Jakub M. Tomczak
Jakub M. Tomczak
Assistant Professor at Vrije Universiteit Amsterdam
Verified email at vu.nl - Homepage
Title
Cited by
Cited by
Year
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
3292018
VAE with a VampPrior
J Tomczak, M Welling
International Conference on Artificial Intelligence and Statistics, 1214-1223, 2018
2782018
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
2172016
Hyperspherical variational auto-encoders
TR Davidson, L Falorsi, N De Cao, T Kipf, JM Tomczak
arXiv preprint arXiv:1804.00891, 2018
1632018
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
1302014
Sylvester Normalizing Flows for Variational Inference
R Berg, L Hasenclever, JM Tomczak, M Welling
arXiv preprint arXiv:1803.05649, 2018
1182018
Improving variational auto-encoders using householder flow
JM Tomczak, M Welling
arXiv preprint arXiv:1611.09630, 2016
1012016
Classification restricted Boltzmann machine for comprehensible credit scoring model
JM Tomczak, M Zięba
Expert Systems with Applications 42 (4), 1789-1796, 2015
642015
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
462019
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
382018
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
35*2019
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
Medical Imaging with Deep Learning, 322-348, 2020
342020
Student courses recommendation using ant colony optimization
J Sobecki, JM Tomczak
Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence …, 2010
342010
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
292013
Boosted SVM with active learning strategy for imbalanced data
M Zięba, JM Tomczak
Soft Computing 19 (12), 3357-3368, 2015
282015
Probabilistic combination of classification rules and its application to medical diagnosis
JM Tomczak, M Zięba
Machine Learning 101 (1), 105-135, 2015
242015
Prediction of breast cancer recurrence using Classification Restricted Boltzmann Machine with Dropping
JM Tomczak
arXiv preprint arXiv:1308.6324, 2013
222013
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
212020
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
212019
Context change detection for resource allocation in service-oriented systems
P Rygielski, JM Tomczak
Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence …, 2011
212011
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Articles 1–20