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Solving analogies on words based on minimal complexity transformation
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In: International Joint Conference on Artificial Intelligence (IJCAI-2020) ; https://hal.telecom-paris.fr/hal-02867163 ; International Joint Conference on Artificial Intelligence (IJCAI-2020), Jan 2021, Kyoto, Japan. pp.1848-1854 ; https://www.ijcai20.org/ (2021)
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What Can Text Mining Tell Us About Lithium‐Ion Battery Researchers’ Habits?
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In: EISSN: 2566-6223 ; Batteries & Supercaps ; https://hal.sorbonne-universite.fr/hal-03163309 ; Batteries & Supercaps, Wiley, 2021, ⟨10.1002/batt.202000288⟩ (2021)
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SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: A review
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In: ISSN: 0899-7071 ; Clinical Imaging ; https://hal.archives-ouvertes.fr/hal-03178494 ; Clinical Imaging, Elsevier, 2021, 76, pp.6-14. ⟨10.1016/j.clinimag.2021.01.019⟩ (2021)
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The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment
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In: ISSN: 2076-3263 ; Geosciences ; https://hal.archives-ouvertes.fr/hal-03168500 ; Geosciences, MDPI, 2021, ⟨10.3390/geosciences11030133⟩ (2021)
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Language as a Cognitive Tool: Dall-E, Humans and Vygotskian RL Agents
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In: https://hal.archives-ouvertes.fr/hal-03159786 ; 2021 (2021)
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Why, What and How to help each Citizen to Understand Artificial Intelligence?
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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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Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model
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In: Proceedings of AAMAS 2021 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; https://hal.sorbonne-universite.fr/hal-03142810 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2021, Online, United Kingdom. pp.1518-1520, ⟨10.5555/3463952.3464145⟩ (2021)
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Cartolabe: A Web-Based Scalable Visualization of Large Document Collections
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In: ISSN: 0272-1716 ; IEEE Computer Graphics and Applications ; https://hal.inria.fr/hal-02499006 ; IEEE Computer Graphics and Applications, Institute of Electrical and Electronics Engineers, 2021, 41 (2), pp.76--88. ⟨10.1109/MCG.2020.3033401⟩ (2021)
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From reduced artificial intelligence to semiotic engineering ; From reduced artificial intelligence to semiotic engineering: a new project for artificial intelligence
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In: https://hal.archives-ouvertes.fr/hal-03450318 ; 2021 (2021)
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Improving Learners’ Assessment and Evaluation in Crisis Management Serious Games: an Emotion-based Educational Data Mining Approach
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In: ISSN: 1875-9521 ; Entertainment Computing ; https://hal.archives-ouvertes.fr/hal-03203938 ; Entertainment Computing, Elsevier, 2021, pp.100428. ⟨10.1016/j.entcom.2021.100428⟩ (2021)
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A Neural Approach for Detecting Morphological Analogies
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In: The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) ; https://hal.inria.fr/hal-03313556 ; The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto/Online, Portugal (2021)
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End-to-end speaker segmentation for overlap-aware resegmentation
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In: Interspeech 2021 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-03257524 ; Interspeech 2021, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org/ (2021)
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Combining Bayesian and AI approaches for Autonomous Driving
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In: IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments" ; https://hal.inria.fr/hal-03518232 ; IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments", Sep 2021, Prague, Czech Republic (2021)
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DEBACER: a method for slicing moderated debates
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In: Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional ; https://hal.telecom-paris.fr/hal-03527450 ; Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional, Nov 2021, São Paulo, Brazil. pp.667-678, ⟨10.5753/eniac.2021.18293⟩ (2021)
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Metamorphic Thinking in Cartesian Systemic Emergence
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In: proc. of ICONS 2021 -The Sixteenth International Conference on Systems (ISBN: 978-1-61208-838-9) ; ICONS 2021 ; https://hal.archives-ouvertes.fr/hal-03321417 ; ICONS 2021, IARIA, Apr 2021, Porto, Portugal. pp.33-38 ; https://www.iaria.org/conferences2021/ICONS21.html (2021)
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ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations
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In: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management ; https://hal.archives-ouvertes.fr/hal-03614106 ; CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Nov 2021, Virtual Event Queensland Australia, Australia. pp.120-129, ⟨10.1145/3459637.3482321⟩ ; https://www.cikm2021.org/ (2021)
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High-resolution speaker counting in reverberant rooms using CRNN with Ambisonics features
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In: EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-03537323 ; EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. pp.71-75, ⟨10.23919/Eusipco47968.2020.9287637⟩ (2021)
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Tackling Morphological Analogies Using Deep Learning -- Extended Version
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In: https://hal.inria.fr/hal-03425776 ; 2021 (2021)
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Curiosity-driven exploration: Diversity of mechanisms and functions
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In: https://hal.inria.fr/hal-03447896 ; 2021 (2021)
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Abstract:
Intrinsically motivated information-seeking, also called curiositydriven exploration, is widely believed to be a key ingredient for autonomous learning in the real world. Such forms of spontaneous exploration have been studied in multiple independent lines of computational research, producing a diverse range of algorithmic models that capture different aspects of these processes. These algorithms resolve some of the limitations of neurocognitive theories by formally describing computational functions and algorithmic implementations of intrinsically motivated learning. Moreover, they reveal a high diversity of effective forms of intrinsically motivated information-seeking that can be characterized along different mechanistic and functional dimensions. This chapter aims at reviewing different classes of algorithms and highlighting several important dimensions of variation among them. Identifying these dimensions provides means for structuring a comprehensive taxonomy of approaches. We believe this exercise to be useful in working towards a general computational account of information-seeking. Such an account should facilitate the proposition of new hypotheses about informationseeking in humans and complement the existing psychological theory of curiosity.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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URL: https://hal.inria.fr/hal-03447896 https://hal.inria.fr/hal-03447896v2/file/Ten2022Curiosity-driven.pdf https://hal.inria.fr/hal-03447896v2/document
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Formalizing Problem Solving in Computational Thinking : an Ontology approach
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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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