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Analyse et représentation en deux dimensions de traces pour le suivi de l'app...
Le suivi d'apprenants lors de la résolution de problèmes est difficile, surtout lorsque le nombre d'apprenants est important ou lorsque la résolution de problèmes se... -
μ-SOM : Weighting features during clustering
Real life datasets used in marketing studies contain a lot of redundant features which may prevent data-mining techniques such as self-organizing maps from discovering... -
Connectionist and Ethological Approaches for Discovering Salient Facial Movem...
Individual Facial movements signal various social information to other persons, like the gender of the sender. We used an ethological and a connectionist approaches in... -
Selection of Clusters Number and Features Subset during a Two-Levels Clusteri...
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Self-organizing maps applied to clustering in MCDA
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Hardware architecture of Self-Organizing Maps
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Revisiting wintertime cold air intrusions at the east of the Andes: propagati...
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Trace element contamination in the arms of the Danube Delta (Romania/Ukraine)...
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Gravel pits support waterbird diversity in an urban landscape
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Statistical exploratory analysis of agent-based simulations in a social context
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Anomaly detection in high-dimensional datastreams
The subject of this Thesis is to study anomaly detection in high-dimensional data streams with a specific application to aircraft engine Health Monitoring. In this... -
Additive Composition of Supervised Self-Organizing Maps
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Visually Guided Movements : Learning with Modular Neural Maps in Robotics
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PHACTS about activation-based word similarity effects
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