Expertise
Engineering & Materials Science
# Automatic Indexing
# Classifiers
# Data Mining
# Digital Libraries
# Machine Learning
# Radiology
# Semantics
# Visualization
Organisations
Publications
Recent
Pathak, S., Schlötterer, J.
, Veltman, J., Geerdink, J.
, Keulen, M. V.
, & Seifert, C. (2024).
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.
Nauta, M., Hegeman, J. H., Geerdink, J., Schlötterer, J.
, Keulen, M. V.
, & Seifert, C. (2024).
Interpreting and Correcting Medical Image Classification with PIP-Net. In S. Nowaczyk, P. Biecek, N. C. Chung, M. Vallati, P. Skruch, J. Jaworek-Korjakowska, S. Parkinson, A. Nikitas, M. Atzmüller, T. Kliegr, U. Schmid, S. Bobek, N. Lavrac, M. Peeters, R. van Dierendonck, S. Robben, E. Mercier-Laurent, G. Kayakutlu, M. L. Owoc, K. Mason, A. Wahid, P. Bruno, F. Calimeri, F. Cauteruccio, G. Terracina, D. Wolter, J. L. Leidner, M. Kohlhase, ... V. Dimitrova (Eds.),
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.
https://doi.org/10.1007/978-3-031-50396-2_11
Nauta, M., Hegeman, J. H., Geerdink, J., Schlötterer, J.
, Keulen, M. V.
, & Seifert, C. (2023).
Interpreting and Correcting Medical Image Classification with PIP-Net. ArXiv.org.
https://doi.org/10.48550/arXiv.2307.10404
Pathak, S., Schlötterer, J., Geerdink, J., Vijlbrief, O. D.
, Keulen, M. V.
, & Seifert, C. (2023).
Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. ArXiv.org.
Rietberg, M. T.
, Nguyen, V. B., Geerdink, J., Vijlbrief, O.
, & Seifert, C. (2023).
Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models.
Diagnostics,
13(7), Article 1251.
https://doi.org/10.3390/diagnostics13071251
Nauta, M.
, & Seifert, C. (2023).
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. In L. Longo (Ed.),
Explainable Artificial Intelligence: 1st World Conference, xAI 2023, 2023, Proceedings (pp. 397-420). (Communications in Computer and Information Science; Vol. 1901 CCIS). Springer.
https://doi.org/10.1007/978-3-031-44064-9_21
Nguyen, E.
, Nauta, M.
, Englebienne, G.
, & Seifert, C. (2023).
Feature Attribution Explanations for Spiking Neural Networks. In
Proceedings - 2023 IEEE 5th International Conference on Cognitive Machine Intelligence, CogMI 2023 (pp. 59-68). IEEE.
https://doi.org/10.1109/CogMI58952.2023.00018
Le, P. Q.
, Nauta, M.
, Nguyen, V. B.
, Pathak, S., Schlötterer, J.
, & Seifert, C. (2023).
Benchmarking eXplainable AI: A Survey on Available Toolkits and Open Challenges. In E. Elkind (Ed.),
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.
Papenmeier, A., Hienert, D., Kammerer, Y.
, Seifert, C., & Kern, D. (2023).
Know What Not To Know: Users’ Perception of Abstaining Classifiers. In
Companion Publication of the 2023 ACM Designing Interactive Systems Conference (pp. 169-172). Association for Computing Machinery.
https://doi.org/10.1145/3563703.3596622
Nauta, M., Schlötterer, J.
, van Keulen, M.
, & Seifert, C. (2023).
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. Abstract from 2nd Explainable AI for Computer Vision Workshop, XAI4CV 2023, Vancouver, British Columbia, Canada.
UT Research Information System
Google Scholar Link
Courses Academic Year 2023/2024
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 2022/2023
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11)
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
P.O. Box 217
7500 AE Enschede
The Netherlands