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Manuel Arias 0004

dblp:32/2436-4 · DBLP profile ↗
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6ranked-venue papers
4as first author
1since 2021 · last 2021
0000-0003-2405-6677ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 3 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models
bayesian network		 0.412019
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models · IJCAI 2019
Machine learning › Probabilistic and Bayesian machine learning › structured models
graphical models		 0.412019
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models · IJCAI 2019
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models › directed graphical model
influence diagrams		 0.112019
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models · IJCAI 2019
YearPublicationVenuePosition
2021 Cost-effectiveness analysis with unordered decisions
Francisco Javier Díez 0001, Manuel Luque, Manuel Arias 0004, Jorge Pérez-Martín
 Artif. Intell. Medicine3
2019 OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
abstract
OpenMarkov is a Java open-source tool for creating and evaluating probabilistic graphical models, including Bayesian networks, influence diagrams, and some Markov models. With more than 100,000 lines of code, it offers some features for interactive learning, explanation of reasoning, and cost-effectiveness analysis, which are not available in any other tool. OpenMarkov has been used at universities, research centers, and large companies in more than 30 countries on four continents. Several models, some of them for real-world medical applications, built with OpenMarkov, are publicly available on Internet.
Manuel Arias 0004, Jorge Pérez-Martín, Manuel Luque, Francisco Javier Díez 0001
 IJCAI1
2017 Advanced Algorithms for Medical Decision Analysis. Implementation in OpenMarkov
Manuel Arias 0004, Miguel Ángel Artaso, Iñigo Bermejo, Francisco Javier Díez 0001, Manuel Luque, Jorge Pérez-Martín
 AIME1
2017 Synthesis of Strategies in Influence Diagrams
Manuel Luque, Manuel Arias 0004, Francisco Javier Díez 0001
 UAI2
2007 Operating with potentials of discrete variables
Manuel Arias 0004, Francisco Javier Díez 0001
 Int. J. Approx. Reason.1
2003 Construction of a Development Environment for GPMs Based on OO Analysis Patterns
Manuel Arias 0004, Angeles Manjarrés Riesco, Francisco Javier Díez 0001, Simon Pickin 0001
 KES1