Journal articles on the topic 'Mitigation des biais'
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Philipps, Nathalia, Pierre P. Kastendeuch, and Georges Najjar. "Analyse de la variabilité spatio-temporelle de l’îlot de chaleur urbain à Strasbourg (France)." Climatologie 17 (2020): 10. http://dx.doi.org/10.1051/climat/202017010.
Rahmawati, Fitriana, and Fitri Santi. "A Literature Review on the Influence of Availability Bias and Overconfidence Bias on Investor Decisions." East Asian Journal of Multidisciplinary Research 2, no. 12 (December 30, 2023): 4961–76. http://dx.doi.org/10.55927/eajmr.v2i12.6896.
Djebrouni, Yasmine, Nawel Benarba, Ousmane Touat, Pasquale De Rosa, Sara Bouchenak, Angela Bonifati, Pascal Felber, Vania Marangozova, and Valerio Schiavoni. "Bias Mitigation in Federated Learning for Edge Computing." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 4 (December 19, 2023): 1–35. http://dx.doi.org/10.1145/3631455.
Gallaher, Joshua P., Alexander J. Kamrud, and Brett J. Borghetti. "Detection and Mitigation of Inefficient Visual Searching." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 47–51. http://dx.doi.org/10.1177/1071181320641015.
Lee, Yu-Hao, Norah E. Dunbar, Claude H. Miller, Brianna L. Lane, Matthew L. Jensen, Elena Bessarabova, Judee K. Burgoon, et al. "Training Anchoring and Representativeness Bias Mitigation Through a Digital Game." Simulation & Gaming 47, no. 6 (August 20, 2016): 751–79. http://dx.doi.org/10.1177/1046878116662955.
K. Devasenapathy, Arun Padmanabhan,. "Uncovering Bias: Exploring Machine Learning Techniques for Detecting and Mitigating Bias in Data – A Literature Review." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (October 30, 2023): 776–81. http://dx.doi.org/10.17762/ijritcc.v11i9.8965.
Chu, Charlene, Simon Donato-Woodger, Shehroz Khan, Kathleen Leslie, Tianyu Shi, Rune Nyrup, and Amanda Grenier. "STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW." Innovation in Aging 7, Supplement_1 (December 1, 2023): 717–18. http://dx.doi.org/10.1093/geroni/igad104.2325.
Featherston, Rebecca Jean, Aron Shlonsky, Courtney Lewis, My-Linh Luong, Laura E. Downie, Adam P. Vogel, Catherine Granger, Bridget Hamilton, and Karyn Galvin. "Interventions to Mitigate Bias in Social Work Decision-Making: A Systematic Review." Research on Social Work Practice 29, no. 7 (December 23, 2018): 741–52. http://dx.doi.org/10.1177/1049731518819160.
Erkmen, Cherie Parungo, Lauren Kane, and David T. Cooke. "Bias Mitigation in Cardiothoracic Recruitment." Annals of Thoracic Surgery 111, no. 1 (January 2021): 12–15. http://dx.doi.org/10.1016/j.athoracsur.2020.07.005.
Vejsbjerg, Inge, Elizabeth M. Daly, Rahul Nair, and Svetoslav Nizhnichenkov. "Interactive Human-Centric Bias Mitigation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (March 24, 2024): 23838–40. http://dx.doi.org/10.1609/aaai.v38i21.30582.
Bulut, Solmaz, Mehdi Rostami, Shahla Shokatpour Lotfi, Naser Jafarzadeh, Sefa Bulut, Baidi Bukhori, Seyed Hadi Seyed Alitabar, Zohreh Zadhasn, and Farzaneh Mardani. "The Impact of Counselor Bias in Assessment: A Comprehensive Review and Best Practices." Journal of Assessment and Research in Applied Counseling 5, no. 4 (2023): 89–103. http://dx.doi.org/10.61838/kman.jarac.5.4.11.
