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Automatic emotions recognition during call center conversations
Automatic emotion recognition in speech is a relatively recent research subject in the field of natural language processing considering that the subject has been... -
Study of kernel machines towards Brain-computer Interfaces
Brain-computer Interface (BCI) has achieved numerous successful applications in both clinical domain and daily life amelioration. As an essential component, signal... -
Régression semi-supervisée à sortie noyau pour la prédiction de liens
National audience -
Protein-protein interaction network inference using statistical learning
The aim of this thesis is to develop tools for predicting interactions between proteins that can be applied to the human proteins forming a network with the CFTR... -
Machine learning applied to speech language understanding : towards semi-supe...
Two wide research fields named Speech Recognition and Machine Learning meet with the Automatic Speech Language Understanding. One of the main problems in this domain... -
Efficient large-context dependency parsing and correction with distributional...
This thesis explores ways to improve the accuracy and coverage of efficient statistical dependency parsing. We employ transition-based parsing with models learned... -
Contextualization of a pedestrian detector : application to the monitoring of...
With the rise of videosurveillance systems comes a logical need for automatic and real-time processes to analyze the huge amount of generated data. Among these tools,... -
Graph-based semi-supervised learning methods and quick detection of central n...
Semi-supervised learning methods constitute a category of machine learning methods which use labelled points together with unlabeled data to tune the classifier. The...
