Saptarshi Sengupta

52 papers A* 1B 5Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GaLoRA: Parameter-Efficient Graph-Aware LLMs for Node Classification. CoRR Mayur Choudhary, Saptarshi Sengupta, Katerina Potika
2026	—	`conf`	ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers. EACL (Volume 1: Long Papers) Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
2025	J	`jnl`	Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs. CoRR Jaydip Sen, Saptarshi Sengupta, Subhasis Dasgupta
2025	J	`jnl`	BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions. CoRR Saptarshi Sengupta, Shuhua Yang, Paul Kwong Yu, Fali Wang, Suhang Wang
2025	B	`conf`	Exploring Language Model Generalization in Low-Resource Extractive QA. COLING Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang
2025	—	`conf`	Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database. AAAI Spring Symposia Jyothi Vaidyanathan, Shourya Gupta, Justin Lee, Srikanth Prabhu, Saptarshi Sengupta
2025	B	`conf`	TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. COLING Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Wenpeng Yin, Preslav Nakov, Suhang Wang
2025	J	`jnl`	ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers. CoRR Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
2024	J	`jnl`	Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures. CoRR Pooja Krishan, Rohan Mohapatra, Saptarshi Sengupta
2024	J	`jnl`	Exploring Language Model Generalization in Low-Resource Extractive QA. CoRR Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang
2024	J	`jnl`	Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension. CoRR Saptarshi Sengupta, Connor T. Heaton, Prasenjit Mitra, Soumalya Sarkar
2024	J	`jnl`	MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification. CoRR Saptarshi Sengupta, Kristal Curtis, Akshay Mallipeddi, Abhinav Mathur, Joseph Ross, Liang Gou
2024	J	`jnl`	Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions. CoRR Saptarshi Sengupta, Shreya Ghosh, Prasenjit Mitra, Tarikul Islam Tamiti
2024	J	`jnl`	The State of Lithium-Ion Battery Health Prognostics in the CPS Era. CoRR Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Harish Garg, Srikanth Prabhu, Sanchari Das, Mohammad Masum, Saptarshi Sengupta
2024	—	`conf`	Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings. BIBM Saptarshi Sengupta, Connor T. Heaton, Suhan Cui, Soumalya Sarkar, Prasenjit Mitra
2023	J	`jnl`	2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications. IEEE Access Gangothri Sanil, Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta
2023	A*	`conf`	Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). AAAI Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra
2023	B	`conf`	De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. IEEE Big Data Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta
2023	J	`jnl`	De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. CoRR Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta
2023	B	`conf`	Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. SMARTCOMP Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta
2023	J	`jnl`	Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. CoRR Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta
2023	J	`jnl`	Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering. CoRR Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra
2023	J	`jnl`	Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis. CoRR Shreya Ghosh, Saptarshi Sengupta, Prasenjit Mitra
2023	J	`jnl`	TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction. CoRR Rohan Mohapatra, Saptarshi Sengupta
2022	J	`jnl`	Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism. Inf. Gopal Nath, Yawei Wang, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta
2022	J	`jnl`	Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees. CoRR Gopal Nath, Antoine Harfouche, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta
2022	J	`jnl`	Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters. Inf. Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta, Gopal Nath
2022	J	`jnl`	Use of Machine Learning for Early Detection of Knee Osteoarthritis and Quantifying Effectiveness of Treatment Using Force Platform. J. Sens. Actuator Networks Ashish John Prabhakar, Srikanth Prabhu, Aayush Agrawal, Siddhisa Banerjee, Abraham M. Joshua, Yogeesh Dattakumar Kamat, Gopal Nath, Saptarshi Sengupta
2021	J	`jnl`	Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks. Mach. Learn. Knowl. Extr. Adam Pickens, Saptarshi Sengupta
2021	—	`conf`	Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. IEEE BigData Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta
2021	J	`jnl`	Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. CoRR Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta
2021	J	`jnl`	Spatio-temporal AI inference engine for estimating hard disk reliability. Pervasive Mob. Comput. Sanchita Basak, Saptarshi Sengupta, Shi-Jie Wen, Abhishek Dubey
2020	J	`jnl`	A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters
2019	J	`jnl`	A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters
2019	J	`jnl`	Chaotic Quantum Double Delta Swarm Algorithm Using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues. J. Sens. Actuator Networks Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
2019	—	`conf`	Data-Driven Optimization of Public Transit Schedule. BDA Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey
2019	J	`jnl`	Data-Driven Optimization of Public Transit Schedule. CoRR Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey
2019	—	`conf`	Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector. SemEval@NAACL-HLT Saptarshi Sengupta, Ted Pedersen
2019	J	`jnl`	Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla - A Low Resourced Language. Informatics Rajat Pandit, Saptarshi Sengupta, Sudip Kumar Naskar, Niladri Sekhar Dash, Mohini Mohan Sardar
2019	J	`jnl`	Investigating Antigram Behaviour using Distributional Semantics. CoRR Saptarshi Sengupta
2019	B	`conf`	Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks. SMARTCOMP Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey
2019	J	`jnl`	Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives. Mach. Learn. Knowl. Extr. Saptarshi Sengupta, Sanchita Basak, Richard A. Peters
2019	J	`jnl`	Word sense induction in bengali using parallel corpora and distributional semantics. J. Intell. Fuzzy Syst. Saptarshi Sengupta, Rajat Pandit, Parag Mitra, Sudip Kumar Naskar, Mohini Mohan Sardar
2018	J	`jnl`	A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks. CoRR Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey
2018	J	`jnl`	Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues. CoRR Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
2018	—	`conf`	Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. CCWC Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters
2018	—	`conf`	Learning to Track On-The-Fly Using a Particle Filter with Annealed-Weighted QPSO Modeled after a Singular Dirac Delta Potential. SSCI Saptarshi Sengupta, Richard A. Peters II
2018	J	`jnl`	Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential. CoRR Saptarshi Sengupta, Richard Alan Peters II
2018	J	`jnl`	Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives. CoRR Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
2018	—	`conf`	QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. SSCI Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters
2018	J	`jnl`	QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. CoRR Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
2017	J	`jnl`	Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. CoRR Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II