Zilverling
Guest staff

dr. C. Seifert (Christin)

Associate Professor (Guest)
EEMCS-CS-DMB
Zilverling
c.seifert@utwente.nl
+31534898248
Business card

Expertise

  • Computer Science

    • User
    • Models
    • Domains
    • Machine Learning
    • Records
    • Accuracy
    • Visualization
    • Prediction Model

Organisations

Publications

2024

Prototype-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.https://doi.org/10.48550/arXiv.2404.18631Prototype-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_11Feature 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 (pp. 84-101) (Communications in Computer and Information Science; Vol. 2156). Springer. van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C.https://doi.org/10.1007/978-3-031-63803-9_5

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/10.1145/3583558Feature Attribution Explanations for Spiking Neural Networks (2023)[Working paper › Preprint]. ArXiv.org. Nguyen, E., Nauta, M., Englebienne, G. & Seifert, C.https://doi.org/10.48550/arXiv.2311.02110Case-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.

Research profiles

Courses academic year 2025/2026

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 2024/2025

Courses academic year 2023/2024

Address

University of Twente

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

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