Artigos de revistas sobre o tema "Unfairness mitigation"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 38 melhores artigos de revistas para estudos sobre o assunto "Unfairness mitigation".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os artigos de revistas das mais diversas áreas científicas e compile uma bibliografia correta.
Balayn, Agathe, Christoph Lofi e Geert-Jan Houben. "Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems". VLDB Journal 30, n.º 5 (5 de maio de 2021): 739–68. http://dx.doi.org/10.1007/s00778-021-00671-8.
Texto completo da fontePagano, Tiago P., Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo et al. "Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods". Big Data and Cognitive Computing 7, n.º 1 (13 de janeiro de 2023): 15. http://dx.doi.org/10.3390/bdcc7010015.
Texto completo da fonteAbdullah, Nurhidayah, e Zuhairah Ariff Abd Ghadas. "THE APPLICATION OF GOOD FAITH IN CONTRACTS DURING A FORCE MAJEURE EVENT AND BEYOND WITH SPECIAL REFERENCE TO THE COVID-19 ACT 2020". UUM Journal of Legal Studies 14, n.º 1 (18 de janeiro de 2023): 141–60. http://dx.doi.org/10.32890/uumjls2023.14.1.6.
Texto completo da fonteMenziwa, Yolanda, Eunice Lebogang Sesale e Solly Matshonisa Seeletse. "Challenges in research data collection and mitigation interventions". International Journal of Research in Business and Social Science (2147- 4478) 13, n.º 2 (3 de abril de 2024): 336–44. http://dx.doi.org/10.20525/ijrbs.v13i2.3187.
Texto completo da fonteRana, Saadia Afzal, Zati Hakim Azizul e Ali Afzal Awan. "A step toward building a unified framework for managing AI bias". PeerJ Computer Science 9 (26 de outubro de 2023): e1630. http://dx.doi.org/10.7717/peerj-cs.1630.
Texto completo da fonteLatif, Aadil, Wolfgang Gawlik e Peter Palensky. "Quantification and Mitigation of Unfairness in Active Power Curtailment of Rooftop Photovoltaic Systems Using Sensitivity Based Coordinated Control". Energies 9, n.º 6 (4 de junho de 2016): 436. http://dx.doi.org/10.3390/en9060436.
Texto completo da fonteYang, Zhenhuan, Yan Lok Ko, Kush R. Varshney e Yiming Ying. "Minimax AUC Fairness: Efficient Algorithm with Provable Convergence". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 10 (26 de junho de 2023): 11909–17. http://dx.doi.org/10.1609/aaai.v37i10.26405.
Texto completo da fonteKhanam, Taslima. "Rule of law approach to alleviation of poverty: An analysis on human rights dimension of governance". IIUC Studies 15 (21 de setembro de 2020): 23–32. http://dx.doi.org/10.3329/iiucs.v15i0.49342.
Texto completo da fonteQi, Jin. "Mitigating Delays and Unfairness in Appointment Systems". Management Science 63, n.º 2 (fevereiro de 2017): 566–83. http://dx.doi.org/10.1287/mnsc.2015.2353.
Texto completo da fonteLehrieder, Frank, Simon Oechsner, Tobias Hoßfeld, Dirk Staehle, Zoran Despotovic, Wolfgang Kellerer e Maximilian Michel. "Mitigating unfairness in locality-aware peer-to-peer networks". International Journal of Network Management 21, n.º 1 (janeiro de 2011): 3–20. http://dx.doi.org/10.1002/nem.772.
Texto completo da fonteMao, Runze, Wenqi Fan e Qing Li. "GCARe: Mitigating Subgroup Unfairness in Graph Condensation through Adversarial Regularization". Applied Sciences 13, n.º 16 (11 de agosto de 2023): 9166. http://dx.doi.org/10.3390/app13169166.
Texto completo da fonteMahmud, Md Sultan, e Md Forkan Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference". International Journal of Mobile Communications 16, n.º 3 (2018): 307. http://dx.doi.org/10.1504/ijmc.2018.091385.
