  | Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (In press). Explainable Deep Learning for Covid-19 detection using chest X-ray and CT images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. doi:10.1007/978-3-030-72752-9_16  Peer reviewed |
 | Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (In press). Multimedia Processing using Deep Learning Technologies, HPC, Cloud Resources and Big Data Volumes. Concurrency and Computation: Practice and Experience. Peer reviewed vérifié par ORBi |
  | KACHER Abdelhafidh, MERATI Medjeded, & Mahmoudi, S. (2023). Malignant and benign classification of multi-view mammograms using a system of parallel pre-trained models. ICKDM’2023 - International Conference on Knowledge Data Management. Peer reviewed |
Mahmoudi, S. (11 December 2023). Computer-aided diagnosis with Federated Learning: the case of breast cancer screening (plenary session) [Paper presentation]. International Conference on Knowledge Data Management ICKDM’2023, Tiaret, Algeria. |
 | CHAHBAR Fatma, MEDJEDED Merati, Mahmoudi, S., & BAGHDADI Mohamed. (2023). Classification of Brain Tumors on Magnetic Resonance Imaging by Using Convolutional Neural Networks and Transfer Learning. ICKDM’2023 - International Conference on Knowledge Data Management. Peer reviewed |
 | Ammar, M., Messaoudi, N., Faked, D., Noui, R., & Mahmoudi, S. (11 July 2023). Smart Embedded System for Sleep Apnea Monitoring From ECG Signals. AIP Conference Proceedings, 2814 (1). doi:10.1063/5.0148843 Peer reviewed vérifié par ORBi |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2023). Single Node Deep Learning Frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience. Peer reviewed vérifié par ORBi |
Mahmoudi, S. (03 May 2023). Les objets connectés dans l’élevage, quels effets sur le rendement [Paper presentation]. Salon international de l'agriculture Numide, Constantine, Algérie, Constantine, Algeria. |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (01 February 2023). Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis. Concurrency and Computation: Practice and Experience, 35 (14). Peer reviewed vérifié par ORBi |
 | Belgacem, A., Mahmoudi, S., & Ferrag, M. A. (2023). A machine learning model for improving virtual machine migration in cloud computing. Journal of Supercomputing. doi:10.21203/rs.3.rs-1819400/v1 Peer reviewed vérifié par ORBi |
 | Laidi, A., Ammar, M., Daho, M., & Mahmoudi, S. (2023). GAN Data Augmentation for Improved Automated Atherosclerosis Screening from Coronary CT Angiography. EAI Endorsed Transactions on Scalable Information Systems, 173981. doi:10.4108/eai.17-5-2022.173981 Peer reviewed vérifié par ORBi |
 | Amel, L., Ammar, M., El Habib Daho, M., & Mahmoudi, S. (15 January 2023). Toward an automatic detection of cardiac structures in short and long axis views. Biomedical Signal Processing and Control, 79, 104187. doi:10.1016/j.bspc.2022.104187 Peer reviewed vérifié par ORBi |
 | Piérard, S. B., Cioppa, A., Halin, A. S., Vandeghen, R., Zanella, M., Macq, B. T., Mahmoudi, S., & Van Droogenbroeck, M. (2023). Mixture Domain Adaptation To Improve Semantic Segmentation in Real-World Surveillance. IEEE Access, 22-31. Peer reviewed vérifié par ORBi |
 | Maatoug, A., Belalem, G., & Mahmoudi, S. (02 January 2023). A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects. Frontiers of Computer Science, 17 (2), 172501. doi:10.1007/s11704-021-0375-z Peer reviewed |
 | LACHEMI, N. S., MERATI Medjeded, & Mahmoudi, S. (2023). Optimizing Web Service Access Using Rule-Based AI. ICKDM’2023 - International Conference on Knowledge Data Management. Peer reviewed |
 | Ait Abdelouahid, R., Debauche, O., Mahmoudi, S., & Marzak, A. (2023). Literature Review: Clinical Data Interoperability Models. Information, 14 (7). Peer reviewed vérifié par ORBi |
 | Laidi, A., Ammar, M., Daho, M. E. H., & Mahmoudi, S. (21 December 2022). Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography. Current Medical Imaging Reviews, 19. doi:10.2174/1573405619666221221092933 Peer reviewed vérifié par ORBi |
