Publications

2024

Feature Importance to Explain Multimodal Prediction Models: a Clinical Use Case (2024)In Explainable Artificial Intelligence: Second World Conference, xAI 2024. Valletta, Malta, July 17-19, 2024. Proceedings, Part IV (pp. 84-101) (Communications in Computer and Information Science; Vol. 2156). Springer Nature. van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C.https://doi.org/10.1007/978-3-031-63803-9_5Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges (2024)In Explainable Artificial Intelligence - 2nd World Conference, xAI 2024, Proceedings (pp. 21-42) (Communications in Computer and Information Science; Vol. 2153 CCIS). Springer. Pathak, S., Schlötterer, J., Veltman, J., Geerdink, J., van Keulen, M. & Seifert, C.https://doi.org/10.1007/978-3-031-63787-2_2Feature importance to explain multimodal prediction models. A clinical use case (2024)[Working paper › Preprint]. ArXiv.org. van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C.Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges (2024)[Working paper › Preprint]. Pathak, S., Schlötterer, J., Veltman, J., Geerdink, J., Keulen, M. v. & Seifert, C.Interpreting and Correcting Medical Image Classification with PIP-Net (2024)In Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, 2023, Proceedings (pp. 198-215) (Communications in Computer and Information Science; Vol. 1947). Springer. Nauta, M., Hegeman, J. H., Geerdink, J., Schlötterer, J., Keulen, M. v. & Seifert, C.https://doi.org/10.1007/978-3-031-50396-2_11

2023

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI (2023)ACM computing surveys, 55(13s). Article 295. Nauta, M., Trienes, J., Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J., Van Keulen, M. & Seifert, C.https://doi.org/10.1145/3583558Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings (2023)[Working paper › Preprint]. ArXiv.org. Pathak, S., Schlötterer, J., Geerdink, J., Vijlbrief, O. D., Keulen, M. v. & Seifert, C.Benchmarking eXplainable AI: A Survey on Available Toolkits and Open Challenges (2023)In Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 (pp. 6665-6673) (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August). International Joint Conferences on Artificial Intelligence. Le, P. Q., Nauta, M., Nguyen, V. B., Pathak, S., Schlötterer, J. & Seifert, C.Interpreting and Correcting Medical Image Classification with PIP-Net (2023)[Working paper › Preprint]. ArXiv.org. Nauta, M., Hegeman, J. H., Geerdink, J., Schlötterer, J., Keulen, M. v. & Seifert, C.https://doi.org/10.48550/arXiv.2307.10404Know What Not To Know: Users’ Perception of Abstaining Classifiers (2023)In Companion Publication of the 2023 ACM Designing Interactive Systems Conference (pp. 169-172). Association for Computing Machinery. Papenmeier, A., Hienert, D., Kammerer, Y., Seifert, C. & Kern, D.https://doi.org/10.1145/3563703.3596622

Research profiles

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2023/2024

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University of Twente

Zilverling (building no. 11)
Hallenweg 19
7522 NH Enschede
Netherlands

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