Artículos de revistas sobre el tema "Bias mitigation"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Bias mitigation".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Erkmen, Cherie Parungo, Lauren Kane y David T. Cooke. "Bias Mitigation in Cardiothoracic Recruitment". Annals of Thoracic Surgery 111, n.º 1 (enero de 2021): 12–15. http://dx.doi.org/10.1016/j.athoracsur.2020.07.005.
Texto completoVejsbjerg, Inge, Elizabeth M. Daly, Rahul Nair y Svetoslav Nizhnichenkov. "Interactive Human-Centric Bias Mitigation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 21 (24 de marzo de 2024): 23838–40. http://dx.doi.org/10.1609/aaai.v38i21.30582.
Texto completoDjebrouni, Yasmine, Nawel Benarba, Ousmane Touat, Pasquale De Rosa, Sara Bouchenak, Angela Bonifati, Pascal Felber, Vania Marangozova y Valerio Schiavoni. "Bias Mitigation in Federated Learning for Edge Computing". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, n.º 4 (19 de diciembre de 2023): 1–35. http://dx.doi.org/10.1145/3631455.
Texto completoGallaher, Joshua P., Alexander J. Kamrud y Brett J. Borghetti. "Detection and Mitigation of Inefficient Visual Searching". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, n.º 1 (diciembre de 2020): 47–51. http://dx.doi.org/10.1177/1071181320641015.
Texto completoRahmawati, Fitriana y 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.º 12 (30 de diciembre de 2023): 4961–76. http://dx.doi.org/10.55927/eajmr.v2i12.6896.
Texto completoSingh, Richa, Puspita Majumdar, Surbhi Mittal y Mayank Vatsa. "Anatomizing Bias in Facial Analysis". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 11 (28 de junio de 2022): 12351–58. http://dx.doi.org/10.1609/aaai.v36i11.21500.
Texto completoLee, 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.º 6 (20 de agosto de 2016): 751–79. http://dx.doi.org/10.1177/1046878116662955.
Texto completoPatil, Pranita y Kevin Purcell. "Decorrelation-Based Deep Learning for Bias Mitigation". Future Internet 14, n.º 4 (29 de marzo de 2022): 110. http://dx.doi.org/10.3390/fi14040110.
Texto completoKim, Hyo-eun. "Fairness Criteria and Mitigation of AI Bias". Korean Journal of Psychology: General 40, n.º 4 (25 de diciembre de 2021): 459–85. http://dx.doi.org/10.22257/kjp.2021.12.40.4.459.
Texto completoPark, Souneil, Seungwoo Kang, Sangyoung Chung y Junehwa Song. "A Computational Framework for Media Bias Mitigation". ACM Transactions on Interactive Intelligent Systems 2, n.º 2 (junio de 2012): 1–32. http://dx.doi.org/10.1145/2209310.2209311.
Texto completoHopkins, 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.
Texto completoHudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck y 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.º 7 (15 de julio de 2014): 1731–47. http://dx.doi.org/10.5194/nhess-14-1731-2014.
Texto completoHudson, P., W. J. W. Botzen, H. Kreibich, P. Bubeck y 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.º 1 (22 de enero de 2014): 681–723. http://dx.doi.org/10.5194/nhessd-2-681-2014.
Texto completoK. 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.º 9 (30 de octubre de 2023): 776–81. http://dx.doi.org/10.17762/ijritcc.v11i9.8965.
Texto completoClegg, 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.
Texto completoCai, Zhenyu. "Quantum Error Mitigation using Symmetry Expansion". Quantum 5 (21 de septiembre de 2021): 548. http://dx.doi.org/10.22331/q-2021-09-21-548.
Texto completoSiddique, Sunzida, Mohd Ariful Haque, Roy George, Kishor Datta Gupta, Debashis Gupta y Md Jobair Hossain Faruk. "Survey on Machine Learning Biases and Mitigation Techniques". Digital 4, n.º 1 (20 de diciembre de 2023): 1–68. http://dx.doi.org/10.3390/digital4010001.
Texto completoMosteiro, Pablo, Jesse Kuiper, Judith Masthoff, Floortje Scheepers y Marco Spruit. "Bias Discovery in Machine Learning Models for Mental Health". Information 13, n.º 5 (5 de mayo de 2022): 237. http://dx.doi.org/10.3390/info13050237.
Texto completoDe Biasio, Francesco y 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.º 3 (3 de marzo de 2023): 544. http://dx.doi.org/10.3390/jmse11030544.
