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- 1.0557942 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Pitra, Z. - Hanuš, M. - Koza, J. - Tumpach, Jiří - Holeňa, Martin
Interaction between Model and its Evolution Control in Surrogate-assisted CMA Evolution Strategy.
Proceedings Of The 2021 Genetic And Evolutionary Computation Conference (Gecco'21). New York: Association for Computing Machinery, 2021 - (Chicano, F.), s. 528-536. ISBN 978-1-4503-8350-9.
[Gecco 2021: Genetic and Evolutionary Computation Conference. Lille / Online (FR), 10.07.2021-14.07.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * evolution control * CMA-ES
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://dx.doi.org/10.1145/3449639.3459358
Permanent Link: http://hdl.handle.net/11104/0331826 - 2.0555604 - 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 - 3.0548651 - ÚI 2022 RIV US eng C - Conference Paper (international conference)
Pulc, P. - Holeňa, Martin
Unsupervised construction of task-specific datasets for object re-identification.
ICCTA 2021: 2021 7th International Conference on Computer Technology Applications. 2021 Proceedings. New York: Association for Computing Machinery, 2021, s. 66-72. ACM International Conference Proceeding Series. ISBN 978-1-4503-9052-1.
[ICCTA 2021: International Conference on Computer Technology Applications /7./. Vienna / Online (AT), 13.07.2021-15.07.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : Fine-tuning of Object Re-identification * Multiple Object Tracking * Hierarchical Sparse Feature Tracking
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/11104/0324702 - 4.0546251 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Borisov, S. - Dědič, M. - Holeňa, Martin
Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream SVM-Based Classification.
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Mráz, F.; Pardubská, D.; Plátek, M.; Vinař, T.), s. 130-139. ISSN 1613-0073.
[ITAT 2021: Information Technologies - Applications and Theory /21./. Heľpa (SK), 24.09.2021-28.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : graph representation learning * graph neural networks * message-passing networks * Weisfeiler-Lehman isomorphism test * Weisfeiler-Lehman subtree kernel
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper50.pdf
Permanent Link: http://hdl.handle.net/11104/0322814File Download Size Commentary Version Access 0546251-aoa.pdf 2 202.6 KB OA CC BY 4.0 Publisher’s postprint open-access - 5.0546161 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Tumpach, Jiří - Kalina, Jan - Holeňa, Martin
A Comparison of Regularization Techniques for Shallow Neural Networks Trained on Small Datasets.
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Mráz, F.; Pardubská, D.; Plátek, M.; Vinař, T.), s. 94-103. ISSN 1613-0073.
[ITAT 2021: Information Technologies - Applications and Theory /21./. Heľpa (SK), 24.09.2021-28.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S; GA ČR(CZ) GA19-05704S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : artificial neural networks * regularization * robustness * optimization
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper38.pdf
Permanent Link: http://hdl.handle.net/11104/0322710File Download Size Commentary Version Access 0546161-aoa.pdf 1 6.1 MB OA CC BY 4.0 Publisher’s postprint open-access - 6.0546157 - ÚI 2022 RIV DE eng C - Conference Paper (international conference)
Koza, J. - Tumpach, J. - Pitra, Z. - Holeňa, Martin
Combining Gaussian Processes and Neural Networks in Surrogate Modeling for Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 21st Conference Information Technologies – Applications and Theory (ITAT 2021). Aachen: Technical University & CreateSpace Independent Publishing, 2021 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Mráz, F.; Pardubská, D.; Plátek, M.; Vinař, T.), s. 29-38. ISSN 1613-0073.
[ITAT 2021: Information Technologies - Applications and Theory /21./. Heľpa (SK), 24.09.2021-28.09.2021]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : black-box optimization * surrogate modeling * 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://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper27.pdf
Permanent Link: http://hdl.handle.net/11104/0322706File Download Size Commentary Version Access 0546157-aoa.pdf 2 1.7 MB OA CC BY 4.0 Publisher’s postprint open-access - 7.0536614 - 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 - 8.0536612 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Pitra, Zbyněk - Holeňa, Martin
Towards Landscape Analysis in Adaptive Learning of Surrogate Models.
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. 78-83. 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
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Adaptive learning * Optimization strategy * Black-box optimization * Landscape analysis * Surrogate model
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_shortpaper2.pdf
Permanent Link: http://hdl.handle.net/11104/0314364File Download Size Commentary Version Access 0536612-aw.pdf 0 890.1 KB volně online Publisher’s postprint open-access - 9.0533916 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Dědič, M. - Pevný, T. - Bajer, L. - Holeňa, Martin
Loss Functions for Clustering in Multi-instance Learning.
Proceedings of the 20th Conference Information Technologies - Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Holeňa, M.; Horváth, T.; Kelemenová, A.; Mráz, F.; Pardubská, D.; Plátek, M.; Sosík, P.), s. 137-146. CEUR Workshop Proceedings, 2718. ISSN 1613-0073.
[ITAT 2020: Information Technologies - Applications and Theory /20./. Oravská Lesná (SK), 18.09.2020-22.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:GA ČR(CZ) GA18-21409S
Program: GA
Institutional support: RVO:67985807
Keywords : Representation learning * Multi-instance learning * Multi-instance clustering * Clustering loss functions * Intrusion detection
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2718/paper05.pdf
Permanent Link: http://hdl.handle.net/11104/0312145File Download Size Commentary Version Access 0533916-aw.pdf 2 595.1 KB CC BY 4.0 Publisher’s postprint open-access - 10.0533909 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Tumpach, Jiří - Holeňa, Martin
Online Malware Detection with Variational Autoencoders.
Proceedings of the 20th Conference Information Technologies - Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Holeňa, M.; Horváth, T.; Kelemenová, A.; Mráz, F.; Pardubská, D.; Plátek, M.; Sosík, P.), s. 122-129. CEUR Workshop Proceedings, 2718. ISSN 1613-0073.
[ITAT 2020: Information Technologies - Applications and Theory /20./. Oravská Lesná (SK), 18.09.2020-22.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Neural networks * Deep learning * Variational autoencoder * Online learning * Malware detection
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2718/paper19.pdf
Permanent Link: http://hdl.handle.net/11104/0312142File Download Size Commentary Version Access 0533909-aw.pdf 2 354.5 KB CC BY 4.0 Publisher’s postprint open-access