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- 1.0585192 - ÚI 2025 RIV ES eng C - Conference Paper (international conference)
Hlinka, Jaroslav - Tomeček, D. - Kolenič, M. - Rehák Bučková, Barbora - Tintěra, J. - Horáček, J. - Španiel, F.
Role of fMRI Denoising for Classification of Schizophrenia from Functional Brain Connectivity.
Advances in Signal Processing and Artificial Intelligence: Proceedings of the 6th International Conference on Advances in Signal Processing and Artificial Intelligence. Barcelona: IFSA Publishing, 2024 - (Yurish, S.), s. 162-165. ISBN 978-84-09-60540-8. ISSN 2938-5350.
[ASPAI 2024: The International Conference on Advances in Signal Processing and Artificial Intelligence /6./. Funchal (PT), 17.04.2024-19.04.2024]
R&D Projects: GA MŠMT(CZ) EH22_008/0004643
Institutional support: RVO:67985807
Keywords : Functional connectivity * Schizophrenia * fMRI * Classification * Denoising
OECD category: Neurosciences (including psychophysiology
https://sensorsportal.com/ASPAI_2024/ASPAI_2024_Proceedings.pdf
Permanent Link: https://hdl.handle.net/11104/0352937File Download Size Commentary Version Access 0585192-a.pdf 5 346.2 KB OA permitted by Proceedings Editor (ASEP archive) Publisher’s postprint open-access - 2.0573674 - ÚI 2024 RIV SK eng C - Conference Paper (international conference)
Hlaváčková-Schindler, Kateřina - Pacher, C. - Plant, C. - Lazarenko, M. - Paluš, Milan - Hlinka, Jaroslav - Kathpalia, Aditi - Brunovský, M.
Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results.
2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023 - (Dvurečenskij, A.; Maňka, J.; Švehlíková, J.; Witkovský, V.), s. 80-83. ISBN 979-8-3503-1218-8.
[MEASUREMENT 2023: International Conference on Measurement /14./. Smolenice (SK), 29.05.2023-31.05.2023]
R&D Projects: GA ČR(CZ) GF21-14727K
Institutional support: RVO:67985807
Keywords : Major Depressive Disorder * Interactive Clustering * Granger Causality * Classification Methods
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164584
Permanent Link: https://hdl.handle.net/11104/0344055 - 3.0474072 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Hlinka, Jaroslav
On Coupling Robust Estimation with Regularization for High-Dimensional Data.
Data Science. Innovative Developments in Data Analysis and Clustering. Cham: Springer, 2017 - (Palumbo, F.; Montanari, A.; Vichi, M.), s. 15-27. Studies in Classification, Data Analysis, and Knowledge Organization. ISBN 978-3-319-55722-9. ISSN 1431-8814.
[IFCS 2015. Bologna (IT), 05.07.2015-08.07.2015]
R&D Projects: GA ČR GA13-23940S
Grant - others:GA MŠk(CZ) ED2.1.00/03.0078; Nadační fond na podporu vědy(CZ) Neuron
Institutional support: RVO:67985807
Keywords : classification * outliers * robustness * sparsity * brain activity
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/11104/0271250File Download Size Commentary Version Access a0474072.pdf 2 192.7 KB Publisher’s postprint require - 4.0473143 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Hlinka, Jaroslav
Implicitly Weighted Robust Classification Applied to Brain Activity Research.
Biomedical Engineering Systems and Technologies. Cham: Springer, 2017 - (Fred, A.; Gamboa, H.), s. 87-107. Communications in Computer and Information Science, 690. ISBN 978-3-319-54716-9. ISSN 1865-0929.
[BIOSTEC 2016 International Joint Conference /9./. Rome (IT), 21.02.2016-23.02.2016]
R&D Projects: GA ČR GA13-23940S
Grant - others:GA MŠk(CZ) LO1611; Nadační fond na podporu vědy(CZ) Neuron
Institutional support: RVO:67985807
Keywords : high-dimensional data * classification analysis * robustness * outliers * regularization
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/11104/0270309File Download Size Commentary Version Access a0473143.pdf 2 315.9 KB Publisher’s postprint require - 5.0457036 - ÚI 2016 RIV PT eng C - Conference Paper (international conference)
Kalina, Jan - Hlinka, Jaroslav
Highly Robust Classification: A Regularized Approach for Omics Data.
BIOSTEC 2016 - BIOINFORMATICS. Vol. 3. Lisbon: Scitepress, 2016, s. 17-26. ISBN 978-989-758-170-0.
[BIOINFORMATICS 2016. International Conference on Bioinformatics Models, Methods and Algorithms /7./. Rome (IT), 21.02.2016-23.02.2016]
R&D Projects: GA ČR GA13-23940S
Grant - others:GA MŠk(CZ) ED2.1.00/03.0078
Institutional support: RVO:67985807
Keywords : high-dimensional data * classification analysis * robustness * outliers * regularization
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0257480File Download Size Commentary Version Access a0457036.pdf 1 2.7 MB Publisher’s postprint require