"Randomization in Case-Based Reasoning”, Miled Besma Bentaiba-Lagrid. Defended in July 2021.
Master students
"A Fully Secure Approach to Privacy-Preserving Machine Learning for Satellite Image Classification", Joseph R. O'Neil, Acadia University. Defended in June 2024.
“Neural Architecture Search (NAS) with Randomization for an optimal CNN dedicated to mammography mass detection”, ESI, Katia Benali. Defended in July 2022.
“Circumventing IDS adversarial attacks”, Dalila Khettaf, Defended in July 2022.
“NeuroMem chip mammography mass detection using clustering”, Demil Soumeya, ESI. Defended in July 2022.
“Clustering with missing data in the context of homomorphic encryption”, Aziz Rezak, in co-supervision, ESI. Defended in September 2022.
“Semantic graphs for representing image object interaction”, Nadir Hammouche. Defended in December 2020.
“DL and NeuroMemChip for medical image classification”, Amine Hamza Yaker. Defended in September 2020
“Adversarial Machine Learning Against Anomaly-based Intrusion Detection Systems”. Amine Merzouk, Defended in September 2020.
"DL and CBR for an efficient CAD dedicated to breast cancer detection from mammograms”. Lahcen Yamoun, Mustapha Yacine Khodja. Defended in June 2020.
“DL architecture for false positive reduction in IDS Anomaly Detection”, Sara Kebir, Defended in July 2020.
“Handling missing data for weather prediction”, Boughrara Nesrine. Defended in September 2019.
"Towards an optimal DL architecture for tumors classification in medical image processing“, Benaida Amel. Defended in September 2019
“DL for Anomaly Detection in a host IDS environment”, Belaidi Kahina, Haddar Nour El Houda, Defended in June 2019
“Merging multi sources beliefs and preferences, applied to alert correlation”. Nacer-Eddine Rim, Zakaria Mellal, Defended in June 2016.