| 2026 | WWW | Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering. | Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan |
| 2025 | CIKM | Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. | Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan |
| 2024 | CHI | What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks. | Kacper Sokol, Julia E. Vogt |
| 2022 | IJCAI | BayCon: Model-agnostic Bayesian Counterfactual Generator. | Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich |
| 2020 | AIES | FACE: Feasible and Actionable Counterfactual Explanations. | Rafael Poyiadzi, Kacper Sokol, Ral Santos-Rodrguez, Tijl De Bie, Peter A. Flach |
| 2019 | AAAI | Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety. | Kacper Sokol, Peter A. Flach |
| 2019 | AAAI | Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals. | Kacper Sokol, Peter A. Flach |
| 2019 | AIES | Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models. | Kacper Sokol |
| 2018 | IJCAI | Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements. | Kacper Sokol, Peter A. Flach |
| 2018 | IJCAI | Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant. | Kacper Sokol, Peter A. Flach |
| 2018 | KDD | Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project. | Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perell-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter A. Flach |
| 2017 | IJCAI | The Role of Textualisation and Argumentation in Understanding the Machine Learning Process. | Kacper Sokol, Peter A. Flach |
| 2016 | ILP | Activity Recognition in Multiple Contexts for Smart-House Data. | Kacper Sokol, Peter A. Flach |