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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA de Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Ouadie Gharroudi

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PhD student

Team Data Mining and Machine Learning
 
Institution Claude Bernard University of Lyon 1
Location Nautibus (Université Lyon1)
 
E-mail ouadie.gharroudi at liris.cnrs.fr
Contact details Publications Thesis
 
Subject Learning in multi-lable data
Abstract Many real-world classifications associate simultaneously each data object to multiple labels. This kind of classification, called multi-label learning, is relevant to many domains, such as text categorization, gene function analysis, image annotation, drug discovery. Researchers have already proposed a variety of approaches to deal with multi-label data. However, data sources from the real world are growing ever larger and the multi-label task is particularly sensitive to the associated problems such datasets: complexity of correlations among larger sets of labels, high imbalance level in the labels and the large amount of unlabeled instances. This thesis deals with methods which exhibit high predictive performance in such multi-labels datasets.
Advisor Alexandre Aussem
Advisor Haytham Elghazel

Last update : 2014-09-22 11:48:18