Journal articles on the topic 'Unfairness mitigation'
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Balayn, Agathe, Christoph Lofi, and 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, no. 5 (May 5, 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, no. 1 (January 13, 2023): 15. http://dx.doi.org/10.3390/bdcc7010015.
Abdullah, Nurhidayah, and 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, no. 1 (January 18, 2023): 141–60. http://dx.doi.org/10.32890/uumjls2023.14.1.6.
Menziwa, Yolanda, Eunice Lebogang Sesale, and Solly Matshonisa Seeletse. "Challenges in research data collection and mitigation interventions." International Journal of Research in Business and Social Science (2147- 4478) 13, no. 2 (April 3, 2024): 336–44. http://dx.doi.org/10.20525/ijrbs.v13i2.3187.
Rana, Saadia Afzal, Zati Hakim Azizul, and Ali Afzal Awan. "A step toward building a unified framework for managing AI bias." PeerJ Computer Science 9 (October 26, 2023): e1630. http://dx.doi.org/10.7717/peerj-cs.1630.
Latif, Aadil, Wolfgang Gawlik, and Peter Palensky. "Quantification and Mitigation of Unfairness in Active Power Curtailment of Rooftop Photovoltaic Systems Using Sensitivity Based Coordinated Control." Energies 9, no. 6 (June 4, 2016): 436. http://dx.doi.org/10.3390/en9060436.
Yang, Zhenhuan, Yan Lok Ko, Kush R. Varshney, and Yiming Ying. "Minimax AUC Fairness: Efficient Algorithm with Provable Convergence." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 10 (June 26, 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 (September 21, 2020): 23–32. http://dx.doi.org/10.3329/iiucs.v15i0.49342.
Qi, Jin. "Mitigating Delays and Unfairness in Appointment Systems." Management Science 63, no. 2 (February 2017): 566–83. http://dx.doi.org/10.1287/mnsc.2015.2353.
Lehrieder, Frank, Simon Oechsner, Tobias Hoßfeld, Dirk Staehle, Zoran Despotovic, Wolfgang Kellerer, and Maximilian Michel. "Mitigating unfairness in locality-aware peer-to-peer networks." International Journal of Network Management 21, no. 1 (January 2011): 3–20. http://dx.doi.org/10.1002/nem.772.
Mao, Runze, Wenqi Fan, and Qing Li. "GCARe: Mitigating Subgroup Unfairness in Graph Condensation through Adversarial Regularization." Applied Sciences 13, no. 16 (August 11, 2023): 9166. http://dx.doi.org/10.3390/app13169166.
Mahmud, Md Sultan, and Md Forkan Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference." International Journal of Mobile Communications 16, no. 3 (2018): 307. http://dx.doi.org/10.1504/ijmc.2018.091385.
Mahmud, Md Sultan, and Md Forkean Uddin. "Mitigating unfairness problem in WLANs caused by asymmetric co-channel interference." International Journal of Mobile Communications 16, no. 1 (2018): 1. http://dx.doi.org/10.1504/ijmc.2018.10004556.
Bejerano, Yigal, Seung-Jae Han, and Mark Smith. "A novel frequency planning algorithm for mitigating unfairness in wireless LANs." Computer Networks 54, no. 15 (October 2010): 2575–90. http://dx.doi.org/10.1016/j.comnet.2010.04.009.
Wang, Wei, Ben Leong, and Wei Tsang Ooi. "Mitigating Unfairness Due to Physical Layer Capture in Practical 802.11 Mesh Networks." IEEE Transactions on Mobile Computing 14, no. 1 (January 1, 2015): 99–112. http://dx.doi.org/10.1109/tmc.2014.2315796.
Wu, Yinghui, Hai Yang, Shuo Zhao, and Pan Shang. "Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach." Transportation Research Part B: Methodological 149 (July 2021): 418–42. http://dx.doi.org/10.1016/j.trb.2021.04.014.
Zhang, Wenbin, Tina Hernandez-Boussard, and Jeremy Weiss. "Censored Fairness through Awareness." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (June 26, 2023): 14611–19. http://dx.doi.org/10.1609/aaai.v37i12.26708.
