Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Podpečan, Vid"'
Autor:
Marzidovšek, Martin, Francé, Janja, Podpečan, Vid, Vadnjal, Stanka, Dolenc, Jožica, Mozetič, Patricija
In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of toxic phyto
Externí odkaz:
http://arxiv.org/abs/2405.04372
BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists' needs and allows them to study the topology and dynamics of ecological networks as well as apply selected machine learning
Externí odkaz:
http://arxiv.org/abs/2203.11687
Autor:
Bleker, Carissa, Ramšak, Živa, Bittner, Andras, Podpečan, Vid, Zagorščak, Maja, Wurzinger, Bernhard, Baebler, Špela, Petek, Marko, Križnik, Maja, van Dieren, Annelotte, Gruber, Juliane, Afjehi-Sadat, Leila, Weckwerth, Wolfram, Županič, Anže, Teige, Markus, Vothknecht, Ute C., Gruden, Kristina
Publikováno v:
In Plant Communications 10 June 2024 5(6)
Autor:
Podpečan, Vid
Publikováno v:
Multimodal Technologies & Interaction; Sep2023, Vol. 7 Issue 9, p85, 14p
Autor:
Kranjc, Janez, Smailović, Jasmina, Podpečan, Vid, Grčar, Miha, Žnidaršič, Martin, Lavrač, Nada
Publikováno v:
In Information Processing and Management March 2015 51(2):187-203
Publikováno v:
Proceedings of the 6th International Workshop on Computational Terminology (COMPUTERM 2020)
We present the NetViz terminology visualization tool and apply it to the domain modeling of karstology, a subfield of geography studying karst phenomena. The developed tool allows for high-performance online network visualization where the user can u
Akademický článek
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This paper describes TermEnsembler, a bilingual term extraction and alignment system utilizing a novel ensemble learning approach to bilingual term alignment. In the proposed system, the processing starts with monolingual term extraction from a langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::b64af9f5e30c61780493c74e5878e950
https://zenodo.org/record/3371071
https://zenodo.org/record/3371071
Autor:
Xiao, Ping, Toivonen, Hannu, Gross, Oskar, Cardoso, Amílcar, Correia, João, Machado, Penousal, Martins, Pedro, Goncalo Oliveira, Hugo, Sharma, Rahul, Pinto, Alexandre Miguel, Díaz, Alberto, Francisco, Virginia, Gervás, Pablo, Hervás, Raquel, León, Carlos, Forth, Jamie, Purver, Matthew, Wiggins, Geraint A., Miljković, Dragana, Podpečan, Vid, Pollak, Senja, Kralj, Jan, Žnidaršič, Martin, Bohanec, Marko, Lavrač, Nada, Urbančič, Tanja, van der Velde, Frank, Battersby, Stuart
Computational creativity seeks to understand computational mechanisms that can be characterized as creative. The creation of new concepts is a central challenge for any creative system. In this paper, we outline different approaches to computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::a7c65649af031825ce0396756b6038fc
Publikováno v:
Terminology