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- ACM Conference on Fairness, Accountability and Transparency (FAccT)
also: ACM Conference on Fairness, Accountability and Transparency (FAT*) - International Workshop on Equitable Data & Technology (FairWare)
also: International Workshop on Software Fairness - Algorithmic Fairness through the Lens of Time Workshop (AFT)
also: Algorithmic Fairness through the Lens of Causality and Privacy Workshop (AFCP)
also: Algorithmic Fairness through the Lens of Causality and Robustness Workshop (AFCR)
also: Algorithmic Fairness through the Lens of Causality and Interpretability Workshop (AFCI) - Workshop on Fairness and Bias in AI (AEQUITAS)
- European Workshop on Algorithmic Fairness (EWAF)
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Publication search results
found 8,602 matches
- 2024
- Leon Kellerhals:
Multivariate complexity analyses for algorithmic challenges in fairness and sustainability. Technical University of Berlin, Germany, 2024 - Sangwoo Hong, Youngseok Yoon, Hyungjun Joo, Jungwoo Lee:
GBMix: Enhancing Fairness by Group-Balanced Mixup. IEEE Access 12: 18877-18887 (2024) - Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi:
Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. IEEE Access 12: 47854-47867 (2024) - Aamir Rashid, Latif U. Khan, Naeem Khan, Hong Min, Ayaz Ahmad, Shabir Ahmad:
Resource-Optimized Vehicular Edge Networks With Fairness Constraints. IEEE Access 12: 67924-67934 (2024) - Muhammad Mujtaba Shaikh, Safia Amir Dahri, Khursheed Aurangzeb, Muhammad Afzal Soomro, Musaed A. Alhussein, Bharat Bhushan:
Optimizing Cellular Network Binary Rate and Fairness: Examination of a Two-Tier Hybrid Duplex Architecture Employing Full-Duplex and Half-Duplex Modes. IEEE Access 12: 13112-13124 (2024) - Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia:
Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation. IEEE Access 12: 1102-1116 (2024) - Giorgio Taricco:
Optimum Power Allocation for HARQ-Aided NOMA With Proportional Fairness on Fading Channels. IEEE Access 12: 2327-2339 (2024) - Xue Li, Xiaojuan Chen, Guohua Li:
Fairness-aware task offloading and load balancing with delay constraints for Power Internet of Things. Ad Hoc Networks 153: 103333 (2024) - Tim Räz:
Gerrymandering individual fairness. Artif. Intell. 326: 104035 (2024) - Avinash Agarwal, Harsh Agarwal:
A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle. AI Ethics 4(2): 299-314 (2024) - Sergio Genovesi, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann:
Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. AI Ethics 4(2): 537-553 (2024) - Thomas Grote:
Fairness as adequacy: a sociotechnical view on model evaluation in machine learning. AI Ethics 4(2): 427-440 (2024) - Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. AI Ethics 4(1): 83-93 (2024) - Bjørnar Vassøy, Helge Langseth:
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation. Artif. Intell. Rev. 57(4): 101 (2024) - Donghee Shin, Joon Soo Lim, Norita B. Ahmad, Mohammed Ibahrine:
Understanding user sensemaking in fairness and transparency in algorithms: algorithmic sensemaking in over-the-top platform. AI Soc. 39(2): 477-490 (2024) - Armin Soltan, Peter Washington:
Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning. Algorithms 17(4): 141 (2024) - Edward Abel, Sajid Siraj:
An approach to investigate fairness using Dominance-based Rough Sets Analysis - How fair were the COVID-19 restriction decisions in the UK? Appl. Soft Comput. 151: 111121 (2024) - Alveiro Alonso Rosado Gomez, Maritza Liliana Calderón-Benavides, Oscar Espinosa:
Data preprocessing to improve fairness in machine learning models: An application to the reintegration process of demobilized members of armed groups in Colombia. Appl. Soft Comput. 152: 111193 (2024) - Maryam Badar, Marco Fisichella:
Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization. Big Data Cogn. Comput. 8(2): 16 (2024) - Maarten Buyl, Tijl De Bie:
Inherent Limitations of AI Fairness. Commun. ACM 67(2): 48-55 (2024) - Manish Raghavan:
What Should We Do when Our Ideas of Fairness Conflict? Commun. ACM 67(1): 88-97 (2024) - Andreas Häuselmann, Bart Custers:
Substantive fairness in the GDPR: Fairness Elements for Article 5.1a GDPR. Comput. Law Secur. Rev. 52: 105942 (2024) - Holly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò-Larrieux:
Discrimination for the sake of fairness by design and its legal framework. Comput. Law Secur. Rev. 52: 105916 (2024) - Ibirisol F. Ferreira, Maycon Leone Maciel Peixoto, Gustavo Bittencourt Figueiredo:
Fairness-oriented multicast routing for distributed interactive applications. Comput. Commun. 219: 229-242 (2024) - Sachin Trankatwar, Prashant K. Wali:
Power allocation scheme for sum rate and fairness trade-off in downlink NOMA networks. Comput. Commun. 221: 78-89 (2024) - Marin Lujak, Alessio Salvatore, Alberto Fernández, Stefano Giordani, Kendal Cousy:
How to fairly and efficiently assign tasks in individually rational agents' coalitions? Models and fairness measures. Comput. Sci. Inf. Syst. 21(1): 269-289 (2024) - Kai Peng, Chengfang Ling, Bohai Zhao, Victor C. M. Leung:
A fairness-aware task offloading method in edge-enabled IIoT with multi-constraints using AGE-MOEA and weighted MMF. Concurr. Comput. Pract. Exp. 36(10) (2024) - Simon Caton, Christian Haas:
Fairness in Machine Learning: A Survey. ACM Comput. Surv. 56(7): 166:1-166:38 (2024) - Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu:
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56(2): 39:1-39:37 (2024) - Steven S. Chong, Mark Schildhauer, Margaret O'Brien, Bryce D. Mecum, Matthew B. Jones:
Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation. Data Sci. J. 23 (2024)
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