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Caner Komurlu

dblp:151/4927 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 · 61% Reinforcement learning · 30% Planning, search and constraint satisfaction · 9%

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

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
active inference		 0.212016
Active Inference for Dynamic Bayesian Networks · IJCAI 2016
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models
bayesian network		 0.212016
Active Inference for Dynamic Bayesian Networks · IJCAI 2016
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models › bayesian network
dynamic bayesian network		 0.212016
Active Inference for Dynamic Bayesian Networks · IJCAI 2016
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
decision making under uncertainty		 0.112016
Active Inference for Dynamic Bayesian Networks · IJCAI 2016

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

active inference · 0.2
YearPublicationVenuePosition
2017 Active inference for dynamic Bayesian networks with an application to tissue engineering
Caner Komurlu, Jinjian Shao, Banu Akar, Elif S. Bayrak, Eric M. Brey, Ali Cinar, Mustafa Bilgic 0001
 Knowl. Inf. Syst.1
2016 Active Inference for Dynamic Bayesian Networks
Caner Komurlu
 IJCAI1