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Learning Majority Vote for Supervised Classification and Domain Adaptation: P...
Nowadays, due to the expansion of the web a plenty of data are available and many applications need to make use of supervised machine learning methods able to take... -
Predicting Information Diffusion in Social Networks using Content and User's ...
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Etude de la Maximisation de l'Influence dans les Réseaux Sociaux
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High-throughput analysis of the spontaneous behavior of a “simple” model orga...
The use of simple genetic model organisms has allowed large-scale investigation of cellular and molecular mechanisms in biology. The zebrafish larva (Danio rerio) is a... -
Regularization methods for prediction in dynamic graphs and e-marketing appli...
Predicting connections among objects, based either on a noisy observation or on a sequence of observations, is a problem of interest for numerous applications such as... -
Hand detection for contactless biometrics identification
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Learning the aircraft mass and thrust to improve the ground-based trajectory ...
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Contribution à l'analyse de données temporelles
Mes travaux de recherche portent sur l'analyse de données temporelles et s'articulent en trois parties : -la représentation de séries temporelles, -la définition de... -
Learning Parameters for a Knowledge Diagnostic Tools in Orthopedic Surgery
ISBN: 978-90-386-2537-9 - www.educationaldatamining.org - Posters -
Segmentation of heterogeneous document images : an approach based on machine ...
Document page segmentation is one of the most crucial steps in document image analysis. It ideally aims to explain the full structure of any document page,... -
Information-seeking, curiosity, and attention: computational and neural mecha...
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Social Network - An autonomous system designed for radio recommendation.
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Predictive Modeling in a Polyhedral Optimization Space
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A new Adaptive methodology of Global-to-Direct irradiance based on clustering...
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On the Choice of Kernel and Labelled Data in Semi-supervised Learning Methods
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Ozone ensemble forecast with machine learning algorithms
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Description automatique de dynamiques de groupes dans des simulations à base ...
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Designing Adaptive Replication Schemes for Efficient Content Delivery in Edge...
Content availability has become increasingly important for the Internet delivery chain. In order to enhance availability, content distribution network (CDN) providers... -
Graph kernels for the prediction of molecular properties.
This work deals with the application of graph kernel methods to the prediction of molecular properties. In this document, we first present a state of the art of graph... -
Towards an interactive index structuring system for content-based image retri...
This thesis deals with the problem of Content-Based Image Retrieval (CBIR) on large image databases. Traditional CBIR systems generally rely on three phases : feature...
