Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ladislav Peška"'
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0230726 (2020)
State-of-the-art approaches for the prediction of drug-target interactions (DTI) are based on various techniques, such as matrix factorisation, restricted Boltzmann machines, network-based inference and bipartite local models (BLM). In this paper, we
Externí odkaz:
https://doaj.org/article/e42f9979875c49849256d75aad1a8950
Autor:
Ly-Duyen Tran, Manh-Duy Nguyen, Duc-Tien Dang-Nguyen, Silvan Heller, Florian Spiess, Jakub Lokoč, Ladislav Peška, Thao-Nhu Nguyen, Omar Shahbaz Khan, Aaron Duane, Björn þór Jónsson, Luca Rossetto, An-Zi Yen, Ahmed Alateeq, Naushad Alam, Minh-Triet Tran, Graham Healy, Klaus Schoeffmann, Cathal Gurrin
Publikováno v:
IEEE Access. 11:30982-30995
Publikováno v:
MultiMedia Modeling ISBN: 9783031270765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6140762fd48e7ad55163a41fdc0d027
https://doi.org/10.1007/978-3-031-27077-2_50
https://doi.org/10.1007/978-3-031-27077-2_50
Autor:
Jakub Lokoč, Ladislav Peška
Publikováno v:
MultiMedia Modeling ISBN: 9783031270765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74e592431af7c56aa6e6fb98b660e843
https://doi.org/10.1007/978-3-031-27077-2_31
https://doi.org/10.1007/978-3-031-27077-2_31
Autor:
Patrik Veselý, Ladislav Peška
Publikováno v:
MultiMedia Modeling ISBN: 9783031278174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca82eecdad6b3a340aadf0f254d7a50
https://doi.org/10.1007/978-3-031-27818-1_5
https://doi.org/10.1007/978-3-031-27818-1_5
Publikováno v:
2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS).
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Autor:
Ladislav Peška, Jakub Lokoč
Publikováno v:
MultiMedia Modeling ISBN: 9783030983574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5283def6c0e997943520f1153120af41
https://doi.org/10.1007/978-3-030-98358-1_10
https://doi.org/10.1007/978-3-030-98358-1_10
Autor:
Silvan Heller, Viktor Gsteiger, Werner Bailer, Cathal Gurrin, Björn Þór Jónsson, Jakub Lokoč, Andreas Leibetseder, František Mejzlík, Ladislav Peška, Luca Rossetto, Konstantin Schall, Klaus Schoeffmann, Heiko Schuldt, Florian Spiess, Ly-Duyen Tran, Lucia Vadicamo, Patrik Veselý, Stefanos Vrochidis, Jiaxin Wu
Publikováno v:
International journal of multimedia information retrieval Print 11 (2022). doi:10.1007/s13735-021-00225-2
info:cnr-pdr/source/autori:Heller S.; Gsteiger V.; Bailer W.; Gurrin C.; Jonsson B.T.; Lokoc J.; Leibetseder A.; Mejzlik F.; Peska L.; Rossetto L.; Schall K.; Schoeffmann K.; Schuldt H.; Spiess F.; Tran L.D.; Vadicamo L.; Vesely P.; Vrochidis S.; Wu J./titolo:Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown/doi:10.1007%2Fs13735-021-00225-2/rivista:International journal of multimedia information retrieval Print/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
International Journal of Multimedia Information Retrieval volume
International Journal of Multimedia Information Retrieval
info:cnr-pdr/source/autori:Heller S.; Gsteiger V.; Bailer W.; Gurrin C.; Jonsson B.T.; Lokoc J.; Leibetseder A.; Mejzlik F.; Peska L.; Rossetto L.; Schall K.; Schoeffmann K.; Schuldt H.; Spiess F.; Tran L.D.; Vadicamo L.; Vesely P.; Vrochidis S.; Wu J./titolo:Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown/doi:10.1007%2Fs13735-021-00225-2/rivista:International journal of multimedia information retrieval Print/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
International Journal of Multimedia Information Retrieval volume
International Journal of Multimedia Information Retrieval
The Video Browser Showdown addresses difficult video search challenges through an annual interactive evaluation campaign attracting research teams focusing on interactive video retrieval. The campaign aims to provide insights into the performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb202c8039ffc538525bbae44ba60bab
http://www.cnr.it/prodotto/i/465541
http://www.cnr.it/prodotto/i/465541