June 2022, Volume 24, Issue 1
- The Need for Interpretable Features: Motivation and Taxonomy [1]
- Text Style Transfer: A Review and Experimental Evaluation [14]
- Report on the Malawi Data Science Bootcamp 2021 [46]
- Report on the 1st International Workshop on Learning to Quantify (LQ 2021) [49]
- Diversity and Inclusion Activities in EGC – A 2022 Report [52]
December 2021, Volume 23, Issue 2
- An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award [1]
- Surf or Sleep? Understanding the Influence of Bedtime Patterns on Campus [3]
- Meta-Learning with Graph Neural Networks: Methods and Applications [13]
June 2021, Volume 23, Issue 1
- Introduction to the Special Section on Bias and Fairness in AI [1]
- Two Kinds of Discrimination in AI-Based Penal Decision-Making [4]
- On the Applicability of Machine Learning Fairness Notions [14]
- Gendering algorithms in social media [24]
- Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning [32]
- Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making [42]
- Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics [50]
- Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation [59]
- An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings [69]
- Adversarial Attacks and Defenses: An Interpretation Perspective [86]
December 2020, Volume 22, Issue 2
- A Message from KDD 2020 General Chairs: KDD 2020 Highlights [1]
- An Interview with Dr. Thorsten Joachims, Winner of ACM SIGKDD 2020 Innovation Award [2]
- An Interview with Dr. Michael Zeller, Winner of ACM SIGKDD 2020 Service Award [6]
- A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019 [8]
- Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation: [12]
- Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies [19]
- Techniques for Automated Machine Learning [35]
June 2020, Volume 22, Issue 1
- An Interview with Dr. Charu Aggarwal, SIGKDD Innovation Award Winner [1]
- Data Science for Earth: An Earth Day Report [4]
- The KDD Cup 2019 Report [8]
- Causal Interpretability for Machine Learning - Problems, Methods and Evaluation [18]
