Search results
- 1.0580726 - ÚI 2024 RIV PT eng C - Conference Paper (international conference)
Korel, L. - Behr, A. S. - Kockmann, N. - Holeňa, Martin
Using Paraphrasers to Detect Duplicities in Ontologies.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2. Setubal: SciTePress, 2023 - (Aveiro, D.; Dietz, J.; Poggi, A.; Bernardino, J.), s. 40-49. ISBN 978-989-758-671-2. ISSN 2184-3228.
[KEOD 2023: Conference on Knowledge Engineering and Ontology Development /15./. Rome / hybrid (IT), 13.11.2023-15.11.2023]
Research Infrastructure: ELIXIR CZ III - 90255; e-INFRA CZ II - 90254
Institutional support: RVO:67985807
Keywords : Classifiers * Duplicity Detection * Ontologies * Paraphrasers * Representation Learning * Semantic Similarity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.5220/0012164500003598
Permanent Link: https://hdl.handle.net/11104/0349480File Download Size Commentary Version Access 0580726-aoa.pdf 1 412.7 KB OA CC BY-NC-ND 4.0 Publisher’s postprint open-access - 2.0579713 - ÚI 2024 RIV DE eng C - Conference Paper (international conference)
Tumpach, J. - Koza, J. - Holeňa, Martin
Improving Optimization With Gaussian Processes in the Covariance Matrix Adaptation Evolution Strategy.
Proceedings of the 23st Conference Information Technologies – Applications and Theory (ITAT 2023). Aachen: Technical University & CreateSpace Independent Publishing, 2023 - (Brejová, B.; Ciencialová, L.; Holeňa, M.; Jajcay, R.; Jajcayová, T.; Lexa, M.; Mráz, F.; Pardubská, D.; Plátek, M.), s. 82-88. CEUR Workshop Proceedings, 3498. ISSN 1613-0073.
[ITAT 2023: Conference Information Technologies – Applications and Theory /23./. Tatranské Matliare (SK), 22.09.2023-26.09.2023]
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : black-box optimization * covariance matrix adaptation evolution strategy * surrogate modelling * Gaussian processes
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ceur-ws.org/Vol-3498/paper10.pdf
Permanent Link: https://hdl.handle.net/11104/0348533 - 3.0565961 - ÚI 2023 RIV DE eng C - Conference Paper (international conference)
Korel, L. - Behr, A. S. - Kockmann, N. - Holeňa, Martin
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts.
Proceedings of the 22st Conference Information Technologies – Applications and Theory (ITAT 2022). Aachen: Technical University & CreateSpace Independent Publishing, 2022 - (Ciencialová, L.; Holeňa, M.; Jajcay, R.; Jajcayová, R.; Mráz, F.; Pardubská, D.; Plátek, M.), s. 44-54. ISSN 1613-0073.
[ITAT 2022: Conference Information Technologies - Applications and Theory /22./. Zuberec (SK), 23.09.2022-27.09.2022]
Institutional support: RVO:67985807
Keywords : ontology * text data * text preprocessing * text representation learning * text classification
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ceur-ws.org/Vol-3226/paper5.pdf
Permanent Link: https://hdl.handle.net/11104/0337426 - 4.0565960 - ÚI 2023 RIV DE eng C - Conference Paper (international conference)
Yorsh, U. - Behr, A. S. - Kockmann, N. - Holeňa, Martin
Text-to-Ontology Mapping via Natural Language Processing Models.
Proceedings of the 22st Conference Information Technologies – Applications and Theory (ITAT 2022). Aachen: Technical University & CreateSpace Independent Publishing, 2022 - (Ciencialová, L.; Holeňa, M.; Jajcay, R.; Jajcayová, R.; Mráz, F.; Pardubská, D.; Plátek, M.), s. 28-34. ISSN 1613-0073.
[ITAT 2022: Conference Information Technologies - Applications and Theory /22./. Zuberec (SK), 23.09.2022-27.09.2022]
Institutional support: RVO:67985807
Keywords : text analysis * language models * fastText * BERT * matching text to ontologies
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ceur-ws.org/Vol-3226/paper3.pdf
Permanent Link: https://hdl.handle.net/11104/0337425 - 5.0562371 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Kalina, Jan - Tumpach, Jiří - Holeňa, Martin
On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data.
2022 International Joint Conference on Neural Networks (IJCNN) Proceedings. Piscataway: IEEE, 2022. ISBN 978-1-7281-8671-9.
[IJCNN 2022: International Joint Conference on Neural Networks /35./. Padua (IT), 18.07.2022-23.07.2022]
R&D Projects: GA ČR(CZ) GA22-02067S
Institutional support: RVO:67985807
Keywords : feedforward networks * nonlinear regression * outliers * robust neural networks * trend estimation
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1109/IJCNN55064.2022.9892838
Permanent Link: https://hdl.handle.net/11104/0334710 - 6.0557942 - 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 - 7.0555604 - 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 - 8.0548651 - 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 - 9.0546251 - 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 - 10.0546161 - 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