Publications

2025

Journal

  1. Online Clustering of Massive Text Data Streams. Maha Ben-Fares, Parisa Rastin, Nistor Grozavu, Pierre Holat. SN Computer Science, Springer.
  2. On the role of knowledge graphs in AI-based scientific discovery. Mathieu D’aquin. Journal of Web Semantics, Elsevier.
  3. Incremental clustering based on Wasserstein distance between histogram models. Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Mohamed Alae Guidani, Ghassen Marrakchi, Marianne Clausel, Nistor Grozavu. Pattern Recognition, Elsevier.

Conference paper

  1. Moodle2EventLog: A Tool for Pedagogically-Driven Log Enrichment and Analysis. Noura Joudieh, Wil van Der Aalst, Ronan Champagnat, Mourad Rabah, Samuel Nowakowski. In proceedings of 17th International Conference on Computer Supported Education, Porto, Portugal.
  2. Transformation numérique vue par les Learning Analytics. Soufiane Rouissi, Bertrand Mocquet, Marine Moreau, Chrysta Pélissier, Olivier Perlot, Azim Roussanaly, Spriet Thierry. In proceedings of Séminaire de recherche, En ligne (Bordeaux), France.
  3. Fake News Detection via Intermediate-Layer Emotional Representations. Yassine Toughrai, David Langlois, Kamel Smaïli. In proceedings of 5th International Workshop on Computational Methods for Online Discourse Analysis (BeyondFacts’25), Sydney, Australia.
  4. ABDUL: a new Approach to Build language models for Dialects Using formal Language corpora only. Yassine Toughrai, Kamel Smaïli, David Langlois. In proceedings of NAACL 2025 Workshop on Language Models for Underserved Communities, Albuquerque, United States.
  5. Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification. Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara, Luis Belmar-Letelier. In proceedings of The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia (Pennsylvania), United States.

Research report

  1. 2024 Activity Report — Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering. Miguel Couceiro, Frédéric Pennerath, Amedeo Napoli, Lydia Boudjeloud-Assala, Brieuc Conan-Guez, Alain Gély.
  2. A Knowledge Representation Approach for Reasoning with Adaptation Rules (extended version). Nicolas François, Jean Lieber.

Other publications

  1. Ontological Relations from Word Embeddings. Mathieu D’aquin, Emmanuel Nauer.
  2. Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity. Liudmyla Klochko, Mathieu D’aquin, Atsushi Togo, Laurent Chaput.
  3. Lillama: Large Language Models Compression via Low-Rank Feature Distillation. Yaya Sy, Christophe Cerisara, Irina Illina.

2024

Journal

  1. Measurement of Cumulative Drug Exposure from Clinical Data Warehouse. Mathilde Bories, Aurélie Bannay, Morgane Pierre-Jean, Guillaume Bouzillé, Pascal Le Corre. Studies in Health Technology and Informatics, IOS Press.
  2. Few-shot remaining useful life prognostics through auxiliary training with related data-set. Alaaeddine Chaoub, Alexandre Voisin, Christophe Cerisara, Benoît Iung. Neural Computing and Applications, Springer Verlag.
  3. Design and architecture of the CARA infrastructure for visualising and benchmarking patient data from general practice. Nathaly Garzón-Orjuela, Agustin Garcia Pereira, Heike Vornhagen, Katarzyna Stasiewicz, Sana Parveen, Doaa Amin, Lukasz Porwol, Mathieu D’aquin, Claire Collins, Fintan Stanley, Mike O’callaghan, Akke Vellinga. BMJ Health & Care Informatics.
  4. 18F-FDG PET can effectively rule out conversion to dementia and the presence of CSF biomarker of neurodegeneration: a real-world data analysis. Sébastien Heyer, Maïa Simon, Matthieu Doyen, Ali Mortada, Véronique Roch, Elodie Jeanbert, Nathalie Thilly, Catherine Malaplate-Armand, Anna Kearney-Schwartz, Thérèse Rivasseau-Jonveaux, Aurélie Bannay, Antoine Verger. Alzheimer’s Research and Therapy, BioMed Central.
  5. Margin-based scenario approach to robust optimization in high dimension. Fabien Lauer. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers.
  6. Some thoughts about artificial stupidity and artificial dumbness. Jean Lieber, Jean-Guy Mailly, Pierre Marquis, Henri Prade, François Rollin. AI Communications, IOS Press.
  7. Gaining a better understanding of online polarization by approaching it as a dynamic process. Celina Treuillier, Sylvain Castagnos, Christèle Lagier, Armelle Brun. Scientific Reports, Nature Publishing Group.