Sripathi, Madhavi. "Mitigating Data Bias in Healthcare AI: Strategies and Impact on Patient Outcomes." Journal of Advanced Research in Quality Control & Management 08, no. 02 (November 10, 2023): 01–05. http://dx.doi.org/10.24321/2582.3280.202302.
Singh, Richa, Puspita Majumdar, Surbhi Mittal, and Mayank Vatsa. "Anatomizing Bias in Facial Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 12351–58. http://dx.doi.org/10.1609/aaai.v36i11.21500.
Gill, Michael J., and Alexandra Pizzuto. "Unwilling to Un-Blame: Whites Who Dismiss Historical Causes of Societal Disparities Also Dismiss Personal Mitigating Information for Black Offenders." Social Cognition 40, no. 1 (February 2022): 55–87. http://dx.doi.org/10.1521/soco.2022.40.1.55.
Kurmi, Vinod K., Rishabh Sharma, Yash Vardhan Sharma, and Vinay P. Namboodiri. "Gradient Based Activations for Accurate Bias-Free Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7255–62. http://dx.doi.org/10.1609/aaai.v36i7.20687.
Chu, Charlene, Simon Donato-Woodger, Shehroz S. Khan, Tianyu Shi, Kathleen Leslie, Samira Abbasgholizadeh-Rahimi, Rune Nyrup, and Amanda Grenier. "Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review." JMIR Aging 7 (March 22, 2024): e53564. http://dx.doi.org/10.2196/53564.
Patil, Pranita, and Kevin Purcell. "Decorrelation-Based Deep Learning for Bias Mitigation." Future Internet 14, no. 4 (March 29, 2022): 110. http://dx.doi.org/10.3390/fi14040110.
Kim, Hyo-eun. "Fairness Criteria and Mitigation of AI Bias." Korean Journal of Psychology: General 40, no. 4 (December 25, 2021): 459–85. http://dx.doi.org/10.22257/kjp.2021.12.40.4.459.
Park, Souneil, Seungwoo Kang, Sangyoung Chung, and Junehwa Song. "A Computational Framework for Media Bias Mitigation." ACM Transactions on Interactive Intelligent Systems 2, no. 2 (June 2012): 1–32. http://dx.doi.org/10.1145/2209310.2209311.
Hopkins, Taylor. "Bias Mitigation: Identifying Barriers and Finding Solutions." Forensic Science International: Synergy 6 (2023): 100420. http://dx.doi.org/10.1016/j.fsisyn.2023.100420.
Rotenberg, Wendy. "Mitigation of U.S. Home Bias in the Valuation of Canadian Natural Resource Firms: Choice of Reporting and Transaction Currency." Multinational Finance Journal 17, no. 3/4 (December 1, 2013): 201–41. http://dx.doi.org/10.17578/17-3/4-4.
Hudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck, and J. C. J. H. Aerts. "Evaluating the effectiveness of flood damage mitigation measures by the application of propensity score matching." Natural Hazards and Earth System Sciences 14, no. 7 (July 15, 2014): 1731–47. http://dx.doi.org/10.5194/nhess-14-1731-2014.
Hudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck, and J. C. J. H. Aerts. "Evaluating the effectiveness of flood damage mitigation measures by the application of Propensity Score Matching." Natural Hazards and Earth System Sciences Discussions 2, no. 1 (January 22, 2014): 681–723. http://dx.doi.org/10.5194/nhessd-2-681-2014.
Cai, Zhenyu. "Quantum Error Mitigation using Symmetry Expansion." Quantum 5 (September 21, 2021): 548. http://dx.doi.org/10.22331/q-2021-09-21-548.
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.
Ande, Janaki Rama Phanendra Kumar. "AI-Powered Decentralized Recruitment System on the Blockchain." Global Disclosure of Economics and Business 10, no. 2 (August 1, 2021): 91–104. http://dx.doi.org/10.18034/gdeb.v10i2.734.
