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Hilan Bensusan

dblp:71/3784 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2001
0000-0001-6686-9751ORCID · corroborated

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

Databases, data management, data science and information retrieval · 3 · 3 first-authorArtificial intelligence and machine learning · 2 · 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
Planning, search and constraint satisfaction · 67% Transfer learning and domain adaptation · 33%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
algorithm selection
0.012000
Meta-Learning by Landmarking Various Learning Algorithms · ICML 2000
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › heuristic search › planning heuristics
landmarks
0.012000
Meta-Learning by Landmarking Various Learning Algorithms · ICML 2000
Machine learning › Transfer learning and domain adaptation
meta-learning
0.012000
Meta-Learning by Landmarking Various Learning Algorithms · ICML 2000

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

meta-learning · 0.0landmarking · 0.0
YearPublicationVenuePosition
2001 Estimating the Predictive Accuracy of a Classifier
Hilan Bensusan, Alexandros Kalousis
ECML1
2000 Meta-Learning by Landmarking Various Learning Algorithms
Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier
ICML2
2000 Discovering Task Neighbourhoods Through Landmark Learning Performances
Hilan Bensusan, Christophe G. Giraud-Carrier
PKDD1
1998 God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune
Hilan Bensusan
ECML1