Deepesh Agarwal

Orcid: 0000-0001-5874-043X

According to our database1, Deepesh Agarwal authored at least 12 papers between 2013 and 2023.

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Bibliography

2023
Tracking and handling behavioral biases in active learning frameworks.
Inf. Sci., September, 2023

A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks.
Neurocomputing, 2023

Active Foundational Models for Fault Diagnosis of Electrical Motors.
CoRR, 2023

Foundational Models for Fault Diagnosis of Electrical Motors.
CoRR, 2023

2022
A Non-Invasive Hydration Monitoring Technique Using Microwave Transmission and Data-Driven Approaches.
Sensors, 2022

Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications.
CoRR, 2022

Impacts of Behavioral Biases on Active Learning Strategies.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022

Active Learning for Node Classification using a Convex Optimization approach.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2021
Addressing practical challenges in Active Learning via a hybrid query strategy.
CoRR, 2021

Addressing Uncertainties within Active Learning for Industrial IoT.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

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).
PhD thesis, 2015

2013
Connectivity Inference in Mass Spectrometry Based Structure Determination.
Proceedings of the Algorithms - ESA 2013, 2013


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