Christensen-Branum, Lezlie, Ashley Strong, and Cindy D'On Jones. "Mitigating Myside Bias in Argumentation." Journal of Adolescent & Adult Literacy 62, no. 4 (September 26, 2018): 435–45. http://dx.doi.org/10.1002/jaal.915.
Siddique, Sunzida, Mohd Ariful Haque, Roy George, Kishor Datta Gupta, Debashis Gupta, and Md Jobair Hossain Faruk. "Survey on Machine Learning Biases and Mitigation Techniques." Digital 4, no. 1 (December 20, 2023): 1–68. http://dx.doi.org/10.3390/digital4010001.
Dunbar, Norah E., Matthew L. Jensen, Claude H. Miller, Elena Bessarabova, Yu-Hao Lee, Scott N. Wilson, Javier Elizondo, et al. "Mitigation of Cognitive Bias with a Serious Game." International Journal of Game-Based Learning 7, no. 4 (October 2017): 86–100. http://dx.doi.org/10.4018/ijgbl.2017100105.
Guan, Maime, and Joachim Vandekerckhove. "A Bayesian approach to mitigation of publication bias." Psychonomic Bulletin & Review 23, no. 1 (July 1, 2015): 74–86. http://dx.doi.org/10.3758/s13423-015-0868-6.
Davison, Robert M. "Editorial - Cultural Bias in Reviews and Mitigation Options." Information Systems Journal 24, no. 6 (August 5, 2014): 475–77. http://dx.doi.org/10.1111/isj.12046.
Korzhenevych, I. P., and O. V. Gots. "THE MITIGATION STEERING BIAS CURVES FOR INDUSTRIAL TRANSPORT." Science and Transport Progress, no. 16 (June 25, 2007): 26–28. http://dx.doi.org/10.15802/stp2007/17607.
Penn, Jerrod M., Daniel R. Petrolia, and J. Matthew Fannin. "Hypothetical bias mitigation in representative and convenience samples." Applied Economic Perspectives and Policy 45, no. 2 (May 18, 2023): 721–43. http://dx.doi.org/10.1002/aepp.13374.
Li, Xuesong, Dajun Sun, and Zhongyi Cao. "Mitigation method of acoustic doppler velocity measurement bias." Ocean Engineering 306 (August 2024): 118082. http://dx.doi.org/10.1016/j.oceaneng.2024.118082.
Tjia, Jennifer, Michele Pugnaire, Joanne Calista, Ethan Eisdorfer, Janet Hale, Jill Terrien, Olga Valdman, et al. "Using Simulation-Based Learning with Standardized Patients (SP) in an Implicit Bias Mitigation Clinician Training Program." Journal of Medical Education and Curricular Development 10 (January 2023): 238212052311750. http://dx.doi.org/10.1177/23821205231175033.
Prater, James, Konstantinos Kirytopoulos, and Tony Ma. "Optimism bias within the project management context." International Journal of Managing Projects in Business 10, no. 2 (April 4, 2017): 370–85. http://dx.doi.org/10.1108/ijmpb-07-2016-0063.
Wagoner, Erika L., Eduardo Rozo, Xiao Fang, Martín Crocce, Jack Elvin-Poole, and Noah Weaverdyck. "Linear systematics mitigation in galaxy clustering in the Dark Energy Survey Year 1 Data." Monthly Notices of the Royal Astronomical Society 503, no. 3 (March 10, 2021): 4349–62. http://dx.doi.org/10.1093/mnras/stab717.
Frachtenberg, Eitan, and Kelly S. McConville. "Metrics and methods in the evaluation of prestige bias in peer review: A case study in computer systems conferences." PLOS ONE 17, no. 2 (February 25, 2022): e0264131. http://dx.doi.org/10.1371/journal.pone.0264131.