Chinmay Chakraborty, Mario José Diván, & Mahmoudi, S. (Eds.). (2022). Special Issue - Journal : Multimedia Tools and Applications - Multimedia medical data-driven decision making. Springer. Peer reviewed |
 | Lessage, X., Michal, N., Mahmoudi, S., Lilian, M., Debauche, O., & Mahmoudi, S. (2022). A new coronary artery stenosis detection method with a Hybrid LSTM-CNN model. Lecture Notes in Networks and Systems. Peer reviewed |
Mahmoudi, S. (13 November 2022). Technologies IoT et Smart Farming : application à la digitalisation du secteur laitier [Paper presentation]. Workshop SMART FARMING II, Oran, Algeria. |
 | Seddati, O., Dupont, S., Mahmoudi, S., & Dutoit, T. (2022). Towards Human Performance on Sketch-Based Image Retrieval. In Proceedings of 19th International Conference on Content-based Multimedia Indexing, CBMI 2022. Association for Computing Machinery. doi:10.1145/3549555.3549582 Peer reviewed |
 | Seddati, O., Dupont, S., Mahmoudi, S., & Dutoit, T. (2022). Transformers and CNNs both Beat Humans on SBIR. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/43859. doi:10.48550/arXiv.2209.06629 |
 | DEBAUCHE, O.* , Nkamla Penka, J. B.* , Mahmoudi, S., Lessave, X., HANI, M., Manneback, P., Kanku Lufuluabu, U., Bert, N., Messaoudi, D., & Guttadauria, A. (07 September 2022). RAMi: A New Real-Time Internet of Medical Things Architecture for Elderly Patient Monitoring. Information, 13 (9), 423. doi:10.3390/info13090423 Peer reviewed vérifié par ORBi* Ces auteurs ont contribué de façon équivalente à la publication. |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (06 September 2022). Apprentissage profond distribué : d’un seul nœud vers plusieurs nœuds de calcul [Poster presentation]. Mardi des chercheurs, Mons, Belgium. |
 | Berrani, S., Yachir, A., Djamaa, B., Mahmoudi, S., & Aissani, M. (September 2022). Towards a new semantic middleware for service description, discovery, selection, and composition in the Internet of Things. Transactions on Emerging Telecommunications Technologies, 33 (9). doi:10.1002/ett.4544 Peer reviewed vérifié par ORBi |
 | Ammar, M., & Mahmoudi, S. (August 2022). A NEW STRATEGY FOR AUTOMATIC BREAST CANCER SEGMENTATION IN MRI IMAGES. Journal of Mechanics in Medicine and Biology, 22 (6). doi:10.1142/S0219519422500555 Peer reviewed vérifié par ORBi |
 | Plum, J., Dufrasne, I., Quoitin, B., Mahmoudi, S., & Frédéric, L. (2022). Development and evaluation of an autonomous and automatic monitoring system for grazing cattle. In Precision livestock farming '22. Vienne, Austria: D. Berckmans, M.Oczak, M. Iwersen, K. Wagener. Peer reviewed |
 | Lessage, X., Benzaouia, H., Murgo, S., Mahmoudi, S., Mahmoudi, S., & Guessoum, Z. (2022). Deep Convolutional Neural Networks (CNN) for lesions localization of in mammograms. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Belgacem, A., Mahmoudi, S., & Kihl, M. (June 2022). Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing. Journal of King Saud University - Computer and Information Sciences, 34 (6), 2391 - 2404. doi:10.1016/j.jksuci.2022.03.016 Peer reviewed vérifié par ORBi |
 | 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 vérifié par ORBi |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (2022). Distributed Deep Learning: From Single-Node to Multi-Node Architecture. Electronics. doi:10.3390/electronics11101525 Peer reviewed vérifié par ORBi |
 | Messadi, M., Mahmoudi, S., & Bessaid, A. (May 2022). ANALYSIS OF SPECIFIC PARAMETERS FOR SKIN TUMOR CLASSIFICATION. Journal of Mechanics in Medicine and Biology, 22 (4). doi:10.1142/S0219519422500178 Peer reviewed vérifié par ORBi |
 | Tadrist, N., Mahmoudi, S., Debauche, O., & Guttadauria, A. (2022). Towards Low-Cost IoT and LPWAN-Based Flood Forecast and Monitoring System. International Journal of Ubiquitous Systems and Pervasive Networks. doi:10.5383/JUSPN.17.01.006 Peer reviewed vérifié par ORBi |
