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Mayank Agrawal
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2020 – today
- 2023
- [j3]Shivang Sunil Singh, Mayank Agrawal, M. Eliazer:
Collision detection and prevention for the visually impaired using computer vision and machine learning. Adv. Eng. Softw. 179: 103424 (2023) - 2022
- [c7]Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal:
How Confident Was Your Reviewer? Estimating Reviewer Confidence from Peer Review Texts. DAS 2022: 126-139 - [c6]Prabhat Kumar Bharti, Asheesh Kumar, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal:
Can a Machine Generate a Meta-Review? How Far Are We? TSD 2022: 275-287 - 2021
- [c5]Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agrawal, Asif Ekbal:
PEERAssist: Leveraging on Paper-Review Interactions to Predict Peer Review Decisions. ICADL 2021: 421-435 - 2020
- [j2]Mainak Jas
, Titipat Achakulvisut
, Aid Idrizovic, Daniel E. Acuna
, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley
, Hugo Fernandes
, Drew Harris, Beibin Li, Olivier Pieters
, Scott Otterson, Giovanni De Toni
, Chris C. Rodgers
, Eva L. Dyer, Matti Hamalainen, Konrad P. Körding, Pavan Ramkumar
:
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020) - [i3]Mayank Agrawal, Sharon C. Glotzer:
Muscle-inspired flexible mechanical logic architecture for colloidal robotics. CoRR abs/2012.09345 (2020)
2010 – 2019
- 2019
- [c4]Mayank Agrawal, Kavita Vemuri:
Analyzing high decibel honking effect on driving behavior using VR and bio-sensors. AutomotiveUI (adjunct) 2019: 81-85 - [c3]Mayank Agrawal, Joshua C. Peterson, Tom Griffiths:
Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. CogSci 2019: 1318-1323 - [i2]Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths:
Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. CoRR abs/1902.06744 (2019) - [i1]Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths:
Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making. CoRR abs/1910.07581 (2019) - 2018
- [c2]Eduardo Martin Moraud
, Gerd Tinkhauser
, Mayank Agrawal, Peter Brown, Rafal Bogacz:
Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients. EMBC 2018: 3766-3796 - 2011
- [j1]Siddharth Mitra, Mayank Agrawal, Amit Yadav, Niklas Carlsson, Derek L. Eager, Anirban Mahanti:
Characterizing Web-Based Video Sharing Workloads. ACM Trans. Web 5(2): 8:1-8:27 (2011)
2000 – 2009
- 2009
- [c1]Siddharth Mitra, Mayank Agrawal, Amit Yadav, Niklas Carlsson, Derek L. Eager, Anirban Mahanti:
Characterizing web-based video sharing workloads. WWW 2009: 1191-1192
Coauthor Index

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last updated on 2023-09-08 10:08 CEST by the dblp team
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