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ORCIDHarsh Agarwal
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2020 – today
- 2024
[j3]Avinash Agarwal
, Harsh Agarwal:
A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle. AI Ethics 4(2): 299-314 (2024)- [j2]Harsh Agarwal, Heena Rathore:
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators. Artif. Intell. Medicine 147: 102736 (2024) - [c11]Sadhana S, Sriprabha Ramanarayanan, Arunima Sarkar, Keerthi Ram, NagaGayathri Matcha, Suresh Joel, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam:
DCE-former: A Transformer-Based Model with Mutual Information and Frequency-Based Loss Functions for Early and Late Response Prediction in Prostate DCE-MRI. ISBI 2024: 1-5 - [i9]Sourav Saha, Harsh Agarwal, Swastik Mohanty, Mandar Mitra, Debapriyo Majumdar:
ir_explain: a Python Library of Explainable IR Methods. CoRR abs/2404.18546 (2024) - 2023
- [j1]Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal:
Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems. AI Ethics 3(1): 267-279 (2023) - [c10]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. CVPR 2023: 9739-9748 - [c9]Harsh Agarwal, Heena Rathore:
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators. NER 2023: 1-5 - 2022
- [c8]Kartik Narayan, Harsh Agarwal, Surbhi Mittal, Kartik Thakral, Suman Kundu, Mayank Vatsa, Richa Singh:
DeSI: Deepfake Source Identifier for Social Media. CVPR Workshops 2022: 2857-2866 - [c7]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. IJCB 2022: 1-10 - [i8]Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal:
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems. CoRR abs/2201.06952 (2022) - [i7]Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh:
DeePhy: On Deepfake Phylogeny. CoRR abs/2209.09111 (2022) - [i6]Avinash Agarwal, Harsh Agarwal:
A Seven-Layer Model for Standardising AI Fairness Assessment. CoRR abs/2212.11207 (2022) - [i5]Harsh Agarwal, Heena Rathore:
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators. CoRR abs/2212.13260 (2022) - 2021
- [i4]Harsh Agarwal, Navyata Sanghvi, Vivek Roy, Kris Kitani:
DeepBLE: Generalizing RSSI-based Localization Across Different Devices. CoRR abs/2103.00252 (2021) - [i3]Harsh Agarwal, Keshav Bansal, Abhinav Joshi, Ashutosh Modi:
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts. CoRR abs/2112.01938 (2021) - 2020
- [c6]Tulja Vamshi Kiran Buyakar, Harsh Agarwal, Bheemarjuna Reddy Tamma, A. Antony Franklin:
Resource Allocation with Admission Control for GBR and Delay QoS in 5G Network Slices. COMSNETS 2020: 213-220 - [c5]Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi:
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. SemEval@COLING 2020: 1221-1226 - [i2]Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi:
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. CoRR abs/2007.10819 (2020)
2010 – 2019
- 2019
- [c4]Tulja Vamshi Kiran Buyakar, Harsh Agarwal, Bheemarjuna Reddy Tamma, A. Antony Franklin:
Prototyping and Load Balancing the Service Based Architecture of 5G Core Using NFV. NetSoft 2019: 228-232 - 2018
- [c3]Harsh Agarwal, Gursimar Singh, Mohammed Arshad Siddiqui:
Classification of Abandoned and Unattended Objects, Identification of Their Owner with Threat Assessment for Visual Surveillance. CVIP (1) 2018: 221-232 - [c2]Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction. CVPR 2018: 340-349 - [c1]Archit Raj, Srikrishnan Vishwanathan, Bhavya Ajani, Karthik Krishnan, Harsh Agarwal:
Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritis. ISBI 2018: 851-854 - [i1]Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction. CoRR abs/1803.03893 (2018)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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