Articoli di riviste sul tema "Bias mitigation"
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Erkmen, Cherie Parungo, Lauren Kane e David T. Cooke. "Bias Mitigation in Cardiothoracic Recruitment". Annals of Thoracic Surgery 111, n. 1 (gennaio 2021): 12–15. http://dx.doi.org/10.1016/j.athoracsur.2020.07.005.
Vejsbjerg, Inge, Elizabeth M. Daly, Rahul Nair e Svetoslav Nizhnichenkov. "Interactive Human-Centric Bias Mitigation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 21 (24 marzo 2024): 23838–40. http://dx.doi.org/10.1609/aaai.v38i21.30582.
Djebrouni, Yasmine, Nawel Benarba, Ousmane Touat, Pasquale De Rosa, Sara Bouchenak, Angela Bonifati, Pascal Felber, Vania Marangozova e Valerio Schiavoni. "Bias Mitigation in Federated Learning for Edge Computing". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, n. 4 (19 dicembre 2023): 1–35. http://dx.doi.org/10.1145/3631455.
Gallaher, Joshua P., Alexander J. Kamrud e Brett J. Borghetti. "Detection and Mitigation of Inefficient Visual Searching". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, n. 1 (dicembre 2020): 47–51. http://dx.doi.org/10.1177/1071181320641015.
Rahmawati, Fitriana, e Fitri Santi. "A Literature Review on the Influence of Availability Bias and Overconfidence Bias on Investor Decisions". East Asian Journal of Multidisciplinary Research 2, n. 12 (30 dicembre 2023): 4961–76. http://dx.doi.org/10.55927/eajmr.v2i12.6896.
Singh, Richa, Puspita Majumdar, Surbhi Mittal e Mayank Vatsa. "Anatomizing Bias in Facial Analysis". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 11 (28 giugno 2022): 12351–58. http://dx.doi.org/10.1609/aaai.v36i11.21500.
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, n. 6 (20 agosto 2016): 751–79. http://dx.doi.org/10.1177/1046878116662955.
Patil, Pranita, e Kevin Purcell. "Decorrelation-Based Deep Learning for Bias Mitigation". Future Internet 14, n. 4 (29 marzo 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, n. 4 (25 dicembre 2021): 459–85. http://dx.doi.org/10.22257/kjp.2021.12.40.4.459.
Park, Souneil, Seungwoo Kang, Sangyoung Chung e Junehwa Song. "A Computational Framework for Media Bias Mitigation". ACM Transactions on Interactive Intelligent Systems 2, n. 2 (giugno 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.
Hudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck e 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, n. 7 (15 luglio 2014): 1731–47. http://dx.doi.org/10.5194/nhess-14-1731-2014.
Hudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck e 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, n. 1 (22 gennaio 2014): 681–723. http://dx.doi.org/10.5194/nhessd-2-681-2014.
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, n. 9 (30 ottobre 2023): 776–81. http://dx.doi.org/10.17762/ijritcc.v11i9.8965.
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.
Cai, Zhenyu. "Quantum Error Mitigation using Symmetry Expansion". Quantum 5 (21 settembre 2021): 548. http://dx.doi.org/10.22331/q-2021-09-21-548.
Siddique, Sunzida, Mohd Ariful Haque, Roy George, Kishor Datta Gupta, Debashis Gupta e Md Jobair Hossain Faruk. "Survey on Machine Learning Biases and Mitigation Techniques". Digital 4, n. 1 (20 dicembre 2023): 1–68. http://dx.doi.org/10.3390/digital4010001.
Mosteiro, Pablo, Jesse Kuiper, Judith Masthoff, Floortje Scheepers e Marco Spruit. "Bias Discovery in Machine Learning Models for Mental Health". Information 13, n. 5 (5 maggio 2022): 237. http://dx.doi.org/10.3390/info13050237.
De Biasio, Francesco, e Stefano Zecchetto. "Tuning the Model Winds in Perspective of Operational Storm Surge Prediction in the Adriatic Sea". Journal of Marine Science and Engineering 11, n. 3 (3 marzo 2023): 544. http://dx.doi.org/10.3390/jmse11030544.
Prater, James, Konstantinos Kirytopoulos e Tony Ma. "Optimism bias within the project management context". International Journal of Managing Projects in Business 10, n. 2 (4 aprile 2017): 370–85. http://dx.doi.org/10.1108/ijmpb-07-2016-0063.
