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Saptarshi Sengupta
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2020 – today
- 2024
- [i21]Saptarshi Sengupta, Shreya Ghosh, Prasenjit Mitra, Tarikul Islam Tamiti:
Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions. CoRR abs/2401.07847 (2024) - [i20]Saptarshi Sengupta, Connor T. Heaton, Prasenjit Mitra, Soumalya Sarkar:
Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension. CoRR abs/2401.07977 (2024) - [i19]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 abs/2403.19816 (2024) - [i18]Pooja Krishan, Rohan Mohapatra, Saptarshi Sengupta:
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures. CoRR abs/2408.14875 (2024) - [i17]Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang:
Exploring Language Model Generalization in Low-Resource Extractive QA. CoRR abs/2409.18446 (2024) - 2023
- [j11]Gangothri Sanil, Krishna Prakasha, 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: 82521-82538 (2023) - [c10]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: 16318-16319 - [c9]Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta:
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. IEEE Big Data 2023: 2221-2228 - [c8]Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta:
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. SMARTCOMP 2023: 261-266 - [i16]Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta:
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters. CoRR abs/2303.08955 (2023) - [i15]Shreya Ghosh, Saptarshi Sengupta, Prasenjit Mitra:
Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis. CoRR abs/2306.13905 (2023) - [i14]Rohan Mohapatra, Saptarshi Sengupta:
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction. CoRR abs/2309.02641 (2023) - [i13]Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta:
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. CoRR abs/2310.00023 (2023) - [i12]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 abs/2310.16995 (2023) - 2022
- [j10]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): 320 (2022) - [j9]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): 330 (2022) - [j8]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): 48 (2022) - [i11]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 abs/2202.03577 (2022) - 2021
- [j7]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): 695-719 (2021) - [j6]Sanchita Basak, Saptarshi Sengupta, Shi-Jie Wen, Abhishek Dubey:
Spatio-temporal AI inference engine for estimating hard disk reliability. Pervasive Mob. Comput. 70: 101283 (2021) - [c7]Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta:
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. IEEE BigData 2021: 4832-4841 - [i10]Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta:
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. CoRR abs/2109.05351 (2021) - 2020
- [j5]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: 105596 (2020)
2010 – 2019
- 2019
- [j4]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): 19 (2019) - [j3]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): 4821-4832 (2019) - [j2]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): 9 (2019) - [j1]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): 157-191 (2019) - [c6]Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey:
Data-Driven Optimization of Public Transit Schedule. BDA 2019: 265-284 - [c5]Saptarshi Sengupta, Ted Pedersen:
Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector. SemEval@NAACL-HLT 2019: 949-953 - [c4]Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey:
Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks. SMARTCOMP 2019: 208-216 - [i9]Saptarshi Sengupta:
Investigating Antigram Behaviour using Distributional Semantics. CoRR abs/1901.05066 (2019) - [i8]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 abs/1905.13294 (2019) - [i7]Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey:
Data-Driven Optimization of Public Transit Schedule. CoRR abs/1912.02574 (2019) - 2018
- [c3]Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters:
Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. CCWC 2018: 137-142 - [c2]Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters:
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. SSCI 2018: 704-711 - [c1]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: 1321-1330 - [i6]Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II:
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives. CoRR abs/1804.05319 (2018) - [i5]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 abs/1806.01396 (2018) - [i4]Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II:
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. CoRR abs/1807.02870 (2018) - [i3]Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey:
A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks. CoRR abs/1810.08985 (2018) - [i2]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 abs/1811.01945 (2018) - 2017
- [i1]Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II:
Data Clustering using a Hybrid of Fuzzy C-Means and Quantum-behaved Particle Swarm Optimization. CoRR abs/1712.05512 (2017)
Coauthor Index
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last updated on 2024-10-18 20:27 CEST by the dblp team
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