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Nicolas Dugué

Associate professor


IEIAH-LST ( Le Mans )

(+33) 02 43 83 38 44

nicolas.dugue[at]univ-lemans.fr

https://cv.hal.science/nicolas-dugue

https://cv.archives-ouvertes.fr/nicolas-dugue


Research Activities:

Project(s): DIGING, écri+

 

Biography

As a PhD student at LIFO, I worked with statistical, graph-based and machine learning approaches to answer to answer research questions regarding influence and visibility of users on social networks, especially on Twitter. For instance, I worked on spam detection, influence measurement, event detection, which led me to deal with supervised learning, community detection or social role detection problems.

Then, I worked on the ISTEX project as a post-doc at LORIA, especially on tasks related to mining of scientific publication databases : cluster documents in thematics, label these thematics with keywords, monitor evolution of these thematics across time, etc. I also started important work about clustering quality.
Now, I am assistant professor at LIUM, part of both the LST and EIAH teams, working on several projects related to data mining : textual corpus mining, automatic characterization of learners, opinion mining, social roles detection in networks, etc.

Keywords : Graph mining, complex networks, text mining, clustering, supervised learning

Publications

HAL Publications Hal https://cv.archives-ouvertes.fr/nicolas-dugue

LIUM Publications - 26

[1]Thibault Prouteau, Nicolas Dugué, Simon Guillot. From Communities to Interpretable Network and Word Embedding: an Unified Approach. Journal of Complex Networks, 2024, 12 (6), ⟨10.1093/comnet/cnae034⟩. <hal-04829653>
[2]Wajd Meskini, Alexandre Brouste, Nicolas Dugué. Speeding up the Training of Neural Networks with the One-Step Procedure. Neural Processing Letters, 2024, 56 (3), pp.178. ⟨10.1007/s11063-024-11637-6⟩. <hal-04733965>
[3]Anna Béranger, Nicolas Dugué, Simon Guillot, Thibault Prouteau. SINr-filtered : Favoriser l'émergence du sens en filtrant les communautés extraites des réseaux de cooccurrences de mots. Extraction et Gestion des Connaissances, Jan 2024, Dijon, France. pp.429-430. <hal-04470451>
[4]Anna Béranger, Nicolas Dugué, Simon Guillot, Thibault Prouteau. Filtering communities in word co-occurrence networks to foster the emergence of meaning. Conference on Complex Networks and their Applications, Nov 2023, Menton, France. pp.377-388, ⟨10.1007/978-3-031-53468-3_32⟩. <hal-04398742>
[5]Simon Guillot, Thibault Prouteau, Nicolas Dugué. Sparser is better: one step closer to word embedding interpretability. International Conference of Computational Semantics 2023 (IWCS), Jun 2023, Nancy, France. pp.106-115. <hal-04321407>
[6]Simon Guillot, Thibault Prouteau, Nicolas Dugué. De l'interprétabilité des dimensions à l'interprétabilité du vecteur : parcimonie et stabilité. Conférence sur le Traitement Automatique des Langues Naturelles (TALN), Association pour le Traitement Automatique des Langues (ATALA), Jun 2023, Paris, France. <hal-04321436>
[7]Thibault Prouteau, Nicolas Dugué, Simon Guillot, Anthony Perez. SINr: a python package to train interpretable word and graph embeddings. French Regional Conference on Complex Systems, May 2023, Le Havre, France. pp.215, ⟨10.5281/zenodo.7957531⟩. <hal-04113024>
[8]Mohamed Ettaleb, Amira Barhoumi, Nathalie Camelin, Nicolas Dugué. Evaluation of weakly-supervised methods for aspect extraction. 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2022, Verona, Italy. <hal-03765562>
[9]Thibault Prouteau, Nicolas Dugué, Nathalie Camelin, Sylvain Meignier. Are Embedding Spaces Interpretable? Results of an Intrusion Detection Evaluation on a Large French Corpus. LREC 2022, Jun 2022, Marseille, France. pp.4414-4419. <hal-03770444>
[10]Nicolas Dugué, Anthony Perez. Direction matters in complex networks: A theoretical and applied study for greedy modularity optimization. Physica A: Statistical Mechanics and its Applications, 2022, 603, pp.127798. ⟨10.1016/j.physa.2022.127798⟩. <hal-03701447>
