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2020 – today
- 2024
[c85]Nicolas Hubert
, Pierre Monnin, Mathieu d'Aquin, Davy Monticolo, Armelle Brun:
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips. ESWC (2) 2024: 3-20- [c84]Nicolas Hubert, Heiko Paulheim, Armelle Brun, Davy Monticolo:
Do Similar Entities Have Similar Embeddings? ESWC (1) 2024: 3-21 - [c83]Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction. ESWC (1) 2024: 22-40 - [c82]Wissem Inoubli, Armelle Brun:
Un algorithme d'apprentissage profond et semi-supervisé basé sur la représentation de graphes pour la classification des CV. EGC 2024: 401-408 - [c81]Célina Treuillier, Sylvain Castagnos, Armelle Brun:
All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. SAC 2024: 1469-1478 - [c80]Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, Armelle Brun:
Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. UMAP 2024: 143-148 - [i14]Evan Dufraisse, Adrian Popescu, Julien Tourille, Armelle Brun, Olivier Hamon:
Combining Objective and Subjective Perspectives for Political News Understanding. CoRR abs/2408.11174 (2024) - 2023
- [j10]Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Sem@K: Is my knowledge graph embedding model semantic-aware? Semantic Web 14(6): 1273-1309 (2023) - [c79]Evan Dufraisse, Adrian Popescu, Julien Tourille, Armelle Brun, Jérôme Deshayes:
MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification. ACL (1) 2023: 8286-8305 - [c78]Patrick Asante Owusu, Etienne Gael Tajeuna, Jean-Marc Patenaude, Armelle Brun, Shengrui Wang:
Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data. ICDM 2023: 1247-1252 - [c77]Nicolas Hubert, Heiko Paulheim, Pierre Monnin, Armelle Brun, Davy Monticolo:
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE. K-CAP 2023: 188-196 - [c76]Célina Treuillier, Armelle Brun, Sylvain Castagnos:
A Multi-factorial Analysis of Polarization on Social Media. UMAP (Adjunct Publication) 2023: 1-6 - [i13]Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Sem@K: Is my knowledge graph embedding model semantic-aware? CoRR abs/2301.05601 (2023) - [i12]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:
Characterizing Financial Market Coverage using Artificial Intelligence. CoRR abs/2302.03694 (2023) - [i11]Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions. CoRR abs/2303.00286 (2023) - [i10]Célina Treuillier, Sylvain Castagnos, Armelle Brun:
A Multi-Factorial Analysis of Polarization on Social Media. CoRR abs/2306.00032 (2023) - [i9]Nicolas Hubert, Heiko Paulheim, Pierre Monnin, Armelle Brun, Davy Monticolo:
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE. CoRR abs/2306.03659 (2023) - [i8]Nicolas Hubert, Pierre Monnin, Mathieu d'Aquin, Armelle Brun, Davy Monticolo:
PyGraft: Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips. CoRR abs/2309.03685 (2023) - [i7]Célina Treuillier, Sylvain Castagnos, Christèle Lagier, Armelle Brun:
Gaining a better understanding of online polarization by approaching it as a dynamic process. CoRR abs/2309.10423 (2023) - [i6]Célina Treuillier, Sylvain Castagnos, Armelle Brun:
All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. CoRR abs/2312.04603 (2023) - [i5]Nicolas Hubert, Heiko Paulheim, Armelle Brun, Davy Monticolo:
Do Similar Entities have Similar Embeddings? CoRR abs/2312.10370 (2023) - 2022
- [j9]Halima Ramdani, Armelle Brun, Eric Bonjour, Davy Monticolo:
DEEP, a methodology for entity extraction using organizational patterns: Application to job offers. Knowl. Based Syst. 258: 109573 (2022) - [c75]Zhao Zhang, Armelle Brun, Anne Boyer:
