Snehanshu Saha

ScholarGPS® ID: 33037198144011

Affiliation

Indian Institute of Technology Patna, Patna, India

Affiliation History

Field

Engineering and Computer Science

Discipline

Computer Science

Top Specialties

Metrics Summary

Publication Count

Predicted Citations

772

Predicted h-index

Ranking

Publications and Citation History

Publications based on Top Specialties

Types of Publication

Publications
Books
Patents
NIH/NSF

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DiEvD-SF : Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting (journal article) Seetha, Aditi \| Chouhan, Satyendra Singh \| Pilli, Emmanuel S. \| Raychoudhury, Vaskar \| Saha, Snehanshu IEEE Transactions on Computational Social Systems, volume 11, issue 3, pages 4189-4201 (2024). 10.1109/TCSS.2024.3364544 Cite \| Source
Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward (journal article) Mathur, Archana \| Arya, Nikhilanand \| Pasupa, Kitsuchart \| Saha, Sriparna \| Roy Dey, Sudeepa \| Saha, Snehanshu Briefings in Functional Genomics (2024). 10.1093/bfgp/elae015 Cite \| Source
Predictive, correlative and machine learning models for estimation of viscosity of liquid mixtures (journal article) Prabhune, Aditi \| Mathur, Archana \| Saha, Snehanshu \| Dey, Ranjan Journal of Molecular Liquids, volume 397 (2024). 10.1016/j.molliq.2024.124147 Cited by (1) \| Cite \| Source
Advances in Data-Driven Computing and Intelligent Systems (book) Springer Nature Singapore (2024) 10.1007/978-981-99-9531-8 Cite \| Source
Advances in Data-Driven Computing and Intelligent Systems (book) Springer Nature Singapore (2024) 10.1007/978-981-99-9518-9 Cite \| Source
Advances in Data-Driven Computing and Intelligent Systems (book) Springer Nature Singapore (2024) 10.1007/978-981-99-9524-0 Cite \| Source
Advances in Data-Driven Computing and Intelligent Systems (book) Springer Nature Singapore (2024) 10.1007/978-981-99-9521-9 Cite \| Source
quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method (journal article) Saha, Snehanshu \| Sarkar, Jyotirmoy \| Dhavala, Soma \| Mota, Preyank \| Sarkar, Santonu IEEE Transactions on Artificial Intelligence (2024). 10.1109/TAI.2024.3353163 Cite \| Source
Automated Surface Classification System Using Vibration Patterns—A Case Study With Wheelchairs (journal article) Yu, Haoxiang \| Raychoudhury, Vaskar \| Saha, Snehanshu \| Edinger, Janick \| Smith, Roger O. \| Gani, Md Osman IEEE Transactions on Artificial Intelligence, volume 4, issue 4, pages 884-895 (2023). 10.1109/TAI.2022.3190828 Cited by (2) \| Cite \| Source
ALIS: A novel metric in lineage-independent evaluation of scholars (journal article) Dey, Sudeepa Roy \| Mathur, Archana \| Dayasagar, B.S \| Saha, Snehanshu Journal of Information Science, volume 49, issue 4, pages 1007-1030 (2023). 10.1177/01655515211039188 Cite \| Source
Investigation of a Machine learning methodology for the SKA pulsar search pipeline (journal article) Bhat, Shashank Sanjay \| Prabu, Thiagaraj \| Stappers, Ben \| Ghalame, Atul \| Saha, Snehanshu \| Sudarshan, T. S. B \| Hosenie, Zafiirah Journal of Astrophysics and Astronomy, volume 44, issue 1 (2023). 10.1007/s12036-023-09920-4 Cited by (1) \| Cite \| Source
Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches (journal article) Sarkar, Jyotirmoy \| Saha, Snehanshu \| Sarkar, Santonu Applied Intelligence, volume 53, issue 8, pages 8562-8595 (2023). 10.1007/s10489-022-03940-3 Cite \| Source
Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi-modal classifiers (journal article) Arya, Nikhilanand \| Saha, Sriparna \| Mathur, Archana \| Saha, Snehanshu Scientific Reports, volume 13, issue 1 (2023). 10.1038/s41598-023-30143-8 Cited by (9) \| Cite \| Source
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation (journal article) Arya, Nikhilanand \| Mathur, Archana \| Saha, Snehanshu \| Saha, Sriparna IEEE/ACM Transactions on Computational Biology and Bioinformatics, volume 20, issue 2, pages 1372-1383 (2023). 10.1109/TCBB.2022.3198879 Cited by (7) \| Cite \| Source
Advances in Data-driven Computing and Intelligent Systems (book) Springer Nature Singapore (2023) 10.1007/978-981-99-0981-0 Cited by (2) \| Cite \| Source
Advances in Data-Driven Computing and Intelligent Systems (book) Springer Nature Singapore (2023) 10.1007/978-981-99-3250-4 Cite \| Source
Fairly Constricted Multi-objective Particle Swarm Optimization (book chapter) In Neural Information Processing Bhattacharya, Anwesh \| Saha, Snehanshu \| Nagaraj, Nithin Springer Nature Singapore (2023) 10.1007/978-981-99-1639-9_51 Cite \| Source
P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem (book chapter) In Neural Information Processing Swain, Abhijeet \| Ganatra, Vaibhav \| Saha, Snehanshu \| Mathur, Archana \| Phadke, Rekha Springer Nature Singapore (2023) 10.1007/978-981-99-1648-1_31 Cited by (1) \| Cite \| Source
A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate (book chapter) In Neural Information Processing Sen, Snigdha \| Saha, Snehanshu \| Chakraborty, Pavan \| Singh, Krishna Pratap Springer Nature Singapore (2023) 10.1007/978-981-99-1642-9_11 Cite \| Source
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer (book chapter) In Neural Information Processing Vaidya, Omatharv Bharat \| DSouza, Rithvik Terence \| Dhavala, Soma \| Saha, Snehanshu \| Das, Swagatam Springer International Publishing (2023) 10.1007/978-3-031-30105-6_18 Cite \| Source