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:
Publikacje:
9.
8.
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NIPS) (2018),
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.
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:
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 | 2019-07-12 |