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Jérôme Maloberti

dblp:16/3071 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 2007
—ORCID · none

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

Artificial intelligence and machine learning · 5 · 4 first-authorTheory of computation · 2 · 2 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
Knowledge representation and reasoning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › rule learning
horn expression learning
0.112007
Learning Horn Expressions with LOGAN-H · J. Mach. Learn. Res. 2007
Knowledge, reasoning and agents › Knowledge representation and reasoning › logic programming
inductive logic programming
0.112007
Learning Horn Expressions with LOGAN-H · J. Mach. Learn. Res. 2007

Methods — techniques the papers use, named apart from their topics

logan-h · 0.1
YearPublicationVenuePosition
2007 Learning Horn Expressions with LOGAN-H
Marta Arias, Roni Khardon, Jérôme Maloberti
J. Mach. Learn. Res.3
2004 An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques
Jérôme Maloberti, Einoshin Suzuki
ILP1
2004 Fast Theta-Subsumption with Constraint Satisfaction Algorithms
Jérôme Maloberti, Michèle Sebag
Mach. Learn.1
2003 Improving Efficiency of Frequent Query Discovery by Eliminating Non-relevant Candidates
Jérôme Maloberti, Einoshin Suzuki
Discovery Science1
2001 Theta-Subsumption in a Constraint Satisfaction Perspective
Jérôme Maloberti, Michèle Sebag
ILP1