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pro vyhledávání: '"Rashmi Nagpal"'
A Multi-Objective Framework for Balancing Fairness and Accuracy in Debiasing Machine Learning Models
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 2130-2148 (2024)
Machine learning algorithms significantly impact decision-making in high-stakes domains, necessitating a balance between fairness and accuracy. This study introduces an in-processing, multi-objective framework that leverages the Reject Option Classif
Externí odkaz:
https://doaj.org/article/09a4c6308b2340099b89bc9d1d2ec397
Autor:
Navjot Singh, Kriti Kathuria, Avneet Kaur, Anupam Jain, Shubham Dokania, Rahul Badhwar, Rakesh Kanji, Ganesh Bagler, Apuroop Sethupathy, Neelansh Garg, Shubham Shukla, Rakhi Nk, Rashmi Nagpal, Arvind Iyer, A. Gupta, Rudraksh Tuwani, Shubhra Agrawal
Publikováno v:
Nucleic Acids Research
Flavor is an expression of olfactory and gustatory sensations experienced through a multitude of chemical processes triggered by molecules. Beyond their key role in defining taste and smell, flavor molecules also regulate metabolic processes with con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5705c4d794262690608e4fbd63789b40
http://europepmc.org/articles/PMC5753196
http://europepmc.org/articles/PMC5753196