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Cools Aurélie

Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Main Referenced Co-authors
MAHMOUDI, Sidi  (7)
Belarbi, Mohammed Amin (2)
Belarbi, Mohammed Amin  (2)
Belalem, Ghalem (1)
CULTRERA, Loredana  (1)
Main Referenced Keywords
Artificial Intelligence (1); binary tree (1); Computer Science Applications (1); image retrieval (1); indexing image (1);
Main Referenced Disciplines
Computer science (7)
Education & instruction (1)

Publications (total 8)

The most downloaded
730 downloads
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. https://hdl.handle.net/20.500.12907/48945

The most cited

4 citations (Scopus®)

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). https://hdl.handle.net/20.500.12907/42630

Cools, A., Stassin, S., & Mahmoudi, S. (2026). The Threshold Paradox: Why Calibrating on the Test Set Introduces Bias in Anomaly Detection. Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 475-482. doi:10.5220/0014392600004084
Peer reviewed

Cools, A., Belarbi, M. A., & MAHMOUDI, S. (13 May 2025). Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations. Big Data and Cognitive Computing, 9 (5), 128. doi:10.3390/bdcc9050128
Peer Reviewed verified by ORBi

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
Peer reviewed

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
Peer Reviewed verified by ORBi

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).
Peer reviewed

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.

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