[11]Nicolas Dugué, Jean-Charles Lamirel, Yue Chen. Evaluating clustering quality using features salience: a promising approach. Neural Computing and Applications, 2021, 33 (19), pp.12939-12956. ⟨10.1007/s00521-021-05942-7⟩. <hal-03714726>
[12]Gaëtan Caillaut, Nicolas Dugué, Nathalie Camelin. Narcissist! Do you need so much attention?. CAP : Conférence sur l'Apprentisage automatique, Jun 2021, Saint-Etienne (en distanciel), France. & <hal-03236703>
[13]Jean-Charles Lamirel, Younes Gueddari, Yuqi Wang, Pascal Cuxac, Anthony Perez, et al.. 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. Scientometrics, 2021, 126 (7), pp.6273-6300. ⟨10.1007/s11192-021-04010-0⟩. <hal-03285158>
[14]Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, et al.. SINr: Fast Computing of Sparse Interpretable Node Representations is not a Sin!. 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⟩. <hal-03197434>
[15]Henri Marret, Floriane Bonnin, Nicolas Dugué. Prescription de macroprogestatifs oraux en alternative aux contraceptions validées : étude de pratiques en Région Centre.. Congrès Pari(s) Santé Femmes, Jan 2021, Paris, France. <hal-03139136>
[16]Jean-Charles Lamirel, Yue Chen, Pascal Cuxac, Shadi Al Shehabi, Nicolas Dugué, et al.. Science of Science research in mainland China: 40 years of evolution. A new method of analysis based on clustering with feature maximization and contrast graphs. Scientometrics, 2020, 125, pp.2971-2999. ⟨10.1007/s11192-020-03503-8⟩. <hal-03179165>
[17]Victor Connes, Nicolas Dugué. Apprentissage de plongements lexicaux par une approche réseaux complexes. TALN 2019, Jul 2019, Toulouse, France. <hal-02408156>
[18]Gaëtan Caillaut, Guillaume Cleuziou, Nicolas Dugué. Learning pretopological spaces to extract ego-centered communities. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Apr 2019, Macau, China. pp.488-500, ⟨10.1007/978-3-030-16145-3\_38⟩. <hal-02079771>
[19]Nicolas Dugué, Nathalie Camelin, Luce Lefeuvre, Xining Li, Coralie Reutenauer, et al.. Apprentissage et évaluation de plongements lexicaux sur un corpus SNCF en langue spécialisée. Extraction et Gestion des Connaissances, Jan 2019, Metz, France. <hal-01982661>
[20]Gaëtan Caillaut, Guillaume Cleuziou, Nicolas Dugué. Extraction de communautés ego-centrées par apprentissage supervisé d'espaces prétopologiques.. 19èmes Journées Extraction et Gestion des Connaissances (EGC 2019), Jan 2019, Metz, France. pp.117-128. <hal-02003133>
[21]Victor Connes, Nicolas Dugué, Adrien Guille. Is Community Detection Fully Unsupervised? The Case of Weighted Graphs. COMPLEX NETWORKS 2018: Complex Networks and Their Applications VII, Dec 2018, Cambridge, United Kingdom. <hal-01982660>
[22]Nicolas Dugué, Jean-Charles Lamirel, Anthony Perez. Bringing a Feature Selection Metric from Machine Learning to Complex Networks. COMPLEX NETWORKS 2018:The Seventh International Conference on Complex Networks & their Applications, Dec 2018, Cambridge, United Kingdom. pp.107-118, ⟨10.1007/978-3-030-05414-4_9⟩. <hal-03250913>
[23]Hazem Al Saied, Nicolas Dugué, Jean-Charles Lamirel. Automatic summarization of scientific publications using a feature selection approach. International Journal on Digital Libraries, 2018, 19 (2-3), pp.203-215. ⟨10.1007/s00799-017-0214-x⟩. <hal-01508130>
[24]Amira Barhoumi, Vincent Levorato, Nicolas Dugué, Nathalie Camelin. "L'important c'est de participer" : positive #ironie. Analyse de sentiments et détection de l'ironie Les systèmes du LIUM et d'OCTO. DEFT 2017, Jun 2017, Orléans, France. <hal-01592453>
[25]Nicolas Dugué, Jean-Charles Lamirel. Une métrique de sélection de variables appliquée à la centralité et à la détection des rôles communautaires. 17ème Conférence Extraction et Gestion des Connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.9-20. <hal-01504066>
[26]Nicolas Dugué, Jean-Charles Lamirel, Pascal Cuxac. Visualisation pour la détection d’évolutions dans des corpus de publications scientifiques. Les Cahiers du numérique, 2016, 12 (4), pp.157-184. <hal-01504064>