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Deepesh Agarwal
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2020 – today
- 2023
- [j3]Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan:
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing 521: 1-10 (2023) - [j2]Deepesh Agarwal, Balasubramaniam Natarajan:
Tracking and handling behavioral biases in active learning frameworks. Inf. Sci. 641: 119117 (2023) - [i5]Sriram Anbalagan, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan:
Foundational Models for Fault Diagnosis of Electrical Motors. CoRR abs/2307.16891 (2023) - [i4]Sriram Anbalagan, Sai Shashank GP, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan:
Active Foundational Models for Fault Diagnosis of Electrical Motors. CoRR abs/2311.15516 (2023) - 2022
- [j1]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): 2536 (2022) - [c4]Deepesh Agarwal, Balasubramaniam Natarajan:
Active Learning for Node Classification using a Convex Optimization approach. BigDataService 2022: 96-102 - [c3]Deepesh Agarwal, Obdulia Covarrubias-Zambrano, Stefan H. Bossmann, Balasubramaniam Natarajan:
Impacts of Behavioral Biases on Active Learning Strategies. ICAIIC 2022: 256-261 - [i3]Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan:
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR abs/2205.09968 (2022) - [i2]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 abs/2206.07922 (2022) - 2021
- [c2]Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan:
Addressing Uncertainties within Active Learning for Industrial IoT. WF-IoT 2021: 557-562 - [i1]Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan:
Addressing practical challenges in Active Learning via a hybrid query strategy. CoRR abs/2110.03785 (2021)
2010 – 2019
- 2015
- [b1]Deepesh Agarwal:
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). University of Nice Sophia Antipolis, France, 2015 - 2013
- [c1]Deepesh Agarwal, Júlio César Silva Araújo, Christelle Caillouet, Frédéric Cazals, David Coudert, Stéphane Pérennes:
Connectivity Inference in Mass Spectrometry Based Structure Determination. ESA 2013: 289-300
Coauthor Index
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