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In the 2000's, my research was more dedicated to bio-inspired methods than now. I studied 3 main computing models from the observation of real ants (assembly behavior, nestmate identification (based on odor), hunting/moving strategies). In parallel, I developed a great interest for human computer interactions, complex data visualization and mining, 3D data and interfaces. In the 90's, I was working on Genetic algorithms (my PhD was the second in this aera in France) and Machine learning (reinforcement learning, adaptive robotics, etc).
Modeling the ants self-assembly behavior to build proximity graphs (incl. PhD of Julien Lavergne).
Modeling the ants self-assembly behavior to build proximity graphs (incl. PhD of Julien Lavergne).
Hanane Azzag, Christiane Guinot, Gilles Venturini: An artificial ants model for fast construction and approximation of proximity graphs. Adaptive Behaviour 20(6): 443-459 (2012)
Julien Lavergne, Hanane Azzag, Christiane Guinot, Gilles Venturini: Incremental Construction of Neighborhood Graphs Using the Ants Self-Assembly Behavior. ICTAI (1) 2007: 399-406
Visual and interactive exploration of stereoscopic images + camera calibration with genetic algorithms (PhD of Karim Benzeroual).
Visual and interactive exploration of stereoscopic images + camera calibration with genetic algorithms (PhD of Karim Benzeroual).
This work was funded by the CERIES and the FEDER/RĂ©gion Centre Val de Loire. In this picture we used our system to measure the size of an hemangioma on a child face.
Karim Benzeroual, Mohammed Haouach, Christiane Guinot, Gilles Venturini: A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images. AIME 2009: 156-160
Karim Benzeroual, Christiane Guinot, Gilles Venturini: An Evolutionary Algorithm for the Calibration of Stereoscopic Cameras. GEM 2009: 48-53.
A clustering algorithm based on flocking behavior.
A clustering algorithm based on flocking behavior.
Fabien Picarougne, Hanene Azzag, Gilles Venturini, Christiane Guinot: A New Approach of Data Clustering Using a Flock of Agents. Evolutionary Computation 15(3): 345-367 (2007)
Using the ants self-assembly behavior to cluster data and build a hierarchical structure (PhD of Hanane Azzag).
Using the ants self-assembly behavior to cluster data and build a hierarchical structure (PhD of Hanane Azzag).
Hanene Azzag, Gilles Venturini, Antoine Oliver, Christiane Guinot: A hierarchical ant based clustering algorithm and its use in three real-world applications. European Journal of Operational Research 179(3): 906-922 (2007)
A method to visualize and interact with large datasets (PhD of David Da Costa).
A method to visualize and interact with large datasets (PhD of David Da Costa).
David Da Costa, Gilles Venturini: An Interactive Visualization Environment for Data Exploration Using Points of Interest. ADMA 2006: 416-423
Building visual and interactive maps of data or documents with cellular automata.
Building visual and interactive maps of data or documents with cellular automata.
Hanene Azzag, David Ratsimba, David Da Costa, Christiane Guinot, Gilles Venturini: On Building Maps of Web Pages with a Cellular Automaton. BICC 2006: 33-42
Clustering data using a model of the ants chemical recognition system (PhD of Nicolas Labroche).
Clustering data using a model of the ants chemical recognition system (PhD of Nicolas Labroche).
Nicolas Labroche, Christiane Guinot, Gilles Venturini: Fast Unsupervised Clustering with Artificial Ants. PPSN 2004: 1143-1152
To be completed soon.
To be completed soon.
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