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1
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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2
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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3
Why, What and How to help each Citizen to Understand Artificial Intelligence?
In: EISSN: 0933-1875 ; KI - Künstliche Intelligenz ; https://hal.inria.fr/hal-03024034 ; KI - Künstliche Intelligenz, Springer Nature, 2021, pp.1610-1987 (2021)
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4
Formalizing Problem Solving in Computational Thinking : an Ontology approach
In: IEEE ICDL 2021 – International Conference on Development and Learning 2021 ; https://hal.inria.fr/hal-03324136 ; IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China (2021)
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5
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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6
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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7
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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8
Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding ...
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9
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents
In: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence ; https://hal.inria.fr/hal-01931497 ; IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain (2018)
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10
Terres neuves agricoles, terres d'élevage en sursis » : trajectoires actuelles et recomposition des espaces agropastoraux dans le Sud- Ouest nigérien
In: 5ème Rencontres des études africaines en France ; https://hal.archives-ouvertes.fr/hal-02421705 ; 5ème Rencontres des études africaines en France, Jul 2018, Marseille, France (2018)
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11
Can self-organisation emerge through dynamic neural fields computation?
In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 23 (2011) 1, 1-31
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12
Dynamique des ressources pastorales, perception des changements et stratégies d’adaptation des agropasteurs sahéliens : exemple de la commune de Hombori (Mali).
In: 3ème conférence internationale AMMA-France ; https://hal.archives-ouvertes.fr/hal-02421770 ; 3ème conférence internationale AMMA-France, Nov 2010, Toulouse, France (2010)
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13
Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech Recognition
In: Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007 ; https://hal.inria.fr/inria-00118122 ; Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India (2007)
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14
Spatio-temporal biologically inspired models for clean and noisy speech recognition
In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.inria.fr/inria-00186512 ; Neurocomputing, Elsevier, 2007, 71 (1-3), pp.131--136. ⟨10.1016/j.neucom.2007.08.009⟩ (2007)
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15
Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
In: Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience ; https://hal.inria.fr/inria-00000634 ; Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩ (2005)
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16
Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot
In: Neurobotics Workshop of the 27th german conference on Artificial Intelligence ; https://hal.inria.fr/inria-00099901 ; Neurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p (2004)
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17
From a biological to a computational model for the autonomous behavior of an animat
In: Information sciences. - New York, NY : Elsevier Science Inc. 144 (2002) 1, 1-44
OLC Linguistik
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18
Connectionist models of speech
Bridle, John S. (Mitarb.); Fallside, Frank (Mitarb.); Waibel, Alex (Mitarb.)...
In: Speech recognition and understanding. - Berlin [u.a.] : Springer (1992), 225-316
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19
Les Soirées helvétiennes, alsaciennes et fran-comtoises
UB Frankfurt Retrokatalog
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