Artykuły w czasopismach na temat „Bias mitigation”
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Erkmen, Cherie Parungo, Lauren Kane i David T. Cooke. "Bias Mitigation in Cardiothoracic Recruitment". Annals of Thoracic Surgery 111, nr 1 (styczeń 2021): 12–15. http://dx.doi.org/10.1016/j.athoracsur.2020.07.005.
Pełny tekst źródłaVejsbjerg, Inge, Elizabeth M. Daly, Rahul Nair i Svetoslav Nizhnichenkov. "Interactive Human-Centric Bias Mitigation". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 21 (24.03.2024): 23838–40. http://dx.doi.org/10.1609/aaai.v38i21.30582.
Pełny tekst źródłaDjebrouni, Yasmine, Nawel Benarba, Ousmane Touat, Pasquale De Rosa, Sara Bouchenak, Angela Bonifati, Pascal Felber, Vania Marangozova i Valerio Schiavoni. "Bias Mitigation in Federated Learning for Edge Computing". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, nr 4 (19.12.2023): 1–35. http://dx.doi.org/10.1145/3631455.
Pełny tekst źródłaGallaher, Joshua P., Alexander J. Kamrud i Brett J. Borghetti. "Detection and Mitigation of Inefficient Visual Searching". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, nr 1 (grudzień 2020): 47–51. http://dx.doi.org/10.1177/1071181320641015.
Pełny tekst źródłaRahmawati, Fitriana, i Fitri Santi. "A Literature Review on the Influence of Availability Bias and Overconfidence Bias on Investor Decisions". East Asian Journal of Multidisciplinary Research 2, nr 12 (30.12.2023): 4961–76. http://dx.doi.org/10.55927/eajmr.v2i12.6896.
Pełny tekst źródłaSingh, Richa, Puspita Majumdar, Surbhi Mittal i Mayank Vatsa. "Anatomizing Bias in Facial Analysis". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 11 (28.06.2022): 12351–58. http://dx.doi.org/10.1609/aaai.v36i11.21500.
Pełny tekst źródłaLee, Yu-Hao, Norah E. Dunbar, Claude H. Miller, Brianna L. Lane, Matthew L. Jensen, Elena Bessarabova, Judee K. Burgoon i in. "Training Anchoring and Representativeness Bias Mitigation Through a Digital Game". Simulation & Gaming 47, nr 6 (20.08.2016): 751–79. http://dx.doi.org/10.1177/1046878116662955.
Pełny tekst źródłaPatil, Pranita, i Kevin Purcell. "Decorrelation-Based Deep Learning for Bias Mitigation". Future Internet 14, nr 4 (29.03.2022): 110. http://dx.doi.org/10.3390/fi14040110.
Pełny tekst źródłaKim, Hyo-eun. "Fairness Criteria and Mitigation of AI Bias". Korean Journal of Psychology: General 40, nr 4 (25.12.2021): 459–85. http://dx.doi.org/10.22257/kjp.2021.12.40.4.459.
Pełny tekst źródłaPark, Souneil, Seungwoo Kang, Sangyoung Chung i Junehwa Song. "A Computational Framework for Media Bias Mitigation". ACM Transactions on Interactive Intelligent Systems 2, nr 2 (czerwiec 2012): 1–32. http://dx.doi.org/10.1145/2209310.2209311.
Pełny tekst źródłaHopkins, 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.
Pełny tekst źródłaHudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck i 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, nr 7 (15.07.2014): 1731–47. http://dx.doi.org/10.5194/nhess-14-1731-2014.
Pełny tekst źródłaHudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck i 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, nr 1 (22.01.2014): 681–723. http://dx.doi.org/10.5194/nhessd-2-681-2014.
Pełny tekst źródłaK. 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, nr 9 (30.10.2023): 776–81. http://dx.doi.org/10.17762/ijritcc.v11i9.8965.
Pełny tekst źródłaClegg, Benjamin A., Brian McKernan, Rosa M. Martey, Sarah M. Taylor, Jennifer Stromer-Galley, Kate Kenski, E. Tobi Saulnier i in. "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.
Pełny tekst źródłaCai, Zhenyu. "Quantum Error Mitigation using Symmetry Expansion". Quantum 5 (21.09.2021): 548. http://dx.doi.org/10.22331/q-2021-09-21-548.
Pełny tekst źródłaSiddique, Sunzida, Mohd Ariful Haque, Roy George, Kishor Datta Gupta, Debashis Gupta i Md Jobair Hossain Faruk. "Survey on Machine Learning Biases and Mitigation Techniques". Digital 4, nr 1 (20.12.2023): 1–68. http://dx.doi.org/10.3390/digital4010001.
Pełny tekst źródłaMosteiro, Pablo, Jesse Kuiper, Judith Masthoff, Floortje Scheepers i Marco Spruit. "Bias Discovery in Machine Learning Models for Mental Health". Information 13, nr 5 (5.05.2022): 237. http://dx.doi.org/10.3390/info13050237.