 | Nkamla Penka, J. B., Mahmoudi, S., & Debauche, O. (2022). An Optimized Kappa Architecture for IoT Data Management in Smart Farming. International Journal of Ubiquitous Systems and Pervasive Networks. doi:10.5383/JUSPN.17.02.002 Peer reviewed vérifié par ORBi |
 | Debauche, O., Mahmoudi, S., & Guttadauria, A. (2022). A new edge computing architecture for IoT and multimedia data management. Information. doi:10.3390/info13020089 Peer reviewed vérifié par ORBi |
 | Berrani, S., Yachir, A., Mahmoudi, S., Badis, D., & Aissani, M. (01 January 2022). Towards a New Semantic Model for Service-Based IoT Applications. Journal of Information Science and Engineering, 38 (1), 83-100. Peer reviewed |
Mahmoudi, S. (Ed.). (2022). Computer Analysis of Images and Patterns for Large-Scale Multimedia Database Management. Switzerland: MDPI - Journal "Information". Peer reviewed |
 | Mahmoudi, S., & Belarbi, M. A. (2022). Large Scale Multimedia Management: Recent Challenges. Information, 13 (1), 28. doi:10.3390/info13010028 Peer reviewed |
 | Nedjar, I., Chikh, M. A., & Mahmoudi, S. (2022). A topological approach for mammographic density classification using a modified synthetic minority over-sampling technique algorithm. International Journal of Biomedical Engineering and Technology, 38 (2), 193. doi:10.1504/ijbet.2022.10045038 Peer reviewed |
 | Chakraborty, C., Diván, M. J., & Mahmoudi, S. (2022). Multimedia medical data-driven decision making. Multimedia Tools and Applications, 81 (29), 41781 - 41783. doi:10.1007/s11042-022-14201-3 Peer reviewed vérifié par ORBi |
 | El Amine Lazouni, M., Messadi, M., Feroui, A., & Mahmoudi, S. (2022). EARLY KERATOCONUS DISEASE DETECTION USING ORBSCAN II CORNEAL TOPOGRAPHY. Journal of Mechanics in Medicine and Biology, 23 (1). doi:10.1142/S021951942350001X Peer reviewed vérifié par ORBi |
 | Plum, J., Dufrasne, I., Quoitin, B., Mahmoudi, S., & Lebeau, F. (2022). Use of watering hole data as a decision support tool for the management of a grazing herd of cattle. In ICPA Proceedings. United States: International society of precision agriculture. |
 | Ammar, M., Lamri, M. A., Mahmoudi, S., & Laidi, A. (13 November 2021). Deep Learning Models for Intracranial Hemorrhage Recognition: A comparative study. Procedia Computer Science, 196, 418-425. doi:10.1016/j.procs.2021.12.031 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Manneback, P., & Lebeau, F. (2021). Cloud and Distributed Architectures for Data Management in Agriculture 4.0 : Review and Future Trends. Journal of King Saud University - Computer and Information Sciences. doi:10.1016/j.jksuci.2021.09.015 Peer reviewed vérifié par ORBi |
 | Belgacem, A., Beghdad-Bey, K., & Mahmoudi, S. (2021). New virtual machine placement approach based on the micro genetic algorithm in cloud computing [Paper presentation]. International Conference on Future Internet of Things and Cloud, Rome, Italy. |
 | Nkamla Penka, J. B., Mahmoudi, S., & Debauche, O. (2021). A new Kappa Architecture for IoT Data Management in Smart Farming. Procedia Computer Science, (191), 17-24. doi:10.1016/j.procs.2021.07.006 Peer reviewed |
Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (27 July 2021). Deep Learning Frameworks: Performances Analysis [Paper presentation]. DeepLearn, Las Palmas de Gran Canaria, Spain. |
 | Debauche, O., El Moulat, M., Mahmoudi, S., Bindelle, J., & Lebeau, F. (30 June 2021). Farm Animals' Behaviors and Welfare Analysis with AI Algorithms: A Review. Revue d'Intelligence Artificielle, 35 (3). doi:10.18280/ria.350308 Peer reviewed vérifié par ORBi |
 | Mahmoudi, S., Lessage, X., Giudice, F., Murgo, S., & Mahmoudi, S. (24 June 2021). Breast cancer detection in digital mammography with convolutional neural network: retrospective study in Belgium. International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), 69-70. Peer reviewed vérifié par ORBi |
