Welkom...

M. Nauta MSc (Meike)

Promovendus

Expertises

Engineering & Materials Science
Convolutional Neural Networks
Decision Making
Deep Learning
Image Recognition
Neural Networks
Radiology
Mathematics
Image Recognition
Interpretability

Publicaties

Recent
Paalvast, O. , Nauta, M., Koelle, M. , Geerdink, J., Vijlbrief, O. , Hegeman, J. H. , & Seifert, C. (2022). Radiology report generation for proximal femur fractures using deep classification and language generation models. Artificial intelligence in medicine, 128, [102281]. https://doi.org/10.1016/j.artmed.2022.102281
Nauta, M., Jutte, A., Provoost, J. , & Seifert, C. (2022). This Looks Like That, Because.. Explaining Prototypes for Interpretable Image Recognition. In M. Kamp, M. Kamp, I. Koprinska, A. Bibal, T. Bouadi, B. Frénay, L. Galárraga, J. Oramas, L. Adilova, Y. Krishnamurthy, B. Kang, C. Largeron, J. Lijffijt, T. Viard, P. Welke, M. Ruocco, E. Aune, C. Gallicchio, G. Schiele, F. Pernkopf, M. Blott, H. Fröning, G. Schindler, R. Guidotti, A. Monreale, S. Rinzivillo, P. Biecek, E. Ntoutsi, M. Pechenizkiy, B. Rosenhahn, C. Buckley, D. Cialfi, P. Lanillos, M. Ramstead, T. Verbelen, P. M. Ferreira, G. Andresini, D. Malerba, I. Medeiros, P. Fournier-Viger, M. S. Nawaz, S. Ventura, M. Sun, M. Zhou, V. Bitetta, I. Bordino, A. Ferretti, F. Gullo, G. Ponti, L. Severini, R. Ribeiro, J. Gama, R. Gavaldà, L. Cooper, N. Ghazaleh, J. Richiardi, D. Roqueiro, D. Saldana Miranda, K. Sechidis, ... G. Graça (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings (Vol. 1524, pp. 441-456). (Communications in Computer and Information Science; Vol. 1524 CCIS). Springer Science + Business Media. https://doi.org/10.1007/978-3-030-93736-2_34
Nauta, M., van Bree, R. , & Seifert, C. (2021). Intrinsically Interpretable Image Recognition with Neural Prototype Trees. Abstract from Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision, Online Event.
Nauta, M., van Bree, R. , & Seifert, C. (2021). Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 14933-14943). IEEE. https://doi.org/10.1109/CVPR46437.2021.01469
Nauta, M. , Putten, M. J. A. M. V. , Tjepkema-Cloostermans, M. C., Bos, J. P. , Keulen, M. V. , & Seifert, C. (2020). Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. In K. Bach, R. Bunescu, C. Marling, & N. Wiratunga (Eds.), KDH 2020: 5th International Workshop on Knowledge Discovery in Healthcare Data (Vol. 2675, pp. 5-11). (CEUR Workshop Proceedings; Vol. 2675). CEUR. http://ceur-ws.org/Vol-2675/paper1.pdf
Theodorus, A. , Nauta, M. , & Seifert, C. (2020). Evaluating CNN interpretability on sketch classification. In W. Osten, D. Nikolaev, & J. Zhou (Eds.), 12th International Conference on Machine Vision, ICMV 2019 [114331Q] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11433). SPIE Press. https://doi.org/10.1117/12.2559536
Peters, M., Kempen, L. , Nauta, M. , & Seifert, C. (2019). Visualising the Training Process of Convolutional Neural Networks for Non-Experts. Paper presented at 31st Benelux Conference on Artificial Intelligence, BNAIC 2019, Brussels, Belgium.
Nauta, M. , Bucur, D. , & Stoelinga, M. (2018). LIFT: Learning Fault Trees from Observational Data. In A. McIver, & A. Horvath (Eds.), Quantitative Evaluation of Systems: 15th International Conference, QEST 2018, Beijing, China, September 4-7, 2018, Proceedings (pp. 306-322). (Lecture Notes in Computer Science; Vol. 11024). Springer. https://doi.org/10.1007/978-3-319-99154-2_19

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Vakken Collegejaar  2021/2022

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  2020/2021

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 4055
Hallenweg 19
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4055
Postbus 217
7500 AE Enschede