Han-Hsing Tu

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1ranked-venue papers

1as first author

0since 2021 · last 2010

—ORCID · none

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

Artificial intelligence and machine learning · 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

Kernel, tree and ensemble methods · 50% Learning paradigms · 50%

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

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Learning paradigms › cost-sensitive learning cost-sensitive classification	0.1	1	2010	One-sided Support Vector Regression for Multiclass Cost-sensitive Classification · ICML 2010
Machine learning › Kernel, tree and ensemble methods › support vector machine support vector regression	0.1	1	2010	One-sided Support Vector Regression for Multiclass Cost-sensitive Classification · ICML 2010

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

support vector regression · 0.1

Year	Publication	Venue	Position
2010	One-sided Support Vector Regression for Multiclass Cost-sensitive Classification Han-Hsing Tu, Hsuan-Tien Lin	ICML	1