Artykuły w czasopismach na temat „Unfairness mitigation”
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Sprawdź 38 najlepszych artykułów w czasopismach naukowych na temat „Unfairness mitigation”.
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Balayn, Agathe, Christoph Lofi i 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, nr 5 (5.05.2021): 739–68. http://dx.doi.org/10.1007/s00778-021-00671-8.
Pełny tekst źródłaPagano, Tiago P., Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo i in. "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, nr 1 (13.01.2023): 15. http://dx.doi.org/10.3390/bdcc7010015.
Pełny tekst źródłaAbdullah, Nurhidayah, i 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, nr 1 (18.01.2023): 141–60. http://dx.doi.org/10.32890/uumjls2023.14.1.6.
Pełny tekst źródłaMenziwa, Yolanda, Eunice Lebogang Sesale i Solly Matshonisa Seeletse. "Challenges in research data collection and mitigation interventions". International Journal of Research in Business and Social Science (2147- 4478) 13, nr 2 (3.04.2024): 336–44. http://dx.doi.org/10.20525/ijrbs.v13i2.3187.
Pełny tekst źródłaRana, Saadia Afzal, Zati Hakim Azizul i Ali Afzal Awan. "A step toward building a unified framework for managing AI bias". PeerJ Computer Science 9 (26.10.2023): e1630. http://dx.doi.org/10.7717/peerj-cs.1630.
Pełny tekst źródłaLatif, Aadil, Wolfgang Gawlik i Peter Palensky. "Quantification and Mitigation of Unfairness in Active Power Curtailment of Rooftop Photovoltaic Systems Using Sensitivity Based Coordinated Control". Energies 9, nr 6 (4.06.2016): 436. http://dx.doi.org/10.3390/en9060436.
Pełny tekst źródłaYang, Zhenhuan, Yan Lok Ko, Kush R. Varshney i Yiming Ying. "Minimax AUC Fairness: Efficient Algorithm with Provable Convergence". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 10 (26.06.2023): 11909–17. http://dx.doi.org/10.1609/aaai.v37i10.26405.
Pełny tekst źródłaKhanam, Taslima. "Rule of law approach to alleviation of poverty: An analysis on human rights dimension of governance". IIUC Studies 15 (21.09.2020): 23–32. http://dx.doi.org/10.3329/iiucs.v15i0.49342.
Pełny tekst źródłaQi, Jin. "Mitigating Delays and Unfairness in Appointment Systems". Management Science 63, nr 2 (luty 2017): 566–83. http://dx.doi.org/10.1287/mnsc.2015.2353.
Pełny tekst źródłaLehrieder, Frank, Simon Oechsner, Tobias Hoßfeld, Dirk Staehle, Zoran Despotovic, Wolfgang Kellerer i Maximilian Michel. "Mitigating unfairness in locality-aware peer-to-peer networks". International Journal of Network Management 21, nr 1 (styczeń 2011): 3–20. http://dx.doi.org/10.1002/nem.772.
Pełny tekst źródłaMao, Runze, Wenqi Fan i Qing Li. "GCARe: Mitigating Subgroup Unfairness in Graph Condensation through Adversarial Regularization". Applied Sciences 13, nr 16 (11.08.2023): 9166. http://dx.doi.org/10.3390/app13169166.
Pełny tekst źródłaMahmud, Md Sultan, i Md Forkan Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference". International Journal of Mobile Communications 16, nr 3 (2018): 307. http://dx.doi.org/10.1504/ijmc.2018.091385.
Pełny tekst źródłaMahmud, Md Sultan, i Md Forkean Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference". International Journal of Mobile Communications 16, nr 1 (2018): 1. http://dx.doi.org/10.1504/ijmc.2018.10004556.
Pełny tekst źródłaBejerano, Yigal, Seung-Jae Han i Mark Smith. "A novel frequency planning algorithm for mitigating unfairness in wireless LANs". Computer Networks 54, nr 15 (październik 2010): 2575–90. http://dx.doi.org/10.1016/j.comnet.2010.04.009.
Pełny tekst źródłaWang, Wei, Ben Leong i Wei Tsang Ooi. "Mitigating Unfairness Due to Physical Layer Capture in Practical 802.11 Mesh Networks". IEEE Transactions on Mobile Computing 14, nr 1 (1.01.2015): 99–112. http://dx.doi.org/10.1109/tmc.2014.2315796.
Pełny tekst źródłaWu, Yinghui, Hai Yang, Shuo Zhao i Pan Shang. "Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach". Transportation Research Part B: Methodological 149 (lipiec 2021): 418–42. http://dx.doi.org/10.1016/j.trb.2021.04.014.
Pełny tekst źródłaZhang, Wenbin, Tina Hernandez-Boussard i Jeremy Weiss. "Censored Fairness through Awareness". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 12 (26.06.2023): 14611–19. http://dx.doi.org/10.1609/aaai.v37i12.26708.
Pełny tekst źródłaPade, Robin, i Sven Feurer. "The mitigating role of nostalgia for consumer price unfairness perceptions in response to disadvantageous personalized pricing". Journal of Business Research 145 (czerwiec 2022): 277–87. http://dx.doi.org/10.1016/j.jbusres.2022.02.057.