 | Garg, L., Chakraborty, C., Mahmoudi, S., & Sohmen, V. S. (2021). Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. |
 | Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (2021). Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 323-338). Springer. |
 | Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (21 June 2021). Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI). International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), 64-65. Peer reviewed vérifié par ORBi |
 | Debauche, O., Trani, J.-P., Mahmoudi, S., Manneback, P., Bindelle, J., Mahmoudi, S., Guttadauria, A., & Lebeau, F. (09 June 2021). Data Management and Internet of Things : A Methodological Review in Smart Farming. Internet of Things, 14. Peer reviewed |
 | Lerat, J.-S., Mahmoudi, S., & Mahmoudi, S. (30 March 2021). Comparaison des frameworks d'apprentissage profond sur un seul noeud de calcul [Poster presentation]. Mardi des Chercheurs, Virtual Meeting, Unknown/unspecified. |
 | Lessage, X., Mahmoudi, S., Mahmoudi, S., Laraba, S., Debauche, O., & Belarbi, M. A. (2021). Chest X-ray images analysis with Deep Convolutional Neural Networks (CNN) for COVID-19 detection. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 405-425). Springer. doi:10.1007/978-3-030-72752-9_21 |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (2021). A new Collaborative Platform for Covid-19, Benchmark Datasets. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. doi:10.1007/978-3-030-72752-9_12 |
 | El Moulat, M., Debauche, O., Mahmoudi, S., Mahmoudi, S., Guttadauria, A., Manneback, P., & Lebeau, F. (10 March 2021). Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence. International Journal of Ubiquitous Systems and Pervasive Networks, 15 (5), 11-17. Peer reviewed |
 | Laabassi, K., Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Ferhat, K. (01 March 2021). Wheat varieties identification based on a deep learning approach. Journal of the Saudi Society of Agricultural Sciences, 20 (5), 281-289. Peer reviewed vérifié par ORBi |
 | Maatoug, A., Belalem, G., & Mahmoudi, S. (2021). A location-based fog computing optimization of energy management in smart buildings: DEVS modeling and design of connected objects. Frontiers of Computer Science. Peer reviewed |
 | Nasser, S., Naoui, M., Belalem, G., & Mahmoudi, S. (11 January 2021). Semantic Segmentation of Hippocampal Subregions with U-Net Architecture. International Journal of E-Health and Medical Communications, 12 (Issue: 6 - Article: 4). Peer reviewed |
 | Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., Belalem, G., & Manneback, P. (21 December 2020). Multimedia processing using deep learning technologies, highperformance computing cloud resources, and Big Data volumes. Concurrency and Computation: Practice and Experience, 32 (17). Peer reviewed vérifié par ORBi |
 | Nolack Fote, F., Roukh, A., Mahmoudi, S., Mahmoudi, S., & Debauche, O. (2020). Toward a Big Data Knowledge-Base Management System for Precision Livestock Farming. Procedia Computer Science. Peer reviewed |
Nolack Fote, F., Mahmoudi, S., Mahmoudi, S., & Roukh, A. (2020). Big Data Storage and Analysis for Smart Farming [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
 | Debauche, O., Mahmoudi, S., De Cock, N., Mahmoudi, S., Manneback, P., & Lebeau, F. (15 November 2020). Cloud Architecture For Plant Phenotyping Research. Concurrency and Computation: Practice and Experience, 32 (17). doi:10.1002/cpe.5661 Peer reviewed vérifié par ORBi |
 | El Moulat, M., Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 November 2020). Edge Computing and Artificial Intelligence for Landslides Monitoring. Procedia Computer Science, 177, 480-487. doi:10.1016/j.procs.2020.10.066 Peer reviewed |
 | Roukh, A., Nolack Fote, F., Mahmoudi, S., & Mahmoudi, S. (2020). Big Data Processing Architecture for Smart Farming. Procedia Computer Science. doi:10.1016/j.procs.2020.10.014 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (02 November 2020). A new Collaborative Platform for Research in Smart Farming. Procedia Computer Science, 177, 450-455. doi:10.1016/j.procs.2020.10.061 Peer reviewed |
