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====== Szymon Bobek, PhD ====== | ====== Szymon Bobek, PhD ====== | ||
- | + | {{ :: | |
- | Research assistant | + | Assistant professor |
Member of: [[http:// | Member of: [[http:// | ||
[[http:// | [[http:// | ||
- | Follow me on [[https:// | + | Follow me on [[https:// |
+ | Follow me on [[https:// | ||
+ | Checkout my code on [[https:// | ||
+ | |||
+ | ===== Most recent publication list ===== | ||
+ | For full publication list see [[https:// | ||
+ | |||
+ | * Kutt K., Drazyk D., Zuchowska L., Szelazek M., Bobek S., Nalepa G.J., BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments, | ||
+ | |||
+ | * Bobek S., Kuk M., Brzegowski J., Brzychczy E., Nalepa G.J., KnAC: an approach for enhancing cluster analysis with background knowledge and explanations, | ||
+ | |||
+ | * Bobek S., Kuk M., Szelazek M., Nalepa G.J., Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster Prototypes, IEEE Access, 10, 101556-101574, | ||
+ | |||
+ | * Kuk M., Bobek S., Nalepa G.J., Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), | ||
+ | |||
+ | * Jakubowski J., Stanisz P., Bobek S., Nalepa G.J., Performance of Explainable AI Methods in Asset Failure Prediction, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), | ||
+ | |||
+ | * Jakubowski J., Stanisz P., Bobek S., Nalepa G.J., Anomaly detection in asset degradation process using variational autoencoder and explanations, | ||
+ | |||
+ | * Bobek S., Tadeja S.K., Struski L., Stachura P., Kipouros T., Tabor J., Nalepa G.J., Kristensson P.O., Virtual reality-based parallel coordinates plots enhanced with explainable ai and data-science analytics for decision-making processes, Applied Sciences (Switzerland), | ||
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+ | * Nalepa G.J., Bobek S., Kutt K., Atzmueller M., Semantic data mining in ubiquitous sensing: A survey, Sensors, 21, 4322, (2021-07-01). https:// | ||
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+ | * Kuk M., Bobek S., Nalepa G.J., Explainable clustering with multidimensional bounding boxes, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021, , (2021-01-01). https:// | ||
+ | |||
+ | * Jakubowski J., Stanisz P., Bobek S., Nalepa G.J., Explainable anomaly detection for Hot-rolling industrial process*, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021, , (2021-01-01). https:// | ||
+ | |||
+ | * Atzmueller M., Nalepa G.J., Bobek S., Lavrac N., Semantic Data Mining: A Brief Outline, CEUR Workshop Proceedings, | ||
+ | |||
+ | * Kutt K., Zuchowska L., Bobek S., Nalepa G.J., People in the context - An analysis of game-based experimental protocol, CEUR Workshop Proceedings, | ||
+ | |||
+ | * Bobek S., Nalepa G.J., Augmenting Automatic Clustering with Expert Knowledge and Explanations, | ||
+ | |||
+ | * Bobek S., Balaga P., Nalepa G.J., Towards Model-Agnostic Ensemble Explanations, | ||
+ | |||
+ | * Bobek S., Mozolewski M., Nalepa G.J., Explanation-Driven Model Stacking, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), | ||
+ | |||
+ | * Bobek S., Nalepa G.J., Introducing Uncertainty into Explainable AI Methods, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), | ||
+ | |||
+ | * Nalepa G.J., Araszkiewicz M., Atzmueller M., Verheij B., Bobek S., Preface, CEUR Workshop Proceedings, | ||
+ | |||
+ | * Kutt K., Drazyk D., Bobek S., Nalepa G.J., Personality-based affective adaptation methods for intelligent systems, Sensors (Switzerland), | ||
+ | |||
+ | * Bobek S., Trzcinkowska A., Brzychczy E., Nalepa G.J., Cluster discovery from sensor data incorporating expert knowledge, CEUR Workshop Proceedings, | ||
+ | |||
+ | * Zuchowska L., Kutt K., Geleta K., Bobek S., Nalepa G.J., Affective games provide controlable context. proposal of an experimental framework, CEUR Workshop Proceedings, | ||