dr Przemysław Spurek
Jednostki:
- Wydział Matematyki i Informatyki UJ
- Instytut Informatyki i Matematyki Komputerowej
- Katedra Uczenia Maszynowego
Doktorat Otwarcie: 2012-05-31, Zamknięcie: 2014-06-26
Publikacje:
47.
Generative models with kernel distance in data space, Neurocomputing vol. 487 (2022), 119-129
46.
45.
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders, International Conference on Tools with Artificial Intelligence [ICTAI], (2021), 1322-1326
44.
Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol. vol 1516 (2021), 196-204
43.
Andrzej Bedychaj, Zięba Maciej , Aleksandra Nowak, Massimiliano Patacchiola, Marcin Sendera, Przemysław Spurek, Jacek Tabor, Tomasz Trzciński
Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 10285-10298
42.
Continual Learning of 3D Point Cloud Generators, International Conference on Neural Information Processing [ICONIP] vol. vol 13108 (2021), 330-341
41.
40.
Kamil Deja, Jan Dubiński, Piotr Nowak, Przemysław Spurek, Tomasz Trzciński, Sandro Wenzel
End-to-End Sinkhorn Autoencoder With Noise Generator, IEEE Access vol. 9 (2021), 7211-7219
39.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, European Symposium on Artificial Neural Networks [ESANN], (2020), 6
38.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
37.
Tomasz Danel, Łukasz Maziarka, Agnieszka Słowik, Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor
Spatial Graph Convolutional Networks, International Conference On Neural Information Processing vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
36.
Non-linear ICA based on Cramer-Wold metric, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
35.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński, Sebastian Winczowski, Maciej Zamorski
Hypernetwork approach to generating point clouds, International Conference on Machine Learning [ICML](MAIN), (2020),
34.
33.
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
32.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
31.
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
30.
Projected memory clustering, Pattern Recognition Letters vol. 123 (2019), 9-15
29.
Online updating of active function cross-entropy clustering, Pattern Analysis and Applications vol. vol. 22 no. 4 (2019), 1409-1425
28.
SVM with a neutral class, Pattern Analysis and Applications vol. 22/2 (2019), 573-582
27.
Image Stitching Based on Entropy Minimization, Schedae Informaticae vol. 27 (2018), 129-141
26.
Sliced generative models, Schedae Informaticae vol. 27 (2018), 69-79
25.
24.
Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
23.
Lossy Compression Approach to Subspace Clustering, Information Sciences vol. 435 (2018), 161-183
22.
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński
Deep learning approach to bacterial colony classification, PLoS One vol. 12 (9) (2017), 1-14
21.
Split-and-merge Tweak in Cross Entropy Clustering, Computer Information Systems and Industrial Management: 16th Ifip Tc8 International Conference (2017), 193 - 204
20.
Uniform Cross-entropy Clustering, Schedae Informaticae vol. 25 (2017), 117-126
19.
ICA based on asymmetry, Pattern Recognition vol. 67 (2017), 230-244
18.
Active Function Cross-Entropy Clustering, Expert Systems with Applications vol. 72 (2017), 49–66
17.
R Package CEC , Neurocomputing vol. 237 (2017), 410–413
16.
General Split Gaussian Cross-Entropy Clustering, Expert Systems with Applications vol. 68 (2017), 58–68
15.
Maximum Likelihood Estimation and Optimal Coordinates, International Conference On Systems Science, 2016 vol. Springer (2016), 3-13
14.
Clustering of Gaussian distributions, 2016 International Joint Conference On Neural Networks (ijcnn) vol. IEEE (2016), 3346-3353
13.
12.
Cross-Entropy based image thresholding, Schedae Informaticae vol. 24 (2015), 21-29
11.
10.
Subspace memory clustering, Schedae Informaticae vol. 24 (2015), 133-142
9.
Przemysław Spurek, Jacek Tabor, Mateusz Wójcik
Cross-Entropy Clustering Approach to One-Class Classification, Lecture Notes in Computer Science vol. 9119 (2015), 481-490
8.
Przemysław Spurek, Elżbieta Zając
Metody analizy mikroskopowych obrazów warstw C-Pd, (2014), "Świat nanotechnologii. Warstwy nanokompozytowe węglowo-palladowe. Badania i technologia", Wydawnictwa Uniwersytetu Warszawskiego
7.
Alena Chaikouskaya, Przemysław Spurek, Jacek Tabor, Elżbieta Zając
A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves, Computer Information Systems and Industrial Management vol. 8838 (2014), 559-570
6.
5.
Cross Entropy Clustering, Pattern Recognition vol. 47 (2014), 3046–3059
4.
Weighted Approach to Projective Clustering, Computer Information Systems and Industrial Management Lecture Notes in Computer Science vol. 8104 (2013), 367-378
3.
The memory center, Information Sciences vol. 252 (2013), 132–143
2.
Przemysław Spurek, Jacek Tabor, Elżbieta Zając
Detection of Disk-Like Particles in Electron Microscopy Images, Advances in Intelligent Systems and Computing vol. 226 (2013), 411-417
1.
Konferencje organizowane:
2.
Theoretical Foundations of Machine Learning - TFML 2017, Kraków, 2017-02-13, 2017-02-17
1.
Theoretical Foundations of Machine Learning, Będlewo, 2015-02-16, 2015-02-20
Granty (realizowane po maju 2009 roku)
| Tytuł | Rola | Rozpoczęcie | Zakończenie |
|---|---|---|---|
| Środek ciężkości pamięci | Kierownik | 2014-02-24 | 2016-08-23 |
| Paradygmat minimalizacji pamięci w klastrowaniu | Wykonawca | 2015-01-21 | 2017-08-26 |
| Budowanie algorytmów grupowania danych w oparciu o uogólnione rozkłady normalne oraz rozkłady nie gaussowskie | Kierownik | 2016-06-13 | 2020-06-12 |
| Generowanie rzeczywistych obrazów za pomocą modeli opartych na architekturze autoenkodera | Kierownik | 2020-02-20 | 2023-02-19 |