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Research and innovation
Students interested in pursuing research in one or more of the following areas, please contact professor Sabourin at
Adaptive biometric systems,
Dynamic selection of classifiers,
Adaptive and evolutive surveillance systems in dynamic environments,
Evolutionary algorithms for multi-criteria optimization of dynamic problems,
Recognition of biological objects.
Current proposed projects:
Adaptive one-class classifier ensembles for anomaly detection.
Multiple Classification System in Dynamic Environments.
Adaptive Fusion for Face Recognition in Video Surveillance.
Medical image segmentation using machine learning techniques.
Probabilistic tractography approach for brain connectivity analysis.
Abnormal activity detection in real-time RFID data.
Brain development analysis for the detection of neurological diseases.
* Financial support is available for the projects' duration (maximum of 4 years).