Automatic and manual clustering for large vocabulary speech recognition: a comparative study. - Kamel Smaïli; Armelle Brun; Imed Zitouni; Jean Paul Haton (EUROSPEECH, 1999)

Discarding impossible events from statistical language models. - Armelle Brun; David Langlois 001; Kamel Smaïli; Jean Paul Haton (INTERSPEECH, 2000)

Experiment Analysis in Newspaper Topic Detection. - Armelle Brun; Kamel Smaïli; Jean Paul Haton (SPIRE, 2000)

A Comparative Study of Topic Identification on Newspaper and E-mail. - Brigitte Bigi; Armelle Brun; Jean Paul Haton; Kamel Smaïli; Imed Zitouni (SPIRE, 2001)

Contribution to topic identification by using word similarity. - Armelle Brun; Kamel Smaïli; Jean Paul Haton (INTERSPEECH, 2002)

WSIM : une méthode de détection de thème fondée sur la similarité entre mots. - Armelle Brun; Kamel Smaïli; Jean-Paul Haton (TALN (Articles longs), 2002)

Nouvelle approche de la sélection de vocabulaire pour la détection de thème. - Armelle Brun; Kamel Smaïli; Jean-Paul Haton (TALN (Articles longs), 2003)

Détection de thème et adaptation des modèles de langage pour la reconnaissance automatique de la parole. - Armelle Brun (2003)

Fiabilité de la référence humaine dans la détection de thème. - Armelle Brun; Kamel Smaïli (TALN (Articles longs), 2004)

Exploration et utilisation d'informations distantes dans les modèles de langage statistiques. - Armelle Brun; David Langlois 001; Kamel Smaïli (TALN (Posters), 2006)

Natural Language Processing for Usage Based Indexing of Web Resources. - Anne Boyer; Armelle Brun (ECIR, 2007)

Towards a statistical grammar of usage for document retrieval in digital libraries. - Anne Boyer; Armelle Brun (ISSPA, 2007)

Improving language models by using distant information. - Armelle Brun; David Langlois 001; Kamel Smaïli (ISSPA, 2007)

Usage based Indexing of Web Resources with Natural Language Processing. - Armelle Brun; Anne Boyer (WEBIST (2), 2007)

Probabilistic Reinforcement Rules for Item-Based Recommender Systems. - Sylvain Castagnos; Armelle Brun; Anne Boyer (ECAI, 2008)

Probabilistic Association Rules for Item-Based Recommender Systems. - Sylvain Castagnos; Armelle Brun; Anne Boyer (STAIRS, 2008)

Using Skipping for Sequence-Based Collaborative Filtering. - Geoffray Bonnin; Armelle Brun; Anne Boyer (Web Intelligence, 2008)

Behavioral similarities for collaborative recommendations. - Ilham Esslimani; Armelle Brun; Anne Boyer (J. Digit. Inf. Manag., 2008)

From Social Networks to Behavioral Networks in Recommender Systems. - Ilham Esslimani; Armelle Brun; Anne Boyer (ASONAM, 2009)

Towards Privacy Compliant and Anytime Recommender Systems. - Armelle Brun; Anne Boyer (EC-Web, 2009)

A low-order markov model integrating long-distance histories for collaborative recommender systems. - Geoffray Bonnin; Armelle Brun; Anne Boyer (IUI, 2009)

History Dependent Recommender Systems Based on Partial Matching. - Armelle Brun; Geoffray Bonnin; Anne Boyer (UMAP, 2009)

A Collaborative Filtering Approach Combining Clustering and Navigational based Correlations. - Ilham Esslimani; Armelle Brun; Anne Boyer (WEBIST, 2009)

Linking Collaborative Filtering and Social Networks: Who Are My Mentors?. - Armelle Brun; Anne Boyer (ASONAM, 2010)

Detecting Leaders in Behavioral Networks. - Ilham Esslimani; Armelle Brun; Anne Boyer (ASONAM, 2010)

Du e-commerce au m-commerce : vers une recommandation incrémentale. - Armelle Brun; Anne Boyer (CORIA, 2010)

Detecting Leaders to Alleviate Latency in Recommender Systems. - Ilham Esslimani; Armelle Brun; Anne Boyer (EC-Web, 2010)

Detecting Parallel Browsing to Improve Web Predictive Modeling. - Geoffray Bonnin; Armelle Brun; Anne Boyer (KDIR, 2010)