 | Debauche, O., Ait Abelouahid, R., Mahmoudi, S., Moussaoui, Y., Marzak, A., & Manneback, P. (2020). RevoCampus: a distributed open source and low-cost smart campus [Paper presentation]. The 3rd International Conference on Advanced Communication Technologies and Networking (CommNet 2020), Marrakech, Morocco. doi:10.1109/CommNet49926.2020.9199640 |
 | Ait Abelouahid, R., Debauche, O., Mahmoudi, S., Marzak, A., Manneback, P., & Lebeau, F. (2020). Smart Nest Box: IoT based Nest monitoring in artificial cavities [Paper presentation]. The 3rd International Conference on Advanced Communication Technologies and Networking (CommNet 2020), Marrakech, Morocco. doi:10.1109/CommNet49926.2020.9199624 |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 August 2020). Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure. Procedia Computer Science, 175, 542-547. doi:10.1016/j.procs.2020.07.077 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., Bindelle, J., & Lebeau, F. (12 August 2020). Edge Computing and Artificial Intelligence for Real-time Poultry Monitoring. Procedia Computer Science, 175, 534-541. doi:10.1016/j.procs.2020.07.076 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., & Lebeau, F. (12 August 2020). Edge AI-IoT (AIoT) Architecture. Procedia Computer Science, 175, 10-19. doi:10.1016/j.procs.2020.07.006 Peer reviewed |
Roukh, A., Nolack Fote, F., Mahmoudi, S., & Mahmoudi, S. (2020). WALLeSMART: Cloud Platform for Smart Farming [Paper presentation]. International Conference on Statistical and Scientific Database Management, 2020, Austria. |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., El Moulat, M., Manneback, P., & Lebeau, F. (02 July 2020). Edge AI-IoT Pivot Irrigation, Plant Diseases and Pests Identification. Procedia Computer Science, 177. doi:10.1016/j.procs.2020.10.009 Peer reviewed |
 | Lessage, X., Nedoszytko, M., Piussi, C., Mahmoudi, S., & Mahmoudi, S. (2020). Deep Convolutional Neural Networks (CNN) for classification of coronary arteries. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Giudice, F., WEBER, T., Lessage, X., Mahmoudi, S., Mahmoudi, S., & Siebert, X. (2020). Deep Convolutional Neural Networks (CNN) for mammographic abnormalities detection and segmentation. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Ait Abelouahid, R., Debauche, O., Mahmoudi, S., Marzak, A., Manneback, P., & Lebeau, F. (2020). Open Phytotron: A New Device for Home Controlled-Environment Agriculture [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
 | Debauche, O., Mahmoudi, S., & Moussaoui, Y. (2020). Internet of Things learning: a practical case for smart building automation [Paper presentation]. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, Marrakech, Morocco. |
 | Nasser, S., Naoui, M., Belalem, G., & Mahmoudi, S. (01 May 2020). Automated Segmentation of Brain Medical Images. International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 13 (No. 1), 17-28. doi:10.33832/ijsip.2020.13.1.02 Peer reviewed |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., Manneback, P., Bindelle, J., & Lebeau, F. (2020). Edge Computing for Cattle Behavior Analysis [Paper presentation]. Second international conference on Embedded & Distributed Systems, EDiS'2020, Oran, Algeria. doi:10.1109/EDiS49545.2020.9296471 |
 | Debauche, O., Mahmoudi, S., Manneback, P., & Assila, A. (21 November 2019). Fog IoT for Health: A new Architecture for Patients and Elderly Monitoring. Procedia Computer Science, 160, 289-297. doi:10.1016/j.procs.2019.11.087 Peer reviewed |
 | Chenine, A., M'hamed Amine, H., MERATI, M., Mahmoudi, S., & BENSABER, D. A. (2019). Colour Spaces Impact On Convolutional Neural Networks Performance [Paper presentation]. 1st International Conference on Networking Telecommunications, Biomedical Engineering and Applications (ICNTBA'19), Boumerdes, Algeria. |
