Výsledky vyhledávání

  1. 1.
    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/11104/0349582
    Název souboruStaženoVelikostKomentářVerzePřístup
    0580817-afinoa.pdf1283 KBOA CC BY 4.0Vydavatelský postprintpovolen
     
     
  2. 2.
    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
     
     
  3. 3.
    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
     
     
  4. 4.
    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
     
     
  5. 5.
    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
     
     
  6. 6.
    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
     
     
  7. 7.
    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
     
     
  8. 8.
    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
     
     
  9. 9.
    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
     
     
  10. 10.
    0562585 - ÚI 2024 RIV SG eng C - Konferenční příspěvek (zahraniční konf.)
    Mushtaq, U. - Cabessa, Jérémie
    Argument Classification with BERT plus Contextual, Structural and Syntactic Features as Text.
    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. 622-633. 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: Argument Mining * BERT * Features as Text * NLP * Prompting * Text Classification
    Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://dx.doi.org/10.1007/978-981-99-1639-9_52
    Trvalý link: https://hdl.handle.net/11104/0334888
     
     

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