Zobrazeno 1 - 10
of 122
pro vyhledávání: '"A. Deligiorgis"'
Dynamic multi-relational graphs are an expressive relational representation for data enclosing entities and relations of different types, and where relationships are allowed to vary in time. Addressing predictive tasks over such data requires the abi
Externí odkaz:
http://arxiv.org/abs/2403.11292
Publikováno v:
ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Global retailers have assortments that contain hundreds of thousands of products that can be linked by several types of relationships like style compatibility, "bought together", "watched together", etc. Graphs are a natural representation for assort
Externí odkaz:
http://arxiv.org/abs/2110.01677
Autor:
Dukic, Haris, Mokarizadeh, Shahab, Deligiorgis, Georgios, Sepe, Pierpaolo, Bacciu, Davide, Trincavelli, Marco
Publikováno v:
In Neurocomputing 14 September 2022 504:42-55
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Materials Proceedings, Vol 5, Iss 1, p 122 (2022)
In this study, the application of adaptive fuzzy inference systems (ANFISs) and artificial neural networks (NNs) for grade and reserve estimation of a copper deposit was studied. More specifically, a feedforward NN with backpropagation and two Sugeno
Externí odkaz:
https://doaj.org/article/7b70c19edf044c22be3b9a47800a6a57
Publikováno v:
Materials Proceedings, Vol 5, Iss 1, p 92 (2022)
In this study we present a generic probabilistic risk assessment methodology to evaluate the risk associated with flooding process of a pit. We use the bow-tie analysis to analyze the critical events (we focus on slope failures) and the systemic risk
Externí odkaz:
https://doaj.org/article/4f9e0b3ec2d741889ad7e6658fe5f942
Autor:
Haris Dukic, Shahab Mokarizadeh, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu, Marco Trincavelli
Publikováno v:
Neurocomputing. 504:42-55
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24c7d70b318f9dc5d321ee1130a6d3f8
https://doi.org/10.1016/j.neucom.2022.06.050
https://doi.org/10.1016/j.neucom.2022.06.050
Autor:
Deligiorgis, Konstantinos
Publikováno v:
Literatūra / Literature. 58(3):7-17
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=597145
Autor:
Galetakis Michael, Vasiliou Anthoula, Steiakakis Emmanuel, Soultana Athanasia, Deligiorgis Vassilios
Publikováno v:
MATEC Web of Conferences, Vol 342, p 05006 (2021)
Recent advances in information and artificial intelligence technologies, and more specifically in Fuzzy Logic and Fuzzy Inference Systems (FIS), have provided a new approach in solving many problems related to mineral industry. The aim of the current
Externí odkaz:
https://doaj.org/article/81d21dc2964d4c6e8f9616e3d91999b7
Autor:
Galetakis, Michael, Vasileiou, Anthoula, Rogdaki, Antonia, Deligiorgis, Vasilios, Raka, Stella
Publikováno v:
Materials Proceedings; Jun2023, Vol. 15 Issue 1, p122, 6p