Výsledky vyhledávání
- 1.0586674 - ÚI 2025 DE eng A - Abstrakt
Kathpalia, Aditi - Manshour, Pouya - Paluš, Milan
Compression-complexity based estimation of Causality: Applications in Earth and Climate Sciences
.
EGU General Assembly 2024 Abstracts. Munich: European Geosciences Union, 2024.
[EGU General Assembly 2024. 14.04.2024-19.04.2024, Vienna]
Institucionální podpora: RVO:67985807
https://meetingorganizer.copernicus.org/EGU24/EGU24-14429.html
Trvalý link: https://hdl.handle.net/11104/0354109Název souboru Staženo Velikost Komentář Verze Přístup 0586674-aoa.pdf 0 296 KB OA CC BY 4.0 Vydavatelský postprint povolen - 2.0573188 - ÚI 2024 SK eng A - Abstrakt
Paluš, Milan - Kathpalia, Aditi - Brunovský, M.
EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects.
Program of the Measurement 2023 Conference. Smolenice, 2023.
[MEASUREMENT 2023: International Conference on Measurement /14./. 29.05.2023-31.05.2023, Smolenice]
Institucionální podpora: RVO:67985807
https://www.measurement.sk/M2023/doc/Scientific_programe.pdf
Trvalý link: https://hdl.handle.net/11104/0343648 - 3.0570107 - ÚI 2023 IN eng A - Abstrakt
Kathpalia, Aditi
Causality and machine learning.
International (Online) Workshop on Reservoir Computing & Neural Networks. Confirmed Speakers. Madras: Complex Systems & Dynamics, Indian Institute of Technology Madras, 2022.
[International (Online) Workshop on Reservoir Computing & Neural Networks. 23.11.2022-24.11.2022, Madras / virtual]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://web.iitm.ac.in/ccsd/workshops/reservoir/index.html
Trvalý link: https://hdl.handle.net/11104/0341457 - 4.0570102 - ÚI 2023 DE eng A - Abstrakt
Kathpalia, Aditi - Nagaraj, N.
Multivariate Granger Causal Discovery for Compressively Sensed Signals.
Ordinal methods: Concepts, applications, new developments and challenges. Scientific Program. Dresden: Max Planck Institute for the Physics of Complex Systems, 2022.
[Ordinal methods: Concepts, applications, new developments and challenges. 28.02.2022-04.03.2022]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.pks.mpg.de/orpatt22/scientific-program
Trvalý link: https://hdl.handle.net/11104/0341455 - 5.0570101 - ÚI 2023 GB eng A - Abstrakt
Kathpalia, Aditi - Nagaraj, N.
Causal Properties of Synchronizing Systems.
Dynamics Days Europe 2022. Abstract Book. Aberdeen: University of Aberdeen, 2022. s. 151-151.
[Dynamics Days Europe 2022. 22.08.2022-26.08.2022, Aberdeen]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.abdn.ac.uk/events/documents/Dynamics%20Days%20Abstract%20Book%202022%20online%20version%20(002).pdf
Trvalý link: https://hdl.handle.net/11104/0341454 - 6.0570099 - ÚI 2023 GB eng A - Abstrakt
Kathpalia, Aditi - Manshour, Pouya - Paluš, Milan
Robust Causal Inference for Irregularly Sampled Time Series from Dynamical Systems.
Dynamics Days Europe 2022. Abstract Book. Aberdeen: University of Aberdeen, 2022. s. 125-125.
[Dynamics Days Europe 2022. 22.08.2022-26.08.2022, Aberdeen]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.abdn.ac.uk/events/documents/Dynamics%20Days%20Abstract%20Book%202022%20online%20version%20(002).pdf
Trvalý link: https://hdl.handle.net/11104/0341452 - 7.0570098 - ÚI 2023 DE eng A - Abstrakt
Kathpalia, Aditi - Nagaraj, N.
Multivariate Granger Causal Discovery for Compressively Sensed Signals.
Inverse Network Dynamics - Network structure and function from nonlinear dynamics and time series data. Scientific Program. Dresden: Max Planck Institute for the Physics of Complex Systems, 2022.
[Inverse Network Dynamics - Network structure and function from nonlinear dynamics and time series data. 12.09.2022-21.09.2022, Dresden]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.pks.mpg.de/netdat22/scientific-program
Trvalý link: https://hdl.handle.net/11104/0341450 - 8.0570096 - ÚI 2023 ES eng A - Abstrakt
Nagaraj, N. - Kathpalia, Aditi
Strengths of Effort-To-Compress Complexity for analyzing time series from complex systems.
Conference on Complex Systems 2022 - Programme at a Glance, Paralell Sessions. Palma de Mallorca: Conference on Complex Systems, 2022.
[CCS 2022: Conference on Complex Systems 2022. 17.10.2022-21.10.2022, Palma de Mallorca]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
https://www.ccs2022.org/images/Poster%20Sessions%20-%20CCS22-.pdf
Trvalý link: https://hdl.handle.net/11104/0341449 - 9.0570094 - ÚI 2023 ES eng A - Abstrakt
Kathpalia, Aditi - Manshour, Pouya - Paluš, Milan
Permutation Compression-Complexity Causality for robust causal inference from irregularly sampled time series.
Conference on Complex Systems 2022 - Programme at a Glance, Paralell Sessions. Palma de Mallorca: Conference on Complex Systems, 2022.
[CCS 2022: Conference on Complex Systems 2022. 17.10.2022-21.10.2022, Palma de Mallorca]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
https://www.ccs2022.org/images/site/ParallelSessions-CCS22-.pdf
Trvalý link: https://hdl.handle.net/11104/0341448 - 10.0558291 - ÚI 2023 RIV DE eng A - Abstrakt
Kathpalia, Aditi - Manshour, Pouya - Paluš, Milan
Robust Causal Inference for Irregularly Sampled Time Series: Applications in Climate and Paleoclimate Data Analysis.
EGU General Assembly 2022. Göttingen: European Geosciences Union, 2022.
[EGU General Assembly 2022. 23.05.2022-27.05.2022, Vienna / Online]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
Klíčová slova: causality * compression complexity * ordina patterns * Irregularly Sampled Time Series * paleoclimatology
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://meetingorganizer.copernicus.org/EGU22/EGU22-4795.html
Trvalý link: http://hdl.handle.net/11104/0332021Název souboru Staženo Velikost Komentář Verze Přístup 0558291-aoa.pdf 1 299 KB OA CC BY 4.0 Vydavatelský postprint povolen