Daho, M. E. H., Ammar, M., & Mahmoudi, S. (2019). Prostate segmentation in magnetic resonance images using Multi-resolution Active Appearance Models [Paper presentation]. 1st International Conference on Networking Telecommunications, Biomedical Engineering and Applications (ICNTBA'19), Boumerdes, Algeria. |
MERATI, M., Mahmoudi, S., Chenine, A., & Chikh, M. A. (2019). Classifying lesions in mammograms using artificial neural network [Paper presentation]. 1st International Conference on Networking Telecommunications, Biomedical Engineering and Applications (ICNTBA'19), Boumerdes, Algeria. |
 | Debauche, O., Mahmoudi, S., Andriamandroso, A. L. H., Manneback, P., Bindelle, J., & Lebeau, F. (31 October 2019). Cloud Services Integration For Farm Animals' Behavior Studies Based On Smartphones As Activity Sensors. Journal of Ambient Intelligence and Humanized Computing, 10 (12), 4651-4662. doi:10.1007/s12652-018-0845-9 Peer reviewed vérifié par ORBi |
Brahimi, M., Mahmoudi, S., Boukhalfa, K., & Moussaoui, A. (2019). Deep interpretable architecture for plant diseases classification [Paper presentation]. 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), POZNAN, Unknown/unspecified. |
Plum, J., De Cock, N., Dubois, J.-P., Dufrasne, I., Soyeurt, H., Quoitin, B., Mahmoudi, S., & Bindelle, J. (2019). Evaluation of Intel Realsense Depth cameras for open source remote monitoring of heifers on pastures [Paper presentation]. European conference dedicated to the future use of ICT in the agri-food sector, bioresource and biomass sector (EFITA 2019)), Rhodes, Greece. |
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (24 June 2019). Classification of breast cancer histology images using consensus oriented by three Deep Convolutional Neural Networks. International Journal of Computer Assisted Radiology and Surgery, 14 (1), 81-82. doi:10.1007/s11548-019-01969-3 Peer reviewed vérifié par ORBi |
 | MERATI, M., Mahmoudi, S., Chenine, A., & Chikh, M. A. (17 June 2019). A new triplet convolutional neural network for classification of lesions on mammograms. Revue d'Intelligence Artificielle, 33 (3), 213-217. doi:10.18280/ria.330307 Peer reviewed vérifié par ORBi |
 | Mahmoudi, S., Belarbi, M. A., Dadi, E. W., Mahmoudi, S., & Benjelloun, M. (2019). Cloud-Based Image Retrieval Using GPU Platforms. Computers. Peer reviewed vérifié par ORBi |
 | Debauche, O., & Mahmoudi, S. (2019). LA DÉPERDITION DES ABEILLES, LE SOS D'UN ENVIRONNEMENT EN DÉTRESSE. Polytech News. |
 | Debauche, O., & Mahmoudi, S. (2019). VACHES, PÂTURAGE ET ENVIRONNEMENT. Polytech News. |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (20 May 2019). Dimensionality Reduction in Large Scale Image Databases [Poster presentation]. Infortech Day, Mons, Belgium. |
 | Nolack Fote, F., Roukh, A., Mahmoudi, S., & Mahmoudi, S. (20 May 2019). IoT Data Analysis for Smart Farming : The Wallesmart Project [Poster presentation]. Infortech Day, Mons, Belgium. |
 | Debauche, O., Mahmoudi, S., & Mahmoudi, S. (2019). Internet of Things: learning and practices. Application to Smart City [Paper presentation]. The 4th IEEE International Conference on Cloud Computing Technologies and Applications, Brussels, Belgium. doi:10.1109/CloudTech.2018.8713337 |
 | Lazouni, M. A., Feroui, A., & Mahmoudi, S. (29 March 2019). A new intelligent system for glaucoma disease detection. International Journal of Computer Aided Engineering and Technology, 11 (4/5), 613 - 633. doi:10.1504/IJCAET.2019.100457 Peer reviewed vérifié par ORBi |
 | Benmouna, Y., Mezmaz, M., Mahmoudi, S., & Chikh, M. A. (2019). Parallel cycle-based branch-and-bound method for Bayesian network learning. Pattern Analysis and Applications. doi:10.1007/s10044-019-00815-1 Peer reviewed vérifié par ORBi |
 | Nolack Fote, F., Roukh, A., Mahmoudi, S., & Mahmoudi, S. (15 March 2019). WALLESMART : Enter wallon rearing into the 4.0 digital revolution [Poster presentation]. Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium. |
