Jelber Sayyad Shirab

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EDBT 2026 Demo / reviewers in the wild / expert

dblp:84/10623 · DBLP profile ↗

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1ranked-venue papers

0as 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 · 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 · 61% Information extraction and text analysis · 30% Learning paradigms · 9%

Topics — the 4 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 › bayesian network bayesian network classifiers	0.1	1	2011	Large Scale Text Classification using Semisupervised Multinomial Naive Bayes · ICML 2011
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models › bayesian network › bayesian network classifiers naive bayes	0.1	1	2011	Large Scale Text Classification using Semisupervised Multinomial Naive Bayes · ICML 2011
Natural language and speech › Information extraction and text analysis text classification	0.1	1	2011	Large Scale Text Classification using Semisupervised Multinomial Naive Bayes · ICML 2011
Machine learning › Learning paradigms semi-supervised learning	0.0	1	2011	Large Scale Text Classification using Semisupervised Multinomial Naive Bayes · ICML 2011

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

semi-supervised learning · 0.1multinomial naive bayes · 0.1

Year	Publication	Venue	Position
2011	Large Scale Text Classification using Semisupervised Multinomial Naive Bayes Jiang Su, Jelber Sayyad Shirab, Stan Matwin	ICML	2