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Likely matches
- 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 9,116 matches
- 2025
- Lili Deng, Rugen Wang, Ying Liao, Ronghua Xu, Cheng Wang:
The reputation-based reward mechanism promotes the evolution of fairness. Appl. Math. Comput. 486: 129042 (2025) - Yuhao Shen, Wei Xi, Yunyun Cai, Yuwei Fan, He Yang, Jizhong Zhao:
Multi-objective federated learning: Balancing global performance and individual fairness. Future Gener. Comput. Syst. 162: 107468 (2025) - 2024
- Tom Demeulemeester:
Fairness through randomization: an operations research perspective. Ghent University, Belgium, 2024 - Leon Kellerhals:
Multivariate complexity analyses for algorithmic challenges in fairness and sustainability. Technical University of Berlin, Germany, 2024 - Olga I. Gorbaneva, Guennady A. Ougolnitsky:
Game-Theoretic Analysis of the Interaction of Economic Agents in the Cournot Oligopoly with Consideration of the Linear Structure, the Green Effect and Fairness Concern. Autom. Remote. Control. 85(2) (2024) - Yusheng Ci, Bowen Wu, Lina Wu:
Relative Fairness Signal Optimization Considering Traffic Benefits for Different Types of Vehicles. IEEE Access 12: 90099-90111 (2024) - R. Dipinkrishnan, Vinoth Babu Kumaravelu:
Enhancing Sum Spectral Efficiency and Fairness in NOMA Systems: A Comparative Study of Metaheuristic Algorithms for Power Allocation. IEEE Access 12: 85165-85177 (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) - Md. Arafatur Rahman, Sze Wei Tan, A. Taufiq Asyhari, Ibnu Febry Kurniawan, Mohammed J. F. Alenazi, Mueen Uddin:
IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective. IEEE Access 12: 82693-82705 (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) - Hitomi Tamura, Daiki Nobayashi, Kenji Kawahara, Kazuya Tsukamoto:
Dynamic A-MPDU Adaptation Method for Airtime Fairness in Channel Bonding-Ready WLANs. IEEE Access 12: 87954-87966 (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) - Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah:
Class fairness in online matching. Artif. Intell. 335: 104177 (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) - Flavia Barsotti, Rüya Gökhan Koçer:
MinMax fairness: from Rawlsian Theory of Justice to solution for algorithmic bias. AI Soc. 39(3): 961-974 (2024) - Jon Rueda, Janet Delgado Rodríguez, Iris Parra Jounou, Joaquín Hortal-Carmona, Txetxu Ausín, David Rodríguez-Arias:
"Just" accuracy? Procedural fairness demands explainability in AI-based medical resource allocations. AI Soc. 39(3): 1411-1422 (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)
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