Zilverling
Guest staff

dr. C. Seifert (Christin)

Universitair hoofddocent (Gast)
EEMCS-CS-DMB
Zilverling
c.seifert@utwente.nl
+31534898248
Visitekaartje

Publicaties

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/10.1145/3583558Case-level Breast Cancer Prediction for Real Hospital Settings (2023)[Working paper › Preprint]. ArXiv.org. Pathak, S., Schlötterer, J., Geerdink, J., Veltman, J., van Keulen, M., Strisciuglio, N. & Seifert, C.https://doi.org/10.48550/arXiv.2310.12677Weakly 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.2307.10404

Onderzoeksprofielen

Vakken collegejaar 2024/2025

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2023/2024

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