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Semantic Description of Plant Phenological Development Stages, starting with Grapevine
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In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; Communications in Computer and Information Science (CCIS) ; 14th international conference on Metadata and Semantics Research Conference (MTSR) ; https://hal.archives-ouvertes.fr/hal-02996846 ; 14th international conference on Metadata and Semantics Research Conference (MTSR), Dec 2020, Madrid, Spain. pp.257-268, ⟨10.1007/978-3-030-71903-6_25⟩ ; http://www.mtsr-conf.org/home (2020)
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Strengths of Fuzzy Techniques in Data Science
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In: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications ; https://hal.sorbonne-universite.fr/hal-01676195 ; Kosheleva, O.; Shary, S.P.; Xiang, G.; Zapatrin, R. Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications, 835, Springer, pp.111-119, 2020, Studies in Computational Intelligence, 978-3-030-31041-7. ⟨10.1007/978-3-030-31041-7_6⟩ (2020)
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Abstract:
International audience ; We show that many existing fuzzy methods for machine learning and data mining contribute to providing solutions to data science challenges, even though statistical approaches are often presented as major tools to cope with big data and modern user expectations of their exploitation. The multiple capacities of fuzzy and related knowledge representation methods make them inescapable to deal with various types of uncertainty inherent in all kinds of data.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.4: Knowledge Representation Formalisms and Methods; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.4: Knowledge acquisition; Data science; fuzzy knowledge representation; fuzzy technique; linguistic summary; similarity; uncertainty
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URL: https://hal.sorbonne-universite.fr/hal-01676195/file/ArticleVladik2017_3.pdf https://hal.sorbonne-universite.fr/hal-01676195/document https://hal.sorbonne-universite.fr/hal-01676195 https://doi.org/10.1007/978-3-030-31041-7_6
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Reasoning with Ontologies
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In: A Guided Tour of Artificial Intelligence Research ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-02922020 ; A Guided Tour of Artificial Intelligence Research, pp.185-215, 2020, Volume I: Knowledge Representation, Reasoning and Learning, 978-3-030-06163-0. ⟨10.1007/978-3-030-06164-7_6⟩ (2020)
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From graphemes to language and to knowledge ; Des graphèmes à la langue et à la connaissance
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In: https://hal.archives-ouvertes.fr/tel-02986651 ; Intelligence artificielle [cs.AI]. Université de Bretagne Occidentale, 2020 (2020)
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Contextualizing Language Understanding with Graph-based Knowledge Representations ...
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Formen der (Re-)Präsentation fachlichen Wissens. Ansätze und Methoden für die Lehrerinnen- und Lehrerbildung in den Fachdidaktiken und den Bildungswissenschaften
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Interdisziplinäre Tagung "Formen der (Re-)Präsentation Fachlichen Wissens - Ansätze und Methoden für die Lehrerbildung in den Fachdidaktiken und den Bildungswissenschaften" (2018 : Kiel). - : Waxmann, 2020. : Münster, 2020. : New York, 2020. : pedocs-Dokumentenserver/DIPF, 2020
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In: Münster ; New York : Waxmann 2020, 262 S. (2020)
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Defying Wikidata: Validation of terminological relations in the web of data
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Opinion Mining in Higher Education: A Corpus-Based Approach (Supplementary material) ...
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Opinion Mining in Higher Education: A Corpus-Based Approach (Supplementary material) ...
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Neural Machine Translation for Bilingually Low-Resource Scenarios ...
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Exploring Lexical Sensitivities in Word Prediction Models: A case study on BERT ...
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Exploring Lexical Sensitivities in Word Prediction Models: A case study on BERT ...
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