Randa Kassab

According to our database, Randa Kassab authored at least 10 papers between 2005 and 2015.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2015

A Modular Network Architecture Resolving Memory Interference Through Inhibition.

Randa Kassab, Frédéric Alexandre

Proceedings of the Computational Intelligence - International Joint Conference, 2015

A Heteroassociative Learning Model Robust to Interference.

Randa Kassab, Frédéric Alexandre

Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014

Feature, Configuration, History - A Bio-inspired Framework for Information Representation in Neural Networks.

Frédéric Alexandre, Maxime Carrere, Randa Kassab

Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2009

Analyse des propriétés stationnaires et des propriétés émergentes dans les flux d'informations changeant au cours du temps. (Analysis of stationary and emerging properties in information flows changing over time).

Randa Kassab

PhD thesis, 2009

Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data.

Randa Kassab, Frédéric Alexandre

Mach. Learn., 2009

2007

Towards a synthetic analysis of user's information need for more effective personalized filtering services.

Randa Kassab, Jean-Charles Lamirel

Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

2006

An innovative approach to intelligent information filtering.

Randa Kassab, Jean-Charles Lamirel

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

A new approach to intelligent text filtering based on novelty detection.

Randa Kassab, Jean-Charles Lamirel

Proceedings of the Database Technologies 2006, 2006

2005

Novelty Detection for Modeling User's Profile.

Randa Kassab, Jean-Charles Lamirel, Emmanuel Nauer

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Une nouvelle approche pour la modélisation du prol de l'utilisateur dans les systèmes de filtrage d'information basés sur le contenu: le modèle de filtre détecteur de nouveauté.

Randa Kassab, Jean-Charles Lamirel, Emmanuel Nauer

Proceedings of the COnférence en Recherche d'Infomations et Applications, 2005