Deepesh Agarwal

15 papers A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Inductive graph neural network framework for imputation of single-cell RNA sequencing data. Comput. Chem. Eng. Boneshwar V. K, Deepesh Agarwal, Bala Natarajan, Babji Srinivasan
2024	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2023	J	`jnl`	A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
2023	J	`jnl`	Active Foundational Models for Fault Diagnosis of Electrical Motors. CoRR Sriram Anbalagan, Sai Shashank GP, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan
2023	J	`jnl`	Foundational Models for Fault Diagnosis of Electrical Motors. CoRR Sriram Anbalagan, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan
2023	J	`jnl`	Tracking and handling behavioral biases in active learning frameworks. Inf. Sci. Deepesh Agarwal, Balasubramaniam Natarajan
2022	J	`jnl`	A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
2022	J	`jnl`	A Non-Invasive Hydration Monitoring Technique Using Microwave Transmission and Data-Driven Approaches. Sensors Deepesh Agarwal, Philip Randall, Zachary White, Bayleigh Bisnette, Jenalee Dickson, Cross Allen, Faraz Chamani, Punit Prakash, Carl Ade, Balasubramaniam Natarajan
2022	—	`conf`	Active Learning for Node Classification using a Convex Optimization approach. BigDataService Deepesh Agarwal, Balasubramaniam Natarajan
2022	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2022	—	`conf`	Impacts of Behavioral Biases on Active Learning Strategies. ICAIIC Deepesh Agarwal, Obdulia Covarrubias-Zambrano, Stefan H. Bossmann, Balasubramaniam Natarajan
2021	—	`conf`	Addressing Uncertainties within Active Learning for Industrial IoT. WF-IoT Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan
2021	J	`jnl`	Addressing practical challenges in Active Learning via a hybrid query strategy. CoRR Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan
2015	—	`—`	Topics in mass spectrometry based structure determination. (Sur quelques problèmes algorithmiques relatifs à la détermination de structure à partir de données de spectrométrie de masse). Deepesh Agarwal
2013	A	`conf`	Connectivity Inference in Mass Spectrometry Based Structure Determination. ESA Deepesh Agarwal, Júlio César Silva Araújo, Christelle Caillouet, Frédéric Cazals, David Coudert, Stéphane Pérennes