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Michal Afek

dblp:133/1969 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

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 · 87% Trustworthy machine learning · 13%

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		 0.212013
Adaptive Thresholding in Structure Learning of a Bayesian Network · IJCAI 2013
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models
structure learning		 0.212013
Adaptive Thresholding in Structure Learning of a Bayesian Network · IJCAI 2013
Machine learning › Trustworthy machine learning
thresholding		 0.012013
Adaptive Thresholding in Structure Learning of a Bayesian Network · IJCAI 2013

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

adaptive thresholding · 0.2
YearPublicationVenuePosition
2013 Adaptive Thresholding in Structure Learning of a Bayesian Network
Boaz Lerner, Michal Afek, Rafi Bojmel
 IJCAI2