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Using self-organizing maps for regression: the importance of the output function

 Thomas Hecht , Mathieu Lefort , Alexander Gepperth
European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium
Communication dans un congrès hal-01251011v1
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Resource-efficient incremental learning in very high dimensions

 Alexander Gepperth , Mathieu Lefort , Thomas Hecht , Ursula Körner
European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium
Communication dans un congrès hal-01251015v1
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Computational Advantages of Deep Prototype-Based Learning

 Thomas Hecht , Alexander Gepperth
International Conference on Artificial Neural Networks (ICANN), 2016, Barcelona, Spain. pp.121 - 127, ⟨10.1007/978-3-319-44781-0_15⟩
Communication dans un congrès hal-01418135v1
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Towards incremental deep learning: multi-level change detection in a hierarchical recognition architecture

 Thomas Hecht , Alexander Gepperth
European Symposium on Artificial Neural Networks (ESANN), 2016, Bruges, Belgium
Communication dans un congrès hal-01418132v1
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Scene context is more than a Bayesian prior: Competitive vehicle detection with restricted detectors

 Thomas Hecht , Mrinal Mohit , Egor Sattarov , Alexander Gepperth
IEEE International Symposium on Intelligent Vehicles(IV), May 2014, Detroit, United States. pp.1358 - 1364, ⟨10.1109/IVS.2014.6856542⟩
Communication dans un congrès hal-01098707v1
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Alignement d'ontologies : exploitation des ontologies liées sur le web de données

 Thomas Hecht , Patrice Buche , Juliette Dibie-Barthelemy , Liliana Ibanescu , Cassia Trojahn dos Santos
EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.23-34
Communication dans un congrès lirmm-01092173v1
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Semi-automatic loading of a microbial risk in food database thanks to an ontology in the context of linked data

 Patrice Buche , Stephane Dervaux , Juliette Dibie-Barthelemy , Liliana Ibanescu , Thomas Hecht , et al.
ICPMF 2013 - 8th International Conference on Predictive Modelling in Food, Sep 2013, Paris, France. 292 p
Communication dans un congrès hal-01123270v1
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Biologically inspired incremental learning for high-dimensional spaces

 Alexander Gepperth , Thomas Hecht , Mathieu Lefort , Ursula Körner
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346155⟩
Communication dans un congrès hal-01250961v1
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A generative-discriminative learning model for noisy information fusion

 Thomas Hecht , Alexander Gepperth
International Conference on Development and Learning (ICDL), Aug 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346148⟩
Communication dans un congrès hal-01250967v1
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Ontology Alignment Using Web Linked Ontologies as Background Knowledge

 Thomas Hecht , Patrice Buche , Juliette Dibie-Barthelemy , Liliana Ibanescu , Cassia Trojahn dos Santos
Fabrice Guillet; Bruno Pinaud; Gilles Venturini. Advances in Knowledge Discovery and Management, 665, Springer, pp.207-227, 2017, Studies in Computational Intelligence, 978-3-319-45762-8. ⟨10.1007/978-3-319-45763-5_11⟩
Chapitre d'ouvrage hal-01508810v1
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A Generative Learning Approach to Sensor Fusion and Change Detection

 Alexander Gepperth , Thomas Hecht , Mandar Gogate
Cognitive Computation, 2016, 8, pp.806 - 817. ⟨10.1007/s12559-016-9390-z⟩
Article dans une revue hal-01418125v1
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