Pade, Robin, and Sven Feurer. "The mitigating role of nostalgia for consumer price unfairness perceptions in response to disadvantageous personalized pricing." Journal of Business Research 145 (June 2022): 277–87. http://dx.doi.org/10.1016/j.jbusres.2022.02.057.
Safdari, Fash, and Anatoliy Gorbenko. "Theoretical and experimental study of performance anomaly in multi-rate IEEE802.11ac wireless networks." Radioelectronic and Computer Systems, no. 4 (November 29, 2022): 85–97. http://dx.doi.org/10.32620/reks.2022.4.06.
Delobelle, Pieter, Paul Temple, Gilles Perrouin, Benoit Frénay, Patrick Heymans, and Bettina Berendt. "Ethical Adversaries." ACM SIGKDD Explorations Newsletter 23, no. 1 (May 26, 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 (September 2022): 1–4. http://dx.doi.org/10.1145/3566100.3566103.
Bargh, Mortaza S., and Sunil Choenni. "Towards an Integrated Approach for Preserving Data Utility, Privacy and Fairness." 2018 International Conference on Multidisciplinary Research 2022 (December 30, 2022): 290–360. http://dx.doi.org/10.26803/myres.2022.24.
Agrawal, Nimesh, Anuj Kumar Sirohi, Sandeep Kumar, and Jayadeva. "No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (March 24, 2024): 10775–83. http://dx.doi.org/10.1609/aaai.v38i10.28950.
Ngcobo, Senzo, and Colin D. Reddy. "Exploring the Link between Organisational Performance Pressures and the Factors that Compromise Ethical Leadership." Athens Journal of Business & Economics 10, no. 2 (March 29, 2024): 139–58. http://dx.doi.org/10.30958/ajbe.10-2-4.
Udoh, I. J., and 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, no. 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, March 12, 2024. http://dx.doi.org/10.1515/lingvan-2022-0114.
Brown, Alexander, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, and Jessica Schrouff. "Detecting shortcut learning for fair medical AI using shortcut testing." Nature Communications 14, no. 1 (July 18, 2023). http://dx.doi.org/10.1038/s41467-023-39902-7.
Deho, Oscar Blessed, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, and Thuc Duy Le. "How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?" British Journal of Educational Technology, April 12, 2022. http://dx.doi.org/10.1111/bjet.13217.
Wan, Mingyang, Daochen Zha, Ninghao Liu, and Na Zou. "In-Processing Modeling Techniques for Machine Learning Fairness: A Survey." ACM Transactions on Knowledge Discovery from Data, July 30, 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, and Tomas Pfister. "Algorithmic fairness in pandemic forecasting: lessons from COVID-19." npj Digital Medicine 5, no. 1 (May 10, 2022). http://dx.doi.org/10.1038/s41746-022-00602-z.
Xie, Shanghong, Akihisa Kaneko, and Yasuhiro Hayashi. "A Decentralized Voltage Regulation Scheme Using Improved Volt‐Var Function of PV Smart Inverter." IEEJ Transactions on Electrical and Electronic Engineering, April 11, 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, and 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, no. 1 (May 10, 2024). http://dx.doi.org/10.1186/s13018-024-04774-0.
Zhang, Qingquan, Jialin Liu, Zeqi Zhang, Junyi Wen, Bifei Mao, and 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, and Sašo Karakatič. "Adaptive Boosting Method for Mitigating Ethnicity and Age Group Unfairness." SN Computer Science 5, no. 1 (November 15, 2023). http://dx.doi.org/10.1007/s42979-023-02342-7.
Barnes, Malerie Beth, and 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, December 29, 2020, 089590482098446. http://dx.doi.org/10.1177/0895904820984465.
Shin, Hyunju, and Riza Casidy. "Use it or lose it: point expiration and status demotion." Journal of Services Marketing ahead-of-print, ahead-of-print (April 6, 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, and Franz Lehr. "Software doping analysis for human oversight." Formal Methods in System Design, April 4, 2024. http://dx.doi.org/10.1007/s10703-024-00445-2.
Kelly, Christopher J., Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, and Dominic King. "Key challenges for delivering clinical impact with artificial intelligence." BMC Medicine 17, no. 1 (October 29, 2019). http://dx.doi.org/10.1186/s12916-019-1426-2.