Managing Learners' Memory Strength in a POMDP-Based Learning Path Recommender System. AIED (2) 2022: 284-288 - [c74]Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
New Strategies for Learning Knowledge Graph Embeddings: The Recommendation Case. EKAW 2022: 66-80 - [c73]Alexandre Bettinger, Armelle Brun, Anne Boyer:
Independent influence of exploration and exploitation for metaheuristic-based recommendations. GECCO Companion 2022: 475-478 - [c72]Wissem Inoubli, Armelle Brun:
DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification. HR@RecSys 2022 - [c71]Alexandre Bettinger, Armelle Brun, Anne Boyer:
Presence Variations for E&E Transitions Explainability. KES 2022: 1802-1811 - [c70]Evan Dufraisse, Célina Treuillier, Armelle Brun, Julien Tourille, Sylvain Castagnos, Adrian Popescu:
Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. PoliticalNLP@LREC 2022: 79-85 - [c69]Nicolas Hubert, Armelle Brun, Davy Monticolo:
New Ontology and Knowledge Graph for University Curriculum Recommendation. ISWC (Posters/Demos/Industry) 2022 - [c68]Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Knowledge Graph Embeddings for Link Prediction: Beware of Semantics! DL4KG@ISWC 2022 - [c67]Célina Treuillier, Sylvain Castagnos, Evan Dufraisse, Armelle Brun:
Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. UMAP (Adjunct Publication) 2022: 222-233 - [p2]Liana Razmerita, Armelle Brun, Thierry Nabeth:
Collaboration in the Machine Age: Trustworthy Human-AI Collaboration. Advances in Selected Artificial Intelligence Areas 2022: 333-356 - 2021
- [c66]Halima Ramdani, Davy Monticolo, Armelle Brun, Eric Bonjour:
Decision Support System for Online Recruitment. ICIKS 2021: 43-51 - [c65]Patrick Owusu, Armelle Brun, Shengrui Wang:
Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis. ICDM (Workshops) 2021: 552-557 - 2020
- [c64]Zhao Zhang, Armelle Brun, Anne Boyer:
New Measures for Offline Evaluation of Learning Path Recommenders. EC-TEL 2020: 259-273 - [c63]Oriane Dermy, Armelle Brun:
Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity? EDM 2020 - [c62]Julie Bu Daher, Armelle Brun:
Handling Item Similarity in Behavioral Patterns through General Pattern Mining. WI/IAT 2020: 611-618 - [i4]Julie Bu Daher, Armelle Brun, Anne Boyer:
Multi-source Data Mining for e-Learning. CoRR abs/2009.08791 (2020)
2010 – 2019
- 2019
- [j8]Yacine Abboud, Armelle Brun, Anne Boyer:
C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data. Expert Syst. Appl. 131: 172-189 (2019) - [c61]Adrien Dufraux, Emmanuel Vincent, Awni Y. Hannun, Armelle Brun, Matthijs Douze:
Lead2Gold: Towards Exploiting the Full Potential of Noisy Transcriptions for Speech Recognition. ASRU 2019: 78-85 - [i3]Armelle Brun, Geoffray Bonnin, Sylvain Castagnos, Azim Roussanaly, Anne Boyer:
Learning Analytics Made in France: The METALproject. CoRR abs/1904.02528 (2019) - [i2]Julie Bu Daher, Armelle Brun, Anne Boyer:
Multi-source Relations for Contextual Data Mining in Learning Analytics. CoRR abs/1907.04643 (2019) - [i1]Adrien Dufraux, Emmanuel Vincent, Awni Y. Hannun, Armelle Brun, Matthijs Douze:
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition. CoRR abs/1910.07323 (2019) - 2018
- [b2]Armelle Brun:
Sur les traces du futur : entre comprendre et predire. University of Lorraine, Nancy, France, 2018 - [j7]Lina Fahed, Armelle Brun, Anne Boyer:
DEER: Distant and Essential Episode Rules for early prediction. Expert Syst. Appl. 93: 283-298 (2018) - 2017
