Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ľubomír Antoni"'
Publikováno v:
Fuzzy Sets and Systems. 451:361-384
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80bf834515a4787867ba35435ef8b579
https://doi.org/10.1016/j.fss.2022.05.015
https://doi.org/10.1016/j.fss.2022.05.015
Publikováno v:
Information Sciences. 606:21-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cdbd25046a9247fd4f5dfcdaeb53c48
https://doi.org/10.1016/j.ins.2022.05.047
https://doi.org/10.1016/j.ins.2022.05.047
Autor:
'Ľubomír Antoni, Erik Bruoth, Alexander Szabari, Gabriela Vozáriková, Peter Bugata, Peter Bugata Jr, Dávid Gajdoš, Dávid Hudák, Vladimíra Kmečová, Monika Staňková\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bf147c627390c76514437fc628b0fbb
https://doi.org/10.22489/cinc.2022.067
https://doi.org/10.22489/cinc.2022.067
Autor:
Ľubomír Antoni, Erik Bruoth, Peter Bugata, Peter Bugata Jr, Dávid Gajdoš, Šimon Horvát, Dávid Hudák, Vladimíra Kmečová, Richard Staňa, Monika Staňková, Alexander Szabari, Gabriela Vozáriková
Publikováno v:
Physiological Measurement. 43:064008
Objective. Within the PhysioNet/Computing in Cardiology Challenge 2021, we focused on the design of a machine learning algorithm to identify cardiac abnormalities from electrocardiogram recordings (ECGs) with a various number of leads and to assess t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58a5caa21625a7bcf89fa9ca9c096b07
https://doi.org/10.1088/1361-6579/ac69a8
https://doi.org/10.1088/1361-6579/ac69a8
Autor:
Ľubomír Šnajder, Angelika Hanesz, Stanislav Krajci, Ľubomír Antoni, Danka Bruothová, Ján Guniš, Zuzana Tkáčová, Radim Navrátil
Publikováno v:
Towards Digital Intelligence Society ISBN: 9783030638719
The exploration of structures, mappings and tools which allow us to analyze the data in various forms is a very actual and challenging task in a knowledge based approach towards digital intelligence society. The main objectives of our chapter are to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc3aefaf124f38cac3f59101e88a6fcd
https://doi.org/10.1007/978-3-030-63872-6_8
https://doi.org/10.1007/978-3-030-63872-6_8
Autor:
Reyna, Matthew A., Kiarashi, Yashar, Elola, Andoni, Oliveira, Jorge, Renna, Francesco, Gu, Annie, Perez Alday, Erick A., Sadr, Nadi, Sharma, Ashish, Kpodonu, Jacques, Mattos, Sandra, Coimbra, Miguel T., Sameni, Reza, Rad, Ali Bahrami, Clifford, Gari D.
Publikováno v:
PLoS Digital Health; 9/11/2023, Vol. 2 Issue 9, p1-22, 22p
Publikováno v:
Mathematics (2227-7390). Feb2022, Vol. 10 Issue 4, pN.PAG-N.PAG. 1p.
Formal concept analysis (FCA) is a mathematical formalism based on order and lattice theory for data analysis. It has found applications in a broad range of neighboring fields including Semantic Web, data mining, knowledge representation, data visual
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A26885
https://tud.qucosa.de/api/qucosa%3A26885/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A26885/attachment/ATT-0/
This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerla
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full pa