Institute of Computer Science of the CAS, v. v. i.

Project results GA18-18080S

Records found: 12

0498868 - ÚI 2020 RIV US eng J - Journal Article
Bajer, L. - Pitra, Z. - Repický, J. - Holeňa, Martin
Gaussian Process Surrogate Models for the CMA Evolution Strategy.
Evolutionary Computation. Roč. 27, č. 4 (2019), s. 665-697. ISSN 1063-6560
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
GA MŠk(CZ) LM2015042
Institutional Support: RVO:67985807
Keywords: Black-box optimization * CMA-ES * Gaussian processes * evolution strategies * surrogate modeling
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.469, year: 2018
http://dx.doi.org/10.1162/evco_a_00244
Permanent link: http://hdl.handle.net/11104/0291157

0506867 - ÚI 2020 RIV US eng A - Abstract
Bajer, Lukáš - Pitra, Zbyněk - Repický, Jakub - Holeňa, Martin
Gaussian Process Surrogate Models for the CMA-ES.
GECCO '19. Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York: ACM, 2019. s. 17-18. ISBN 978-1-4503-6748-6.
[GECCO 2019: The Genetic and Evolutionary Computation Conference. 13.07.2019-17.07.2019, Prague]
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
Institutional Support: RVO:67985807
Keywords: black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent link: http://hdl.handle.net/11104/0298001

0505764 - ÚI 2020 RIV NL eng J - Journal Article
Dropka, N. - Holeňa, Martin - Ecklebe, S. - Frank-Rotsch, C. - Winkler, J.
Fast Forecasting of VGF Crystal Growth Process by Dynamic Neural Networks.
Journal of Crystal Growth. Roč. 521, 1 September (2019), s. 9-14. ISSN 0022-0248
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional Support: RVO:67985807
Keywords: Computer simulation * Fluid flows * Gradient freeze technique
Subject RIV: BM - Solid Matter Physics & Magnetism
Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 1.573, year: 2018
http://dx.doi.org/10.1016/j.jcrysgro.2019.05.022
Dropka, N.
Permanent link: http://hdl.handle.net/11104/0297153

0512089 - ÚI 2020 RIV DE eng C - Proceedings Paper (International conf.)
Fanta, M. - Pulc, P. - Holeňa, Martin
Rules extraction from neural networks trained on multimedia data.
ITAT 2019: Information Technologies – Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2019 - (Barančíková, P.; Holeňa, M.; Horváth, T.; Pleva, M.; Rosa, R.), s. 26-35. CEUR Workshop Proceeding, 2473. ISSN 1613-0073.
[ITAT 2019: Conference Information Technologies - Applications and Theory /19./. Donovaly (SK), 20.09.2019-24.09.2019]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional Support: RVO:67985807
Keywords: artificial neural networks * multilayer perceptrons * deep networks * rules extraction * multimedia data
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2473/paper4.pdf
Permanent link: http://hdl.handle.net/11104/0302294

0494104 - ÚI 2019 RIV DE eng C - Proceedings Paper (International conf.)
Keruľ-Kmec, O. - Pulc, Petr - Holeňa, Martin
Semisupervised Segmentation of UHD Video.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 100-107. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional Support: RVO:67985807
Keywords: UHD video * Scene segmentation * Keypoint detector * Semisupervised classification * Cluster regularization * C-means
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/100.pdf
Permanent link: http://hdl.handle.net/11104/0287344

0494103 - ÚI 2019 RIV DE eng C - Proceedings Paper (International conf.)
Kožusznik, J. - Pulc, Petr - Holeňa, Martin
Sentiment Analysis from Utterances.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 92-99. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional Support: RVO:67985807
Keywords: sentiment analysis * MPEG-7 * classification of utterances * Berlin database of emotional speech
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/92.pdf
Permanent link: http://hdl.handle.net/11104/0287341

0509320 - ÚI 2020 RIV DE eng C - Proceedings Paper (International conf.)
Pitra, Zbyněk - Bajer, Lukáš - Holeňa, Martin
Knowledge-based Selection of Gaussian Process Surrogates.
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. 48-63. 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 GA17-01251S; GA ČR(CZ) GA18-18080S
ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2015042
Institutional Support: RVO:67985807
Keywords: Benchmarking * Black-box optimization * Gaussian process * Landscape analysis
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2444/ialatecml_paper4.pdf
Permanent link: http://hdl.handle.net/11104/0300063

0508171 - ÚI 2020 RIV US eng C - Proceedings Paper (International conf.)
Pitra, Zbyněk - Repický, Jakub - Holeňa, Martin
Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy.
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. New York: ACM, 2019 - (López-Ibáñez, M.), s. 691-699. ISBN 978-1-4503-6111-8.
[GECCO 2019: The Genetic and Evolutionary Computation Conference. Prague (CZ), 13.07.2019-17.07.2019]
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
GA MŠk(CZ) LM2015042
Institutional Support: RVO:67985807
Keywords: black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process * landscape analysis
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent link: http://hdl.handle.net/11104/0299146

0497814 - ÚI 2019 RIV US eng C - Proceedings Paper (International conf.)
Pulc, Petr - Holeňa, Martin
Hierarchical Motion Tracking Using Matching of Sparse Features.
SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems. Los Alamitos: IEEE Computer Society CPS, 2018 - (Sanniti di Baja, G.; Gallo, L.; Yetongnon, K.; Dipanda, A.; Castrillón-Santana, M.; Chbeir, R.), s. 449-456. ISBN 978-1-5386-9385-8.
[SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./. Las Palmas de Gran Canaria (ES), 26.11.2018-29.11.2018]
R&D Projects: GA ČR(CZ) GA18-18080S
ČVUT(CZ) SGS17/210/OHK3/3T/18
Institutional Support: RVO:67985807
Keywords: motion tracking * image feature detection * image feature description * GPU * CUDA * ORB * Ultra HD
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent link: http://hdl.handle.net/11104/0290299

0509321 - ÚI 2020 RIV DE eng C - Proceedings Paper (International conf.)
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
Subject RIV: IN - Informatics, Computer Science
Obor OECD: 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/11104/0300071

0493293 - ÚI 2019 RIV IE eng C - Proceedings Paper (International conf.)
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
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
ttps://www.ies.uni-kassel.de/p/ial2018/ialatecml2018.pdf
Permanent link: http://hdl.handle.net/11104/0286680

0512092 - ÚI 2020 RIV DE eng C - Proceedings Paper (International conf.)
Tumpach, J. - Krčál, M. - Holeňa, Martin
Deep networks in online malware detection.
ITAT 2019: Information Technologies – Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2019 - (Barančíková, P.; Holeňa, M.; Horváth, T.; Pleva, M.; Rosa, R.), s. 90-98. CEUR Workshop Proceeding, 2473. ISSN 1613-0073.
[ITAT 2019: Conference Information Technologies - Applications and Theory /19./. Donovaly (SK), 20.09.2019-24.09.2019]
R&D Projects: GA ČR(CZ) GA18-18080S
GA MŠk(CZ) LM2015042
Institutional Support: RVO:67985807
Keywords: artificial neural networks * multilayer perceptrons * deep networks * semi-supervised learning * malware detection
Subject RIV: IN - Informatics, Computer Science
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2473/paper7.pdf
Permanent link: http://hdl.handle.net/11104/0302298