Výsledky vyhledávání
- 1.0587051 - ÚI 2025 eng C - Konferenční příspěvek (zahraniční konf.)
Kadlecová, Gabriela - Lukasik, J. - Pilát, Martin - Vidnerová, Petra - Safari, M. - Neruda, Roman - Hutter, F.
Surprisingly Strong Performance Prediction with Neural Graph Features.
[ICML 2024: International Conference on Machine Learning /41./. Vienna (AT), 21.07.2024-27.07.2024]
Grant CEP: GA ČR(CZ) GA22-02067S
Výzkumná infrastruktura: e-INFRA CZ II - 90254
Institucionální podpora: RVO:67985807
Klíčová slova: Neural architecture search * Zero-cost proxies * Performance prediction
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: https://hdl.handle.net/11104/0354383Název souboru Staženo Velikost Komentář Verze Přístup 0587051-fin.pdf 6 1.7 MB CC BY 4.0 Autorský preprint povolen - 2.0580817 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Kalina, Jan - Janáček, Patrik
Robustness Aspects of Optimized Centroids.
Classification and Data Science in the Digital Age. Cham: Springer, 2023 - (Brito, P.; Dias, J.; Lausen, B.; Montanari, A.; Nugent, R.), s. 193-201. Studies in Classification, Data Analysis, and Knowledge Organization. ISBN 978-3-031-09033-2.
[IFCS 2022: The Conference of the International Federation of Classification Societies /17./. Porto (PT), 19.07.2022-23.07.2022]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Image processing * Optimized centroids * Robustness * Sparsity * Low-energy replacements
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.1007/978-3-031-09034-9_22
Trvalý link: https://hdl.handle.net/11104/0349582Název souboru Staženo Velikost Komentář Verze Přístup 0580817-afinoa.pdf 1 283 KB OA CC BY 4.0 Vydavatelský postprint povolen - 3.0577167 - ÚI 2024 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Mushtaq, U. - Cabessa, Jérémie
Argument Mining with Modular BERT and Transfer Learning.
IJCNN 2023 Conference Proceedings. Piscataway: IEEE, 2023, č. článku 191330. ISBN 978-1-6654-8867-9.
[IJCNN 2023: International Joint Conference on Neural Networks /36./. Queensland (AU), 18.06.2023-23.06.2023]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Argument Mining * BERT * Features as Text * modular BERT * NLP * Transfer Learning
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: https://hdl.handle.net/11104/0346396 - 4.0577080 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Kalina, Jan - Vidnerová, Petra
Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients.
Artificial Neural Networks and Machine Learning – ICANN 2023. Proceedings, Part IX. Cham: Springer, 2023 - (Iliadis, L.; Papaleonidas, A.; A, P.; Jayne, C.), s. 200-212. Lecture Notes in Computer Science, 14262. ISBN 978-3-031-44200-1. ISSN 0302-9743.
[ICANN 2023: International Conference on Artificial Neural Networks /32./. Heraklion (GR), 26.09.2023-29.09.2023]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Correlation coefficient * Outliers * Robustness * Image analysis * Approximate computing
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-44201-8_17
Trvalý link: https://hdl.handle.net/11104/0346342 - 5.0577075 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Kůrková, Věra
Approximation of Binary-Valued Functions by Networks of Finite VC Dimension.
Artificial Neural Networks and Machine Learning – ICANN 2023. Proceedings, Part I. Cham: Springer, 2023 - (Iliadis, L.; Papaleonidas, A.; Angelov, P.; Jayne, C.), s. 483-490. Lecture Notes in Computer Science, 14254. ISBN 978-3-031-44206-3. ISSN 0302-9743.
[ICANN 2023: International Conference on Artificial Neural Networks /32./. Heraklion (GR), 26.09.2023-29.09.2023]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: approximation by neural networks * bounds on approximation errors * VC dimension * growth function * high-dimensional probability * concentration inequalities * method of bounded differences
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-44207-0_40
Trvalý link: https://hdl.handle.net/11104/0346341 - 6.0573373 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Šíma, Jiří - Vidnerová, Petra - Mrázek, V.
Energy Complexity Model for Convolutional Neural Networks.
