Soma S. Dhavala

22 papers A 1B 2Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Health Sentinel: An AI Pipeline For Real-time Disease Outbreak Detection. CoRR Devesh Pant, Rishi Raj Grandhe, Vipin Samaria, Mukul Paul, Sudhir Kumar, Saransh Khanna, Jatin Agrawal, Jushaan Singh Kalra, Akhil VSSG, Satish V. Khalikar, Vipin Garg, Himanshu Chauhan, Pranay Verma, Neha Khandelwal, Soma S. Dhavala, Minesh Mathew
2025	J	`jnl`	Learning to detect PII: Tabular vs. Document classification models for network traffic analysis. J. Inf. Secur. Appl. Rishika Kohli, Shaifu Gupta, Manoj Singh Gaur, Soma S. Dhavala
2024	A	`conf`	QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier. UAI Aditya Challa, Soma S. Dhavala, Snehanshu Saha
2024	J	`jnl`	quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. IEEE Trans. Artif. Intell. Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Preyank Mota, Santonu Sarkar
2023	J	`jnl`	Correcting Model Misspecification via Generative Adversarial Networks. CoRR Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha
2023	J	`jnl`	Decoupling Quantile Representations from Loss Functions. CoRR Aditya Challa, Snehanshu Saha, Soma S. Dhavala
2023	J	`jnl`	Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data. CoRR Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota
2022	J	`jnl`	AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha
2022	J	`jnl`	Estimation and Applications of Quantiles in Deep Binary Classification. IEEE Trans. Artif. Intell. Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
2022	—	`conf`	HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. ICONIP (1) Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das
2022	J	`jnl`	Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das
2022	J	`jnl`	LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri
2022	J	`jnl`	LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. CoRR Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha
2021	—	`conf`	A Deep Learning framework for Interoperable Machine Learning. AIMLSystems Shakkeel Ahmed, Prakash Bisht, Ravi S. Mula, Soma S. Dhavala
2021	J	`jnl`	Estimation and Applications of Quantiles in Deep Binary Classification. CoRR Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
2020	J	`jnl`	A Framework for Democratizing AI. CoRR Shakkeel Ahmed, Ravi S. Mula, Soma S. Dhavala
2020	J	`jnl`	A framework for predicting, interpreting, and improving Learning Outcomes. CoRR Chintan Donda, Sayan Dasgupta, Soma S. Dhavala, Keyur Faldu, Aditi Avasthi
2020	J	`jnl`	AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients. CoRR Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala
2020	B	`conf`	Auto generation of diagnostic assessments and their quality evaluation. EDM Soma S. Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu, Aditi Avasthi
2020	B	`conf`	LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. IJCNN Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
2020	J	`jnl`	LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. CoRR Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
2017	J	`jnl`	Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics Avishek Chakraborty, Derek Bingham, Soma S. Dhavala, Carolyn C. Kuranz, R. Paul Drake, Michael J. Grosskopf, Erica M. Rutter, Ben R. Torralva, James Paul Holloway, Ryan G. McClarren, Bani K. Mallick