Book

  1. Think before loading. Karën Fort, Marc Anderson, Aurore Coince, Mathieu D’aquin, Maxime Amblard, Sarah Carter, Ilaria Tiddi, Diane Ranville.
  2. L’essentiel de l’intelligence artificielle. Samuel Nowakowski.

Conference paper

  1. Towards A Neural Machine Translation Proposal to Help Everyday Communication for People with Broca’s Aphasia. Mohammed Belgoumri, Chahnez Zakaria, David Langlois, Kamel Smaïli. In proceedings of New Trends in Translation and Technology, Varna, Bulgaria.

  2. KGConv, a Conversational Corpus grounded in Wikidata. Quentin Brabant, Lina Rojas-Barahona, Gwénolé Lecorvé, Claire Gardent. In proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy.

  3. Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation. Liam Cripwell, Joël Legrand, Claire Gardent. In proceedings of The 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI), Turin (IT), Italy.

  4. Exploitation et appréhension de la correspondance d’Henri Poincaré. Prunelle D. Treuil, Mathieu D’aquin, Olivier Bruneau, Jean Lieber, Emmanuel Nauer, Laurent Rollet. In proceedings of Journée Intelligence Artificielle Et Humanités Numériques, Paris (Bibliothèque Nationale de France), France.

  5. Olaaaf: A General Adaptation Prototype. Erwan Diebold, Yan Kabrit, Axel Kril, Jean Lieber, Paul Malvaud, Emmanuel Nauer, Jules Sipp. In proceedings of 32th International Conference on Case-Based Reasoning (ICCBR 2024), Merida, Mexico. J. A. Recio-Garcia, M. G. Orozco-del-Castillo, D. Bridge (eds). 2024.

  6. Clustering with Stable Pattern Concepts. Egor Dudyrev, Mariia Zueva, Sergei Kuznetsov, Amedeo Napoli. In proceedings of The 12th International Workshop “What can FCA do for Artificial Intelligence?”, Saint-Jacques de Compostelle, Spain.

  7. On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss. Mohammed Fellaji, F. Pennerath, Brieuc Conan-Guez, Miguel Couceiro. In proceedings of Machine Learning and Knowledge Discovery in Databases. Research Track European Conference, ECML-PKDD 2024, Vilnius, Lithuania.

  8. Appliquer la logique des variations propositionnelles à la représentation de règles d’adaptation pour le raisonnement à partir de cas. Nicolas François, Jean Lieber. In proceedings of Journées d’intelligence artificielle fondamentale – Plateforme Intelligence Artificielle, La Rochelle, France. Jean-Guy Mailly, François Schwarzentruber, Anaëlle Wilczynski (eds). 2024.

  9. A Frugal Model for Accurate Early Student Failure Prediction. Ikram Gagaoua, Armelle Brun, Anne Boyer. In proceedings of LICE - London International Conference on Education, London, United Kingdom.

  10. SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation. Barbara Gendron, Gaël Guibon. In proceedings of Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA at ACL 2024), Bangkok, Thailand. Association for Computational Linguistics (eds). 2024.

  11. What do BERT word embeddings learn about the French language?. Ekaterina Goliakova, David Langlois. In proceedings of Computational Linguistics in Bulgaria, Sofia, Bulgaria. Department of Computational Linguistics Institute for Bulgarian Language (eds). 2024.

  12. Enrichissement de fonctions de perte avec contraintes de domaine et co-domaine pour la prédiction de liens dans les graphes de connaissance. Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo. In proceedings of 27e Conférence Nationale en Intelligence Artificielle, La Rochelle, France.

  13. Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction. Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo. In proceedings of ESWC 2024 - 21st International Conference on Semantic Web, Hersonissos, Greece.

  14. PyGraft: un outil Python pour la génération de schémas et graphes de connaissance synthétiques. Nicolas Hubert, Pierre Monnin, Mathieu D’aquin, Davy Monticolo, Armelle Brun. In proceedings of 35es Journées francophones d’Ingénierie des Connaissances (IC 2024) @ Plate-Forme Intelligence Artificielle (PFIA 2024), La Rochelle, France.