From "I Like" to "I Prefer" in Collaborative Filtering. - Armelle Brun; Ahmad Hamad; Olivier Buffet; Anne Boyer (ICTAI (2), 2010)

Towards tabbing aware recommendations. - Geoffray Bonnin; Armelle Brun; Anne Boyer (IITM, 2010)

Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling. - Armelle Brun; Anne Boyer; Liana Razmerita (UMAP, 2010)

Human Computer Collaboration to Improve Annotations in Semantic Wikis. - Anne Boyer; Armelle Brun; Hala Skaf-Molli (WEBIST (2), 2010)

Are Recommender Systems Real-time in Mobile Environment? - Towards Instantaneous Recommenders. - Armelle Brun; Anne Boyer (WEBIST (1), 2010)

Towards Recommender Systems based on Kalman Filters - A New Approach by State Space Modelling. - Samuel Nowakowski; Armelle Brun; Anne Boyer (WEBIST (1), 2010)

Inspiration des sondages d'opinion pour réduire la latence en filtrage collaboratif. - Armelle Brun; Anne Boyer (CORIA, 2011)

Collaborative Learning in Heterogeneous Classes - Towards a Group Formation Methodology. - Liana Razmerita; Armelle Brun (CSEDU (2), 2011)

An Exploratory Work in Using Comparisons Instead of Ratings. - Nicolas Jones; Armelle Brun; Anne Boyer; Ahmad Hamad (EC-Web, 2011)

Initial Perspectives from Preferences Expressed through Comparisons. - Nicolas Jones; Armelle Brun; Anne Boyer (HCI (22), 2011)

Handling Tabbing and Backward References for Predictive Web Usage Mining. - Geoffray Bonnin; Armelle Brun; Anne Boyer (KDIR, 2011)

Improving reliability of user preferences: Comparing instead of rating. - Nicolas Jones; Armelle Brun; Anne Boyer (ICDIM, 2011)

Comparisons Instead of Ratings: Towards More Stable Preferences. - Nicolas Jones; Armelle Brun; Anne Boyer (Web Intelligence, 2011)

From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering. - Armelle Brun; Sylvain Castagnos; Anne Boyer (Adv. Multim., 2011)

Densifying a behavioral recommender system by social networks link prediction methods. - Ilham Esslimani; Armelle Brun; Anne Boyer (Soc. Netw. Anal. Min., 2011)

Utilisation d'invariants pour une médiation inter-domaines de modèles utilisateurs : ressources invariantes et invariants sémantiques. - Emilien Perrin; Armelle Brun; Anne Boyer (EGC, 2012)

From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach. - Amine M. Boumaza; Armelle Brun (GECCO, 2012)

Stochastic search for global neighbors selection in collaborative filtering. - Amine M. Boumaza; Armelle Brun (SAC, 2012)

Détection de communautés d'intérêt et recommandation sociale par leaders. - Armelle Brun; Anne Boyer (Ingénierie des Systèmes d Inf., 2012)

Exploitation du skipping pour la modélisation prédictive des usages du web. Vers une meilleure prise en compte du bruit. - Geoffray Bonnin; Armelle Brun; Anne Boyer (Rev. d'Intelligence Artif., 2012)

Utilité et perception de la diversité dans les systèmes de recommandation. - Sylvain Castagnos; Armelle Brun; Anne Boyer (CORIA, 2013)

Towards Leader Based Recommendations. - Ilham Esslimani; Armelle Brun; Anne Boyer (The Influence of Technology on Social Network Analysis and Mining, 2013)

Unsupervised Machine Learning Based on Recommendation of Pedagogical Resources. - Brahim Batouche; Armelle Brun; Anne Boyer (EC-TEL, 2014)

Extraction de règles d'épisodes minimales dans des séquences complexes. - Lina Fahed; Armelle Brun; Anne Boyer (EGC, 2014)

What about Interpreting Features in Matrix Factorization-based Recommender Systems as Users? - Marharyta Aleksandrova; Armelle Brun; Anne Boyer; Oleg Chertov (HT (Doctoral Consortium / Late-breaking Results / Workshops), 2014)

Episode Rules Mining Algorithm for Distant Event Prediction. - Lina Fahed; Armelle Brun; Anne Boyer (KDIR, 2014)

Efficient Discovery of Episode Rules with a Minimal Antecedent and a Distant Consequent. - Lina Fahed; Armelle Brun; Anne Boyer (IC3K (Selected Papers), 2014)

Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems? - Armelle Brun; Marharyta Aleksandrova; Anne Boyer (WI-IAT (1), 2014)

Identification des utilisateurs atypiques dans les systèmes de recommandation sociale. - Benjamin Gras 001; Armelle Brun; Anne Boyer (EGC, 2015)

Predict the Emergence: Application to Competencies in Job Offers. - Yacine Abboud; Anne Boyer; Armelle Brun (ICTAI, 2015)

Influencer Events in Episode Rules: A Way to Impact the Occurrence of Events. - Lina Fahed; Armelle Brun; Anne Boyer (KES, 2015)

Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations. - Benjamin Gras 001; Armelle Brun; Anne Boyer (WEBIST, 2015)

When Users with Preferences Different from Others Get Inaccurate Recommendations. - Benjamin Gras 001; Armelle Brun; Anne Boyer (WEBIST (Revised Selected Papers), 2015)

Sets of Contrasting Rules to Identify Trigger Factors. - Marharyta Aleksandrova; Armelle Brun; Oleg Chertov; Anne Boyer (ECAI, 2016)

Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors. - Marharyta Aleksandrova; Armelle Brun; Oleg Chertov; Anne Boyer (ICTAI, 2016)

Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based Technique. - Benjamin Gras 001; Armelle Brun; Anne Boyer (UMAP, 2016)

Contrast classification rules for mining local differences in medical data. - Marharyta Aleksandrova; Oleg Chertov; Armelle Brun; Anne Boyer (IDAACS, 2017)

CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm. - Yacine Abboud; Anne Boyer; Armelle Brun (MLDM, 2017)

Can Matrix Factorization Improve the Accuracy of Recommendations Provided to Grey Sheep Users?. - Benjamin Gras 001; Armelle Brun; Anne Boyer (WEBIST, 2017)

Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem. - Marharyta Aleksandrova; Armelle Brun; Anne Boyer; Oleg Chertov (J. Intell. Inf. Syst., 2017)

Sur les traces du futur : entre comprendre et predire. - Armelle Brun (2018)

DEER: Distant and Essential Episode Rules for early prediction. - Lina Fahed; Armelle Brun; Anne Boyer (Expert Syst. Appl., 2018)

Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition. - Adrien Dufraux; Emmanuel Vincent 001; Awni Y. Hannun; Armelle Brun; Matthijs Douze (ASRU, 2019)

Learning Analytics Made in France: The METALproject. - Armelle Brun; Geoffray Bonnin; Sylvain Castagnos; Azim Roussanaly; Anne Boyer (CoRR, 2019)

Multi-source Relations for Contextual Data Mining in Learning Analytics. - Julie Bu Daher; Armelle Brun; Anne Boyer (CoRR, 2019)

C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data. - Yacine Abboud; Armelle Brun; Anne Boyer (Expert Syst. Appl., 2019)

New Measures for Offline Evaluation of Learning Path Recommenders. - Zhao Zhang 022; Armelle Brun; Anne Boyer (EC-TEL, 2020)

Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity? - Oriane Dermy; Armelle Brun (EDM, 2020)

Handling Item Similarity in Behavioral Patterns through General Pattern Mining. - Julie Bu Daher; Armelle Brun (WI/IAT, 2020)

Multi-source Data Mining for e-Learning. - Julie Bu Daher; Armelle Brun; Anne Boyer (CoRR, 2020)

Decision Support System for Online Recruitment. - Halima Ramdani; Davy Monticolo; Armelle Brun; Eric Bonjour (ICIKS, 2021)

Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis. - Patrick Owusu; Armelle Brun; Shengrui Wang (ICDM (Workshops), 2021)

Collaboration in the Machine Age: Trustworthy Human-AI Collaboration. - Liana Razmerita; Armelle Brun; Thierry Nabeth (Advances in Selected Artificial Intelligence Areas, 2022)

Managing Learners' Memory Strength in a POMDP-Based Learning Path Recommender System. - Zhao Zhang 022; Armelle Brun; Anne Boyer (AIED (2), 2022)

New Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case. - Nicolas Hubert; Pierre Monnin; Armelle Brun; Davy Monticolo (EKAW, 2022)

Independent influence of exploration and exploitation for metaheuristic-based recommendations. - Alexandre Bettinger; Armelle Brun; Anne Boyer (GECCO Companion, 2022)

DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification. - Wissem Inoubli; Armelle Brun (HR@RecSys, 2022)

Presence Variations for E&E Transitions Explainability. - Alexandre Bettinger; Armelle Brun; Anne Boyer (KES, 2022)

Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. - Evan Dufraisse; Célina Treuillier; Armelle Brun; Julien Tourille; Sylvain Castagnos; Adrian Popescu 001 (PoliticalNLP@LREC, 2022)

New Ontology and Knowledge Graph for University Curriculum Recommendation. - Nicolas Hubert; Armelle Brun; Davy Monticolo (ISWC (Posters/Demos/Industry), 2022)

Knowledge Graph Embeddings for Link Prediction: Beware of Semantics! - Nicolas Hubert; Pierre Monnin; Armelle Brun; Davy Monticolo (DL4KG@ISWC, 2022)

Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Evan Dufraisse; Armelle Brun (UMAP (Adjunct Publication), 2022)

DEEP, a methodology for entity extraction using organizational patterns: Application to job offers. - Halima Ramdani; Armelle Brun; Eric Bonjour; Davy Monticolo (Knowl. Based Syst., 2022)

MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification. - Evan Dufraisse; Adrian Popescu 001; Julien Tourille; Armelle Brun; Jérôme Deshayes (ACL (1), 2023)

Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data. - Patrick Asante Owusu; Etienne Gael Tajeuna; Jean-Marc Patenaude; Armelle Brun; Shengrui Wang (ICDM, 2023)

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE. - Nicolas Hubert; Heiko Paulheim; Pierre Monnin; Armelle Brun; Davy Monticolo (K-CAP, 2023)

A Multi-factorial Analysis of Polarization on Social Media. - Célina Treuillier; Armelle Brun; Sylvain Castagnos (UMAP (Adjunct Publication), 2023)

Sem@K: Is my knowledge graph embedding model semantic-aware? - Nicolas Hubert; Pierre Monnin; Armelle Brun; Davy Monticolo (CoRR, 2023)

Characterizing Financial Market Coverage using Artificial Intelligence. - Jean Marie Tshimula; D'Jeff K. Nkashama; Patrick Owusu; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza; Armelle Brun; Jean-Marc Patenaude; Shengrui Wang; Belkacem Chikhaoui (CoRR, 2023)

Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions. - Nicolas Hubert; Pierre Monnin; Armelle Brun; Davy Monticolo (CoRR, 2023)

PyGraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips. - Nicolas Hubert; Pierre Monnin; Mathieu d'Aquin; Armelle Brun; Davy Monticolo (CoRR, 2023)

Gaining a better understanding of online polarization by approaching it as a dynamic process. - Célina Treuillier; Sylvain Castagnos; Christèle Lagier; Armelle Brun (CoRR, 2023)

Sem@K: Is my knowledge graph embedding model semantic-aware? - Nicolas Hubert; Pierre Monnin; Armelle Brun; Davy Monticolo (Semantic Web, 2023)

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction. - Nicolas Hubert; Pierre Monnin; Armelle Brun; Davy Monticolo (ESWC (1), 2024)

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips. - Nicolas Hubert; Pierre Monnin; Mathieu d'Aquin; Davy Monticolo; Armelle Brun (ESWC (2), 2024)

Do Similar Entities Have Similar Embeddings? - Nicolas Hubert; Heiko Paulheim; Armelle Brun; Davy Monticolo (ESWC (1), 2024)

Un algorithme d'apprentissage profond et semi-supervisé basé sur la représentation de graphes pour la classification des CV. - Wissem Inoubli; Armelle Brun (EGC, 2024)

All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. - Célina Treuillier; Sylvain Castagnos; Armelle Brun (SAC, 2024)

Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Özlem Özgöbek; Armelle Brun (UMAP, 2024)

Combining Objective and Subjective Perspectives for Political News Understanding. - Evan Dufraisse; Adrian Popescu 001; Julien Tourille; Armelle Brun; Olivier Hamon (CoRR, 2024)

Explicabilité des recommandations en e-commerce : étude du modèle Zeplace. - Ousmane Diop; Noura Benhajji; Armelle Brun; Mathieu d'Aquin; Tristan Viller (EGC, 2025)

A Frugal Model for Accurate Early Student Failure Prediction. - Gagaoua Ikram; Armelle Brun; Anne Boyer (CoRR, 2025)