dr Łukasz Struski
Jednostki:
- Wydział Matematyki i Informatyki UJ
- Instytut Matematyki
- Katedra Matematyki Stosowanej
Doktorat Otwarcie: 2012-05-31, Zamknięcie: 2014-01-30
Doktorat Otwarcie: 2013-03-28, Zamknięcie: 2014-01-30
Publikacje:
16.
Processing of incomplete images by (graph) convolutional neural networks, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
15.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
14.
Mario A.T. Figueiredo, Łukasz Struski, Marek Śmieja
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, NEURAL NETWORKS vol. 127 (2019), 193-203
13.
Generalized RBF kernel for incomplete data, KNOWL-BASED SYST vol. 173 (2019), 150-162
12.
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
11.
10.
Projected memory clustering, PATTERN RECOGN LETT vol. 123 (2019), 9-15
9.
8.
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS vol. 31 (2018), 2719--2729
7.
Lossy Compression Approach to Subspace Clustering, INFORM SCIENCES vol. 435 (2018), 161-183
6.
Expansivity implies existence of Holder continuous Lyapunov function, DISCRETE CONT DYN-B vol. 22 (9) (2017), 3575-3589
5.
Regression SVM for incomplete data, SCHEDAE INFORMATICAE vol. 26 (2017), 23-35
4.
Semi-supervised model-based clustering with controlled clusters leakage, EXPERT SYST APPL vol. 85 (2016), 146-157
3.
Subspace memory clustering, SCHEDAE INFORMATICAE vol. 24 (2015), 133-142
2.
Expansivity and Cone-fields in Metric Spaces, J DYN DIFFER EQU vol. 26(3) (2014), 517-527
1.
Cone-Fields without Constant Orbit Core Dimension, DISCRETE CONT DYN-A vol. 32(10) (2012), 3651-3664
Konferencje:
10.
TFML 3rd International Conference on Theoretical Foundations of Machine Learning, Uniwersytet Jagielloński, Kraków, Polska, 2019-02-11 - 2019-02-15
9.
Machine Learning Nokia Workshop, Nokia, Kraków, Polska, 2019-01-17 - 2019-01-17
8.
PL in ML: Polish View on Machine Learning, Uniwersytet Warszawski, Warszawa, Polska, 2018-12-14 - 2018-12-17
7.
NIPS 32nd International Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Montreal, Kanada, 2018-12-02 - 2018-12-08
6.
ICML 35th International Conference on Machine Learning, International Machine Learning Society, Sztokholm, Szwecja, 2018-07-10 - 2018-07-15
5.
AI @ Samsung, Samsung, Kraków, Polska, 2018-05-25 - 2018-05-25
4.
ICML 34th International Conference on Machine Learning, International Machine Learning Society, Sydney, Australia, 2017-08-06 - 2017-08-11
3.
Polish-SIGML 2017 - Polska Grupa Badawcza Systemów Uczących się , Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty, Kraków, Poland, 2017-02-17 - 2017-02-17
2.
Theoretical Foundations of Machine Learning 2017, Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty, Kraków, Poland, 2017-02-13 - 2017-02-17
1.
Theoretical Foundations of Machine Learning, Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty, Będlewo, Poland, 2015-02-16 - 2015-02-21
Konferencje organizowane:
2.
Theoretical Foundations of Machine Learning 2017, Kraków, 2017-02-13, 2017-02-17
1.
Polish-SIGML 2017 - Polska Grupa Badawcza Systemów Uczących się, Kraków, 2017-02-17, 2017-07-07
Granty (realizowane po maju 2009 roku)
| Tytuł | Rola | Rozpoczęcie | Zakończenie |
|---|---|---|---|
| Teoria analizy niekompletnych danych | Wykonawca | 2016-07-13 | 2019-10-12 |