Search results
- 1.0578518 - ÚI 2025 DE eng J - Journal Article
Bodík, Juraj - Paluš, Milan - Pawlas, Z.
Causality in extremes of time series.
Extremes. Roč. 27, č. 1 (2024), s. 67-121. ISSN 1386-1999. E-ISSN 1572-915X
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : Granger causality * Causal inference * Nonlinear time series * Causality-in-tail * Extreme value theory * Heavy tails
Impact factor: 1.3, year: 2022
Method of publishing: Open access
https://doi.org/10.1007/s10687-023-00479-5
Permanent Link: https://hdl.handle.net/11104/0347507 - 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 - 3.0573671 - ÚI 2024 RIV SK eng C - Conference Paper (international conference)
Bhattacharjee, Madhurima - Kathpalia, Aditi - Brunovský, M. - Paluš, Milan
Phase-based Causality Analysis of EEG in Treatment of Major Depressive Disorder.
2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023 - (Dvurečenskij, A.; Maňka, J.; Švehlíková, J.; Witkovský, V.), s. 84-87. 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 : Brain Connectivity * Phase-Based Causality * Eeg * Major Depressive Disorder * Mutual Information
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/MEASUREMENT59122.2023.10164427
Permanent Link: https://hdl.handle.net/11104/0344053 - 4.0572210 - ÚI 2024 RIV US eng J - Journal Article
Kathpalia, Aditi - Nagaraj, N.
Granger causality for compressively sensed sparse signals.
Physical Review E. Roč. 107, č. 3 (2023), č. článku 034308. ISSN 2470-0045. E-ISSN 2470-0053
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : Granger causality * compressed sensing * sparse signals * circulant * toeplitz * structured sensing matrices * neural spike train
OECD category: Applied mathematics
Impact factor: 2.4, year: 2022
Method of publishing: Limited access
https://dx.doi.org/10.1103/PhysRevE.107.034308
Permanent Link: https://hdl.handle.net/11104/0342984
Research data: Preprint - ArXiv.org - 5.0571239 - PSÚ 2024 RIV GB eng J - Journal Article
Havrda, M. - Klocek, Adam
Well-being impact assessment of artificial intelligence-A search for causality and proposal for an open platform for well-being impact assessment of AI systems.
Evaluation and Program Planning. Roč. 99, srpen (2023), č. článku 102294. ISSN 0149-7189. E-ISSN 1873-7870
Institutional support: RVO:68081740
Keywords : artificial intelligence * well-being * impact assessment * causality * open science * complexity
OECD category: Psychology (including human - machine relations)
Impact factor: 1.6, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S014971892300071X?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0342511File Download Size Commentary Version Access 0571239 J Klocek_Well-Being Impact Assessment.pdf 2 1.1 MB Author´s preprint require - 6.0569861 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Jalaldoust, A. - Hlaváčková-Schindler, Kateřina - Plant, C.
Causal Discovery in Hawkes Processes by Minimum Description Length.
Proceedings of the 36th AAAI Conference on Artificial Intelligence. Palo Alto: AAAI Press, 2022, s. 6978-6987. Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36 No. 6: AAAI-22 Technical Tracks 6. ISBN 978-1-57735-876-3. ISSN 2159-5399. E-ISSN 2374-3468.
[The AAAI Conference on Artificial Intelligence /36./. Online (US), 22.02.2022-01.03.2022]
R&D Projects: GA ČR(CZ) GA19-16066S
Institutional support: RVO:67985807
Keywords : Granger causality * minimum description length principle * probability distributions * Hawkes process
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://ojs.aaai.org/index.php/AAAI/article/view/20656/20415
Permanent Link: https://hdl.handle.net/11104/0341202 - 7.0563344 - ÚI 2024 RIV US eng J - Journal Article
Marmolejo-Ramos, F. - Tejo, M. - Brabec, Marek - Kužílek, J. - Joksimovic, S. - Kovanovic, V. - González, J. - Kneib, T. - Bühlmann, P. - Kook, L. - Briseño-Sánchez, G. - Ospina, R.
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics.
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. Roč. 13, č. 1 (2023), č. článku e1479. ISSN 1942-4787. E-ISSN 1942-4795
Institutional support: RVO:67985807
Keywords : causal regularization * causality * educational data mining * generalized additive models for location, scale and shape * learning analytics * machine learning * statistical learning * statistical modeling * supervised learning
OECD category: Statistics and probability
Impact factor: 7.8, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.1002/widm.1479
Permanent Link: https://hdl.handle.net/11104/0335333File Download Size Commentary Version Access 0563344-aoaonl.pdf 3 3.6 MB OA CC BY 4.0 Publisher’s postprint open-access - 8.0561396 - ÚTIA 2023 RIV CN eng J - Journal Article
Shahzad, S. J. H. - Bouri, E. - Krištoufek, Ladislav - Saeed, T.
Impact of the COVID‐19 outbreak on the US equity sectors: Evidence from quantile return spillovers.
Financial Innovation. Roč. 7, č. 1 (2021), č. článku 14. E-ISSN 2199-4730
R&D Projects: GA ČR GA20-17295S
Institutional support: RVO:67985556
Keywords : Quantile return spillovers * US equity sector indices * COVID-19 outbreak * Granger causality * Global risk aversion
OECD category: Economic Theory
Impact factor: 6.793, year: 2021
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2022/E/kristoufek-0561396.pdf https://jfin-swufe.springeropen.com/articles/10.1186/s40854-021-00228-2
Permanent Link: https://hdl.handle.net/11104/0334059 - 9.0558332 - ÚI 2023 RIV DE eng A - Abstract
Paluš, Milan
Big whirls talking to smaller whirls: detecting cross-scale information flow.
EGU General Assembly 2022. Göttingen: European Geosciences Union, 2022.
[EGU General Assembly 2022. 23.05.2022-27.05.2022, Vienna / Online]
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : causality * time scales * cross-scale interactions * atmospheric dynamics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.5194/egusphere-egu22-9028
Permanent Link: http://hdl.handle.net/11104/0332053File Download Size Commentary Version Access 0558332-aoa.pdf 1 320.3 KB OA CC BY 4.0 Publisher’s postprint open-access - 10.0558310 - ÚI 2023 RIV DE eng A - Abstract
Manshour, Pouya - Papadimitriou, C. - Balasis, G. - Paluš, Milan - Wing, S. - Daglis, I. A. - Donner, R. - Boutsi, A. Z. - Consolini, G. - Kurths, J. - Tsurutani, B. T.
Causality and information transfer in interactions of solar wind, radiation belts and geomagnetic field.
EGU General Assembly 2022. Göttingen: European Geosciences Union, 2022.
[EGU General Assembly 2022. 23.05.2022-27.05.2022, Vienna / Online]
R&D Projects: GA ČR(CZ) GA19-16066S
Grant - others:AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institutional support: RVO:67985807
Keywords : causality * information transfer * space weather
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.5194/egusphere-egu22-10681
Permanent Link: http://hdl.handle.net/11104/0332035File Download Size Commentary Version Access 0558310-aoa.pdf 1 299.2 KB OA CC 4.0 Publisher’s postprint open-access