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- 1.0536614 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Šabata, T. - Holeňa, Martin
Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings.
Proceedings of the Workshop on Interactive Adaptive Learning. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Kottke, D.; Krempl, G.; Lemaire, V.; Holzinger, A.; Calma, A.), s. 72-77. CEUR Workshop Proceedings, 2660. ISSN 1613-0073.
[IAL 2020: International Workshop on Interactive Adaptive Learning /4./. Virtual Ghent (BE), 14.09.2020-14.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Active Learning * Anomaly detection * LSTM-Autoencoder * Time series
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2660/ialatecml_shortpaper1.pdf
Permanent Link: http://hdl.handle.net/11104/0314366File Download Size Commentary Version Access 0536614-aw.pdf 0 527.4 KB volně online Publisher’s postprint open-access - 2.0509321 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
Šabata, T. - Páll, J. E. - Holeňa, Martin
Deep Bayesian Semi-Supervised Active Learning for Sequence Labelling.
IAL ECML PKDD 2019: Workshop & Tutorial on Interactive Adaptive Learning. Proceedings. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2019 - (Kottke, D.; Lemaire, D.; Calma, A.; Krempl, G.; Holzinger, A.), s. 80-95. CEUR Workshop Proceedings, 2444. ISSN 1613-0073.
[ECML PKDD 2019: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Würzburg (DE), 16.09.2019-20.09.2019]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Active Learning * Semi-supervised Learning * Bayesian Inference * Deep Learning * Sequence Labelling
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2444/ialatecml_paper6.pdf
Permanent Link: http://hdl.handle.net/11104/0300071File Download Size Commentary Version Access 0509321-a.pdf 4 753.1 KB Publisher’s postprint require - 3.0493293 - ÚI 2019 RIV IE eng C - Conference Paper (international conference)
Šabata, T. - Pulc, Petr - Holeňa, Martin
Semi-supervised and Active Learning in Video Scene Classification from Statistical Features.
ECML PKDD 2018: Workshop on Interactive Adaptive Learning. Proceedings. Dublin, 2018 - (Krempl, G.; Lemaire, V.; Kottke, D.; Calma, A.; Holzinger, A.; Polikar, R.; Sick, B.), s. 24-35
[ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Dublin (IE), 10.09.2018-14.09.2018]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : video data * scene classification * semi-supervised learning * active learning * colour statistics * feedforward neural networks
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0286680File Download Size Commentary Version Access a0493293.pdf 13 602.4 KB Sborník dostupný online. Publisher’s postprint open-access - 4.0478628 - ÚI 2018 RIV DE eng C - Conference Paper (international conference)
Šabata, T. - Borovička, T. - Holeňa, Martin
K-best Viterbi Semi-supervized Active Learning in Sequence Labelling.
Proceedings ITAT 2017: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2017 - (Hlaváčová, J.), s. 144-152. CEUR Workshop Proceedings, V-1885. ISBN 978-1974274741. ISSN 1613-0073.
[ITAT 2017. Conference on Theory and Practice of Information Technologies - Applications and Theory /17./. Martinské hole (SK), 22.09.2017-26.09.2017]
R&D Projects: GA ČR GA17-01251S
Grant - others:ČVUT(CZ) SGS17/210/OHK3/3T/18
Institutional support: RVO:67985807
Keywords : active learning * semi-supervised learning * sequence labelling * Viterbi algorithm
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-1885/144.pdf
Permanent Link: http://hdl.handle.net/11104/0274763File Download Size Commentary Version Access a0478628.pdf 3 411.8 KB Publisher’s postprint require - 5.0462894 - ÚI 2017 RIV DE eng C - Conference Paper (international conference)
Šabata, T. - Borovička, T. - Holeňa, Martin
Modeling and Clustering the Behavior of Animals Using Hidden Markov Models.
Proceedings ITAT 2016: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2016 - (Brejová, B.), s. 172-178. CEUR Workshop Proceedings, V-1649. ISBN 978-1-5370-1674-0. ISSN 1613-0073.
[ITAT 2016. Conference on Theory and Practice of Information Technologies /16./. Tatranské Matliare (SK), 15.09.2016-19.09.2016]
Institutional support: RVO:67985807
Keywords : behavior patterns * behavioral sequences * clustering * hidden Markov models * Kullback-Leibler divergence
Subject RIV: IN - Informatics, Computer Science
http://ceur-ws.org/Vol-1649/172.pdf
Permanent Link: http://hdl.handle.net/11104/0262246File Download Size Commentary Version Access a0462894.pdf 0 372.6 KB Publisher’s postprint require