- Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu
, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24(1): 1-13 (2022) - 2021
- Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy
, Bodo Rosenhahn, Salvatore Ruggieri:
Introduction to The Special Section on Bias and Fairness in AI. SIGKDD Explor. 23(1): 1-3 (2021) - Pieter Delobelle, Paul Temple
, Gilles Perrouin
, Benoît Frénay
, Patrick Heymans, Bettina Berendt:
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning. SIGKDD Explor. 23(1): 32-41 (2021) - Tim Draws
, Nava Tintarev, Ujwal Gadiraju:
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. SIGKDD Explor. 23(1): 50-58 (2021) - Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia:
Surf or sleep?: Understanding the influence of bedtime patterns on campus. SIGKDD Explor. 23(2): 3-12 (2021) - Dietmar Hübner:
Two Kinds of Discrimination in AI-Based Penal Decision-Making. SIGKDD Explor. 23(1): 4-13 (2021) - Hemank Lamba, Kit T. Rodolfa
, Rayid Ghani:
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. SIGKDD Explor. 23(1): 69-85 (2021) - Cora van Leeuwen
, Annelien Smets
, An Jacobs
, Pieter Ballon
:
Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making. SIGKDD Explor. 23(1): 42-49 (2021) - Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu:
Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. 23(1): 86-99 (2021) - Karima Makhlouf, Sami Zhioua
, Catuscia Palamidessi:
On the Applicability of Machine Learning Fairness Notions. SIGKDD Explor. 23(1): 14-23 (2021) - Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal:
MetaLearning with Graph Neural Networks: Methods and Applications. SIGKDD Explor. 23(2): 13-22 (2021) - Eduard Fosch-Villaronga, Adam Poulsen
, Roger Andre Søraa, B. H. M. Custers:
Gendering algorithms in social media. SIGKDD Explor. 23(1): 24-31 (2021) - Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. SIGKDD Explor. 23(1): 59-68 (2021) - Shipeng Yu:
An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award. SIGKDD Explor. 23(2): 1-2 (2021) - 2020
- Charu Aggarwal:
An Interview with Dr. Charu Aggarwal, SIGKDD Innovation Award Winner. SIGKDD Explor. 22(1): 1-3 (2020) - Yi-Wei Chen, Qingquan Song, Xia Hu:
Techniques for Automated Machine Learning. SIGKDD Explor. 22(2): 35-50 (2020) - Emre Eftelioglu, Shashi Shekhar, James Hudson, Lucas Joppa, Chaitanya K. Baru, Vandana P. Janeja:
Data Science for Earth: An Earth Day Report. SIGKDD Explor. 22(1): 4-7 (2020) - Rajesh Gupta, Yan Liu:
KDD 2020 Highlights. SIGKDD Explor. 22(2): 1 (2020) - Wei Jin
, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. 22(2): 19-34 (2020) - Thorsten Joachims:
An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award. SIGKDD Explor. 22(2): 2-5 (2020) - Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. 22(1): 18-33 (2020) - Hamid Motahari, Nigel P. Duffy, Paul Bennett, Tania Bedrax-Weiss:
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. SIGKDD Explor. 22(2): 8-11 (2020) - Hua Wei
, Guanjie Zheng, Vikash V. Gayah, Zhenhui Li:
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation. SIGKDD Explor. 22(2): 12-18 (2020) - Michael Zeller:
An Interview with Dr. Michael Zeller, Winner of ACM SIGKDD 2020 Service Award. SIGKDD Explor. 22(2): 6-7 (2020) - Wenjun Zhou
, Taposh Dutta Roy, Iryna Skrypnyk:
The KDD Cup 2019 Report. SIGKDD Explor. 22(1): 8-17 (2020) - 2019
- Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash:
Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective. SIGKDD Explor. 21(2): 91-100 (2019) - Ignacio Arnaldo, Kalyan Veeramachaneni:
The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats. SIGKDD Explor. 21(2): 39-47 (2019) - Sophie Burkhardt, Stefan Kramer:
A Survey of Multi-Label Topic Models. SIGKDD Explor. 21(2): 61-79 (2019) - Hui Xiang Chua, Ee-Ling Chua, Kenneth Soo:
Budding Data Scientists Hackathon. SIGKDD Explor. 21(1): 38-40 (2019) - Rayid Ghani, Lisa Green, Alberto Bengoa, Mohak Shah:
Solve for Good: A Data Science for Social Good Marketplace. SIGKDD Explor. 21(2): 3-5 (2019)