Saptarshi Sengupta

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Topics

Top Venues

J. Sens. Actuator Networks

Publications

Saptarshi Sengupta, Connor T. Heaton, Prasenjit Mitra, Soumalya Sarkar
Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension. CoRR (2024)
Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Harish Garg, Srikanth Prabhu, Sanchari Das, Mohammad Masum, Saptarshi Sengupta
The State of Lithium-Ion Battery Health Prognostics in the CPS Era. CoRR (2024)
Saptarshi Sengupta, Shreya Ghosh, Prasenjit Mitra, Tarikul Islam Tamiti
Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions. CoRR (2024)
Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. CoRR (2023)
Rohan Mohapatra, Saptarshi Sengupta
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction. CoRR (2023)
Shreya Ghosh, Saptarshi Sengupta, Prasenjit Mitra
Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis. CoRR (2023)
Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, Saptarshi Sengupta
2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications. IEEE Access 11 (2023)
Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. CoRR (2023)
Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra
Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). AAAI (2023)
Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. BigData (2023)
Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. SMARTCOMP (2023)
Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra
Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering. CoRR (2023)
Gopal Nath, Antoine Harfouche, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta
Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees. CoRR (2022)
Ashish John Prabhakar, Srikanth Prabhu, Aayush Agrawal, Siddhisa Banerjee, Abraham M. Joshua, Yogeesh Dattakumar Kamat, Gopal Nath, Saptarshi Sengupta
Use of Machine Learning for Early Detection of Knee Osteoarthritis and Quantifying Effectiveness of Treatment Using Force Platform. J. Sens. Actuator Networks 11 (3) (2022)
Gopal Nath, Yawei Wang, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, Saptarshi Sengupta
Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism. Inf. 13 (7) (2022)
Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta, Gopal Nath
Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters. Inf. 13 (7) (2022)
Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. CoRR (2021)
Adam Pickens, Saptarshi Sengupta
Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks. Mach. Learn. Knowl. Extr. 3 (3) (2021)
Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. IEEE BigData (2021)
Sanchita Basak, Saptarshi Sengupta, Shi-Jie Wen, Abhishek Dubey
Spatio-temporal AI inference engine for estimating hard disk reliability. Pervasive Mob. Comput. 70 (2021)
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters
A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. 194 (2020)
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR (2019)
Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey
Data-Driven Optimization of Public Transit Schedule. BDA (2019)
Rajat Pandit, Saptarshi Sengupta, Sudip Kumar Naskar, Niladri Sekhar Dash, Mohini Mohan Sardar
Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla - A Low Resourced Language. Informatics 6 (2) (2019)
Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey
Data-Driven Optimization of Public Transit Schedule. CoRR (2019)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
Chaotic Quantum Double Delta Swarm Algorithm Using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues. J. Sens. Actuator Networks 8 (1) (2019)
Saptarshi Sengupta, Sanchita Basak, Richard A. Peters
Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives. Mach. Learn. Knowl. Extr. 1 (1) (2019)
Saptarshi Sengupta, Ted Pedersen
Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector. SemEval@NAACL-HLT (2019)
Saptarshi Sengupta, Rajat Pandit, Parag Mitra, Sudip Kumar Naskar, Mohini Mohan Sardar
Word sense induction in bengali using parallel corpora and distributional semantics. J. Intell. Fuzzy Syst. 36 (5) (2019)
Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey
Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks. SMARTCOMP (2019)
Saptarshi Sengupta
Investigating Antigram Behaviour using Distributional Semantics. CoRR (2019)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues. CoRR (2018)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. SSCI (2018)
Saptarshi Sengupta, Richard A. Peters II
Learning to Track On-The-Fly Using a Particle Filter with Annealed-Weighted QPSO Modeled after a Singular Dirac Delta Potential. SSCI (2018)
Saptarshi Sengupta, Richard Alan Peters II
Learning to track on-the-fly using a particle filter with annealed- weighted QPSO modeled after a singular Dirac delta potential. CoRR (2018)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. CoRR (2018)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters
Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. CCWC (2018)
Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey
A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks. CoRR (2018)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives. CoRR (2018)
Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II
Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. CoRR (2017)