Texto completoPrater, James, Konstantinos Kirytopoulos y Tony Ma. "Optimism bias within the project management context". International Journal of Managing Projects in Business 10, n.º 2 (4 de abril de 2017): 370–85. http://dx.doi.org/10.1108/ijmpb-07-2016-0063.
Texto completoChu, Charlene, Simon Donato-Woodger, Shehroz Khan, Kathleen Leslie, Tianyu Shi, Rune Nyrup y Amanda Grenier. "STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW". Innovation in Aging 7, Supplement_1 (1 de diciembre de 2023): 717–18. http://dx.doi.org/10.1093/geroni/igad104.2325.
Texto completoDunbar, 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.º 4 (octubre de 2017): 86–100. http://dx.doi.org/10.4018/ijgbl.2017100105.
Texto completoGuan, Maime y Joachim Vandekerckhove. "A Bayesian approach to mitigation of publication bias". Psychonomic Bulletin & Review 23, n.º 1 (1 de julio de 2015): 74–86. http://dx.doi.org/10.3758/s13423-015-0868-6.
Texto completoDavison, Robert M. "Editorial - Cultural Bias in Reviews and Mitigation Options". Information Systems Journal 24, n.º 6 (5 de agosto de 2014): 475–77. http://dx.doi.org/10.1111/isj.12046.
Texto completoKorzhenevych, I. P. y O. V. Gots. "THE MITIGATION STEERING BIAS CURVES FOR INDUSTRIAL TRANSPORT". Science and Transport Progress, n.º 16 (25 de junio de 2007): 26–28. http://dx.doi.org/10.15802/stp2007/17607.
Texto completoPenn, Jerrod M., Daniel R. Petrolia y J. Matthew Fannin. "Hypothetical bias mitigation in representative and convenience samples". Applied Economic Perspectives and Policy 45, n.º 2 (18 de mayo de 2023): 721–43. http://dx.doi.org/10.1002/aepp.13374.
Texto completoLi, Xuesong, Dajun Sun y Zhongyi Cao. "Mitigation method of acoustic doppler velocity measurement bias". Ocean Engineering 306 (agosto de 2024): 118082. http://dx.doi.org/10.1016/j.oceaneng.2024.118082.
Texto completoKempf, Arlo y 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.º 1 (27 de junio de 2020): 51–52. http://dx.doi.org/10.25071/1916-4467.40584.
Texto completoKohn, Rachel. "Eliminating Bias in Survival Estimation: Statistical Bias Mitigation Is the First Step Forward*". Critical Care Medicine 52, n.º 3 (21 de febrero de 2024): 506–9. http://dx.doi.org/10.1097/ccm.0000000000006110.
Texto completoBulut, Solmaz, Mehdi Rostami, Shahla Shokatpour Lotfi, Naser Jafarzadeh, Sefa Bulut, Baidi Bukhori, Seyed Hadi Seyed Alitabar, Zohreh Zadhasn y 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.º 4 (2023): 89–103. http://dx.doi.org/10.61838/kman.jarac.5.4.11.
Texto completoNazer, 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.º 6 (22 de junio de 2023): e0000278. http://dx.doi.org/10.1371/journal.pdig.0000278.
Texto completoSomasundaram, Ananthi, David Vállez García, Elisabeth Pfaehler, Joyce van Sluis, Rudi A. J. O. Dierckx, Elisabeth G. E. de Vries y Ronald Boellaard. "Mitigation of noise-induced bias of PET radiomic features". PLOS ONE 17, n.º 8 (25 de agosto de 2022): e0272643. http://dx.doi.org/10.1371/journal.pone.0272643.
Texto completoBartley, Tanya, Rebecca O'Connor y Kenya Beard. "Should All Nurses Be Required to Complete Implicit Bias Training?" AJN, American Journal of Nursing 123, n.º 11 (noviembre de 2023): 20–21. http://dx.doi.org/10.1097/01.naj.0000995336.31551.4e.
Texto completoSethi, Rahul, Vedang Ratan Vatsa y Parth Chhaparwal. "IDENTIFICATION AND MITIGATION OF ALGORITHMIC BIAS THROUGH POLICY INSTRUMENTS". International Journal of Advanced Research 8, n.º 7 (31 de julio de 2020): 1515–22. http://dx.doi.org/10.21474/ijar01/11418.
