoT Software Projects. 21th Brazilian Symposium on Software Quality (SBQS), Brazil, http://sbqs.sbc.org.br/2022/index.php/en-us/program/technical-sessions

Barbosa L, Freire S, Rios N, Ramac R, Mandic V, Tausan N, Perez B, Castellanos C, Correal D, Pacheco A, Lopez G, Maciel R, Mendonca M, Falessi D, Seaman C, Izurieta C, Spinola, R, 2022. Organizing the TD Management Landscape for Requirements and Requirements Documentation Debt. Workshop on Requirements Engineering (WER), http://hdl.handle.net/11603/25249

Rocha V, Freire S, Mendonca M, Spinola, R, 2022. Evaluating a Conceptual Framework for Supporting Technical Debt Management in Testing Activities. 7th Brazilian Symposium on Systematic and Automated Software Testing (SAST '22). Association for Computing Machinery, New York, NY, USA, pp. 69–78, https://doi.org/10.1145/3559744.3559753

Jia Y, Sun SF, Zhou HS, Du J, Gu D, 2022. Shuffle-based Private Set Union: Faster and More Secure. USENIX Security Symposium 2022. pp. 2947-2964 https://www.usenix.org/conference/usenixsecurity22/presentation/jia (CORE A* rank)

Zhang C, Zhou HS, Katz J, 2022. An Analysis of the Algebraic Group Model. Advances in Cryptology - ASIACRYPT 2022 https://doi.org/10.1007/978-3-031-22972-5_11 (CORE A rank)

Zhou Z, Zhang B, Zhou HS, Ren K, 2022. GUC-Secure Commitments via Random Oracles: New Impossibility and Feasibility. Advances in Cryptology - ASIACRYPT 2022 (CORE A rank) https://doi.org/10.1007/978-3-031-22972-5_5

Jia Y, Sun SF, Zhou HS, Gu D, 2022. A Universally Composable Non-Interactive Aggregate Cash System. Advances in Cryptology - ASIACRYPT 2022 https://doi.org/10.1007/978-3-031-22963-3_25 (CORE A rank)

Kurgan L, 2022. Machine Learning in Bioinformatics of Protein Sequences, World Scientific, ISBN: 978-981-125-857-2, 360 pages https://www.worldscientific.com/worldscibooks/10.1142/12899

Budwell C, 2022. Introduction to Counting and Permutations, In: CS-POGIL Special Issue, vol 3, no. 4 http://pac.chem.pitt.edu/index.php/pac/issue/view/19

Budwell C, 2022. Permutations and Combinations, In: CS-POGIL Special Issue, vol 3, no. 4 http://pac.chem.pitt.edu/index.php/pac/issue/view/19

Ramasamy V, Reddy Narasareddygari M, Walia G, Allen A, Duke D, Kiper J, Davis D, 2022. A Multi-institutional Analysis of CS1 Students’ Common Misconceptions of Key Programming Concepts. In: Virvou M, Tsihrintzis GA, Bourbakis NG, Jain LC (eds) Handbook on Artificial Intelligence-Empowered Applied Software Engineering. Artificial Intelligence-Enhanced Software and Systems Engineering, Springer, vol 3, pp. 127-144, https://doi.org/10.1007/978-3-031-07650-3_8

Pateras J, Vaidya A, Ghosh P, 2022. Physics-Informed Bias Method for Multiphysics Machine Learning: Reduced Order Amyloid-β Fibril Aggregation. In: Carapau F, Vaidya A (eds) Recent Advances in Mechanics and Fluid-Structure Interaction with Applications. Advances in Mathematical Fluid Mechanics. Birkhäuser, pp. 157-165 https://doi.org/10.1007/978-3-031-14324-3_7

Sleeman WC, Srinivasan S, Ghosh P, Palta J, Kapoor R, 2022. Big Data Applications in Radiation Oncology: Challenges and Opportunities. Artificial Intelligence in Cancer Diagnosis, Volume 3: Brain and Prostate Cancer, IOP Publishing, pp. 8-1 to 8-28, https://doi.org/10.1088/978-0-7503-3603-1ch8

Thai PD, Doan M, Liu W, Liu T, Li S, Zhou HS, Dinh TN, 2022. Blockchain Peer-to-Peer Network: Performance and Security.  In: Tran DA, Thai MT, Krishnamachari B (eds) Handbook on Blockchain. Springer Optimization and Its Applications, Springer, vol 194, pp. 55-83 https://doi.org/10.1007/978-3-031-07535-3_2

Dinh TN, Nguyen H, 2022. Importance sketching of influence dynamics in massive-scale networks, US Patent #US-11341585-B2

Thai MT, Dinh TN, Nguyen L, Truc N, 2022. Optimal Transactions Sharding for Scalable Blockchain, US Patent #US 11,531,982-B2

Shen X, Shen T, Afsar MR, Ye C, 2022. Motorized robotic walker guided by an image processing system for human walking assistance. US Patent #11396314.

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, 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 (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. 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 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, 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, 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 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 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 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 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. 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 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