Saptarshi Sengupta

Orcid: 0000-0003-1114-343X

According to our database1, Saptarshi Sengupta authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension.
CoRR, 2024

Milestones in Bengali Sentiment Analysis leveraging Transformer-models: Fundamentals, Challenges and Future Directions.
CoRR, 2024

2023
Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering.
CoRR, 2023

TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction.
CoRR, 2023

Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis.
CoRR, 2023

2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications.
IEEE Access, 2023

Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics.
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).
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.
J. Sens. Actuator Networks, 2022

Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters.
Inf., 2022

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism.
Inf., 2022

Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees.
CoRR, 2022

2021
Spatio-temporal AI inference engine for estimating hard disk reliability.
Pervasive Mob. Comput., 2021

Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks.
Mach. Learn. Knowl. Extr., 2021

Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks.
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.
Knowl. Based Syst., 2020

2019
Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives.
Mach. Learn. Knowl. Extr., 2019

Chaotic Quantum Double Delta Swarm Algorithm Using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues.
J. Sens. Actuator Networks, 2019

Word sense induction in bengali using parallel corpora and distributional semantics.
J. Intell. Fuzzy Syst., 2019

Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla - A Low Resourced Language.
Informatics, 2019

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.
CoRR, 2019

Investigating Antigram Behaviour using Distributional Semantics.
CoRR, 2019

Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks.
Proceedings of the IEEE International Conference on Smart Computing, 2019

Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Data-Driven Optimization of Public Transit Schedule.
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.
CoRR, 2018

Learning to Track On-The-Fly Using a Particle Filter with Annealed-Weighted QPSO Modeled after a Singular Dirac Delta Potential.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential.
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.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018


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