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ORCIDSIGKDD Explorations, Volume 23
Volume 23, Number 1, June 2021
- Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy
, Bodo Rosenhahn, Salvatore Ruggieri:
Introduction to The Special Section on Bias and Fairness in AI. 1-3 - Dietmar Hübner:
Two Kinds of Discrimination in AI-Based Penal Decision-Making. 4-13 - Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi:
On the Applicability of Machine Learning Fairness Notions. 14-23 - Eduard Fosch-Villaronga, Adam Poulsen, Roger Andre Søraa, B. H. M. Custers:
Gendering algorithms in social media. 24-31 - Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt:
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning. 32-41 - Cora van Leeuwen, Annelien Smets, An Jacobs, Pieter Ballon:
Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making. 42-49 - Tim Draws, Nava Tintarev, Ujwal Gadiraju:
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. 50-58
- Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. 59-68 - Hemank Lamba, Kit T. Rodolfa, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. 69-85 - Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu:
Adversarial Attacks and Defenses: An Interpretation Perspective. 86-99
Volume 23, Number 2, December 2021
- Shipeng Yu:
An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award. 1-2
- Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia:
Surf or sleep?: Understanding the influence of bedtime patterns on campus. 3-12 - Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal:
MetaLearning with Graph Neural Networks: Methods and Applications. 13-22
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