- [j6]Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov:
Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem. J. Intell. Inf. Syst. 48(2): 365-397 (2017) - [c60]Marharyta Aleksandrova, Oleg Chertov, Armelle Brun, Anne Boyer:
Contrast classification rules for mining local differences in medical data. IDAACS 2017: 880-883 - [c59]Yacine Abboud, Anne Boyer, Armelle Brun:
CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm. MLDM 2017: 147-162 - [c58]Benjamin Gras, Armelle Brun, Anne Boyer:
Can Matrix Factorization Improve the Accuracy of Recommendations Provided to Grey Sheep Users?. WEBIST 2017: 88-96 - 2016
- [c57]Marharyta Aleksandrova, Armelle Brun, Oleg Chertov, Anne Boyer:
Sets of Contrasting Rules to Identify Trigger Factors. ECAI 2016: 1728-1729 - [c56]Marharyta Aleksandrova, Armelle Brun, Oleg Chertov, Anne Boyer:
Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors. ICTAI 2016: 431-435 - [c55]Benjamin Gras, Armelle Brun, Anne Boyer:
Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based Technique. UMAP 2016: 17-26 - 2015
- [c54]Benjamin Gras, Armelle Brun, Anne Boyer:
Identification des utilisateurs atypiques dans les systèmes de recommandation sociale. EGC 2015: 359-364 - [c53]Yacine Abboud, Anne Boyer, Armelle Brun:
Predict the Emergence: Application to Competencies in Job Offers. ICTAI 2015: 612-619 - [c52]Lina Fahed, Armelle Brun, Anne Boyer:
Influencer Events in Episode Rules: A Way to Impact the Occurrence of Events. KES 2015: 527-536 - [c51]Benjamin Gras, Armelle Brun, Anne Boyer:
When Users with Preferences Different from Others Get Inaccurate Recommendations. WEBIST (Revised Selected Papers) 2015: 191-210 - [c50]Benjamin Gras, Armelle Brun, Anne Boyer:
Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations. WEBIST 2015: 381-389 - 2014
- [c49]Brahim Batouche, Armelle Brun, Anne Boyer:
Unsupervised Machine Learning Based on Recommendation of Pedagogical Resources. EC-TEL 2014: 548-549 - [c48]Lina Fahed, Armelle Brun, Anne Boyer:
Extraction de règles d'épisodes minimales dans des séquences complexes. EGC 2014: 545-548 - [c47]Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov:
What about Interpreting Features in Matrix Factorization-based Recommender Systems as Users? HT (Doctoral Consortium / Late-breaking Results / Workshops) 2014 - [c46]Lina Fahed, Armelle Brun, Anne Boyer:
Efficient Discovery of Episode Rules with a Minimal Antecedent and a Distant Consequent. IC3K (Selected Papers) 2014: 3-18 - [c45]Lina Fahed, Armelle Brun, Anne Boyer:
Episode Rules Mining Algorithm for Distant Event Prediction. KDIR 2014: 5-13 - [c44]Armelle Brun, Marharyta Aleksandrova, Anne Boyer:
Can Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems? WI-IAT (1) 2014: 226-233 - 2013
- [c43]Sylvain Castagnos, Armelle Brun, Anne Boyer:
Utilité et perception de la diversité dans les systèmes de recommandation. CORIA 2013: 237-252 - [p1]Ilham Esslimani, Armelle Brun, Anne Boyer:
Towards Leader Based Recommendations. The Influence of Technology on Social Network Analysis and Mining 2013: 455-470 - 2012
- [j5]Armelle Brun, Anne Boyer:
Détection de communautés d'intérêt et recommandation sociale par leaders. Ingénierie des Systèmes d Inf. 17(6): 91-113 (2012) - [j4]Geoffray Bonnin, Armelle Brun, Anne Boyer:
Exploitation du skipping pour la modélisation prédictive des usages du web. Vers une meilleure prise en compte du bruit. Rev. d'Intelligence Artif. 26(6): 609-642 (2012) - [c42]Emilien Perrin, Armelle Brun, Anne Boyer:
