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Mixing Bayesian and Artificial Intelligence approaches for Autonomous Driving
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In: Tech M&A 2019 - Minalogic Technical Conference ; https://hal.inria.fr/hal-02434275 ; Tech M&A 2019 - Minalogic Technical Conference, May 2019, Grenoble, France (2019)
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A journey in the history of Automated Driving
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In: IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems ; https://hal.inria.fr/hal-02428196 ; IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov 2019, Macau, China. pp.1-27 (2019)
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Semantic coding in the occipital cortex of early blind individuals
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In: https://hal.archives-ouvertes.fr/hal-02018272 ; 2019 (2019)
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Abstract:
The visual cortex of early blind individuals is reorganized to support cognitive functions distinct from vision. Research suggests that one such prominent function is language. However, it is unknown whether the visual cortex of blind individuals codes for word meaning. We addressed this question by comparing neuronal activity evoked by a semantic decision task, using magnetoencephalography (MEG), between 12 early blind and 14 sighted participants otherwise comparable with regard to gender, age and education. We found that average brain responses to thousands of auditory word stimuli followed similar time courses in blind and sighted participants. However, in blind participants only, we found a sustained enhancement of activity in the visual cortex. Moreover, across the whole brain, we found an effect of semantic category from about 400 ms after word onset. Strikingly, in blind participants, semantic categories were discriminable starting 580 ms after word onset from signal captured by sensors sensitive to the visual cortex. We replicated the analyses in time windows locked to stimulus onset and behavioral response, using both classical hypothesis testing and machine learning for single-trial classification. Semantic decisions were well classified in all participants (AUC ~ 0.60), but generalization capacity across participants was found reduced in the blind group due to a larger variability of discriminative patterns. In conclusion, our findings suggest that brain plasticity reorganizes the semantic system of blind individuals, and extends semantic computation into the visual cortex.
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Keyword:
[SCCO.NEUR]Cognitive science/Neuroscience; [SCCO.PSYC]Cognitive science/Psychology; [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology; [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology; [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior; [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences; blindness; language; machine learning; MEG; MVPA; Plasticity; semantics; visual system
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URL: https://hal.archives-ouvertes.fr/hal-02018272 https://doi.org/10.1101/539437
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A Franco-Irish project for the automatic identification of criterial features in learners of English
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In: EUROCALL 2019 ; https://hal.univ-rennes2.fr/hal-02496627 ; EUROCALL 2019, Université de Louvain la Neuve, Aug 2019, Louvain la Neuve, Belgium (2019)
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How OCR Performance can Impact on the Automatic Extraction of Dictionary Content Structures
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In: 19th annual Conference and Members’ Meeting of the Text Encoding Initiative Consortium (TEI) -What is text, really? TEI and beyond ; https://hal.archives-ouvertes.fr/hal-02263276 ; 19th annual Conference and Members’ Meeting of the Text Encoding Initiative Consortium (TEI) -What is text, really? TEI and beyond, Sep 2019, Graz, Austria (2019)
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Prototype de feedback visuel des productions écrites d'apprenants francophones de l'anglais sous Moodle
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In: Environnements Informatiques pour l'Apprentissage Humain (EIAH'19) ; https://hal.univ-rennes2.fr/hal-02496651 ; Environnements Informatiques pour l'Apprentissage Humain (EIAH'19), University of Paris Sorbonne, Jun 2019, Paris, France (2019)
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Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier
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In: CJC PRAXILING 2019 ; https://hal.archives-ouvertes.fr/hal-02356649 ; CJC PRAXILING 2019, Nov 2019, Montpellier, France (2019)
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Semantic Flexibility and Grounded Language Learning
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In: Proceedings AISB 2019 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents ; https://hal.archives-ouvertes.fr/hal-02268932 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents, Apr 2019, Falmouth, United Kingdom (2019)
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Régularisation spatiale de représentations distribuées de mots
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In: Actes de CORIA 2019 ; 16e Conférence francophone en Recherche d'Information et Applications (CORIA 2019) ; https://hal.archives-ouvertes.fr/hal-02494102 ; 16e Conférence francophone en Recherche d'Information et Applications (CORIA 2019), Apr 2019, Lyon, France. pp.1-17 (2019)
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Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
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In: 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ; https://hal.sorbonne-universite.fr/hal-02350999 ; 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, China. pp.3237-3247, ⟨10.18653/v1/D19-1320⟩ (2019)
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LMF Reloaded
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In: AsiaLex 2019: Past, Present and Future ; https://hal.inria.fr/hal-02118319 ; AsiaLex 2019: Past, Present and Future, Jun 2019, Istanbul, Turkey (2019)
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Apprentissage et évaluation de plongements lexicaux sur un corpus SNCF en langue spécialisée
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In: Extraction et Gestion des Connaissances ; https://hal.archives-ouvertes.fr/hal-01982661 ; Extraction et Gestion des Connaissances, Jan 2019, Metz, France (2019)
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Logométrie et deep learning. Essai de généalogie politique des discours électoraux aux législatives de 2017
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In: Histoire, langues et lexicométrie ; https://hal.archives-ouvertes.fr/hal-02067968 ; Histoire, langues et lexicométrie, Jan 2019, Paris, France (2019)
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Investigating the scope of textual metrics for learner level discrimination and learner analytics
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In: Learner Corpus Research Conference ; https://hal.archives-ouvertes.fr/hal-02496571 ; Learner Corpus Research Conference, University of Warsaw, Poland, Sep 2019, Varsaw, Poland ; Learner Corpus Association (2019)
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Complex networks based word embeddings ; Apprentissage de plongements lexicaux par une approcheréseaux complexes
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In: TALN 2019 ; https://hal.archives-ouvertes.fr/hal-02408156 ; TALN 2019, Jul 2019, Toulouse, France (2019)
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Towards the Prediction of Semantic Complexity Based on Concept Graphs ; Vers la prédiction de complexité sémantique fondée sur les graphes de concepts
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In: 12th International Conference on Educational Data Mining (EDM 2019) ; https://hal.archives-ouvertes.fr/hal-02315319 ; 12th International Conference on Educational Data Mining (EDM 2019), Jul 2019, Montreal, Canada. pp.188-197 ; educationaldatamining.org/EDM2019/ (2019)
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Investigating Criterial Features of Learner English and Predicting CEFR Levels in French Learners of English
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In: EUROCALL 2019 ; https://hal.univ-rennes2.fr/hal-02496615 ; EUROCALL 2019, University of Louvain La Neuve, Aug 2019, Louvain la Neuve, Belgium (2019)
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A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner Errors
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In: EC-TEL 2019 ; https://hal.univ-rennes2.fr/hal-02496688 ; EC-TEL 2019, EATEL, Sep 2019, Delft, Netherlands. pp.308-320 ; http://www.ec-tel.eu/index.php?id=957 (2019)
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FEEL: a French Expanded Emotion Lexicon
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In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090 ; 2019, ⟨swh:1:dir:35a446bb6f0808aa0db6f5bcd032f43e9ec71591;origin=https://hal.archives-ouvertes.fr/lirmm-02136090;visit=swh:1:snp:9d258bfd8a07f79cb8063b6ac33d6e710bd3e3f3;anchor=swh:1:rev:2266d773cf993b8718a1d7ca1d1bce145118f527;path=/⟩ (2019)
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Annotation and data-driven synthesis of facial expressions of French sign language ; Annotation et synthèse basée données des expressions faciales de la Langue des Signes Française
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In: https://hal.archives-ouvertes.fr/tel-03080311 ; Computer science. Université Bretagne-Sud, 2019. English (2019)
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