Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. - Saptarshi Sengupta; Sanchita Basak; Richard Alan Peters (CCWC, 2018)

QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. - Saptarshi Sengupta; Sanchita Basak; Richard Alan Peters (SSCI, 2018)

Learning to Track On-The-Fly Using a Particle Filter with Annealed-Weighted QPSO Modeled after a Singular Dirac Delta Potential. - Saptarshi Sengupta; Richard A. Peters II (SSCI, 2018)

A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks. - Sanchita Basak; Saptarshi Sengupta; Abhishek Dubey (CoRR, 2018)

Data-Driven Optimization of Public Transit Schedule. - Sanchita Basak; Fangzhou Sun; Saptarshi Sengupta; Abhishek Dubey (BDA, 2019)

Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector. - Saptarshi Sengupta; Ted Pedersen (SemEval@NAACL-HLT, 2019)

Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks. - Sanchita Basak; Saptarshi Sengupta; Abhishek Dubey (SMARTCOMP, 2019)

Investigating Antigram Behaviour using Distributional Semantics. - Saptarshi Sengupta (CoRR, 2019)

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. - Saptarshi Sengupta; Sanchita Basak; Pallabi Saikia; Sayak Paul; Vasilios Tsalavoutis; Frederick Ditliac Atiah; Vadlamani Ravi; Richard Alan Peters (CoRR, 2019)

Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla - A Low Resourced Language. - Rajat Pandit; Saptarshi Sengupta; Sudip Kumar Naskar; Niladri Sekhar Dash; Mohini Mohan Sardar (Informatics, 2019)

Word sense induction in bengali using parallel corpora and distributional semantics. - Saptarshi Sengupta; Rajat Pandit; Parag Mitra; Sudip Kumar Naskar; Mohini Mohan Sardar (J. Intell. Fuzzy Syst., 2019)

Chaotic Quantum Double Delta Swarm Algorithm Using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues. - Saptarshi Sengupta; Sanchita Basak; Richard Alan Peters II (J. Sens. Actuator Networks, 2019)

Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives. - Saptarshi Sengupta; Sanchita Basak; Richard A. Peters (Mach. Learn. Knowl. Extr., 2019)

A review of deep learning with special emphasis on architectures, applications and recent trends. - Saptarshi Sengupta; Sanchita Basak; Pallabi Saikia; Sayak Paul; Vasilios Tsalavoutis; Frederick Ditliac Atiah; Vadlamani Ravi; Alan Peters (Knowl. Based Syst., 2020)

Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. - Austin Coursey; Gopal Nath; Srikanth Prabhu; Saptarshi Sengupta (IEEE BigData, 2021)

Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks. - Adam Pickens; Saptarshi Sengupta (Mach. Learn. Knowl. Extr., 2021)

Spatio-temporal AI inference engine for estimating hard disk reliability. - Sanchita Basak; Saptarshi Sengupta; Shi-Jie Wen; Abhishek Dubey (Pervasive Mob. Comput., 2021)

Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees. - Gopal Nath; Antoine Harfouche; Austin Coursey; Krishna K. Saha; Srikanth Prabhu; Saptarshi Sengupta (CoRR, 2022)

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism. - Gopal Nath; Yawei Wang; Austin Coursey; Krishna K. Saha; Srikanth Prabhu; Saptarshi Sengupta (Inf., 2022)

Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters. - Aditya Pradhan; Srikanth Prabhu; Krishnaraj Chadaga; Saptarshi Sengupta; Gopal Nath (Inf., 2022)

Use of Machine Learning for Early Detection of Knee Osteoarthritis and Quantifying Effectiveness of Treatment Using Force Platform. - Ashish John Prabhakar; Srikanth Prabhu; Aayush Agrawal; Siddhisa Banerjee; Abraham M. Joshua; Yogeesh Dattakumar Kamat; Gopal Nath; Saptarshi Sengupta (J. Sens. Actuator Networks, 2022)

Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). - Saptarshi Sengupta; Shreya Ghosh 002; Preslav Nakov; Prasenjit Mitra (AAAI, 2023)

De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. - Gaurav Shinde; Rohan Mohapatra; Pooja Krishan; Saptarshi Sengupta (IEEE Big Data, 2023)

Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. - Rohan Mohapatra; Austin Coursey; Saptarshi Sengupta (SMARTCOMP, 2023)

2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications. - Gangothri Sanil; Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak; Saptarshi Sengupta (IEEE Access, 2023)

Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis. - Shreya Ghosh 002; Saptarshi Sengupta; Prasenjit Mitra (CoRR, 2023)

TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction. - Rohan Mohapatra; Saptarshi Sengupta (CoRR, 2023)

Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering. - Saptarshi Sengupta; Connor T. Heaton; Shreya Ghosh 002; Preslav Nakov; Prasenjit Mitra (CoRR, 2023)

Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings. - Saptarshi Sengupta; Connor T. Heaton; Suhan Cui; Soumalya Sarkar; Prasenjit Mitra (BIBM, 2024)

Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions. - Saptarshi Sengupta; Shreya Ghosh 002; Prasenjit Mitra; Tarikul Islam Tamiti (CoRR, 2024)

Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension. - Saptarshi Sengupta; Connor T. Heaton; Prasenjit Mitra; Soumalya Sarkar (CoRR, 2024)

The State of Lithium-Ion Battery Health Prognostics in the CPS Era. - Gaurav Shinde; Rohan Mohapatra; Pooja Krishan; Harish Garg; Srikanth Prabhu; Sanchari Das; Mohammad Masum; Saptarshi Sengupta (CoRR, 2024)

Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures. - Pooja Krishan; Rohan Mohapatra; Saptarshi Sengupta (CoRR, 2024)

MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification. - Saptarshi Sengupta; Kristal Curtis; Akshay Mallipeddi; Abhinav Mathur; Joseph Ross; Liang Gou (CoRR, 2024)

Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database. - Jyothi Vaidyanathan; Shourya Gupta; Justin Lee; Srikanth Prabhu; Saptarshi Sengupta (AAAI Spring Symposia, 2025)

Exploring Language Model Generalization in Low-Resource Extractive QA. - Saptarshi Sengupta; Wenpeng Yin 001; Preslav Nakov; Shreya Ghosh 002; Suhang Wang (COLING, 2025)

TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. - Saptarshi Sengupta; Connor T. Heaton; Shreya Ghosh 002; Wenpeng Yin 001; Preslav Nakov; Suhang Wang (COLING, 2025)

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs. - Jaydip Sen; Saptarshi Sengupta; Subhasis Dasgupta (CoRR, 2025)

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions. - Saptarshi Sengupta; Shuhua Yang; Paul Kwong Yu; Fali Wang; Suhang Wang (CoRR, 2025)