Chu, Charlene, Simon Donato-Woodger, Shehroz Khan, Kathleen Leslie, Tianyu Shi, Rune Nyrup e Amanda Grenier. "STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW". Innovation in Aging 7, Supplement_1 (1 dicembre 2023): 717–18. http://dx.doi.org/10.1093/geroni/igad104.2325.
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, n. 4 (ottobre 2017): 86–100. http://dx.doi.org/10.4018/ijgbl.2017100105.
Guan, Maime, e Joachim Vandekerckhove. "A Bayesian approach to mitigation of publication bias". Psychonomic Bulletin & Review 23, n. 1 (1 luglio 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, n. 6 (5 agosto 2014): 475–77. http://dx.doi.org/10.1111/isj.12046.
Korzhenevych, I. P., e O. V. Gots. "THE MITIGATION STEERING BIAS CURVES FOR INDUSTRIAL TRANSPORT". Science and Transport Progress, n. 16 (25 giugno 2007): 26–28. http://dx.doi.org/10.15802/stp2007/17607.
Penn, Jerrod M., Daniel R. Petrolia e J. Matthew Fannin. "Hypothetical bias mitigation in representative and convenience samples". Applied Economic Perspectives and Policy 45, n. 2 (18 maggio 2023): 721–43. http://dx.doi.org/10.1002/aepp.13374.
Li, Xuesong, Dajun Sun e Zhongyi Cao. "Mitigation method of acoustic doppler velocity measurement bias". Ocean Engineering 306 (agosto 2024): 118082. http://dx.doi.org/10.1016/j.oceaneng.2024.118082.
Kempf, Arlo, e Preeti Nayak. "Practicing Professional Discomfort as Self-Location: White Teacher Experiences With Race Bias Mitigation". Journal of the Canadian Association for Curriculum Studies 18, n. 1 (27 giugno 2020): 51–52. http://dx.doi.org/10.25071/1916-4467.40584.
Kohn, Rachel. "Eliminating Bias in Survival Estimation: Statistical Bias Mitigation Is the First Step Forward*". Critical Care Medicine 52, n. 3 (21 febbraio 2024): 506–9. http://dx.doi.org/10.1097/ccm.0000000000006110.
Bulut, Solmaz, Mehdi Rostami, Shahla Shokatpour Lotfi, Naser Jafarzadeh, Sefa Bulut, Baidi Bukhori, Seyed Hadi Seyed Alitabar, Zohreh Zadhasn e Farzaneh Mardani. "The Impact of Counselor Bias in Assessment: A Comprehensive Review and Best Practices". Journal of Assessment and Research in Applied Counseling 5, n. 4 (2023): 89–103. http://dx.doi.org/10.61838/kman.jarac.5.4.11.
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, n. 6 (22 giugno 2023): e0000278. http://dx.doi.org/10.1371/journal.pdig.0000278.
Somasundaram, Ananthi, David Vállez García, Elisabeth Pfaehler, Joyce van Sluis, Rudi A. J. O. Dierckx, Elisabeth G. E. de Vries e Ronald Boellaard. "Mitigation of noise-induced bias of PET radiomic features". PLOS ONE 17, n. 8 (25 agosto 2022): e0272643. http://dx.doi.org/10.1371/journal.pone.0272643.
Bartley, Tanya, Rebecca O'Connor e Kenya Beard. "Should All Nurses Be Required to Complete Implicit Bias Training?" AJN, American Journal of Nursing 123, n. 11 (novembre 2023): 20–21. http://dx.doi.org/10.1097/01.naj.0000995336.31551.4e.
Sethi, Rahul, Vedang Ratan Vatsa e Parth Chhaparwal. "IDENTIFICATION AND MITIGATION OF ALGORITHMIC BIAS THROUGH POLICY INSTRUMENTS". International Journal of Advanced Research 8, n. 7 (31 luglio 2020): 1515–22. http://dx.doi.org/10.21474/ijar01/11418.
Ashokan, Ashwathy, e Christian Haas. "Fairness metrics and bias mitigation strategies for rating predictions". Information Processing & Management 58, n. 5 (settembre 2021): 102646. http://dx.doi.org/10.1016/j.ipm.2021.102646.