  15. PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips. Nicolas Hubert, Pierre Monnin, Mathieu D’aquin, Davy Monticolo, Armelle Brun. In proceedings of ESWC 2024 - 21st International Conference on Semantic Web, Hersonissos, Greece.

  16. Do Similar Entities have Similar Embeddings?. Nicolas Hubert, Heiko Paulheim, Armelle Brun, Davy Monticolo. In proceedings of ESWC 2024 - 21st International Conference on Semantic Web, HERSONISSOS (CRETE), Greece.

  17. Détection d’anomalies sur des documents juridiques contractuels. Ahmed Jebbari, Jean-Charles Lamirel, Bart Lamiroy, Aurelie Vallereau. In proceedings of Extraction et Gestion des Connaissances, Dijon, France. Jérôme Gensel, Christophe Cruz, Hocine Cherifi (eds). 2024.

  18. Amélioration d’une Méthode de Clustering des Traces Moodle via l’Encodage des SSF. Noura Joudieh, Marwa Trabelsi, Ronan Champagnat, Mourad Rabah, Samuel Nowakowski, Nikleia Eteokleous. In proceedings of 42e Congrès INFORSID, Nancy, France.

  19. Towards an Online Incremental Approach to Predict Students Performance. Chahrazed Labba, Anne Boyer. In proceedings of 16th International Conference on Computer Supported Education, Angers, France.

  20. Improving Quotation Attribution with Fictional Character Embeddings. Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara. In proceedings of EMNLP 2024 : The 2024 Conference on Empirical Methods in Natural Language Processing, Miami, United States.

  21. Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution. Gaspard Michel, Elena V. Epure, Romain Hennequin, Christophe Cerisara. In proceedings of 18th Conference of the European Chapter of the Association for Computational Linguistics(.EACL 2024 ) workshop LaTeCH-CLfL, St Julian’s, Malta.

  22. Evaluating Knowledge Graph-to-text Generation Models for English and Russian on Out Of Domain Data. Anna Nikiforovskaya, Claire Gardent. In proceedings of 17th International Natural Language Generation Conference, Tokyo, Japan. ACL (eds). 2024.

  23. Document Classification via Stable Graph Patterns and Conceptual AMR Graphs. Eric George Parakal, Egor Dudyrev, Sergei Kuznetsov, Amedeo Napoli. In proceedings of CONCEPTS 2024 - 1st International Joint Conference on Conceptual Knowledge Structures, Cádiz, Spain. Inma P. Cabrera, Sébastien Ferré, Sergei Obiedkov (eds). 2024.

  24. Incremental Multi-view Clustering using Barycentric Coordinate Representation. Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu. In proceedings of 2024 International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, Japan.

  25. Clustering Multi-Vues en utilisant la Représentation des Coordonnées Barycentriques. Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu. In proceedings of Extraction et Gestion des Connaissances, EGC 2024, Dijon, France.

  26. Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL). William Soto, Yannick Parmentier, Claire Gardent. In proceedings of 17th International Natural Language Generation Conference, Tokyo, Japan.

  27. Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity. Ismaël Tankeu, Geoffray Bonnin. In proceedings of MuRS 2024: 2nd Music Recommender Systems Workshop, Bari, Italy.

  28. Clarity: a Deep Ensemble for Visual Counterfactual Explanations. Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli. In proceedings of The 32th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning., Bruges (Belgium), Belgium.

  29. Gramex: Generating Controlled Grammar Exercises from Various Sources. Guillaume Toussaint, Yannick Parmentier, Claire Gardent. In proceedings of NLP4CALL2024 : Natural Language Processing for Computer-assisted Language Learning, Rennes, France.

  30. All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. Celina Treuillier, Sylvain Castagnos, Armelle Brun. In proceedings of ACM/SIGAPP Symposium On Applied Computing, Avila, Spain.

  31. Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, Armelle Brun. In proceedings of 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024), Cagliari, Sardinia, Italy.

Research report

  1. Appliquer la logique des variations propositionnelles à la représentation de règles d’adaptation pour le raisonnement à partir de cas (version étendue). Nicolas François, Jean Lieber.
  2. 2023 Activity Report – Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering. Amedeo Napoli, Alexandre Blansché, Lydia Boudjeloud-Assala, Brieuc Conan-Guez, Miguel Couceiro, Alain Gély, Frédéric Pennerath, Yannick Toussaint, Mario Valencia-Pabon.

Other publications

  1. Growing Neural Networks have Flat Optima and Generalize Better. Paul Caillon, Christophe Cerisara.
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