{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:33:30Z","timestamp":1773246810358,"version":"3.50.1"},"reference-count":50,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10651225","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach"],"prefix":"10.1109","author":[{"given":"Yucong","family":"Dai","sequence":"first","affiliation":[{"name":"Clemson University,Electrical and Computer Engineering,Clemson,SC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Clemson University,Electrical and Computer Engineering,Clemson,SC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaowei","family":"Hu","sequence":"additional","affiliation":[{"name":"Walmart Inc,Bentonville,AR,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Arkansas,Computer Science &#x0026; Computer Engineering,Fayetteville,AR,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongkai","family":"Wu","sequence":"additional","affiliation":[{"name":"Clemson University,Electrical and Computer Engineering,Clemson,SC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"3315","article-title":"Equality of opportunity in supervised learning","volume-title":"Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016","author":"Hardt"},{"key":"ref2","first-page":"2415","article-title":"Satisfying real-world goals with dataset constraints","volume-title":"Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016","author":"Goh"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.83"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313723"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2009.83"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401959"},{"key":"ref7","first-page":"1","article-title":"Classifying without discriminating","volume-title":"2009 2nd International Conference on Computer, Control and Communication","author":"Kamiran"},{"key":"ref8","first-page":"60","article-title":"A reductions approach to fair classification","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm\u00e4ssan, Stockholm, Sweden, July 10-15, 2018","author":"Agarwal"},{"key":"ref9","first-page":"5250","article-title":"Efficient fair PCA for fair representation learning","volume-title":"International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain","author":"Kleindessner"},{"key":"ref10","first-page":"962","article-title":"Fairness constraints: Mechanisms for fair classification","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017","author":"Zafar"},{"key":"ref11","first-page":"229","article-title":"From parity to preference-based notions of fairness in classification","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017","author":"Zafar"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052660"},{"key":"ref13","first-page":"75:1","article-title":"Fairness Constraints: A Flexible Approach for Fair Classification","volume-title":"J. Mach. Learn. Res.","author":"Zafar","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3551390"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.18"},{"key":"ref16","first-page":"1438","article-title":"Counterfactual fairness: Unidentification, bound and algorithm","volume-title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019","author":"Wu"},{"key":"ref17","first-page":"1452","article-title":"Achieving causal fairness through generative adversarial networks","volume-title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019","author":"Xu"},{"key":"ref18","first-page":"2718","article-title":"Situation testing-based discrimination discovery: A causal inference approach","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016","author":"Zhang"},{"key":"ref19","first-page":"3929","article-title":"A causal framework for discovering and removing direct and indirect discrimination","volume-title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017","author":"Zhang"},{"key":"ref20","first-page":"3097","article-title":"Achieving non-discrimination in prediction","volume-title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018","author":"Zhang"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220087"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098167"},{"key":"ref23","first-page":"3399","article-title":"PC-Fairness: A unified framework for measuring causality-based fairness","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019","author":"Wu"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-39931-7_9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2872988"},{"key":"ref26","article-title":"Adult","volume-title":"UCI Machine Learning Repository","author":"Becker","year":"1996"},{"key":"ref27","article-title":"From weakly supervised learning to biquality learning, a brief introduction","volume-title":"CoRR","author":"Nodet"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2245276.2245303"},{"issue":"2","key":"ref29","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Workshop on challenges in representation learning, ICML","author":"Lee"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020610"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191616"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0463-8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098095"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.50"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_3"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.45"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14419\/ijet.v7i1.8.9977"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3220219"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3002567"},{"key":"ref42","first-page":"47","article-title":"Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach","author":"Sugiyama"},{"key":"ref43","first-page":"77","article-title":"Weakly supervised learning","author":"LEMAIRE"},{"issue":"1","key":"ref44","first-page":"44","article-title":"A brief introduction to weakly supervised learning","volume-title":"National Science Review","author":"Zhou","year":"2018"},{"key":"ref45","article-title":"Intersectionality: Multiple Group Fairness in Expectation Constraints","author":"Fitzsimons","year":"2018"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00203"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000907"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007402410823"},{"key":"ref49","first-page":"2132","article-title":"Attention-based deep multiple instance learning","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm\u00e4ssan, Stockholm, Sweden, July 10-15, 2018","author":"Ilse"},{"key":"ref50","first-page":"6478","article-title":"Retiring adult: New datasets for fair machine learning","volume-title":"Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual","author":"Ding"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10651225.pdf?arnumber=10651225","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:27:40Z","timestamp":1725949660000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10651225\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10651225","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}