Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Kumar, I. P."'
In fair machine learning, one source of performance disparities between groups is over-fitting to groups with relatively few training samples. We derive group-specific bounds on the generalization error of welfare-centric fair machine learning that b
Externí odkaz:
http://arxiv.org/abs/2402.18803
Autor:
Ayeesha Siddiq, Naveen Kumar. I
Publikováno v:
Iranian Rehabilitation Journal, Vol 22, Iss 2, Pp 295-306 (2024)
Objectives: This study assesses the knowledge, attitudes and beliefs of physiotherapists regarding non-specific chronic low back pain (NSCLBP) and explores their impact on treatment selection, ultimately enhancing quality outcomes. Methods: A total o
Externí odkaz:
https://doaj.org/article/8de0145b272742e5a7c6479adbc11b7e
Publikováno v:
AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Credit is an essential component of financial wellbeing in America, and unequal access to it is a large factor in the economic disparities between demographic groups that exist today. Today, machine learning algorithms, sometimes trained on alternati
Externí odkaz:
http://arxiv.org/abs/2210.02516
Autor:
Tinguely, R. A., Gonzalez-Martin, J., Puglia, P. G., Fil, N., Dowson, S., Porkolab, M., Kumar, I., Podestà, M., Baruzzo, M., Fasoli, A., Kazakov, Ye. O., Nave, M. F. F., Nocente, M., Ongena, J., Štancar, Ž., Contributors, JET
In this paper, we report the novel experimental observation of both unstable and stable Toroidicity-induced Alfv\'en Eigenmodes (TAEs) measured simultaneously in a JET tokamak plasma. The three-ion-heating scheme (D-DNBI-3He) is employed to accelerat
Externí odkaz:
http://arxiv.org/abs/2208.05052
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22)
Deployed AI systems often do not work. They can be constructed haphazardly, deployed indiscriminately, and promoted deceptively. However, despite this reality, scholars, the press, and policymakers pay too little attention to functionality. This lead
Externí odkaz:
http://arxiv.org/abs/2206.09511
Autor:
Hancox-Li, Leif, Kumar, I. Elizabeth
As the public seeks greater accountability and transparency from machine learning algorithms, the research literature on methods to explain algorithms and their outputs has rapidly expanded. Feature importance methods form a popular class of explanat
Externí odkaz:
http://arxiv.org/abs/2101.12737
Game-theoretic formulations of feature importance have become popular as a way to "explain" machine learning models. These methods define a cooperative game between the features of a model and distribute influence among these input elements using som
Externí odkaz:
http://arxiv.org/abs/2002.11097
Akademický článek
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Akademický článek
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Autor:
Tejaswini R., Praveen Kumar I.
Publikováno v:
E3S Web of Conferences, Vol 477, p 00068 (2024)
To examine the neurotoxicity induced by the novel drug Rutin trihydrate and metformin in the zebrafish larvae model. Test solutions for the exposure groups were prepared by diluting the stock solution with egg water. These solutions contained 30 µM
Externí odkaz:
https://doaj.org/article/3d9225587e774a69afd792163fe0090b