Armelle Brun

Orcid: 0000-0002-9876-6906

According to our database1, Armelle Brun authored at least 108 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Combining Objective and Subjective Perspectives for Political News Understanding.
CoRR, 2024

Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems.
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Un algorithme d'apprentissage profond et semi-supervisé basé sur la représentation de graphes pour la classification des CV.
Proceedings of the Extraction et Gestion des Connaissances, 2024

Do Similar Entities Have Similar Embeddings?
Proceedings of the Semantic Web - 21st International Conference, 2024

PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips.
Proceedings of the Semantic Web - 21st International Conference, 2024

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction.
Proceedings of the Semantic Web - 21st International Conference, 2024

2023
Sem@<i>K</i>: Is my knowledge graph embedding model semantic-aware?
Semantic Web, 2023

Gaining a better understanding of online polarization by approaching it as a dynamic process.
CoRR, 2023

PyGraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips.
CoRR, 2023

Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions.
CoRR, 2023

Characterizing Financial Market Coverage using Artificial Intelligence.
CoRR, 2023

Sem@K: Is my knowledge graph embedding model semantic-aware?
CoRR, 2023

A Multi-factorial Analysis of Polarization on Social Media.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE.
Proceedings of the 12th Knowledge Capture Conference 2023, 2023

Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
DEEP, a methodology for entity extraction using organizational patterns: Application to job offers.
Knowl. Based Syst., 2022

Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Knowledge Graph Embeddings for Link Prediction: Beware of Semantics!
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022

New Ontology and Knowledge Graph for University Curriculum Recommendation.
Proceedings of the ISWC 2022 Posters, 2022

Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations.
Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, 2022

Presence Variations for E&E Transitions Explainability.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification.
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Independent influence of exploration and exploitation for metaheuristic-based recommendations.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

New Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case.
Proceedings of the Knowledge Engineering and Knowledge Management, 2022

Managing Learners' Memory Strength in a POMDP-Based Learning Path Recommender System.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Collaboration in the Machine Age: Trustworthy Human-AI Collaboration.
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022

2021
Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis.
Proceedings of the 2021 International Conference on Data Mining, 2021

Decision Support System for Online Recruitment.
Proceedings of the Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making, 2021

2020
Multi-source Data Mining for e-Learning.
CoRR, 2020

Handling Item Similarity in Behavioral Patterns through General Pattern Mining.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity?
Proceedings of the 13th International Conference on Educational Data Mining, 2020

New Measures for Offline Evaluation of Learning Path Recommenders.
Proceedings of the Addressing Global Challenges and Quality Education, 2020

2019
C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data.
Expert Syst. Appl., 2019

Multi-source Relations for Contextual Data Mining in Learning Analytics.
CoRR, 2019

Learning Analytics Made in France: The METALproject.
CoRR, 2019

Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
DEER: Distant and Essential Episode Rules for early prediction.
Expert Syst. Appl., 2018

Sur les traces du futur : entre comprendre et predire.
, 2018

2017
Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem.
J. Intell. Inf. Syst., 2017

Can Matrix Factorization Improve the Accuracy of Recommendations Provided to Grey Sheep Users?.
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017

CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Contrast classification rules for mining local differences in medical data.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016
Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based Technique.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Sets of Contrasting Rules to Identify Trigger Factors.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
When Users with Preferences Different from Others Get Inaccurate Recommendations.
Proceedings of the Web Information Systems and Technologies, 2015

Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations.
Proceedings of the WEBIST 2015, 2015

Influencer Events in Episode Rules: A Way to Impact the Occurrence of Events.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Predict the Emergence: Application to Competencies in Job Offers.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Identification des utilisateurs atypiques dans les systèmes de recommandation sociale.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Efficient Discovery of Episode Rules with a Minimal Antecedent and a Distant Consequent.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Episode Rules Mining Algorithm for Distant Event Prediction.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

What about Interpreting Features in Matrix Factorization-based Recommender Systems as Users?
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014

Extraction de règles d'épisodes minimales dans des séquences complexes.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Unsupervised Machine Learning Based on Recommendation of Pedagogical Resources.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014

2013
Towards Leader Based Recommendations.
Proceedings of the Influence of Technology on Social Network Analysis and Mining, 2013

Utilité et perception de la diversité dans les systèmes de recommandation.
Proceedings of the CORIA 2013 - Conférence en Recherche d'Infomations et Applications, 2013

2012
Exploitation du skipping pour la modélisation prédictive des usages du web. Vers une meilleure prise en compte du bruit.
Rev. d'Intelligence Artif., 2012

Détection de communautés d'intérêt et recommandation sociale par leaders.
Ingénierie des Systèmes d Inf., 2012

