Výsledky vyhledávání
- 1.0508637 - ÚI 2020 RIV CH eng G - Konferenční sborník (zahraniční konf.)
Tetko, I. V. (ed.) - Kůrková, Věra (ed.) - Karpov, P. (ed.) - Theis, F. (ed.)
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions. Proceedings.
Cham: Springer, 2019. 852 s. Lecture Notes in Computer Science, 11731. ISBN 978-3-030-30492-8. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
Institucionální podpora: RVO:67985807
Klíčová slova: artificial intelligence * computational linguistics * computer networks * machine learning * neural networks * robotics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0299490 - 2.0508636 - ÚI 2020 RIV CH eng G - Konferenční sborník (zahraniční konf.)
Tetko, I. V. (ed.) - Kůrková, Věra (ed.) - Karpov, P. (ed.) - Theis, F. (ed.)
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series. Proceedings, Part IV.
Cham: Springer, 2019. 761 s. Lecture Notes in Computer Science, 11730. ISBN 978-3-030-30489-8. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
Institucionální podpora: RVO:67985807
Klíčová slova: artificial intelligence * computational linguistics * computer networks * machine learning * neural networks * robotics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0299489 - 3.0508635 - ÚI 2020 RIV CH eng G - Konferenční sborník (zahraniční konf.)
Tetko, I. V. (ed.) - Kůrková, Věra (ed.) - Karpov, P. (ed.) - Theis, F. (ed.)
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. Proceedings, Part III.
Cham: Springer, 2019. 733 s. Lecture Notes in Computer Science, 11729. ISBN 978-3-030-30507-9. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
Institucionální podpora: RVO:67985807
Klíčová slova: artificial intelligence * computational linguistics * computer networks * machine learning * neural networks * robotics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0299488 - 4.0508634 - ÚI 2020 RIV CH eng G - Konferenční sborník (zahraniční konf.)
Tetko, I. V. (ed.) - Kůrková, Věra (ed.) - Karpov, P. (ed.) - Theis, F. (ed.)
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Proceedings, Part II.
Cham: Springer, 2019. 807 s. Lecture Notes in Computer Science, 11728. ISBN 978-3-030-30483-6. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
Institucionální podpora: RVO:67985807
Klíčová slova: artificial intelligence * computational linguistics * computer networks * machine learning * neural networks * robotics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0299487 - 5.0508633 - ÚI 2020 RIV CH eng G - Konferenční sborník (zahraniční konf.)
Tetko, I. V. (ed.) - Kůrková, Věra (ed.) - Karpov, P. (ed.) - Theis, F. (ed.)
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. Proceedings, Part I.
Cham: Springer, 2019. 839 s. Lecture Notes in Computer Science, 11727. ISBN 978-3-030-30486-7. ISSN 0302-9743.
[ICANN 2019. International Conference on Artificial Neural Networks /28./. Munich (DE), 17.09.2019-19.09.2019]
Institucionální podpora: RVO:67985807
Klíčová slova: artificial intelligence * computational linguistics * computer networks * machine learning * neural networks * robotics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0299486