עקוב אחר
Marek Śmieja
כותרת
צוטט על ידי
צוטט על ידי
שנה
Processing of missing data by neural networks‏
M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek‏
Advances in neural information processing systems 31, 2018‏
1622018
Spatial graph convolutional networks‏
T Danel, P Spurek, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka‏
International Conference on Neural Information Processing, 668-675, 2020‏
123*2020
Hypernetwork functional image representation‏
S Klocek, Ł Maziarka, M Wołczyk, J Tabor, J Nowak, M Śmieja‏
International Conference on Artificial Neural Networks, 496-510, 2019‏
972019
Zero time waste: Recycling predictions in early exit neural networks‏
M Wołczyk, B Wójcik, K Bałazy, IT Podolak, J Tabor, M Śmieja, T Trzcinski‏
Advances in Neural Information Processing Systems 34, 2516-2528, 2021‏
472021
A classification-based approach to semi-supervised clustering with pairwise constraints‏
M Śmieja, Ł Struski, MAT Figueiredo‏
Neural Networks 127, 193-203, 2020‏
422020
Generalized RBF kernel for incomplete data‏
M Śmieja, Ł Struski, J Tabor, M Marzec‏
Knowledge-Based Systems 173, 150-162, 2019‏
372019
Constrained clustering with a complex cluster structure‏
M Śmieja, M Wiercioch‏
Advances in Data Analysis and Classification 11, 493-518, 2017‏
282017
Segma: Semi-supervised gaussian mixture autoencoder‏
M Śmieja, M Wołczyk, J Tabor, BC Geiger‏
IEEE transactions on neural networks and learning systems 32 (9), 3930-3941, 2021‏
252021
Pharmacoprint: A combination of a pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design‏
D Warszycki, Ł Struski, M Smieja, R Kafel, R Kurczab‏
Journal of chemical information and modeling 61 (10), 5054-5065, 2021‏
232021
Semi-supervised cross-entropy clustering with information bottleneck constraint‏
M Śmieja, BC Geiger‏
Information Sciences 421, 254-271, 2017‏
222017
Semi-supervised discriminative clustering with graph regularization‏
M Śmieja, O Myronov, J Tabor‏
Knowledge-Based Systems 151, 24-36, 2018‏
202018
Entropy of the Mixture of Sources and Entropy Dimension‏
M Smieja, J Tabor‏
Information Theory, IEEE Transactions on, 1-1, 2011‏
202011
Adversarial examples detection and analysis with layer-wise autoencoders‏
B Wójcik, P Morawiecki, M Śmieja, T Krzyżek, P Spurek, J Tabor‏
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021‏
182021
SVM with a neutral class‏
M Śmieja, J Tabor, P Spurek‏
Pattern Analysis and Applications 22, 573-582, 2019‏
182019
Hypertab: Hypernetwork approach for deep learning on small tabular datasets‏
W Wydmański, O Bulenok, M Śmieja‏
2023 IEEE 10th International Conference on Data Science and Advanced …, 2023‏
162023
Efficient mixture model for clustering of sparse high dimensional binary data‏
M Śmieja, K Hajto, J Tabor‏
Data Mining and Knowledge Discovery 33, 1583-1624, 2019‏
162019
Average Information Content Maximization—A New Approach for Fingerprint Hybridization and Reduction‏
M Śmieja, D Warszycki‏
PLoS ONE 11 (1), e0146666, 2016‏
162016
Weighted approach to general entropy function‏
M Śmieja‏
IMA Journal of Mathematical Control and Information 32 (2), 329-341, 2015‏
162015
Contrastive hierarchical clustering‏
M Znalezniak, P Rola, P Kaszuba, J Tabor, M Śmieja‏
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023‏
152023
Asymmetric Clustering Index in a Case Study of 5-HT1A Receptor Ligands‏
M Śmieja, D Warszycki, J Tabor, AJ Bojarski‏
PloS one 9 (7), e102069, 2014‏
152014
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20