| Nedjar, I., Mahmoudi, S., & Chikh, M. A. (15 March 2019). A comparative study of different deep learning architectures for breast cancer histology images classification [Poster presentation]. Mardi des Chercheurs, Mons, Belgium. |
 | Maatoug, A., Belalem, G., & Mahmoudi, S. (01 March 2019). Fog computing framework for location-based energy management in smart buildings. Multiagent and Grid Systems, 15 (1), 39-56. doi:10.3233/MGS-190301 Peer reviewed vérifié par ORBi |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (2019). A New Parallel and Distributed Approach for Large Scale Images Retrieval. Lecture Notes in Network and Systems. Intelligent Technologies and Robotics. Peer reviewed |
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2019). A topological approach for mammographic density classification using a modified synthetic minority over-sampling technique algorithm. International Journal of Biomedical Engineering and Technology. Peer reviewed |
 | Nedjar, I., Mahmoudi, S., & Chikh, M. A. (08 December 2018). Topological methods for mammographic images classification: The Digital Mammography DREAM Challenge 2017 [Poster presentation]. RSGDREAM 2018 conference, NYU Langone Health, in New York City, New York, United States - New York. |
 | Debauche, O., Mahmoudi, S., Mahmoudi, S., & Manneback, P. (05 November 2018). Cloud Platform using Big Data and HPC Technologies for Distributed and Parallels Treatments. Procedia Computer Science, 141, 112-118. doi:10.1016/j.procs.2018.10.156 Peer reviewed |
 | Benmouna, Y., Benazzouz, M., Chikh, M. A., & Mahmoudi, S. (2018). New Method for Bayesian Network Learning. International Journal of Pattern Recognition and Artificial Intelligence. Peer reviewed vérifié par ORBi |
Lessage, X., Larhmam, M., Mahmoudi, S., & Nedjar, I. (2018). Assessing Breast Cancer Screening using recent Deep Convolutional Neural Networks. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Debauche, O., Mahmoudi, S., Belarbi, M. A., El Adoui, M., & Mahmoudi, S. (2018). Internet of Things: learning and practices: Application to Smart Home [Paper presentation]. International Conference on Advanced Communication Technologies and Networking (CommNet'18), Marrakech, Morocco. doi:10.1109/COMMNET.2018.8360247 |
Mahmoudi, S., Belarbi, M. A., Ammar, M., Abbou, A., & Mahmoudi, S. (2018). GPU-Low-Energy Tracking of the Left Ventricle in the Cloud. Lecture Notes in Computer Science. Peer reviewed |
Larhmam, M., Mahmoudi, S., Drisis, S., & Benjelloun, M. (25 April 2018). A Texture Analysis Approach for Spine Metastasis Classification in T1 and T2 MRI. Bioinformatics and Biomedical Engineering, 2 (2018), 198-211. doi:10.1007/978-3-319-78759-6_19 Peer reviewed |
 | Debauche, O., El Moulat, M., Mahmoudi, S., Boukraa, S., Manneback, P., & Lebeau, F. (24 April 2018). Web Monitoring of Bee Health for Researchers and Beekeepers Based on the Internet of Things. Procedia Computer Science, 130, 991-998. doi:10.1016/j.procs.2018.04.103 Peer reviewed |
 | Debauche, O., El Moulat, M., Mahmoudi, S., Manneback, P., & Lebeau, F. (2018). Irrigation pivot-center connected at low cost for the reduction of crop water requirements [Paper presentation]. International Conference on Advanced Communication Technologies and Networking (CommNet'18), Marrakech, Morocco. doi:10.1109/COMMNET.2018.8360259 |
 | Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (2018). CBIR in cloud with large scale images. In 3rd NESUS Winter School and PhD Symposium on Data Science and Heterogeneous Computing. COST IC 1305. |
Ammar, M., Mahmoudi, S., & Drisis, S. (2018). A Set of Texture-Based Methods for Breast Cancer Response Prediction in Neoadjuvant Chemotherapy Treatment. In Soft Computing Based Medical Image Analysis. 𝗘𝗹𝘀𝗲𝘃𝗶𝗲𝗿 𝗦&𝗧 𝗕𝗼𝗼𝗸𝘀. |
 | Mahmoudi, S., & Mahmoudi, S. (2017). Chapitre de cours de Multimedia Rertrieval and Indexation (I-INFO-014) : Cloud and GPU for Multimedia Retrieval: Chapitre 7 : Cloud & GPU for Multimedia Retrieval. |
