Ayon Sen
Ayon Sen
Research Scientist at Meta
Verified email at - Homepage
Cited by
Cited by
Binarization with boosting and oversampling for multiclass classification
A Sen, MM Islam, K Murase, X Yao
IEEE transactions on cybernetics 46 (5), 1078-1091, 2015
Should adversarial attacks use pixel p-norm?
A Sen, X Zhu, L Marshall, R Nowak
arXiv preprint arXiv:1906.02439, 2019
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice.
A Sen, P Patel, MA Rau, B Mason, R Nowak, TT Rogers, X Zhu
International Educational Data Mining Society, 2018
Palindromic subsequence automata and longest common palindromic subsequence
MM Hasan, ASMS Islam, MS Rahman, A Sen
Mathematics in Computer Science 11, 219-232, 2017
Training set camouflage
A Sen, S Alfeld, X Zhang, A Vartanian, Y Ma, X Zhu
Decision and Game Theory for Security: 9th International Conference, GameSec …, 2018
MARQUES: Distributed multi-attribute range query solution using space filling curve on DTHs
A Sen, ASMS Islam, MYS Uddin
2015 International Conference on Networking Systems and Security (NSysS), 1-9, 2015
Using machine learning to overcome the expert blind spot for perceptual fluency trainings
MA Rau, A Sen, X Zhu
Artificial Intelligence in Education: 20th International Conference, AIED …, 2019
Comparative study on spatial structure of Phyllostachys heterocycla var. pubescens stand with different management.
HLX Huang LiXia, YWG Yuan WeiGao, HJH Huang JianHua, ...
SceneCalib: Automatic targetless calibration of cameras and LiDARs in autonomous driving
A Sen, G Pan, A Mitrokhin, A Islam
2023 IEEE International Conference on Robotics and Automation (ICRA), 7771-7777, 2023
Popular imperceptibility measures in visual adversarial attacks are far from human perception
A Sen, X Zhu, E Marshall, R Nowak
Decision and Game Theory for Security: 11th International Conference …, 2020
An algorithmic framework based on the binarization approach for supervised and semi-supervised multiclass problems
A Sen, MM Islam, K Murase
2014 International Joint Conference on Neural Networks (IJCNN), 175-182, 2014
Learning to Read through Machine Teaching
A Sen, CR Cox, MC Borkenhagen, MS Seidenberg, X Zhu
arXiv preprint arXiv:2006.16470, 2020
For Teaching Perceptual Fluency, Machines Beat Human Experts.
A Sen, P Patel, MA Rau, B Mason, R Nowak, TT Rogers, J Zhu
CogSci, 2018
Optimal teaching for online perceptrons
XZHG Ohannessian, A Sen, S Alfeld, X Zhu
University of Wisconsin-Madison, 2016
Digitally Training Graph Viewers against Misleading Bar Charts
C Ramly, A Sen, V Kale, MA Rau, J Zhu
Proceedings of the Annual Meeting of the Cognitive Science Society, 2021
Sensor calibration for autonomous systems and applications
A Sen, G Pan, CC Yang, Y Wu
US Patent App. 18/166,118, 2024
Sensor calibration for autonomous systems and applications
A Sen, G Pan, CC Yang, Y Wu
US Patent App. 18/166,121, 2024
Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching.
MC Borkenhagen, A Sen, MS Seidenberg, J Zhu, CR Cox
CogSci, 2020
Learning with the Help of a Teacher
A Sen
The University of Wisconsin-Madison, 2020
On palindromic sequence automata and applications
MM Hasan, ASMS Islam, MS Rahman, A Sen
Implementation and Application of Automata: 18th International Conference …, 2013
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