Parties d’ouvrages/Contribution à des ouvrages collectifs
Cools, A., Belarbi, M. A., & MAHMOUDI, S. (2025). CAReNet: A Promising AI Architecture for Low Data Regime Mixing Convolutions and Attention. In "Lecture Notes in Networks and Systems". Springer Nature Switzerland. doi:10.1007/978-3-031-78698-3_3
Colloques et congrès scientifiques/Communication publiée dans un périodique
Equeter, L., Cools, A., Cultrera, L., Dupont, N., Fays, V., Giancola, K., Gillet, M., Glineur, C., Heyman, M., Invernizzi, S., Lucassen, L., Main, J., Mégret, A., Menet, Q., Mincheva, R., Pirson, F., Sobczak, F., Thiebault, F., Vachaudez, A., ... Vitry, V. (2024). Abstract book du Mardi des Chercheurs 2024. "Abstract book du Mardi des Chercheurs".
Belarbi, M. A., Mahmoudi, S., Belalem, G., Mahmoudi, S., & Cools, A. (June 2022). A New Comparative Study of Dimensionality Reduction Methods in Large-Scale Image Retrieval. "Big Data and Cognitive Computing, 6" (2), 54. doi:10.3390/bdcc6020054
Cools, A., Belarbi, M. A., & Mahmoudi, S. (27 April 2022). A Comparative Study of Reduction Methods applied on a Convolutional Neural Network. "Electronics, 11" (9).
Conférences scientifiques dans des universités ou centres de recherche/Conférence scientifique dans des universités ou centres de recherche
Cools, A.* , & Mahmoudi, S. (26 July 2022). "Towards less dependent deep learning models in terms of input data, labels and output descriptors" [Paper presentation]. DeepLearn 2022 Summer, Gran Canaria, Spain.
Cools, A., & Mahmoudi, S. (30 March 2022). "Reduction of dimension applied to convolutional neural networks applied for content-based image retrieval engines" [Paper presentation]. Infortech Day, Mons, Belgium.