Academic literature on the topic 'Bias mitigation techniques'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Bias mitigation techniques.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Bias mitigation techniques"
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 (2020): 47–51. http://dx.doi.org/10.1177/1071181320641015.
Full textSiddique, 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 (2023): 1–68. http://dx.doi.org/10.3390/digital4010001.
Full textK. 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 (2023): 776–81. http://dx.doi.org/10.17762/ijritcc.v11i9.8965.
Full textPasupuleti, Murali Krishna. "Bias and Fairness in Large Language Models: Evaluation and Mitigation Techniques." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 05 (2025): 442–51. https://doi.org/10.62311/nesx/rphcr6.
Full textWongvorachan, Tarid, Okan Bulut, Joyce Xinle Liu, and Elisabetta Mazzullo. "A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning." Information 15, no. 6 (2024): 326. http://dx.doi.org/10.3390/info15060326.
Full textDjebrouni, Yasmine, Nawel Benarba, Ousmane Touat, et al. "Bias Mitigation in Federated Learning for Edge Computing." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 4 (2023): 1–35. http://dx.doi.org/10.1145/3631455.
Full textMcDaniel, Gail. "Understanding and Mitigating Bias and Noise in Data Collection, Imputation and Analysis." International Multidisciplinary Journal of Science, Technology and Business Volume 04, no. 01 (2025): 1–29. https://doi.org/10.5281/zenodo.15004631.
Full textTripathi, Manish, and Raghav Agarwal. "Bias Mitigation in NLP: Automated Detection and Correction." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 5 (2025): 45–60. https://doi.org/10.63345/ijrmeet.org.v13.i5.130503.
Full textHarshila, Gujar. "Addressing Unconscious Bias: Tools and Techniques to Mitigate Bias in the Workplace." Journal of Scientific and Engineering Research 11, no. 4 (2024): 351–54. https://doi.org/10.5281/zenodo.13604160.
Full textV S, Aswathy, Nandini Padmakumar, and Liji Thomas P. "Fairness in Predictive Modeling: Addressing Gender Bias in Income Prediction through Bias Mitigation Techniques." Indian Journal of Computer Science and Engineering 15, no. 6 (2024): 450–56. https://doi.org/10.21817/indjcse/2024/v15i6/241506010.
Full textDissertations / Theses on the topic "Bias mitigation techniques"
Salomon, Sophie. "Bias Mitigation Techniques and a Cost-Aware Framework for Boosted Ranking Algorithms." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586450345426827.
Full textBook chapters on the topic "Bias mitigation techniques"
da Silva, Mickaelle Caldeira, Marcelo Fantinato, and Sarajane Marques Peres. "Towards Fairness-Aware Predictive Process Monitoring: Evaluating Bias Mitigation Techniques." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81375-7_9.
Full textPrerak, Shah. "Enhanced prompts for ethical representation: Bias mitigation in text-to-image generation models." In Intelligent Computing and Communication Techniques. CRC Press, 2025. https://doi.org/10.1201/9781003635680-18.
Full textLidén, Moa. "Overall Summary and Conclusion." In Confirmation Bias in Criminal Cases. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780192867643.003.0005.
Full textKasyap, Harsh, Ugur Ilker Atmaca, Michela Iezzi, Toby Walsh, and Carsten Maple. "Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240589.
Full textAldosari, Bakheet, and Abdullah Alanazi. "Pitfalls of Artificial Intelligence in Medicine." In Studies in Health Technology and Informatics. IOS Press, 2024. http://dx.doi.org/10.3233/shti240474.
Full textLidén, Moa. "The ‘Human Factor’ in Criminal Cases." In Confirmation Bias in Criminal Cases. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780192867643.003.0001.
Full textPrater, James, Konstantinos Kirytopoulos, and Tony Ma. "Dilbert Moments." In Research Anthology on Agile Software, Software Development, and Testing. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3702-5.ch095.
Full textKunduru, Krishnamohan Reddy, Yagya Dutta Dwivedi, R. Aruna, G. R. Thippeswamy, Subramanian Selvakumar, and M. Sudhakar. "Elevating Performance for Enhancing AI-Powered Humanoid Robots Through Innovation." In Applied AI and Humanoid Robotics for the Ultra-Smart Cyberspace. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2399-1.ch004.
Full textSamuthira Pandi, V., M. Kavitha, and Vijaya Vardan Reddy S P. "Exploration of supervised and unsupervised learning techniques applied to prosthetic device functionality." In The Role of Artificial Intelligence in Advanced Prosthetics and Implantable Devices. RADemics Research Institute, 2025. https://doi.org/10.71443/9789349552975-02.
Full textAldosari, Bakheet, Hanan Aldosari, and Abdullah Alanazi. "Challenges of Artificial Intelligence in Medicine." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250039.
Full textConference papers on the topic "Bias mitigation techniques"
Akhter, Farheen, Nabeel Alzahrani, and Khalil Dajani. "Bias Mitigation in Deep Learning: A Survey of Modern Techniques." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00105.
Full textDeokar, Ruchira, Preethi Nanjundan, and Sachi Nandan Mohanty. "Transparency in Translation: A Deep Dive into Explainable AI Techniques for Bias Mitigation." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT). IEEE, 2024. http://dx.doi.org/10.1109/apcit62007.2024.10673712.
Full textBoughareb, Djalila, Hana Bordjiba, Rima Boughareb, and Hamid Seridi. "Bias Mitigation in Medical Datasets: Enhancing GBM and KNN Predictive Models with SMOTE Techniques." In 2024 2nd International Conference on Computing and Data Analytics (ICCDA). IEEE, 2024. https://doi.org/10.1109/iccda64887.2024.10867315.
Full textGarimella, Aparna, Rada Mihalcea, and Akhash Amarnath. "Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique." In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.aacl-short.38.
Full textSidana, Sagar, Sujata Negi Thakur, Sandeep Kumar, et al. "Mitigating Racial Bias in Facial Expression Recognition Using Enhanced Data Diversification Techniques." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723863.
Full textSokolová, Zuzana, Maroš Harahus, Ján Staš, et al. "Measuring and Mitigating Stereotype Bias in Language Models: An Overview of Debiasing Techniques." In 2024 International Symposium ELMAR. IEEE, 2024. http://dx.doi.org/10.1109/elmar62909.2024.10694175.
Full textSingh, Aarushi, Akshita Goel, Jyotika Jaichand, Vaishali Kikan, and Ashwni Kumar. "Algorithms for Fair Hiring: A Review of Techniques for Detecting and Mitigating Bias." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10867161.
Full textPatrikar, Ajay M., Arjuna Mahenthiran, and Ahmad Said. "Leveraging synthetic data for AI bias mitigation." In Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, edited by Kimberly E. Manser, Raghuveer M. Rao, and Christopher L. Howell. SPIE, 2023. http://dx.doi.org/10.1117/12.2662276.
Full textShrestha, Robik, Kushal Kafle, and Christopher Kanan. "An Investigation of Critical Issues in Bias Mitigation Techniques." In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2022. http://dx.doi.org/10.1109/wacv51458.2022.00257.
Full textCalegari, Roberta, Gabriel G. Castañé, Michela Milano, and Barry O'Sullivan. "Assessing and Enforcing Fairness in the AI Lifecycle." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/735.
Full textReports on the topic "Bias mitigation techniques"
Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.
Full textEslava, Marcela, Alessandro Maffioli, and Marcela Meléndez Arjona. Second-tier Government Banks and Access to Credit: Micro-Evidence from Colombia. Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0011364.
Full text