Adaptive Discounting of Training Time Attacks

Autor: Bector, Ridhima, Aradhya, Abhay, Quek, Chai, Rabinovich, Zinovi

Among the most insidious attacks on Reinforcement Learning (RL) solutions are training-time attacks (TTAs) that create loopholes and backdoors in the learned behaviour. Not limited to a simple disruption, constructive TTAs (C-TTAs) are now available,

Externí odkaz: http://arxiv.org/abs/2401.02652

Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination

Autor: Aradhya, Abhay M.S., Ashfahani, Andri, Angelina, Fienny, Pratama, Mahardhika, de Mello, Rodrigo Fernandes, Sundaram, Suresh

Publikováno v: In Information Sciences August 2022 607:638-653

A Tuberculous Case of Pseudo-Meigs Syndrome

Autor: Aradhya, Abhay, Bedi, Angad, Cox, Andrew, Khattak, Ridda, Al Hennawi, Hussam, Pirolli, Gregory, Fallis, Rebecca

Publikováno v: Infectious Diseases in Clinical Practice; September 2024, Vol. 32 Issue: 5 pe1400-e1400, 1p

Artificial Intelligence Based Techniques for the Detection of Socio-Behavioral Disorders: A Systematic Review.

Autor: Mengi, Mehak, Malhotra, Deepti

Publikováno v: Archives of Computational Methods in Engineering; Aug2022, Vol. 29 Issue 5, p2811-2855, 45p

Deep transformation method for discriminant analysis of multi-channel resting state fMRI

Autor: Aradhya, Abhay MS, Joglekar, Aditya, Suresh, Sundaram, Pratama, M, AAAI-19 Thirty-Third AAAI Conference on Artificial Intelligence Hawaii, USA 27 January-1 February 2019

usc Refereed/Peer-reviewed Analysis of resting state - functional Magnetic Resonance Imaging (rs-fMRI) data has been a challenging problem due to a high homogeneity, large intra-class variability, limited samples and difference in acquisition technol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1231::235aa90c7d898aebe0e572d2715d4dab
https://hdl.handle.net/11541.2/28079