Texto completo da fonteMahmud, Md Sultan, e Md Forkean Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference". International Journal of Mobile Communications 16, n.º 1 (2018): 1. http://dx.doi.org/10.1504/ijmc.2018.10004556.
Texto completo da fonteBejerano, Yigal, Seung-Jae Han e Mark Smith. "A novel frequency planning algorithm for mitigating unfairness in wireless LANs". Computer Networks 54, n.º 15 (outubro de 2010): 2575–90. http://dx.doi.org/10.1016/j.comnet.2010.04.009.
Texto completo da fonteWang, Wei, Ben Leong e Wei Tsang Ooi. "Mitigating Unfairness Due to Physical Layer Capture in Practical 802.11 Mesh Networks". IEEE Transactions on Mobile Computing 14, n.º 1 (1 de janeiro de 2015): 99–112. http://dx.doi.org/10.1109/tmc.2014.2315796.
Texto completo da fonteWu, Yinghui, Hai Yang, Shuo Zhao e Pan Shang. "Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach". Transportation Research Part B: Methodological 149 (julho de 2021): 418–42. http://dx.doi.org/10.1016/j.trb.2021.04.014.
Texto completo da fonteZhang, Wenbin, Tina Hernandez-Boussard e Jeremy Weiss. "Censored Fairness through Awareness". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 12 (26 de junho de 2023): 14611–19. http://dx.doi.org/10.1609/aaai.v37i12.26708.
Texto completo da fontePade, Robin, e Sven Feurer. "The mitigating role of nostalgia for consumer price unfairness perceptions in response to disadvantageous personalized pricing". Journal of Business Research 145 (junho de 2022): 277–87. http://dx.doi.org/10.1016/j.jbusres.2022.02.057.
Texto completo da fonteSafdari, Fash, e Anatoliy Gorbenko. "Theoretical and experimental study of performance anomaly in multi-rate IEEE802.11ac wireless networks". Radioelectronic and Computer Systems, n.º 4 (29 de novembro de 2022): 85–97. http://dx.doi.org/10.32620/reks.2022.4.06.
Texto completo da fonteDelobelle, Pieter, Paul Temple, Gilles Perrouin, Benoit Frénay, Patrick Heymans e Bettina Berendt. "Ethical Adversaries". ACM SIGKDD Explorations Newsletter 23, n.º 1 (26 de maio de 2021): 32–41. http://dx.doi.org/10.1145/3468507.3468513.
Texto completo da fonteMansoury, Masoud. ""Understanding and mitigating multi-sided exposure bias in recommender systems" by Masoud Mansoury with Aparna S. Varde as coordinator". ACM SIGWEB Newsletter, Autumn (setembro de 2022): 1–4. http://dx.doi.org/10.1145/3566100.3566103.
Texto completo da fonteBargh, Mortaza S., e Sunil Choenni. "Towards an Integrated Approach for Preserving Data Utility, Privacy and Fairness". 2018 International Conference on Multidisciplinary Research 2022 (30 de dezembro de 2022): 290–360. http://dx.doi.org/10.26803/myres.2022.24.
Texto completo da fonteAgrawal, Nimesh, Anuj Kumar Sirohi, Sandeep Kumar e Jayadeva. "No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 10 (24 de março de 2024): 10775–83. http://dx.doi.org/10.1609/aaai.v38i10.28950.
Texto completo da fonteNgcobo, Senzo, e Colin D. Reddy. "Exploring the Link between Organisational Performance Pressures and the Factors that Compromise Ethical Leadership". Athens Journal of Business & Economics 10, n.º 2 (29 de março de 2024): 139–58. http://dx.doi.org/10.30958/ajbe.10-2-4.
Texto completo da fonteUdoh, I. J., e O. I. Alabi. "An Assessment of Counter-Terrorism Options: A State Dependent Terror Queuing Model Perspective". International Journal of Research and Innovation in Applied Science IX, n.º II (2024): 74–103. http://dx.doi.org/10.51584/ijrias.2024.90209.
