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of 4
pro vyhledávání: '"Raul Fidalgo-Merino"'
Publikováno v:
ICPR
This paper presents a novel active learning technique aimed at the selection of sequences for manual annotation from a database of unlabelled sequences. Supervised machine learning algorithms can employ these sequences to build better models than tho
Publikováno v:
Science and Public Policy. 45:804-814
This article describes a methodology for analysing the diffusion of scientific information into the social sphere, termed the ‘scientific knowledge percolation process’. The methodology was built using automated data collection and lexicon-based
Publikováno v:
SMC
This paper applies the Behavior Pattern Learning (BPL) approach to automatically discover the conditions previous to specific macroeconomic events from the historical evolution of macroeconomic variables, as well as historical events. Every time the
Publikováno v:
Lecture Notes in Computer Science
15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.729-740, ⟨10.1007/978-3-319-45378-1_63⟩
Computer Information Systems and Industrial Management ISBN: 9783319453774
CISIM
15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.729-740, ⟨10.1007/978-3-319-45378-1_63⟩
Computer Information Systems and Industrial Management ISBN: 9783319453774
CISIM
Customs worldwide are facing the challenge of supervising huge volumes of containerized trade arriving to their country with resources allowing them to inspect only a minimal fraction of it. Risk assessment procedures can support them on the selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9eef825dbbbf774f10c85a9ac10dbde
https://hal.inria.fr/hal-01637491/document
https://hal.inria.fr/hal-01637491/document