Articoli di riviste sul tema "Unfairness mitigation"
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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. 5 (5 maggio 2021): 739–68. http://dx.doi.org/10.1007/s00778-021-00671-8.
Pagano, 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. 1 (13 gennaio 2023): 15. http://dx.doi.org/10.3390/bdcc7010015.
Abdullah, 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. 1 (18 gennaio 2023): 141–60. http://dx.doi.org/10.32890/uumjls2023.14.1.6.
Menziwa, 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. 2 (3 aprile 2024): 336–44. http://dx.doi.org/10.20525/ijrbs.v13i2.3187.
Rana, 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 ottobre 2023): e1630. http://dx.doi.org/10.7717/peerj-cs.1630.
Latif, 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. 6 (4 giugno 2016): 436. http://dx.doi.org/10.3390/en9060436.
Yang, 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. 10 (26 giugno 2023): 11909–17. http://dx.doi.org/10.1609/aaai.v37i10.26405.
Khanam, Taslima. "Rule of law approach to alleviation of poverty: An analysis on human rights dimension of governance". IIUC Studies 15 (21 settembre 2020): 23–32. http://dx.doi.org/10.3329/iiucs.v15i0.49342.
Qi, Jin. "Mitigating Delays and Unfairness in Appointment Systems". Management Science 63, n. 2 (febbraio 2017): 566–83. http://dx.doi.org/10.1287/mnsc.2015.2353.
Lehrieder, 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. 1 (gennaio 2011): 3–20. http://dx.doi.org/10.1002/nem.772.
Mao, Runze, Wenqi Fan e Qing Li. "GCARe: Mitigating Subgroup Unfairness in Graph Condensation through Adversarial Regularization". Applied Sciences 13, n. 16 (11 agosto 2023): 9166. http://dx.doi.org/10.3390/app13169166.
Mahmud, Md Sultan, e Md Forkan Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference". International Journal of Mobile Communications 16, n. 3 (2018): 307. http://dx.doi.org/10.1504/ijmc.2018.091385.
Mahmud, Md Sultan, e Md Forkean Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference". International Journal of Mobile Communications 16, n. 1 (2018): 1. http://dx.doi.org/10.1504/ijmc.2018.10004556.
Bejerano, Yigal, Seung-Jae Han e Mark Smith. "A novel frequency planning algorithm for mitigating unfairness in wireless LANs". Computer Networks 54, n. 15 (ottobre 2010): 2575–90. http://dx.doi.org/10.1016/j.comnet.2010.04.009.
Wang, 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. 1 (1 gennaio 2015): 99–112. http://dx.doi.org/10.1109/tmc.2014.2315796.
Wu, 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 (luglio 2021): 418–42. http://dx.doi.org/10.1016/j.trb.2021.04.014.
Zhang, Wenbin, Tina Hernandez-Boussard e Jeremy Weiss. "Censored Fairness through Awareness". Proceedings of the AAAI Conference on Artificial Intelligence 37, n. 12 (26 giugno 2023): 14611–19. http://dx.doi.org/10.1609/aaai.v37i12.26708.
Pade, 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 (giugno 2022): 277–87. http://dx.doi.org/10.1016/j.jbusres.2022.02.057.
Safdari, Fash, e Anatoliy Gorbenko. "Theoretical and experimental study of performance anomaly in multi-rate IEEE802.11ac wireless networks". Radioelectronic and Computer Systems, n. 4 (29 novembre 2022): 85–97. http://dx.doi.org/10.32620/reks.2022.4.06.
Delobelle, Pieter, Paul Temple, Gilles Perrouin, Benoit Frénay, Patrick Heymans e Bettina Berendt. "Ethical Adversaries". ACM SIGKDD Explorations Newsletter 23, n. 1 (26 maggio 2021): 32–41. http://dx.doi.org/10.1145/3468507.3468513.
Mansoury, Masoud. ""Understanding and mitigating multi-sided exposure bias in recommender systems" by Masoud Mansoury with Aparna S. Varde as coordinator". ACM SIGWEB Newsletter, Autumn (settembre 2022): 1–4. http://dx.doi.org/10.1145/3566100.3566103.
Bargh, Mortaza S., e Sunil Choenni. "Towards an Integrated Approach for Preserving Data Utility, Privacy and Fairness". 2018 International Conference on Multidisciplinary Research 2022 (30 dicembre 2022): 290–360. http://dx.doi.org/10.26803/myres.2022.24.
Agrawal, 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. 10 (24 marzo 2024): 10775–83. http://dx.doi.org/10.1609/aaai.v38i10.28950.
Ngcobo, 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. 2 (29 marzo 2024): 139–58. http://dx.doi.org/10.30958/ajbe.10-2-4.
Udoh, 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. II (2024): 74–103. http://dx.doi.org/10.51584/ijrias.2024.90209.
Villarreal, Dan. "Sociolinguistic auto-coding has fairness problems too: measuring and mitigating bias". Linguistics Vanguard, 12 marzo 2024. http://dx.doi.org/10.1515/lingvan-2022-0114.
Brown, 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. 1 (18 luglio 2023). http://dx.doi.org/10.1038/s41467-023-39902-7.
Deho, 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 aprile 2022. http://dx.doi.org/10.1111/bjet.13217.
Wan, 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 luglio 2022. http://dx.doi.org/10.1145/3551390.
Tsai, 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. 1 (10 maggio 2022). http://dx.doi.org/10.1038/s41746-022-00602-z.
Xie, 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 aprile 2024. http://dx.doi.org/10.1002/tee.24080.
Digumarthi, 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. 1 (10 maggio 2024). http://dx.doi.org/10.1186/s13018-024-04774-0.
Zhang, 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.
Colakovic, Ivona, e Sašo Karakatič. "Adaptive Boosting Method for Mitigating Ethnicity and Age Group Unfairness". SN Computer Science 5, n. 1 (15 novembre 2023). http://dx.doi.org/10.1007/s42979-023-02342-7.
Barnes, 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 dicembre 2020, 089590482098446. http://dx.doi.org/10.1177/0895904820984465.
Shin, 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 aprile 2021). http://dx.doi.org/10.1108/jsm-01-2020-0015.
Biewer, 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 aprile 2024. http://dx.doi.org/10.1007/s10703-024-00445-2.
Kelly, Christopher J., Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado e Dominic King. "Key challenges for delivering clinical impact with artificial intelligence". BMC Medicine 17, n. 1 (29 ottobre 2019). http://dx.doi.org/10.1186/s12916-019-1426-2.