Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Nicolas, Dugué"'
2
Evaluating clustering quality using features salience: a promising approach
Autor: Jean-Charles Lamirel, Yue Chen, Nicolas Dugué
Publikováno v: Neural Computing and Applications
Neural Computing and Applications, 2021, 33 (19), pp.12939-12956. ⟨10.1007/s00521-021-05942-7⟩
International audience; This paper focuses on using feature salience to evaluate the quality of a partition when dealing with hard clustering. It is based on the hypothesis that a good partition is an easy to label partition, i.e. a partition for whi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d39f725919a0b81106222a1613fb86ff
https://doi.org/10.1007/s00521-021-05942-7
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4
Analysis of the dynamics and influence of the research work of Prof. Liu Zeyuan in China featuring a new hybrid approach combining community detection with topic tracking
Autor: Yuqi Wang, Jean-Charles Lamirel, Pascal Cuxac, Nicolas Dugué, Anthony Perez, Younes Gueddari
Publikováno v: Scientometrics
Scientometrics, 2021, 126 (7), pp.6273-6300. ⟨10.1007/s11192-021-04010-0⟩
Scientometrics, Springer Verlag, 2021, 126 (7), pp.6273-6300. ⟨10.1007/s11192-021-04010-0⟩
International audience; The influence of authors is mostly based on their capacity to form specific self-contained and/or active research communities or topics while also inspiring fruitful spin-off research derived from those communities or topics.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b14486822d7cb18ab1f39a359104958
https://hal.science/hal-03285158
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5
SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!
Autor: Nathalie Camelin, Nicolas Dugué, Jean-Charles Lamirel, Anthony Perez, Victor Connes, Thibault Prouteau, Sylvain Meignier
Publikováno v: Advances in Intelligent Data Analysis XIX
Lecture Notes in Computer Science
Advances in Intelligent Data Analysis XIX, 19th International Symposium on Intelligent Data Analysis, IDA 2021
Advances in Intelligent Data Analysis XIX, 19th International Symposium on Intelligent Data Analysis, IDA 2021, Apr 2021, Porto, Portugal. pp.325-337, ⟨10.1007/978-3-030-74251-5_26⟩
Advances in Intelligent Data Analysis XIX ISBN: 9783030742508
IDA
Frontier Prize (best paper); International audience; While graph embedding aims at learning low-dimensional representations of nodes encompassing the graph topology, word embedding focus on learning word vectors that encode semantic properties of the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecad1bcba5b389481f744ebd9d126126
https://hal.archives-ouvertes.fr/hal-03197434/document
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7
Technologies sémantiques et accès à l'information dans le prescrit SNCF
Autor: Reutenauer, Coralie, Lefeuvre, Luce, Fouqueray, Aurélie, Prouteau, Thibault, Pelloin, Valentin, Lopez, Cédric, Nathalie, Camelin, Segond, Frédérique, Nicolas, Dugué, Bourigault, Didier
Publikováno v: Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès)-22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques
Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès)-22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France
International audience; Des expérimentations basées sur des technologies de traitement automatique du langage ont été menées au sein d'un programme de sécurité ferroviaire et de simplification documentaire afin d'améliorer la recherche d'info
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f7867598a1ed8af86876e26bc151cd3b
https://hal.archives-ouvertes.fr/hal-03476574
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8
Complex networks based word embeddings
Autor: Victor Connes, Nicolas Dugué
Publikováno v: TALN 2019
TALN 2019, Jul 2019, Toulouse, France
HAL
Most of the time, the first step to learn word embeddings is to build a word co-occurrence matrix. As such matrices are equivalent to graphs, complex networks theory can naturally be used to deal with such data. In this paper, we consider applying co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7a1a1cfa72096884ec537a29251173c
https://hal.archives-ouvertes.fr/hal-02408156/document
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9
Learning pretopological spaces to extract ego-centered communities
Autor: Guillaume Cleuziou, Gaëtan Caillaut, Nicolas Dugué
Publikováno v: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Apr 2019, Macau, China
Advances in Knowledge Discovery and Data Mining ISBN: 9783030161446
PAKDD (2)
We present a pretopological based approach to extract ego-centered communities. Classical methods often consider only one structural feature of the network, whereas pretopology enables to do multi-criteria analysis. Our approach consists in learning
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dadcc1061c96b8d4e50595d7a804237e
https://hal.archives-ouvertes.fr/hal-02079771
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