Stochastic search for global neighbors selection in collaborative filtering.
Proceedings of the ACM Symposium on Applied Computing, 2012

From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Utilisation d'invariants pour une médiation inter-domaines de modèles utilisateurs : ressources invariantes et invariants sémantiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011
Densifying a behavioral recommender system by social networks link prediction methods.
Soc. Netw. Anal. Min., 2011

From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering.
Adv. Multim., 2011

Comparisons Instead of Ratings: Towards More Stable Preferences.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Improving reliability of user preferences: Comparing instead of rating.
Proceedings of the Sixth IEEE International Conference on Digital Information Management, 2011

Handling Tabbing and Backward References for Predictive Web Usage Mining.
Proceedings of the KDIR 2011, 2011

Initial Perspectives from Preferences Expressed through Comparisons.
Proceedings of the HCI International 2011 - Posters' Extended Abstracts, 2011

An Exploratory Work in Using Comparisons Instead of Ratings.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

Collaborative Learning in Heterogeneous Classes - Towards a Group Formation Methodology.
Proceedings of the CSEDU 2011, 2011

Inspiration des sondages d'opinion pour réduire la latence en filtrage collaboratif.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2011

2010
Towards Recommender Systems based on Kalman Filters - A New Approach by State Space Modelling.
Proceedings of the WEBIST 2010, 2010

Are Recommender Systems Real-time in Mobile Environment? - Towards Instantaneous Recommenders.
Proceedings of the WEBIST 2010, 2010

Human Computer Collaboration to Improve Annotations in Semantic Wikis.
Proceedings of the WEBIST 2010, 2010

Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling.
Proceedings of the User Modeling, 2010

Towards tabbing aware recommendations.
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia, 2010

From "I Like" to "I Prefer" in Collaborative Filtering.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Detecting Parallel Browsing to Improve Web Predictive Modeling.
Proceedings of the KDIR 2010, 2010

Detecting Leaders to Alleviate Latency in Recommender Systems.
Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Du e-commerce au m-commerce : vers une recommandation incrémentale.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

Detecting Leaders in Behavioral Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Linking Collaborative Filtering and Social Networks: Who Are My Mentors?.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
A Collaborative Filtering Approach Combining Clustering and Navigational based Correlations.
Proceedings of the WEBIST 2009, 2009

History Dependent Recommender Systems Based on Partial Matching.
Proceedings of the User Modeling, 2009

A low-order markov model integrating long-distance histories for collaborative recommender systems.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

Towards Privacy Compliant and Anytime Recommender Systems.
Proceedings of the E-Commerce and Web Technologies, 10th International Conference, 2009

From Social Networks to Behavioral Networks in Recommender Systems.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Behavioral similarities for collaborative recommendations.
J. Digit. Inf. Manag., 2008

Using Skipping for Sequence-Based Collaborative Filtering.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Probabilistic Association Rules for Item-Based Recommender Systems.
Proceedings of the STAIRS 2008, 2008

Probabilistic Reinforcement Rules for Item-Based Recommender Systems.
Proceedings of the ECAI 2008, 2008

2007
Usage based Indexing of Web Resources with Natural Language Processing.
Proceedings of the WEBIST 2007, 2007

Improving language models by using distant information.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Towards a statistical grammar of usage for document retrieval in digital libraries.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Natural Language Processing for Usage Based Indexing of Web Resources.
Proceedings of the Advances in Information Retrieval, 2007

2006
Exploration et utilisation d'informations distantes dans les modèles de langage statistiques.
Proceedings of the Actes de la 13ème conférence sur le Traitement Automatique des Langues Naturelles. Posters, 2006

2004
Fiabilité de la référence humaine dans la détection de thème.
Proceedings of the Actes de la 11ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 2004

2003
Détection de thème et adaptation des modèles de langage pour la reconnaissance automatique de la parole.
PhD thesis, 2003

Nouvelle approche de la sélection de vocabulaire pour la détection de thème.
Proceedings of the Actes de la 10ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 2003

2002
WSIM : une méthode de détection de thème fondée sur la similarité entre mots.
Proceedings of the Actes de la 9ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 2002

Contribution to topic identification by using word similarity.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2001
A Comparative Study of Topic Identification on Newspaper and E-mail.
Proceedings of the Eighth International Symposium on String Processing and Information Retrieval, 2001

2000
Experiment Analysis in Newspaper Topic Detection.
Proceedings of the Seventh International Symposium on String Processing and Information Retrieval, 2000

Discarding impossible events from statistical language models.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Automatic and manual clustering for large vocabulary speech recognition: a comparative study.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999


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