Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Vid Podpečan"'
Publikováno v:
Water, Vol 16, Iss 15, p 2160 (2024)
The diversity of phytoplankton influences the structure of and processes that occur in marine ecosystems, with size and other morphological traits being crucial for nutrient uptake and retention in the euphotic zone. Our research introduces a machine
Externí odkaz:
https://doaj.org/article/32492d4b3a5541a481a688e63d40d25b
Autor:
Vid Podpečan
Publikováno v:
Multimodal Technologies and Interaction, Vol 7, Iss 9, p 85 (2023)
This retrospective study presents and summarizes our long-term efforts in the popularization of robotics, engineering, and artificial intelligence (STEM) using the NAO humanoid robot. By a conservative estimate, over a span of 8 years, we engaged at
Externí odkaz:
https://doaj.org/article/e8b03e18cd82400a809d905b757ed2fa
Publikováno v:
Information, Vol 9, Iss 12, p 322 (2018)
To track multiple maneuvering targets in cluttered environments with uncertain measurement noises and uncertain target dynamic models, an improved joint probabilistic data association-fuzzy recursive least squares filter (IJPDA-FRLSF) is proposed. In
Externí odkaz:
https://doaj.org/article/c5c2bd2a2c6a40b5ace8013dd2ef3f0b
Autor:
Ana Herman, Kristina Gruden, Andrej Blejec, Vid Podpečan, Helena Motaln, Primož Rožman, Matjaž Hren, Klemen Zupančič, Matija Veber, Urška Verbovšek, Tamara Lah Turnšek, Andrej Porčnik, Marjan Koršič, Miomir Knežević, Matjaž Jeras
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0125791 (2015)
BackgroundGlioblastoma multiforme (GBM) is among the most aggressive cancers with a poor prognosis in spite of a plethora of established diagnostic and prognostic biomarkers and treatment modalities. Therefore, the current goal is the detection of no
Externí odkaz:
https://doaj.org/article/7cae4f1c3b6b4218a54c972a19399a52
Autor:
Dragana Miljkovic, Tjaša Stare, Igor Mozetič, Vid Podpečan, Marko Petek, Kamil Witek, Marina Dermastia, Nada Lavrač, Kristina Gruden
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e51822 (2012)
Plant defence signalling response against various pathogens, including viruses, is a complex phenomenon. In resistant interaction a plant cell perceives the pathogen signal, transduces it within the cell and performs a reprogramming of the cell metab
Externí odkaz:
https://doaj.org/article/1add03fe334646c1a656a88584a11b66
Publikováno v:
Terminology. :93-120
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
Publikováno v:
Ecological Modelling. 471:110065
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
Publikováno v:
Representation Learning ISBN: 9783030688165
Relational learning addresses the task of learning models or patterns from relational data. Complementary to relational learning approaches that learn directly from relational data, developed in the Inductive Logic Programming research community, thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff039ec10ca7295add9f254af8cef795
https://doi.org/10.1007/978-3-030-68817-2_4
https://doi.org/10.1007/978-3-030-68817-2_4
Publikováno v:
Representation Learning ISBN: 9783030688165
This chapter presents the key ideas related to embedding simple (homogeneous) and more elaborate (heterogeneous) graphs. It first outlines some of the key approaches for constructing embeddings based exclusively on graph topology. We then discuss rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25297c4149145c20f6adc6f06fc71890
https://doi.org/10.1007/978-3-030-68817-2_5
https://doi.org/10.1007/978-3-030-68817-2_5
Publikováno v:
Representation Learning ISBN: 9783030688165
As this monograph demonstrates, albeit propositionalization and embeddings represent two different families of data transformations, they can be viewed as the two sides of the same coin. Their main unifying element is that they transform the input da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fcf8628ae15f956b62d74d825b6df81
https://doi.org/10.1007/978-3-030-68817-2_7
https://doi.org/10.1007/978-3-030-68817-2_7