Clegg, Benjamin A., Brian McKernan, Rosa M. Martey, Sarah M. Taylor, Jennifer Stromer-Galley, Kate Kenski, E. Tobi Saulnier, et al. "Effective Mitigation of Anchoring Bias, Projection Bias, and Representativeness Bias from Serious Game-based Training." Procedia Manufacturing 3 (2015): 1558–65. http://dx.doi.org/10.1016/j.promfg.2015.07.438.
Mosteiro, Pablo, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, and Marco Spruit. "Bias Discovery in Machine Learning Models for Mental Health." Information 13, no. 5 (May 5, 2022): 237. http://dx.doi.org/10.3390/info13050237.
Kempf, Arlo, and Preeti Nayak. "Practicing Professional Discomfort as Self-Location: White Teacher Experiences With Race Bias Mitigation." Journal of the Canadian Association for Curriculum Studies 18, no. 1 (June 27, 2020): 51–52. http://dx.doi.org/10.25071/1916-4467.40584.
De Biasio, Francesco, and Stefano Zecchetto. "Tuning the Model Winds in Perspective of Operational Storm Surge Prediction in the Adriatic Sea." Journal of Marine Science and Engineering 11, no. 3 (March 3, 2023): 544. http://dx.doi.org/10.3390/jmse11030544.
Kohn, Rachel. "Eliminating Bias in Survival Estimation: Statistical Bias Mitigation Is the First Step Forward*." Critical Care Medicine 52, no. 3 (February 21, 2024): 506–9. http://dx.doi.org/10.1097/ccm.0000000000006110.
l, l., and l. l. "Mitigating Attentional Bias: The Impact of Perceived Social Self-Efficacy in Individuals with MMO Games Addiction Tendency." Korean Data Analysis Society 26, no. 1 (February 29, 2024): 15–33. http://dx.doi.org/10.37727/jkdas.2024.26.1.15.
Sethi, Rahul, Vedang Ratan Vatsa, and Parth Chhaparwal. "IDENTIFICATION AND MITIGATION OF ALGORITHMIC BIAS THROUGH POLICY INSTRUMENTS." International Journal of Advanced Research 8, no. 7 (July 31, 2020): 1515–22. http://dx.doi.org/10.21474/ijar01/11418.
Somasundaram, Ananthi, David Vállez García, Elisabeth Pfaehler, Joyce van Sluis, Rudi A. J. O. Dierckx, Elisabeth G. E. de Vries, and Ronald Boellaard. "Mitigation of noise-induced bias of PET radiomic features." PLOS ONE 17, no. 8 (August 25, 2022): e0272643. http://dx.doi.org/10.1371/journal.pone.0272643.
Ashokan, Ashwathy, and Christian Haas. "Fairness metrics and bias mitigation strategies for rating predictions." Information Processing & Management 58, no. 5 (September 2021): 102646. http://dx.doi.org/10.1016/j.ipm.2021.102646.
Fortunato, S., A. Flammini, F. Menczer, and A. Vespignani. "Topical interests and the mitigation of search engine bias." Proceedings of the National Academy of Sciences 103, no. 34 (August 10, 2006): 12684–89. http://dx.doi.org/10.1073/pnas.0605525103.
Rohbani, Nezam, Mojtaba Ebrahimi, Seyed-Ghassem Miremadi, and Mehdi B. Tahoori. "Bias Temperature Instability Mitigation via Adaptive Cache Size Management." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, no. 3 (March 2017): 1012–22. http://dx.doi.org/10.1109/tvlsi.2016.2606579.
Nazer, Lama H., Razan Zatarah, Shai Waldrip, Janny Xue Chen Ke, Mira Moukheiber, Ashish K. Khanna, Rachel S. Hicklen, et al. "Bias in artificial intelligence algorithms and recommendations for mitigation." PLOS Digital Health 2, no. 6 (June 22, 2023): e0000278. http://dx.doi.org/10.1371/journal.pdig.0000278.