Saptarshi Sengupta

According to our database, Saptarshi Sengupta authored at least 33 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring Language Model Generalization in Low-Resource Extractive QA.

Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang

CoRR, 2024

Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures.

Pooja Krishan, Rohan Mohapatra, Saptarshi Sengupta

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

Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension.

Saptarshi Sengupta, Connor T. Heaton, Prasenjit Mitra, Soumalya Sarkar

CoRR, 2024

Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions.

Saptarshi Sengupta, Shreya Ghosh, Prasenjit Mitra, Tarikul Islam Tamiti

CoRR, 2024

2023

Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering.

Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra

CoRR, 2023

TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction.

Rohan Mohapatra, Saptarshi Sengupta

CoRR, 2023

Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis.

Shreya Ghosh, Saptarshi Sengupta, Prasenjit Mitra

CoRR, 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

Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters.

Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics.

Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta

Proceedings of the IEEE International Conference on Big Data, 2023

Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract).

Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

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

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

2021

Spatio-temporal AI inference engine for estimating hard disk reliability.

Sanchita Basak, Saptarshi Sengupta, Shi-Jie Wen, Abhishek Dubey

Pervasive Mob. Comput., 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

Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks.

Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

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

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

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

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

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

Investigating Antigram Behaviour using Distributional Semantics.

Saptarshi Sengupta

CoRR, 2019

Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks.

Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey

Proceedings of the IEEE International Conference on Smart Computing, 2019

Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector.

Saptarshi Sengupta, Ted Pedersen

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Data-Driven Optimization of Public Transit Schedule.

Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey

Proceedings of the Big Data Analytics - 7th International Conference, 2019

2018

A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks.

Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey

CoRR, 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential.

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization.

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018