Texto completo da fonteVillarreal, Dan. "Sociolinguistic auto-coding has fairness problems too: measuring and mitigating bias". Linguistics Vanguard, 12 de março de 2024. http://dx.doi.org/10.1515/lingvan-2022-0114.
Texto completo da fonteBrown, Alexander, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam e Jessica Schrouff. "Detecting shortcut learning for fair medical AI using shortcut testing". Nature Communications 14, n.º 1 (18 de julho de 2023). http://dx.doi.org/10.1038/s41467-023-39902-7.
Texto completo da fonteDeho, Oscar Blessed, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu e Thuc Duy Le. "How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?" British Journal of Educational Technology, 12 de abril de 2022. http://dx.doi.org/10.1111/bjet.13217.
Texto completo da fonteWan, Mingyang, Daochen Zha, Ninghao Liu e Na Zou. "In-Processing Modeling Techniques for Machine Learning Fairness: A Survey". ACM Transactions on Knowledge Discovery from Data, 30 de julho de 2022. http://dx.doi.org/10.1145/3551390.
Texto completo da fonteTsai, Thomas C., Sercan Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham e Tomas Pfister. "Algorithmic fairness in pandemic forecasting: lessons from COVID-19". npj Digital Medicine 5, n.º 1 (10 de maio de 2022). http://dx.doi.org/10.1038/s41746-022-00602-z.
Texto completo da fonteXie, Shanghong, Akihisa Kaneko e Yasuhiro Hayashi. "A Decentralized Voltage Regulation Scheme Using Improved Volt‐Var Function of PV Smart Inverter". IEEJ Transactions on Electrical and Electronic Engineering, 11 de abril de 2024. http://dx.doi.org/10.1002/tee.24080.
Texto completo da fonteDigumarthi, Varun, Tapan Amin, Samuel Kanu, Joshua Mathew, Bryan Edwards, Lisa A. Peterson, Matthew E. Lundy e Karen E. Hegarty. "Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness". Journal of Orthopaedic Surgery and Research 19, n.º 1 (10 de maio de 2024). http://dx.doi.org/10.1186/s13018-024-04774-0.
Texto completo da fonteZhang, Qingquan, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao e Xin Yao. "Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning". IEEE Transactions on Evolutionary Computation, 2022, 1. http://dx.doi.org/10.1109/tevc.2022.3209544.
Texto completo da fonteColakovic, Ivona, e Sašo Karakatič. "Adaptive Boosting Method for Mitigating Ethnicity and Age Group Unfairness". SN Computer Science 5, n.º 1 (15 de novembro de 2023). http://dx.doi.org/10.1007/s42979-023-02342-7.
Texto completo da fonteBarnes, Malerie Beth, e Michele S. Moses. "Racial Misdirection: How Anti-affirmative Action Crusaders use Distraction and Spectacle to Promote Incomplete Conceptions of Merit and Perpetuate Racial Inequality". Educational Policy, 29 de dezembro de 2020, 089590482098446. http://dx.doi.org/10.1177/0895904820984465.
Texto completo da fonteShin, Hyunju, e Riza Casidy. "Use it or lose it: point expiration and status demotion". Journal of Services Marketing ahead-of-print, ahead-of-print (6 de abril de 2021). http://dx.doi.org/10.1108/jsm-01-2020-0015.
Texto completo da fonteBiewer, Sebastian, Kevin Baum, Sarah Sterz, Holger Hermanns, Sven Hetmank, Markus Langer, Anne Lauber-Rönsberg e Franz Lehr. "Software doping analysis for human oversight". Formal Methods in System Design, 4 de abril de 2024. http://dx.doi.org/10.1007/s10703-024-00445-2.
Texto completo da fonteKelly, Christopher J., Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado e Dominic King. "Key challenges for delivering clinical impact with artificial intelligence". BMC Medicine 17, n.º 1 (29 de outubro de 2019). http://dx.doi.org/10.1186/s12916-019-1426-2.
Texto completo da fonte