Zilverling
Guest staff

dr. C. Seifert (Christin)

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

Publicaties

2024

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/10.1145/3563703.3596622PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification (2023)In CVPR 2023 (pp. 2744-2753). Nauta, M., Schlötterer, J., van Keulen, M. & Seifert, C.PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification (2023)[Contribution to conference › Abstract] 2nd Explainable AI for Computer Vision Workshop, XAI4CV 2023. Nauta, M., Schlötterer, J., van Keulen, M. & Seifert, C.Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches (2023)European journal of radiology, 162, 110787. Borys, K., Schmitt, Y. A., Nauta, M., Seifert, C., Krämer, N., Friedrich, C. M. & Nensa, F.https://doi.org/10.1016/j.ejrad.2023.110787

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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