Pełny tekst źródłaDe Biasio, Francesco, i Stefano Zecchetto. "Tuning the Model Winds in Perspective of Operational Storm Surge Prediction in the Adriatic Sea". Journal of Marine Science and Engineering 11, nr 3 (3.03.2023): 544. http://dx.doi.org/10.3390/jmse11030544.
Pełny tekst źródłaPrater, James, Konstantinos Kirytopoulos i Tony Ma. "Optimism bias within the project management context". International Journal of Managing Projects in Business 10, nr 2 (4.04.2017): 370–85. http://dx.doi.org/10.1108/ijmpb-07-2016-0063.
Pełny tekst źródłaChu, Charlene, Simon Donato-Woodger, Shehroz Khan, Kathleen Leslie, Tianyu Shi, Rune Nyrup i Amanda Grenier. "STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW". Innovation in Aging 7, Supplement_1 (1.12.2023): 717–18. http://dx.doi.org/10.1093/geroni/igad104.2325.
Pełny tekst źródłaDunbar, Norah E., Matthew L. Jensen, Claude H. Miller, Elena Bessarabova, Yu-Hao Lee, Scott N. Wilson, Javier Elizondo i in. "Mitigation of Cognitive Bias with a Serious Game". International Journal of Game-Based Learning 7, nr 4 (październik 2017): 86–100. http://dx.doi.org/10.4018/ijgbl.2017100105.
Pełny tekst źródłaGuan, Maime, i Joachim Vandekerckhove. "A Bayesian approach to mitigation of publication bias". Psychonomic Bulletin & Review 23, nr 1 (1.07.2015): 74–86. http://dx.doi.org/10.3758/s13423-015-0868-6.
Pełny tekst źródłaDavison, Robert M. "Editorial - Cultural Bias in Reviews and Mitigation Options". Information Systems Journal 24, nr 6 (5.08.2014): 475–77. http://dx.doi.org/10.1111/isj.12046.
Pełny tekst źródłaKorzhenevych, I. P., i O. V. Gots. "THE MITIGATION STEERING BIAS CURVES FOR INDUSTRIAL TRANSPORT". Science and Transport Progress, nr 16 (25.06.2007): 26–28. http://dx.doi.org/10.15802/stp2007/17607.
Pełny tekst źródłaPenn, Jerrod M., Daniel R. Petrolia i J. Matthew Fannin. "Hypothetical bias mitigation in representative and convenience samples". Applied Economic Perspectives and Policy 45, nr 2 (18.05.2023): 721–43. http://dx.doi.org/10.1002/aepp.13374.
Pełny tekst źródłaLi, Xuesong, Dajun Sun i Zhongyi Cao. "Mitigation method of acoustic doppler velocity measurement bias". Ocean Engineering 306 (sierpień 2024): 118082. http://dx.doi.org/10.1016/j.oceaneng.2024.118082.
Pełny tekst źródłaKempf, Arlo, i Preeti Nayak. "Practicing Professional Discomfort as Self-Location: White Teacher Experiences With Race Bias Mitigation". Journal of the Canadian Association for Curriculum Studies 18, nr 1 (27.06.2020): 51–52. http://dx.doi.org/10.25071/1916-4467.40584.
Pełny tekst źródłaKohn, Rachel. "Eliminating Bias in Survival Estimation: Statistical Bias Mitigation Is the First Step Forward*". Critical Care Medicine 52, nr 3 (21.02.2024): 506–9. http://dx.doi.org/10.1097/ccm.0000000000006110.
Pełny tekst źródłaBulut, Solmaz, Mehdi Rostami, Shahla Shokatpour Lotfi, Naser Jafarzadeh, Sefa Bulut, Baidi Bukhori, Seyed Hadi Seyed Alitabar, Zohreh Zadhasn i Farzaneh Mardani. "The Impact of Counselor Bias in Assessment: A Comprehensive Review and Best Practices". Journal of Assessment and Research in Applied Counseling 5, nr 4 (2023): 89–103. http://dx.doi.org/10.61838/kman.jarac.5.4.11.
Pełny tekst źródłaNazer, Lama H., Razan Zatarah, Shai Waldrip, Janny Xue Chen Ke, Mira Moukheiber, Ashish K. Khanna, Rachel S. Hicklen i in. "Bias in artificial intelligence algorithms and recommendations for mitigation". PLOS Digital Health 2, nr 6 (22.06.2023): e0000278. http://dx.doi.org/10.1371/journal.pdig.0000278.
Pełny tekst źródłaSomasundaram, Ananthi, David Vállez García, Elisabeth Pfaehler, Joyce van Sluis, Rudi A. J. O. Dierckx, Elisabeth G. E. de Vries i Ronald Boellaard. "Mitigation of noise-induced bias of PET radiomic features". PLOS ONE 17, nr 8 (25.08.2022): e0272643. http://dx.doi.org/10.1371/journal.pone.0272643.
Pełny tekst źródłaBartley, Tanya, Rebecca O'Connor i Kenya Beard. "Should All Nurses Be Required to Complete Implicit Bias Training?" AJN, American Journal of Nursing 123, nr 11 (listopad 2023): 20–21. http://dx.doi.org/10.1097/01.naj.0000995336.31551.4e.
