Deepesh Agarwal

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 11

Top Venues

University of Nice Sophia Antipolis, France (PHD)

Education History

University of Nice Sophia Antipolis, France

PHD

Publications

Sriram Anbalagan, Sai Shashank GP, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan
Active Foundational Models for Fault Diagnosis of Electrical Motors. CoRR (2023)
Deepesh Agarwal, Balasubramaniam Natarajan
Tracking and handling behavioral biases in active learning frameworks. Inf. Sci. 641 (2023)
Sriram Anbalagan, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan
Foundational Models for Fault Diagnosis of Electrical Motors. CoRR (2023)
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing 521 (2023)
Deepesh Agarwal, Obdulia Covarrubias-Zambrano, Stefan H. Bossmann, Balasubramaniam Natarajan
Impacts of Behavioral Biases on Active Learning Strategies. ICAIIC (2022)
Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR (2022)
Deepesh Agarwal, Balasubramaniam Natarajan
Active Learning for Node Classification using a Convex Optimization approach. BigDataService (2022)
Deepesh Agarwal, Philip Randall, Zachary White, Bayleigh Bisnette, Jenalee Dickson, Cross Allen, Faraz Chamani, Punit Prakash, Carl Ade, Balasubramaniam Natarajan
A Non-Invasive Hydration Monitoring Technique Using Microwave Transmission and Data-Driven Approaches. Sensors 22 (7) (2022)
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR (2022)
Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan
Addressing Uncertainties within Active Learning for Industrial IoT. WF-IoT (2021)
Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan
Addressing practical challenges in Active Learning via a hybrid query strategy. CoRR (2021)
Deepesh Agarwal, Júlio César Silva Araújo, Christelle Caillouet, Frédéric Cazals, David Coudert, Stéphane Pérennes
Connectivity Inference in Mass Spectrometry Based Structure Determination. ESA (2013)

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Publication Activity (10 Years)

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Deepesh Agarwal