International Journals:
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Frontini, F., Boukhaled, M.A. & Ganascia, J.-G. (2017). Mining for characterising patterns in literature using correspondence analysis: an experiment on French novels. Digital Humanities Quarterly 11 (2)
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Boukhaled, M.A., Frontini, F., Bourgne, G., & Ganascia, J.-G. (2015). Computational Study of Stylistics: a Clustering-based Interestingness Measure for Extracting Relevant Syntactic Patterns. International Journal of Computational Linguistics and Applications 6 (1): 45–62.
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Book Chapters:
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Boukhaled, M.A., Fagard B., Poibeau T. (2019) The Dynamics of Semantic Change: A Corpus-Based Analysis. Agents and Artificial Intelligence. Lecture Notes in Computer Science, vol 11978. Springer, Cham
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Frontini, F., Boukhaled, M.A. & Ganascia, J.-G. (2018). Approaching French Theatrical Characters by Syntactical Analysis: A Study with Motifs and Correspondence Analysis.”In Grammar of Genres and Styles. From Discrete to Non-Discrete Units. Trends in Linguistics. De Gruyter Mouton. (pp. 118–39).
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Boukhaled, M.A. & Ganascia, J.-G. (2017). Stylistic Features Based on Sequential Rule Mining for Authorship Attribution. In Cognitive Approach to Natural Language Processing. Elsevier. (pp. 159-175).
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Conferences and Workshops with proceedings:
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Boukhaled, M.A., Fagard, B. and Poibeau, T., (2019). Modelling the Semantic Change Dynamics using Diachronic Word Embedding. In 11th International Conference on Agents and Artificial Intelligenc, ICAART 2019. Prague, Czech Republic.
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Boukhaled, M.A., Sellami, Z., & Ganascia, J.-G. (2015). Phoebus: un Logiciel d’Extraction de Réutilisations dans des Textes Littéraires. In 22ème Conférence sur le Traitement Automatique des Langues Naturelles. Caen, France.
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Oudni, A., Boukhaled, M.A., & Bourgne, G. (2015). Analyse des relations et des dynamiques de corpus de textes littéraires par extraction de motifs graduels. In 24ème Conférence sur la Logique Floue et ses Applications, LFA2015. Poitiers, France.
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Boukhaled, M.A., Frontini, F., & Ganascia, J.-G. (2015). Une mesure d’intérêt à base de surreprésentation pour l'extraction des motifs syntaxiques stylistiques. In 22ème Conférence sur le Traitement Automatique des Langues Naturelles. Caen, France.
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Boukhaled, M.A., Frontini, F., & Ganascia, J.-G. (2015). A Peculiarity-based Exploration of Syntactical Patterns: a Computational Study of Stylistics. In Workshop on Interactions between Data Mining and Natural Language Processing DMNLP’15 ECML/PKDD 2015 Workshop (pp. 31–40). Porto, Portugal.
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Boukhaled, M.A., & Ganascia, J.-G. (2014). Using Function Words for Authorship Attribution: Bag-Of-Words vs. Sequential Rules. In The 11th International Workshop on Natural Language Processing and Cognitive Science (pp. 115–122). Venice, Italy: DE GRUYTER.
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Boukhaled, M.A., & Ganascia, J.-G. (2014). Probabilistic Anomaly Detection Method for Authorship Verification. In S. I. Publishing (Ed.), 2nd International Conference on Statistical Language and Speech Processing, SLSP 2014, Springer in the LNCS/LNAI Series (Vol. 8791, pp. 211–219). Grenoble, France.
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Conferences, Workshops & Talks without proceedings:
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Boukhaled, M.A. (2015). Une méthode non supervisée pour la vérification d’auteur à base d'un modèle gaussien multivarié. In 10es Rencontres Jeunes Chercheurs en Recherche d’Information (RJCRI) (pp. 525–533). Paris, France: ARIA.
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Frontini, F., Boukhaled, M.A., & Ganascia, J.-G. (2015). Moliere’s Raisonneurs: a quantitative study of distinctive linguistic patterns. Corpus Linguistics 2015, Lancaster, UK.
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Riguet, M., Jolivet, V., & Boukhaled, M.A. (2015). «Cohérence sémantique»: l’apport des algorithmes de représentation vectorielle des mots. In 8es Journées Internationales de Linguistique de Corpus. Orleans, France.
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