Pełny tekst źródłaSafdari, Fash, i Anatoliy Gorbenko. "Theoretical and experimental study of performance anomaly in multi-rate IEEE802.11ac wireless networks". Radioelectronic and Computer Systems, nr 4 (29.11.2022): 85–97. http://dx.doi.org/10.32620/reks.2022.4.06.
Pełny tekst źródłaDelobelle, Pieter, Paul Temple, Gilles Perrouin, Benoit Frénay, Patrick Heymans i Bettina Berendt. "Ethical Adversaries". ACM SIGKDD Explorations Newsletter 23, nr 1 (26.05.2021): 32–41. http://dx.doi.org/10.1145/3468507.3468513.
Pełny tekst źródłaMansoury, Masoud. ""Understanding and mitigating multi-sided exposure bias in recommender systems" by Masoud Mansoury with Aparna S. Varde as coordinator". ACM SIGWEB Newsletter, Autumn (wrzesień 2022): 1–4. http://dx.doi.org/10.1145/3566100.3566103.
Pełny tekst źródłaBargh, Mortaza S., i Sunil Choenni. "Towards an Integrated Approach for Preserving Data Utility, Privacy and Fairness". 2018 International Conference on Multidisciplinary Research 2022 (30.12.2022): 290–360. http://dx.doi.org/10.26803/myres.2022.24.
Pełny tekst źródłaAgrawal, Nimesh, Anuj Kumar Sirohi, Sandeep Kumar i Jayadeva. "No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 10 (24.03.2024): 10775–83. http://dx.doi.org/10.1609/aaai.v38i10.28950.
Pełny tekst źródłaNgcobo, Senzo, i Colin D. Reddy. "Exploring the Link between Organisational Performance Pressures and the Factors that Compromise Ethical Leadership". Athens Journal of Business & Economics 10, nr 2 (29.03.2024): 139–58. http://dx.doi.org/10.30958/ajbe.10-2-4.
Pełny tekst źródłaUdoh, I. J., i 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, nr II (2024): 74–103. http://dx.doi.org/10.51584/ijrias.2024.90209.
Pełny tekst źródłaVillarreal, Dan. "Sociolinguistic auto-coding has fairness problems too: measuring and mitigating bias". Linguistics Vanguard, 12.03.2024. http://dx.doi.org/10.1515/lingvan-2022-0114.
Pełny tekst źródłaBrown, Alexander, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam i Jessica Schrouff. "Detecting shortcut learning for fair medical AI using shortcut testing". Nature Communications 14, nr 1 (18.07.2023). http://dx.doi.org/10.1038/s41467-023-39902-7.
Pełny tekst źródłaDeho, Oscar Blessed, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu i Thuc Duy Le. "How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?" British Journal of Educational Technology, 12.04.2022. http://dx.doi.org/10.1111/bjet.13217.
Pełny tekst źródłaWan, Mingyang, Daochen Zha, Ninghao Liu i Na Zou. "In-Processing Modeling Techniques for Machine Learning Fairness: A Survey". ACM Transactions on Knowledge Discovery from Data, 30.07.2022. http://dx.doi.org/10.1145/3551390.
Pełny tekst źródłaTsai, Thomas C., Sercan Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham i Tomas Pfister. "Algorithmic fairness in pandemic forecasting: lessons from COVID-19". npj Digital Medicine 5, nr 1 (10.05.2022). http://dx.doi.org/10.1038/s41746-022-00602-z.
Pełny tekst źródłaXie, Shanghong, Akihisa Kaneko i Yasuhiro Hayashi. "A Decentralized Voltage Regulation Scheme Using Improved Volt‐Var Function of PV Smart Inverter". IEEJ Transactions on Electrical and Electronic Engineering, 11.04.2024. http://dx.doi.org/10.1002/tee.24080.
Pełny tekst źródłaDigumarthi, Varun, Tapan Amin, Samuel Kanu, Joshua Mathew, Bryan Edwards, Lisa A. Peterson, Matthew E. Lundy i 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, nr 1 (10.05.2024). http://dx.doi.org/10.1186/s13018-024-04774-0.
Pełny tekst źródłaZhang, Qingquan, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao i 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.
Pełny tekst źródłaColakovic, Ivona, i Sašo Karakatič. "Adaptive Boosting Method for Mitigating Ethnicity and Age Group Unfairness". SN Computer Science 5, nr 1 (15.11.2023). http://dx.doi.org/10.1007/s42979-023-02342-7.
Pełny tekst źródłaBarnes, Malerie Beth, i 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, 29.12.2020, 089590482098446. http://dx.doi.org/10.1177/0895904820984465.
Pełny tekst źródłaShin, Hyunju, i Riza Casidy. "Use it or lose it: point expiration and status demotion". Journal of Services Marketing ahead-of-print, ahead-of-print (6.04.2021). http://dx.doi.org/10.1108/jsm-01-2020-0015.
Pełny tekst źródłaBiewer, Sebastian, Kevin Baum, Sarah Sterz, Holger Hermanns, Sven Hetmank, Markus Langer, Anne Lauber-Rönsberg i Franz Lehr. "Software doping analysis for human oversight". Formal Methods in System Design, 4.04.2024. http://dx.doi.org/10.1007/s10703-024-00445-2.
Pełny tekst źródłaKelly, Christopher J., Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado i Dominic King. "Key challenges for delivering clinical impact with artificial intelligence". BMC Medicine 17, nr 1 (29.10.2019). http://dx.doi.org/10.1186/s12916-019-1426-2.
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