![]() ![]() | 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 ![]() |
![]() ![]() | 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. |
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. |
![]() ![]() | 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). ![]() |
![]() ![]() | 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. |