| Semi-supervised and Active Learning in Video Scene Classification from Statistical Features T Šabata, P Pulc, M Holena Workshop on Interactive Adaptive Learning, 24, 2018 | 10 | 2018 |
| Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings. T Sabata, M Holena IAL@ PKDD/ECML, 72-77, 2020 | 3 | 2020 |
| Modeling and Clustering the Behavior of Animals Using Hidden Markov Models T Šabata, T Borovicka, M Holena ITAT 2016: Information Technologies—Applications and Theory, 172-178, 2016 | 2 | 2016 |
| Deep Bayesian Semi-Supervised Active Learning for Sequence Labelling T Šabata, JE Páll, M Holena Proceedings of the Workshop on Interactive Adaptive Learning co-located with …, 2019 | 1 | 2019 |
| Motion segmentation by semi-supervised classification in dynamic scenery P Pulc, O Kerul-Kmec, T Šabata, M Holena | 1 | 2018 |
| K-best Viterbi Semi-supervized Active Learning in Sequence Labelling T Šabata, T Borovicka, M Holena ITAT 2017: Information Technologies – Applications and Theory, 144-152, 2017 | 1 | 2017 |
| Aplikace pro vyhodnocení stylu jízdy řidiče T Šabata České vysoké učení technické v Praze. Vypočetní a informační centrum., 2014 | | 2014 |
Martin Holena在 cs.cas.cz 的电子邮件经过验证
Martin Holena在 cs.cas.cz 的电子邮件经过验证
Petr PulcFakulta informačních technologií ČVUT v Praze在 fit.cvut.cz 的电子邮件经过验证