Utilisation d'invariants pour une médiation inter-domaines de modèles utilisateurs : ressources invariantes et invariants sémantiques. EGC 2012: 255-266 - [c41]Amine M. Boumaza, Armelle Brun:
From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach. GECCO 2012: 345-352 - [c40]Amine M. Boumaza, Armelle Brun:
Stochastic search for global neighbors selection in collaborative filtering. SAC 2012: 232-237 - 2011
- [j3]Armelle Brun, Sylvain Castagnos, Anne Boyer:
From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering. Adv. Multim. 2011: 852518:1-852518:19 (2011) - [j2]Ilham Esslimani, Armelle Brun, Anne Boyer:
Densifying a behavioral recommender system by social networks link prediction methods. Soc. Netw. Anal. Min. 1(3): 159-172 (2011) - [c39]Armelle Brun, Anne Boyer:
Inspiration des sondages d'opinion pour réduire la latence en filtrage collaboratif. CORIA 2011: 49-56 - [c38]Liana Razmerita, Armelle Brun:
Collaborative Learning in Heterogeneous Classes - Towards a Group Formation Methodology. CSEDU (2) 2011: 189-194 - [c37]Nicolas Jones, Armelle Brun, Anne Boyer, Ahmad Hamad:
An Exploratory Work in Using Comparisons Instead of Ratings. EC-Web 2011: 184-195 - [c36]Nicolas Jones, Armelle Brun, Anne Boyer:
Initial Perspectives from Preferences Expressed through Comparisons. HCI (22) 2011: 33-37 - [c35]Geoffray Bonnin, Armelle Brun, Anne Boyer:
Handling Tabbing and Backward References for Predictive Web Usage Mining. KDIR 2011: 503-509 - [c34]Nicolas Jones, Armelle Brun, Anne Boyer:
Improving reliability of user preferences: Comparing instead of rating. ICDIM 2011: 316-321 - [c33]Nicolas Jones, Armelle Brun, Anne Boyer:
Comparisons Instead of Ratings: Towards More Stable Preferences. Web Intelligence 2011: 451-456 - 2010
- [c32]Ilham Esslimani, Armelle Brun, Anne Boyer:
Detecting Leaders in Behavioral Networks. ASONAM 2010: 281-285 - [c31]Armelle Brun, Anne Boyer:
Linking Collaborative Filtering and Social Networks: Who Are My Mentors?. ASONAM 2010: 409-410 - [c30]Armelle Brun, Anne Boyer:
Du e-commerce au m-commerce : vers une recommandation incrémentale. CORIA 2010: 51-66 - [c29]Ilham Esslimani, Armelle Brun, Anne Boyer:
Detecting Leaders to Alleviate Latency in Recommender Systems. EC-Web 2010: 229-240 - [c28]Geoffray Bonnin, Armelle Brun, Anne Boyer:
Detecting Parallel Browsing to Improve Web Predictive Modeling. KDIR 2010: 504-509 - [c27]Armelle Brun, Ahmad Hamad, Olivier Buffet, Anne Boyer:
From "I Like" to "I Prefer" in Collaborative Filtering. ICTAI (2) 2010: 365-367 - [c26]Geoffray Bonnin, Armelle Brun, Anne Boyer:
Towards tabbing aware recommendations. IITM 2010: 316-323 - [c25]Armelle Brun, Anne Boyer, Liana Razmerita:
Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling. UMAP 2010: 303-314 - [c24]Anne Boyer, Armelle Brun, Hala Skaf-Molli:
Human Computer Collaboration to Improve Annotations in Semantic Wikis. WEBIST (2) 2010: 89-94 - [c23]Armelle Brun, Anne Boyer:
Are Recommender Systems Real-time in Mobile Environment? - Towards Instantaneous Recommenders. WEBIST (1) 2010: 101-106 - [c22]Samuel Nowakowski, Armelle Brun, Anne Boyer:
Towards Recommender Systems based on Kalman Filters - A New Approach by State Space Modelling. WEBIST (1) 2010: 345-349
2000 – 2009
- 2009
- [c21]Ilham Esslimani, Armelle Brun, Anne Boyer:
From Social Networks to Behavioral Networks in Recommender Systems. ASONAM 2009: 143-148 - [c20]Armelle Brun, Anne Boyer:
