Jakub M. Tomczak
Jakub M. Tomczak
Assistant Professor at Vrije Universiteit Amsterdam
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Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
4502018
VAE with a VampPrior
J Tomczak, M Welling
International Conference on Artificial Intelligence and Statistics, 1214-1223, 2018
3322018
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
M Zięba, SK Tomczak, JM Tomczak
Expert systems with applications 58, 93-101, 2016
2542016
Hyperspherical variational auto-encoders
TR Davidson, L Falorsi, N De Cao, T Kipf, JM Tomczak
arXiv preprint arXiv:1804.00891, 2018
2062018
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
M Zięba, JM Tomczak, M Lubicz, J Świątek
Applied soft computing 14, 99-108, 2014
1392014
Sylvester Normalizing Flows for Variational Inference
R Berg, L Hasenclever, JM Tomczak, M Welling
arXiv preprint arXiv:1803.05649, 2018
1382018
Improving variational auto-encoders using householder flow
JM Tomczak, M Welling
arXiv preprint arXiv:1611.09630, 2016
1122016
Video compression with rate-distortion autoencoders
A Habibian, T Rozendaal, JM Tomczak, TS Cohen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
722019
Classification restricted Boltzmann machine for comprehensible credit scoring model
JM Tomczak, M Zięba
Expert Systems with Applications 42 (4), 1789-1796, 2015
702015
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
Medical Imaging with Deep Learning, 322-348, 2020
592020
Interaction prediction in structure-based virtual screening using deep learning
A Gonczarek, JM Tomczak, S Zaręba, J Kaczmar, P Dąbrowski, ...
Computers in biology and medicine 100, 253-258, 2018
502018
Combinatorial Bayesian Optimization using the Graph Cartesian Product
C Oh, J Tomczak, E Gavves, M Welling
Advances in Neural Information Processing Systems, 2914-2924, 2019
42*2019
Conditional channel gated networks for task-aware continual learning
D Abati, J Tomczak, T Blankevoort, S Calderara, R Cucchiara, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
352020
Student courses recommendation using ant colony optimization
J Sobecki, JM Tomczak
Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence …, 2010
352010
Decision rules extraction from data stream in the presence of changing context for diabetes treatment
JM Tomczak, A Gonczarek
Knowledge and Information Systems 34 (3), 521-546, 2013
302013
Boosted SVM with active learning strategy for imbalanced data
M Zięba, JM Tomczak
Soft Computing 19 (12), 3357-3368, 2015
292015
Combinatorial Bayesian Optimization using the Graph Cartesian Product
C Oh, J Tomczak, E Gavves, M Welling
Advances in Neural Information Processing Systems, 2914-2924, 2019
282019
Probabilistic combination of classification rules and its application to medical diagnosis
JM Tomczak, M Zięba
Machine Learning 101 (1), 105-135, 2015
252015
Attentive group equivariant convolutional networks
D Romero, E Bekkers, J Tomczak, M Hoogendoorn
International Conference on Machine Learning, 8188-8199, 2020
232020
Prediction of breast cancer recurrence using Classification Restricted Boltzmann Machine with Dropping
JM Tomczak
arXiv preprint arXiv:1308.6324, 2013
222013
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Artikelen 1–20