Fortunato, S., A. Flammini, F. Menczer e A. Vespignani. "Topical interests and the mitigation of search engine bias". Proceedings of the National Academy of Sciences 103, n. 34 (10 agosto 2006): 12684–89. http://dx.doi.org/10.1073/pnas.0605525103.
Rohbani, Nezam, Mojtaba Ebrahimi, Seyed-Ghassem Miremadi e Mehdi B. Tahoori. "Bias Temperature Instability Mitigation via Adaptive Cache Size Management". IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, n. 3 (marzo 2017): 1012–22. http://dx.doi.org/10.1109/tvlsi.2016.2606579.
Li, Roger Zhe. "Metric Optimization and Mainstream Bias Mitigation in Recommender Systems". ACM SIGIR Forum 57, n. 2 (dicembre 2023): 1–2. http://dx.doi.org/10.1145/3642979.3643010.
Zhang, Chunxiao. "Exploration, detection, and mitigation: Unveiling gender bias in NLP". Applied and Computational Engineering 52, n. 1 (27 marzo 2024): 62–68. http://dx.doi.org/10.54254/2755-2721/52/20241234.
Alshareef, Norah, Xiaohong Yuan, Kaushik Roy e Mustafa Atay. "A Study of Gender Bias in Face Presentation Attack and Its Mitigation". Future Internet 13, n. 9 (14 settembre 2021): 234. http://dx.doi.org/10.3390/fi13090234.
Chu, Charlene, Simon Donato-Woodger, Shehroz S. Khan, Tianyu Shi, Kathleen Leslie, Samira Abbasgholizadeh-Rahimi, Rune Nyrup e Amanda Grenier. "Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review". JMIR Aging 7 (22 marzo 2024): e53564. http://dx.doi.org/10.2196/53564.
Blow, Christina Hastings, Lijun Qian, Camille Gibson, Pamela Obiomon e Xishuang Dong. "Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360". Applied Sciences 14, n. 9 (30 aprile 2024): 3826. http://dx.doi.org/10.3390/app14093826.
Featherston, Rebecca Jean, Aron Shlonsky, Courtney Lewis, My-Linh Luong, Laura E. Downie, Adam P. Vogel, Catherine Granger, Bridget Hamilton e Karyn Galvin. "Interventions to Mitigate Bias in Social Work Decision-Making: A Systematic Review". Research on Social Work Practice 29, n. 7 (23 dicembre 2018): 741–52. http://dx.doi.org/10.1177/1049731518819160.
Vega-Gonzalo, María, e Panayotis Christidis. "Fair Models for Impartial Policies: Controlling Algorithmic Bias in Transport Behavioural Modelling". Sustainability 14, n. 14 (9 luglio 2022): 8416. http://dx.doi.org/10.3390/su14148416.
Kurmi, Vinod K., Rishabh Sharma, Yash Vardhan Sharma e Vinay P. Namboodiri. "Gradient Based Activations for Accurate Bias-Free Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 7 (28 giugno 2022): 7255–62. http://dx.doi.org/10.1609/aaai.v36i7.20687.
Li, Yunyi, Maria De-Arteaga e Maytal Saar-Tsechansky. "When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10, n. 1 (14 ottobre 2022): 133–46. http://dx.doi.org/10.1609/hcomp.v10i1.21994.
Gill, Michael J., e 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, n. 1 (febbraio 2022): 55–87. http://dx.doi.org/10.1521/soco.2022.40.1.55.
Li, Xiangchong, Yin Li e Richard Massey. "Weak gravitational lensing shear measurement with FPFS: analytical mitigation of noise bias and selection bias". Monthly Notices of the Royal Astronomical Society 511, n. 4 (9 febbraio 2022): 4850–60. http://dx.doi.org/10.1093/mnras/stac342.
Zhang, Hengrui, Wei (Wayne) Chen, James M. Rondinelli e Wei Chen. "ET-AL: Entropy-targeted active learning for bias mitigation in materials data". Applied Physics Reviews 10, n. 2 (giugno 2023): 021403. http://dx.doi.org/10.1063/5.0138913.
Gaffney, Sean, e Vineeta Rao. "Reducing Bias in Opioid Risk Mitigation: Piloting a Pharmacy-Led Mitigation Strategy in Oncology Palliative Care". Journal of Pain and Symptom Management 67, n. 5 (maggio 2024): e695. http://dx.doi.org/10.1016/j.jpainsymman.2024.02.165.