Towards Privacy Compliant and Anytime Recommender Systems. EC-Web 2009: 276-287 - [c19]Geoffray Bonnin, Armelle Brun, Anne Boyer:
A low-order markov model integrating long-distance histories for collaborative recommender systems. IUI 2009: 57-66 - [c18]Armelle Brun, Geoffray Bonnin, Anne Boyer:
History Dependent Recommender Systems Based on Partial Matching. UMAP 2009: 343-348 - [c17]Ilham Esslimani, Armelle Brun, Anne Boyer:
A Collaborative Filtering Approach Combining Clustering and Navigational based Correlations. WEBIST 2009: 364-369 - 2008
- [j1]Ilham Esslimani, Armelle Brun, Anne Boyer:
Behavioral similarities for collaborative recommendations. J. Digit. Inf. Manag. 6(6): 442-448 (2008) - [c16]Sylvain Castagnos, Armelle Brun, Anne Boyer:
Probabilistic Reinforcement Rules for Item-Based Recommender Systems. ECAI 2008: 823-824 - [c15]Sylvain Castagnos, Armelle Brun, Anne Boyer:
Probabilistic Association Rules for Item-Based Recommender Systems. STAIRS 2008: 36-46 - [c14]Geoffray Bonnin, Armelle Brun, Anne Boyer:
Using Skipping for Sequence-Based Collaborative Filtering. Web Intelligence 2008: 775-779 - 2007
- [c13]Anne Boyer, Armelle Brun:
Natural Language Processing for Usage Based Indexing of Web Resources. ECIR 2007: 517-524 - [c12]Anne Boyer, Armelle Brun:
Towards a statistical grammar of usage for document retrieval in digital libraries. ISSPA 2007: 1-4 - [c11]Armelle Brun, David Langlois, Kamel Smaïli:
Improving language models by using distant information. ISSPA 2007: 1-4 - [c10]Armelle Brun, Anne Boyer:
Usage based Indexing of Web Resources with Natural Language Processing. WEBIST (2) 2007: 220-225 - 2006
- [c9]Armelle Brun, David Langlois, Kamel Smaïli:
Exploration et utilisation d'informations distantes dans les modèles de langage statistiques. TALN (Posters) 2006: 425-434 - 2004
- [c8]Armelle Brun, Kamel Smaïli:
Fiabilité de la référence humaine dans la détection de thème. TALN (Articles longs) 2004: 259-268 - 2003
- [b1]Armelle Brun:
Détection de thème et adaptation des modèles de langage pour la reconnaissance automatique de la parole. Henri Poincaré University, Nancy, France, 2003 - [c7]Armelle Brun, Kamel Smaïli, Jean-Paul Haton:
Nouvelle approche de la sélection de vocabulaire pour la détection de thème. TALN (Articles longs) 2003: 45-54 - 2002
- [c6]Armelle Brun, Kamel Smaïli, Jean Paul Haton:
Contribution to topic identification by using word similarity. INTERSPEECH 2002: 1965-1968 - [c5]Armelle Brun, Kamel Smaïli, Jean-Paul Haton:
WSIM : une méthode de détection de thème fondée sur la similarité entre mots. TALN (Articles longs) 2002: 146-155 - 2001
- [c4]Brigitte Bigi, Armelle Brun, Jean Paul Haton, Kamel Smaïli, Imed Zitouni:
A Comparative Study of Topic Identification on Newspaper and E-mail. SPIRE 2001: 238-241 - 2000
- [c3]Armelle Brun, David Langlois, Kamel Smaïli, Jean Paul Haton:
Discarding impossible events from statistical language models. INTERSPEECH 2000: 981-984 - [c2]Armelle Brun, Kamel Smaïli, Jean Paul Haton:
Experiment Analysis in Newspaper Topic Detection. SPIRE 2000: 55-64
1990 – 1999
- 1999
- [c1]Kamel Smaïli, Armelle Brun, Imed Zitouni, Jean Paul Haton:
Automatic and manual clustering for large vocabulary speech recognition: a comparative study. EUROSPEECH 1999: 1795-1798
Coauthor Index
[c75] [c73] [c71] [c64] [i4] [j8] [i3] [i2] [j7] [j6] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [p1] [j5] [j4] [c42] [j3] [j2] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j1] [c16] [c15] [c14] [c13] [c12] [c10]
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