Artificial Neural Networks and Machine Learning – ICANN 2023. Proceedings, Part X. Cham: Springer, 2023 - (Iliadis, L.; Papaleonidas, A.; Angelov, P.; Jayne, C.), s. 186-198. Lecture Notes in Computer Science, 14263. ISBN 978-3-031-44203-2. ISSN 0302-9743.
[ICANN 2023: International Conference on Artificial Neural Networks /32./. Heraklion (GR), 26.09.2023-29.09.2023]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Convolutional neural networks * Energy complexity * Dataflow
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-44204-9_16
Trvalý link: https://hdl.handle.net/11104/0343835 - 7.0573359 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Šíma, Jiří - Cabessa, Jérémie
Energy Complexity of Fully-Connected Layers.
Advances in Computational Intelligence. IWANN 2023 Proceedings, Part I. Cham: Springer, 2023 - (Rojas, I.; Joya, G.; Catala, A.), s. 3-15. Lecture Notes in Computer Science, 14134. ISBN 978-3-031-43084-8. ISSN 0302-9743.
[IWANN 2023: International Work-Conference on Artificial Neural Networks /17./. Ponta Delgada (PT), 19.06.2023-21.06.2023]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Convolutional neural networks * Energy complexity * Dataflow
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-43085-5_1
Trvalý link: https://hdl.handle.net/11104/0343823 - 8.0568613 - ÚI 2024 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Vidnerová, Petra - Kalina, Jan
Multi-objective Bayesian Optimization for Neural Architecture Search.
Artificial Intelligence and Soft Computing. 21st International Conference, ICAISC 2022. Proceedings, Part I. Cham: Springer, 2023 - (Rutkowski, L.; Scherer, R.; Korytkowski, M.; Pedrycz, W.; Tadeusiewicz, R.; Zurada, J.), s. 144-153. Lecture Notes in Computer Science, 13588. ISBN 978-3-031-23491-0. ISSN 0302-9743.
[ICAISC 2022: International Conference on Artificial Intelligence and Soft Computing /21./. Zakopane (PL), 18.06.2022-22.06.2022]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: Bayesian optimization * Multi-objective optimization * Neural architecture search * Number of parameters
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-3-031-23492-7_13
Trvalý link: https://hdl.handle.net/11104/0339882 - 9.0564516 - ÚI 2023 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Kalina, Jan - Neoral, Aleš
Recent Trends in Machine Learning with a Focus on Applications in Finance.
The 16th International Days of Statistics and Economics Conference Proceedings. Praha: Melandrium, 2022 - (Löster, T.; Pavelka, T.), s. 187-196. ISBN 978-80-87990-29-2.
[International Days of Statistics and Economics /16./. Praha (CZ), 08.09.2022-10.09.2022]
Grant CEP: GA ČR(CZ) GA22-02067S
Grant ostatní: GA ČR(CZ) GA21-19311S
Institucionální podpora: RVO:67985807
Klíčová slova: statistical learning * automated machine learning * metalearning * financial data analysis * stock market investing
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://msed.vse.cz/msed_2022/article/577-Kalina-Jan-paper.pdf
Trvalý link: https://hdl.handle.net/11104/0336174 - 10.0562588 - ÚI 2024 RIV SG eng C - Konferenční příspěvek (zahraniční konf.)
Cabessa, Jérémie - Hernault, H. - Lamonato, Y. - Rochat, M. - Levy, Y. Z.
The EsnTorch Library: Effcient Implementation of Transformer-Based Echo State Networks.
Neural Information Processing. 29th International Conference, ICONIP 2022, Proceedings, Part VII. Singapore: Springer, 2023 - (Tanveer, M.; Agarwal, A.; Ozawa, S.; Ekbal, A.; Jatowt, A.), s. 235-246. Communications in Computer and Information Science, 1794. ISBN 978-981991647-4. ISSN 1865-0929.
[ICONIP 2022: The International Conference on Neural Information Processing /29./. Indore / Virtual (IN), 22.11.2022-26.11.2022]
Grant CEP: GA ČR(CZ) GA22-02067S
Institucionální podpora: RVO:67985807
Klíčová slova: reservoir computing * echo state networks * natural language processing (NLP) * text classification * transformers * BERT * python library * Hugging Face
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://dx.doi.org/10.1007/978-981-99-1648-1_20
Trvalý link: https://hdl.handle.net/11104/0334891