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» Multi-Label Classification: An Overview
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JDWM
2007
140views more  JDWM 2007»
13 years 4 months ago
Multi-Label Classification: An Overview
Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene cla...
Grigorios Tsoumakas, Ioannis Katakis
ECIR
2009
Springer
13 years 2 months ago
Active Learning Strategies for Multi-Label Text Classification
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Andrea Esuli, Fabrizio Sebastiani
CLEF
2009
Springer
13 years 2 months ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
CIDU
2010
13 years 2 months ago
Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification
Abstract. The Aviation Safety Reporting System (ASRS) is used to collect voluntarily submitted aviation safety reports from pilots, controllers and others. As such it is particular...
Amrudin Agovic, Hanhuai Shan, Arindam Banerjee
ICTAI
2010
IEEE
13 years 2 months ago
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
Marios Ioannou, George Sakkas, Grigorios Tsoumakas...