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hal-01250967v1  Conference papers
Thomas HechtAlexander Gepperth. A generative-discriminative learning model for noisy information fusion
International Conference on Development and Learning (ICDL), Aug 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346148⟩
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hal-01098707v1  Conference papers
Thomas HechtMrinal MohitEgor SattarovAlexander Gepperth. Scene context is more than a Bayesian prior: Competitive vehicle detection with restricted detectors
IEEE International Symposium on Intelligent Vehicles(IV), May 2014, Detroit, United States. pp.1358 - 1364, ⟨10.1109/IVS.2014.6856542⟩
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hal-01418132v1  Conference papers
Thomas HechtAlexander Gepperth. Towards incremental deep learning: multi-level change detection in a hierarchical recognition architecture
European Symposium on Artificial Neural Networks (ESANN), 2016, Bruges, Belgium
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hal-01418135v1  Conference papers
Thomas HechtAlexander Gepperth. Computational Advantages of Deep Prototype-Based Learning
International Conference on Artificial Neural Networks (ICANN), 2016, Barcelona, Spain. pp.121 - 127, ⟨10.1007/978-3-319-44781-0_15⟩
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hal-01508810v1  Book sections
Thomas HechtPatrice BucheJuliette Dibie-BarthelemyLiliana IbanescuCassia Trojahn. Ontology Alignment Using Web Linked Ontologies as Background Knowledge
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⟩
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hal-01250961v1  Conference papers
Alexander GepperthThomas HechtMathieu LefortUrsula Körner. Biologically inspired incremental learning for high-dimensional spaces
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346155⟩
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hal-01251011v1  Conference papers
Thomas HechtMathieu LefortAlexander Gepperth. Using self-organizing maps for regression: the importance of the output function
European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium
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hal-01251015v1  Conference papers
Alexander GepperthMathieu LefortThomas HechtUrsula Körner. Resource-efficient incremental learning in very high dimensions
European Symposium on Artificial Neural Networks (ESANN), Apr 2015, Bruges, Belgium