Jean-Philippe Dubus

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3ranked-venue papers

2as first author

0since 2021 · last 2011

—ORCID · none

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

Artificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 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 3 papers		Probabilistic and Bayesian machine learning · 64% Knowledge representation and reasoning · 36%
Databases, data mining, and information retrieval 1 paper		Recommender systems · 100%
Theoretical computer science 1 paper		Mathematical optimization · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Probabilistic and Bayesian machine learning › structured models graphical models	0.2	3	2011	Multiobjective Optimization using GAI Models · IJCAI 2009 Fast Recommendations using GAI Models · IJCAI 2009 Decision making with multiple objectives using GAI networks · Artif. Intell. 2011
Knowledge, reasoning and agents › Knowledge representation and reasoning › decision theory multi-criteria decision making	0.1	1	2011	Decision making with multiple objectives using GAI networks · Artif. Intell. 2011
Mathematical optimization multi-objective optimization	0.1	1	2009	Multiobjective Optimization using GAI Models · IJCAI 2009

Year	Publication	Venue	Position
2011	Decision making with multiple objectives using GAI networks Christophe Gonzales, Patrice Perny, Jean-Philippe Dubus	Artif. Intell.	3
2009	Fast Recommendations using GAI Models Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny	IJCAI	1
2009	Multiobjective Optimization using GAI Models Jean-Philippe Dubus, Christophe Gonzales, Patrice Perny	IJCAI	1