Texto completoAshokan, Ashwathy y Christian Haas. "Fairness metrics and bias mitigation strategies for rating predictions". Information Processing & Management 58, n.º 5 (septiembre de 2021): 102646. http://dx.doi.org/10.1016/j.ipm.2021.102646.
Texto completoFortunato, S., A. Flammini, F. Menczer y A. Vespignani. "Topical interests and the mitigation of search engine bias". Proceedings of the National Academy of Sciences 103, n.º 34 (10 de agosto de 2006): 12684–89. http://dx.doi.org/10.1073/pnas.0605525103.
Texto completoRohbani, Nezam, Mojtaba Ebrahimi, Seyed-Ghassem Miremadi y Mehdi B. Tahoori. "Bias Temperature Instability Mitigation via Adaptive Cache Size Management". IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, n.º 3 (marzo de 2017): 1012–22. http://dx.doi.org/10.1109/tvlsi.2016.2606579.
Texto completoLi, Roger Zhe. "Metric Optimization and Mainstream Bias Mitigation in Recommender Systems". ACM SIGIR Forum 57, n.º 2 (diciembre de 2023): 1–2. http://dx.doi.org/10.1145/3642979.3643010.
Texto completoZhang, Chunxiao. "Exploration, detection, and mitigation: Unveiling gender bias in NLP". Applied and Computational Engineering 52, n.º 1 (27 de marzo de 2024): 62–68. http://dx.doi.org/10.54254/2755-2721/52/20241234.
Texto completoAlshareef, Norah, Xiaohong Yuan, Kaushik Roy y Mustafa Atay. "A Study of Gender Bias in Face Presentation Attack and Its Mitigation". Future Internet 13, n.º 9 (14 de septiembre de 2021): 234. http://dx.doi.org/10.3390/fi13090234.
Texto completoChu, Charlene, Simon Donato-Woodger, Shehroz S. Khan, Tianyu Shi, Kathleen Leslie, Samira Abbasgholizadeh-Rahimi, Rune Nyrup y Amanda Grenier. "Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review". JMIR Aging 7 (22 de marzo de 2024): e53564. http://dx.doi.org/10.2196/53564.
Texto completoBlow, Christina Hastings, Lijun Qian, Camille Gibson, Pamela Obiomon y Xishuang Dong. "Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360". Applied Sciences 14, n.º 9 (30 de abril de 2024): 3826. http://dx.doi.org/10.3390/app14093826.
Texto completoFeatherston, Rebecca Jean, Aron Shlonsky, Courtney Lewis, My-Linh Luong, Laura E. Downie, Adam P. Vogel, Catherine Granger, Bridget Hamilton y Karyn Galvin. "Interventions to Mitigate Bias in Social Work Decision-Making: A Systematic Review". Research on Social Work Practice 29, n.º 7 (23 de diciembre de 2018): 741–52. http://dx.doi.org/10.1177/1049731518819160.
Texto completoVega-Gonzalo, María y Panayotis Christidis. "Fair Models for Impartial Policies: Controlling Algorithmic Bias in Transport Behavioural Modelling". Sustainability 14, n.º 14 (9 de julio de 2022): 8416. http://dx.doi.org/10.3390/su14148416.
Texto completoKurmi, Vinod K., Rishabh Sharma, Yash Vardhan Sharma y Vinay P. Namboodiri. "Gradient Based Activations for Accurate Bias-Free Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7255–62. http://dx.doi.org/10.1609/aaai.v36i7.20687.
Texto completoLi, Yunyi, Maria De-Arteaga y 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.º 1 (14 de octubre de 2022): 133–46. http://dx.doi.org/10.1609/hcomp.v10i1.21994.
Texto completoGill, Michael J. y 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.º 1 (febrero de 2022): 55–87. http://dx.doi.org/10.1521/soco.2022.40.1.55.
Texto completoLi, Xiangchong, Yin Li y 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.º 4 (9 de febrero de 2022): 4850–60. http://dx.doi.org/10.1093/mnras/stac342.
Texto completoZhang, Hengrui, Wei (Wayne) Chen, James M. Rondinelli y Wei Chen. "ET-AL: Entropy-targeted active learning for bias mitigation in materials data". Applied Physics Reviews 10, n.º 2 (junio de 2023): 021403. http://dx.doi.org/10.1063/5.0138913.
Texto completoGaffney, Sean y 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.º 5 (mayo de 2024): e695. http://dx.doi.org/10.1016/j.jpainsymman.2024.02.165.
Texto completo