Expertises
Computer Science
- Events
- Database
- Models
- Case Study
- Data Integration
- Real World
- Social Media
- Machine Learning
Organisaties
Publicaties
2024
Finding blind spots: Investigating identity data matching in transnational commercialized security infrastructures and beyond. University of Twente. Van Rossem, W.https://doi.org/10.3990/1.9789036561778Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. Pathak, S., Schlötterer, J., Veltman, J., Geerdink, J., Keulen, M. v. & Seifert, C.Interpreting and Correcting Medical Image Classification with PIP-NetIn Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, 2023, Proceedings (pp. 198-215). 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, Article 295. Nauta, M., Trienes, J., Pathak, S., Nguyen, E., Peters, M., Schmitt, Y., Schlötterer, J., Van Keulen, M. & Seifert, C.https://doi.org/10.1145/3583558E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. ArXiv.org. Wu, B., Xiao, Q., Liu, S., Yin, L., Pechenizkiy, M., Mocanu, D. C., Keulen, M. V. & Mocanu, E.https://doi.org/10.48550/arXiv.2312.04727Investigating Imputation Methods for Handling Missing Data. Maas, J., Römer, J. G. W. T., Baysal Erez, I. & van Keulen, M.Investigating Imputation Methods for Handling Missing Data. Maas, J., Römer, J. G. W. T., Baysal Erez, I. & van Keulen, M.Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. ArXiv.org. Pathak, S., Schlötterer, J., Geerdink, J., Vijlbrief, O. D., Keulen, M. v. & Seifert, C.Interpreting and Correcting Medical Image Classification with PIP-Net. ArXiv.org. Nauta, M., Hegeman, J. H., Geerdink, J., Schlötterer, J., Keulen, M. v. & Seifert, C.https://doi.org/10.48550/arXiv.2307.10404PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image ClassificationIn CVPR 2023 (pp. 2744-2753). Nauta, M., Schlötterer, J., van Keulen, M. & Seifert, C.
Onderzoeksprofielen
Verbonden aan opleidingen
Vakken collegejaar 2023/2024
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.
- 191211650 - Multi-Disciplinary Design Project
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 192199978 - Final Project CS
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300074 - REDI
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta Software Technology
- 201500371 - Capita Selecta BIT
- 201600017 - Final Project Preparation
- 201600191 - Conference - EngD
- 201700081 - Probabilistic Programming
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900195 - Final Project I-Tech
- 201900200 - Final Project EMSYS
- 201900234 - Internship I-Tech
- 202001022 - Pearls of Computer Science Core
- 202001434 - Internship EMSYS
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202001613 - MSc Final Project BIT + CS
- 202001614 - MSc Final Project CS + I-Tech
- 202001616 - Research Topics CS + I-TECH
- 202200021 - Machine Learning for Datatypes
- 202200022 - KKR & DQ
- 202200023 - Explainable AI & Ethics
- 202200024 - DS&AI Project
- 202200251 - Capita Selecta DST
- 202200267 - Capita Selecta EngD (tailored assignm.2)
- 202300070 - Final Project EMSYS
- 202300200 - Data Science
- 202300201 - Data Science - Additional Topics
- 202300202 - Data Science for ATLAS
Vakken collegejaar 2022/2023
- 191211650 - Multi-Disciplinary Design Project
- 192166200 - Capita Selecta I-TECH
- 192199508 - Research Topics CS+IST
- 192199968 - Internship CS
- 192199978 - Final Project CS+IST
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300074 - REDI
- 201300086 - Research Topics 2 CS+IST
- 201300294 - Masteronderzoek ECB Informatica
- 201400171 - Capita Selecta Software Technology
- 201400174 - Data Science
- 201500363 - Data Science Additional Topics
- 201500371 - Capita Selecta BIT
- 201600017 - Final Project Preparation
- 201600191 - Conference - EngD
- 201700081 - Probabilistic Programming
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900195 - Final Project I-Tech
- 201900200 - Final Project EMSYS
- 201900234 - Internship I-Tech
- 202000100 - Introduction to Smart Cities
- 202000101 - Smart City Engineering Project
- 202001022 - Pearls of Computer Science Core
- 202001434 - Internship EMSYS
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202001613 - MSc Final Project BIT + CS
- 202001614 - MSc Final Project CS + I-Tech
- 202001616 - Research Topics CS + I-TECH
- 202100340 - Combined Final Project EE/S&C
- 202101028 - Data & Information Core
- 202200021 - Machine Learning for Datatypes
- 202200022 - KKR & DQ
- 202200023 - Explainable AI & Ethics
- 202200024 - DS&AI Project
- 202200251 - Capita Selecta DST
- 202200259 - Data & Information Core DD AM-CS
- 202200267 - Capita Selecta EngD (tailored assignm.2)
- 202200377 - Internship I-Tech / Robotics
- 202200399 - Internship I-Tech / Robotics
Adres
![](/.uc/iff4689c40103f3eb1100f2c8f403e85637f06a7b284b0801e3bc0268018041/zilverling.jpg)
Universiteit Twente
Zilverling (gebouwnr. 11), kamer 4061
Hallenweg 19
7522 NH Enschede
Universiteit Twente
Zilverling 4061
Postbus 217
7500 AE Enschede