Search results
- 1.0567321 - ÚPT 2024 RIV US eng J - Journal Article
Rizzo, R. - Dziadosz, M. - Kyathanahally, S. P. - Shamaei, Amirmohammad - Kreis, R.
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias.
Magnetic Resonance in Medicine. Roč. 89, č. 5 (2023), s. 1707-1727. ISSN 0740-3194. E-ISSN 1522-2594
EU Projects: European Commission(XE) 813120 - INSPiRE-MED
Institutional support: RVO:68081731
Keywords : active learning * bias * deep learning * ensemble of networks * model fitting * magnetic resonance spectroscopy * quantification
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.3, year: 2022
Method of publishing: Open access
https://onlinelibrary.wiley.com/doi/10.1002/mrm.29561
Permanent Link: https://hdl.handle.net/11104/0338584File Download Size Commentary Version Access 2023_Rizzo_MRM.pdf 0 5.2 MB OA - CC BY-NC 4.0 https://creativecommons.org/licenses/by-nc/4.0/ Publisher’s postprint open-access Rizzo2023_ Quantification_MRM_EarlyAccess.pdf 3 5.2 MB Early access, OA CC BY-NC 4.0 Publisher’s postprint open-access - 2.0562032 - ASÚ 2023 RIV US eng C - Conference Paper (international conference)
Škoda, Petr - Podsztavek, O. - Tvrdík, P.
VO-supported Active Deep Learning as a New Methodology for the Discovery of Objects of Interest in Big Surveys.
Astronomical Data Analysis Software and System XXIX. San Francisco: Astronomical Society of the Pacific, 2020 - (Pizzo, R.), s. 163-166. ASP Conference Series, 527. ISBN 978-1-58381-942-5.
[Astronomical Data Analysis Software and System /29./. Groningen (NL), 06.10.2019-10.10.2019]
Institutional support: RVO:67985815
Keywords : deep learning * active learning * spectra surveys
OECD category: Astronomy (including astrophysics,space science)
http://www.aspbooks.org/publications/527/163.pdf
Permanent Link: https://hdl.handle.net/11104/0334458 - 3.0555604 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Růžička, J. - Koza, J. - Tumpach, J. - Pitra, Z. - Holeňa, Martin
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.
IAL@ECML PKDD 2021: Workshop on Interactive Adaptive Learning. Proceedings. Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Krempl, G.; Lemaire, V.; Kottke, D.; Holzinger, A.; Hammer, B.), s. 105-120. CEUR Workshop Proceedings, 3079. ISSN 1613-0073.
[IAL 2021: Workshop on Interactive Adaptive Learning /5./. Bilbao / virtual (ES), 13.09.2021-13.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : active learning * black-box optimization * artificial neural networks * Gaussian processes * covariance functions
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-3079/ial2021_paper9.pdf
Permanent Link: http://hdl.handle.net/11104/0330068File Download Size Commentary Version Access 0555604-afoa.pdf 1 2.4 MB OA CC BY 4.0 Publisher’s postprint open-access - 4.0536614 - 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 - 5.0509321 - 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 - 6.0493293 - 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 - 7.0493292 - ÚI 2019 RIV IE eng A - Abstract
Repický, Jakub - Pitra, Zbyněk - Holeňa, Martin
Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization.
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. 80-84
[ECML PKDD 2018: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 10.09.2018-14.09.2018, Dublin]
R&D Projects: GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : Gaussian process * Surrogate model * Black-box optimization * Active Learning
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://www.ies.uni-kassel.de/p/ial2018/ialatecml2018.pdf
Permanent Link: http://hdl.handle.net/11104/0286678File Download Size Commentary Version Access a0493292.pdf 7 715 KB Sborník dostupný online. Publisher’s postprint open-access - 8.0478628 - 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 - 9.0435994 - ÚTIA 2015 US eng C - Conference Paper (international conference)
Šmídl, Václav - Hofman, Radek
Navigation of UAVs for tracking of atmospheric release of radiatio.
Proceedings of the 51st IEEE Annual Conference on Decision and Control (CDC). New York: IEEE Computer Society, 2012, s. 3098-3103. ISBN 978-1-4673-2066-5. ISSN 0191-2216.
[ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) 2012 /51./. Maui, Hawai (US), 10.12.2012-13.12.2012]
R&D Projects: GA MV VG20102013018
Institutional research plan: CEZ:AV0Z10750506
Keywords : navigation * dual control * active learning
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2012/AS/smidl-0435994.pdf
Permanent Link: http://hdl.handle.net/11104/0240492 - 10.0384885 - ÚI 2013 RIV SK eng C - Conference Paper (international conference)
Charypar, V. - Holeňa, Martin
Evolutionary optimization with active learning of surrogate models and fixed evaluation batch size.
Information Technologies - Applications and Theory. Seňa: PONT s.r.o., 2012 - (Horváth, T.), s. 33-40. ISBN 978-80-971144-0-4.
[ITAT 2012. Conference on Theory and Practice of Information Technologies. Ždiar (SK), 17.09.2012-21.09.2012]
R&D Projects: GA ČR GA201/08/0802
Grant - others:GA CTU(CZ) SGS12/157/OHK4/2T/14
Institutional support: RVO:67985807
Keywords : evolutionary optimization * fitness evaluation * surrogate modelling * Gaussian process * active learning
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0007332File Download Size Commentary Version Access a0384885.pdf 0 878 KB Publisher’s postprint require