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pro vyhledávání: '"Aradhya, Abhay"'
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
Autor:
DiFrancesco, Michelle a, Hofer, Jeremy b, Aradhya, Abhay b, Rufinus, Jeffrey b, Stoddart, John b, Finocchiaro, Stephen a, Mani, Jabari a, Tevis, Sean a, Visconti, Michael a, Walawender, Griffin a, DiFlumeri, Juliette a, Fattakhova, Elena a, Patil, Sachin P. a, ⁎
Publikováno v:
In Computational Biology and Chemistry February 2023 102
Autor:
Aradhya, Abhay M.S. a, 1, Ashfahani, Andri a, Angelina, Fienny a, Pratama, Mahardhika b, 2, ⁎, de Mello, Rodrigo Fernandes c, Sundaram, Suresh d
Publikováno v:
In Information Sciences August 2022 607:638-653
Autor:
Aradhya, Abhay M.S. a, Subbaraju, Vigneshwaran b, Sundaram, Suresh c, Sundararajan, Narasimhan d
Publikováno v:
In Expert Systems With Applications 1 November 2021 181
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
Akademický článek
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Publikováno v:
EMBC
usc Refereed/Peer-reviewed Accurate detection of neuro-psychological disorders such as Attention Deficit Hyperactivity Disorder (ADHD) using resting state functional Magnetic Resonance Imaging (rs-fMRI) is challenging due to high dimensionality of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5fe4f4069a020c5749f0bd4373cee24
https://pubmed.ncbi.nlm.nih.gov/33018595
https://pubmed.ncbi.nlm.nih.gov/33018595
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
https://hdl.handle.net/11541.2/28079
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2020 Jul; Vol. 2020, pp. 2829-2832.
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2018 Jul; Vol. 2018, pp. 5541-5544.