Obserwuj
Przemysław Spurek
Przemysław Spurek
Jagiellonian University
Zweryfikowany adres z ii.uj.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
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
892018
Deep learning approach to bacterial colony classification
B Zieliński, A Plichta, K Misztal, P Spurek, M Brzychczy-Włoch, ...
PloS one 12 (9), e0184554, 2017
852017
Cross-entropy clustering
J Tabor, P Spurek
Pattern Recognition 47 (9), 3046-3059, 2014
662014
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
36*2020
Cramer-wold autoencoder
S Knop, J Tabor, P Spurek, I Podolak, M Mazur, S Jastrzębski
Journal of Machine Learning Research 21 (164), 1-28, 2018
35*2018
Hypernetwork approach to generating point clouds
P Spurek, S Winczowski, J Tabor, M Zamorski, M Zięba, T Trzciński
International Conference on Machine Learning 119, 9099--9108, 2020
172020
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
172018
ICA based on asymmetry
P Spurek, J Tabor, P Rola, M Ociepka
Pattern Recognition 67, 230-244, 2017
152017
Active Function Cross-Entropy Clustering
P Spurek, J Tabor, K Byrski
Expert Systems with Applications 72, 49–66, 2017
152017
General split gaussian cross–entropy clustering
P Spurek
Expert Systems with Applications 68, 58-68, 2017
122017
General hypernetwork framework for creating 3D point clouds
P Spurek, M Zieba, J Tabor, T Trzcinski
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
9*2021
SVM with a neutral class
M Śmieja, J Tabor, P Spurek
Pattern Analysis and Applications 22 (2), 573-582, 2019
92019
Fast Independent Component Analysis algorithm with a simple closed-form solution
P Spurek, J Tabor, Ł Struski, M Śmieja
Knowledge-Based Systems, 2018
92018
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
72021
Cross entropy clustering approach to iris segmentation for biometrics purpose
K Misztal, P Spurek, E Saeed, K Saeed, J Tabor
Schedae Informaticae 24, 2015
72015
R package cec
P Spurek, K Kamieniecki, J Tabor, K Misztal, M Śmieja
Neurocomputing 237, 410-413, 2017
62017
Cross-entropy based image thresholding
M Malik, P Spurek, J Tabor
Schedae Informaticae 24, 2015
62015
CEC: Cross-entropy clustering
K Kamieniecki, P Spurek
URL http://CRAN. R-project. org/package= CEC, R package version 0.9, 2014
62014
Detection of disk-like particles in electron microscopy images
P Spurek, J Tabor, E Zając
Proceedings of the 8th International Conference on Computer Recognition …, 2013
62013
Split-and-merge tweak in cross entropy clustering
K Hajto, K Kamieniecki, K Misztal, P Spurek
IFIP International Conference on Computer Information Systems and Industrial …, 2017
5*2017
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