Pełny tekst źródłaSethi, Rahul, Vedang Ratan Vatsa i Parth Chhaparwal. "IDENTIFICATION AND MITIGATION OF ALGORITHMIC BIAS THROUGH POLICY INSTRUMENTS". International Journal of Advanced Research 8, nr 7 (31.07.2020): 1515–22. http://dx.doi.org/10.21474/ijar01/11418.
Pełny tekst źródłaAshokan, Ashwathy, i Christian Haas. "Fairness metrics and bias mitigation strategies for rating predictions". Information Processing & Management 58, nr 5 (wrzesień 2021): 102646. http://dx.doi.org/10.1016/j.ipm.2021.102646.
Pełny tekst źródłaFortunato, S., A. Flammini, F. Menczer i A. Vespignani. "Topical interests and the mitigation of search engine bias". Proceedings of the National Academy of Sciences 103, nr 34 (10.08.2006): 12684–89. http://dx.doi.org/10.1073/pnas.0605525103.
Pełny tekst źródłaRohbani, Nezam, Mojtaba Ebrahimi, Seyed-Ghassem Miremadi i Mehdi B. Tahoori. "Bias Temperature Instability Mitigation via Adaptive Cache Size Management". IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, nr 3 (marzec 2017): 1012–22. http://dx.doi.org/10.1109/tvlsi.2016.2606579.
Pełny tekst źródłaLi, Roger Zhe. "Metric Optimization and Mainstream Bias Mitigation in Recommender Systems". ACM SIGIR Forum 57, nr 2 (grudzień 2023): 1–2. http://dx.doi.org/10.1145/3642979.3643010.
Pełny tekst źródłaZhang, Chunxiao. "Exploration, detection, and mitigation: Unveiling gender bias in NLP". Applied and Computational Engineering 52, nr 1 (27.03.2024): 62–68. http://dx.doi.org/10.54254/2755-2721/52/20241234.
Pełny tekst źródłaAlshareef, Norah, Xiaohong Yuan, Kaushik Roy i Mustafa Atay. "A Study of Gender Bias in Face Presentation Attack and Its Mitigation". Future Internet 13, nr 9 (14.09.2021): 234. http://dx.doi.org/10.3390/fi13090234.
Pełny tekst źródłaChu, Charlene, Simon Donato-Woodger, Shehroz S. Khan, Tianyu Shi, Kathleen Leslie, Samira Abbasgholizadeh-Rahimi, Rune Nyrup i Amanda Grenier. "Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review". JMIR Aging 7 (22.03.2024): e53564. http://dx.doi.org/10.2196/53564.
Pełny tekst źródłaBlow, Christina Hastings, Lijun Qian, Camille Gibson, Pamela Obiomon i Xishuang Dong. "Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360". Applied Sciences 14, nr 9 (30.04.2024): 3826. http://dx.doi.org/10.3390/app14093826.
Pełny tekst źródłaFeatherston, Rebecca Jean, Aron Shlonsky, Courtney Lewis, My-Linh Luong, Laura E. Downie, Adam P. Vogel, Catherine Granger, Bridget Hamilton i Karyn Galvin. "Interventions to Mitigate Bias in Social Work Decision-Making: A Systematic Review". Research on Social Work Practice 29, nr 7 (23.12.2018): 741–52. http://dx.doi.org/10.1177/1049731518819160.
Pełny tekst źródłaVega-Gonzalo, María, i Panayotis Christidis. "Fair Models for Impartial Policies: Controlling Algorithmic Bias in Transport Behavioural Modelling". Sustainability 14, nr 14 (9.07.2022): 8416. http://dx.doi.org/10.3390/su14148416.
Pełny tekst źródłaKurmi, Vinod K., Rishabh Sharma, Yash Vardhan Sharma i Vinay P. Namboodiri. "Gradient Based Activations for Accurate Bias-Free Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 7 (28.06.2022): 7255–62. http://dx.doi.org/10.1609/aaai.v36i7.20687.
Pełny tekst źródłaLi, Yunyi, Maria De-Arteaga i 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, nr 1 (14.10.2022): 133–46. http://dx.doi.org/10.1609/hcomp.v10i1.21994.
Pełny tekst źródłaGill, Michael J., i 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, nr 1 (luty 2022): 55–87. http://dx.doi.org/10.1521/soco.2022.40.1.55.
Pełny tekst źródłaLi, Xiangchong, Yin Li i 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, nr 4 (9.02.2022): 4850–60. http://dx.doi.org/10.1093/mnras/stac342.
Pełny tekst źródłaZhang, Hengrui, Wei (Wayne) Chen, James M. Rondinelli i Wei Chen. "ET-AL: Entropy-targeted active learning for bias mitigation in materials data". Applied Physics Reviews 10, nr 2 (czerwiec 2023): 021403. http://dx.doi.org/10.1063/5.0138913.
Pełny tekst źródłaGaffney, Sean, i 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, nr 5 (maj 2024): e695. http://dx.doi.org/10.1016/j.jpainsymman.2024.02.165.
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