0570030 - ÚI 2024 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Harikrishnan, N. B. - Kathpalia, Aditi - Nagaraj, N.Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning.
Advances in Neural Information Processing Systems 35 (NeurIPS 2022). New Orleans: Curran Associates, 2022 - (Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; Oh, A.), č. článku 189185. ISBN 978-171387108-8. ISSN 1049-5258.
[NeurIPS 2022: Conference on Neural Information Processing Systems /36./. New Orleans / virtual (US), 28.11.2022-09.12.2022]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
Klíčová slova: neurochaos learning * cause-effect classification * transfer learning * causal machine learning
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://proceedings.neurips.cc/paper_files/paper/2022/file/0d9057d84a9fc37523bf826232ea6820-Paper-Conference.pdf
Trvalý link: https://hdl.handle.net/11104/0341401
