Anne Boyer

According to our database1, Anne Boyer authored at least 127 papers between 1987 and 2024.

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

Timeline

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Bibliography

2024
Helping Teachers Trust AI Tools in Their Work.
Proceedings of the 16th International Conference on Computer Supported Education, 2024

Towards an Online Incremental Approach to Predict Students Performance.
Proceedings of the 16th International Conference on Computer Supported Education, 2024

2023
How to Generate Early and Accurate Alerts of At-Risk of Failure Learners?
Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

IArch: An AI Tool for Digging Deeper into Archaeological Data.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

How Far Can We Trust the Predictions of Learning Analytics Systems?
Proceedings of the 15th International Conference on Computer Supported Education, 2023

2022
Using Behavioral Primitives to Model Students' Digital Behavior.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 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

Toward An Early Risk Alert In A Distance Learning Context.
Proceedings of the International Conference on Advanced Learning Technologies, 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

When and How to Update Online Analytical Models for Predicting Students Performance?
Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

A New Way to Characterize Learning Datasets.
Proceedings of the 14th International Conference on Computer Supported Education, 2022

Assess Performance Prediction Systems: Beyond Precision Indicators.
Proceedings of the 14th International Conference on Computer Supported Education, 2022

A Dynamic Indicator to Model Students' Digital Behavior.
Proceedings of the 14th International Conference on Computer Supported Education, 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

Learning Profiles to Assess Educational Prediction Systems.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Combining Artificial Intelligence and Edge Computing to Reshape Distance Education (Case Study: K-12 Learners).
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
1st International Workshop on Learning Path Recommender Systems.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Learning Path Recommender Systems: A Systematic Mapping.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

An In-Depth Methodology to Predict At-Risk Learners.
Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

Measuring and Predicting Students' Effort: A Study on the Feasibility of Cognitive Load Measures to Real-Life Scenarios.
Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

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

BacAnalytics: A Tool to Support Secondary School Examination in France.
Proceedings of the Intelligent Systems in Industrial Applications, 2020

Towards the exploitation of multimodal data to measure students' mental effort.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

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

An Operational Framework for Evaluating the Performance of Learning Record Stores.
Proceedings of the Addressing Global Challenges and Quality Education, 2020

A big data architecture to a multiple purpose in healthcare surveillance: the Brazilian syphilis case.
Proceedings of the EATIS 2020: 10th Euro American Conference on Telematics and Information Systems, 2020

Strategies for content recommendation in the Brazilian rapid response to syphilis project.
Proceedings of the EATIS 2020: 10th Euro American Conference on Telematics and Information Systems, 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

AntRS: Recommending Lists Through a Multi-objective Ant Colony System.
Proceedings of the Advances in Information Retrieval, 2019

Eye Gaze Sequence Analysis to Model Memory in E-education.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
First Attempt to Predict User Memory from Gaze Data.
Int. J. Artif. Intell. Tools, 2018

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

Are Item Attributes a Good Alternative to Context Elicitation in Recommender Systems?
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A New Statistical Density Clustering Algorithm based on Mutual Vote and Subjective Logic Applied to Recommender Systems.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 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
Modéliser la diversité au cours du temps pour détecter le contexte dans un service de musique en ligne.
Tech. Sci. Informatiques, 2016

Tell Me What You See, I Will Tell You What You Remember.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

The New Challenges when Modeling Context through Diversity over Time in Recommender Systems.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

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

A First Step toward Recommendations Based on the Memory of Users.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 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

Learning analytics: European perspectives.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 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

Toward a Robust Diversity-Based Model to Detect Changes of Context.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 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

Studying Relations Between E-learning Resources to Improve the Quality of Searching and Recommendation.
Proceedings of the CSEDU 2015, 2015

2014
Rocchio Algorithm to Enhance Semantically Collaborative Filtering.
Proceedings of the Web Information Systems and Technologies, 2014

User Semantic Model for Dependent Attributes to Enhance Collaborative Filtering.
Proceedings of the WEBIST 2014, 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

Understanding Usages by Modeling Diversity over Time.
Proceedings of the Posters, 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

Learning Resource Recommendation: An Orchestration of Content-Based Filtering, Word Semantic Similarity and Page Ranking.
Proceedings of the Open Learning and Teaching in Educational Communities, 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

Local Trust Versus Global Trust Networks in Subjective Logic.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 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

Hybridising Collaborative Filtering and Trust-aware Recommender Systems.
Proceedings of the WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18, 2012

Clustering Users to Explain Recommender Systems' Performance Fluctuation.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 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

User Semantic Preferences for Collaborative Recommendations.
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

Analyzing Recommender System's Performance Fluctuations across Users.
Proceedings of the Multidisciplinary Research and Practice for Information Systems, 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

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

Poursuite de cibles dans l'espace de recommandation - vers un nouveau système de recommandation basé sur le filtrage de Kalman.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2011

2010
A new Recommender system based on target tracking: a Kalman Filter approach
CoRR, 2010

Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering
CoRR, 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
The PARAChute Project: Remote Monitoring of Posture and Gait for Fall Prevention.
EURASIP J. Adv. Signal Process., 2007

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

Adaptive Predictions in a User-centered Recommender System.
Proceedings of the WEBIST 2007, 2007

Modeling Preferences in a Distributed Recommender System.
Proceedings of the User Modeling 2007, 11th International Conference, 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

Personalized Communities in a Distributed Recommender System.
Proceedings of the Advances in Information Retrieval, 2007

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

2006
FRAC+: A Distributed Collaborative Filtering Model for Client/Server Architectures.
Proceedings of the WEBIST 2006, 2006

A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
A Distributed Information Filtering: Stakes and Solution for Satellite Broadcasting.
Proceedings of the WEBIST 2005, 2005

ELIN: A Framework to Deliver Media Content in an Efficient Way Based in MPEG Standards.
Proceedings of the 2005 IEEE International Conference on Web Services (ICWS 2005), 2005

2004
Towards gait modeling for fall prevention.
Proceedings of the Tele-Care and Collaborative Virtual Communities in Elderly Care, 2004

2003
Learning of Mediation Strategies for Heterogeneous Agents Cooperation.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

2002
Towards bringing heterogeneous agents to cooperation: an architecture for multimedia services.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001
Managing services connected to new educative technologies in a medium size university.
Proceedings of the Changing Universities, 2001

1997
Progress: An Approach for Defining and Monitoring Non-Deterministic Design-to-Time Methods.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

1992
Hand-written text recognition based on a new formulation.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
A tool for assessment of acoustic phonetic lattices.
Proceedings of the Second European Conference on Speech Communication and Technology, 1991

1989
Parallel construction of syntactic structure for continuous speech recognition.
Proceedings of the First European Conference on Speech Communication and Technology, 1989

Phonetic decoder assessment.
Proceedings of the First European Conference on Speech Communication and Technology, 1989

1987
Dynamic time warping and vector quantization in isolated and connected word recognition.
Proceedings of the European Conference on Speech Technology, 1987


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