Debauche, O., Mahmoudi, S., Manneback, P., Tadrist, N., Bindelle, J., & Lebeau, F. (2017). Improvement of battery life of iPhones Inertial Measurement Unit by using edge computing: Application to cattle behavior [Paper presentation]. International Symposium on Computer Sciences and Applications, Errachidia, Morocco. |
 | Debauche, O., Mahmoudi, S., Manneback, P., Massinon, M., Tadrist, N., Lebeau, F., & Mahmoudi, S. (2017). Cloud architecture for digital phenotyping and automation [Paper presentation]. CloudTech 2017 : The 3rd International Conference on Cloud Computing Technologies and Applications, Rabat, Morocco. doi:10.1109/CloudTech.2017.8284718 |
Belarbi, M. A., Mahmoudi, S., Belalem, G., & Mahmoudi, S. (2017). Web-based Multimedia Research and Indexation for Big Data Databases [Paper presentation]. CloudTech 2017 : The 3rd International Conference on Cloud Computing Technologies and Applications, Rabat, Morocco. |
 | Seddati, O., Dupont, S., Mahmoudi, S., & Amiri Parian, M. (2017). Towards Good Practices for Image Retrieval Based on CNN Features [Paper presentation]. IEEE International Conference on Computer Vision, Venice, Italy. |
Belarbi, M. A., Mahmoudi, S., & Belalem, G. (01 October 2017). PCA as Dimensionality Reduction for Large-Scale Image Retrieval Systems. International Journal of Ambient Computing and Intelligence, 8 (4), 45-58. doi:10.4018/IJACI.2017100104 Peer reviewed vérifié par ORBi |
Ammar, M., Baiche, K., Mahmoudi, S., & Benazzouz, M. (2017). Shape irregularity based area measurement: Application on cell nucleus recognition [Paper presentation]. 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), Boumerdes, Algeria. |
Mahmoudi, S., Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2017). Towards a Smart Selection of Resources in the Cloud for Low-energy Multimedia Processing. Concurrency and Computation: Practice and Experience. Peer reviewed vérifié par ORBi |
 | Seddati, O., Ben-Lhachemi, N., Dupont, S., & Mahmoudi, S. (2017). UMONS @ MediaEval 2017: Diverse Social Images Retrieval [Paper presentation]. MediaEval Benchmarking Initiative for Multimedia Evaluation, Dublin, Ireland. |
 | Mahmoudi, S., Debauche, O., El Adoui, M., & Belarbi, M. A. (2017). L'Internet des Objets met la lumière dans tous ses états. Polytech News (2017). |
Mahmoudi, S., Meziane, A., & Chikh, M. A. (2017). Brain Structures Segmentation by using Statistical Models. Medical Technologies Journal. Peer reviewed |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2017). Triplet Networks Feature Masking for Sketch-Based Image Retrieval. Lecture Notes in Computer Science. Peer reviewed |
 | Debauche, O., Mahmoudi, S., Andriamandroso, A. L. H., Manneback, P., Bindelle, J., & Lebeau, F. (27 June 2017). Web-based cattle behavior service for researchers based on the smartphone inertial central. Procedia Computer Science, 110, 110-116. doi:10.1016/j.procs.2017.06.127 Peer reviewed |
Mahmoudi, S., Lecron, F., Wilmet, V., & Mahmoudi, S. (2017). Fusion based computer-aided biopsy for early diagnosis of liver cancer. International Journal of Computer Assisted Radiology and Surgery. Peer reviewed vérifié par ORBi |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2017). Quadruplet Networks for Sketch-Based Image Retrieval. ACM on International Conference on Multimedia Retrieval. Peer reviewed |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2017). DeepSketch 3: Analyzing deep neural networks features for better sketch recognition and sketch-based image retrieval. Multimedia Tools and Applications, 1-27. doi:10.1007/s11042-017-4799-2, 2017 Peer reviewed vérifié par ORBi |
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2017). Content-based medical image retrieval for Liver CT Annotation [Paper presentation]. INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING, MACHINE LEARNING AND INTELLIGENT SYSTEMS, Tetuan, Morocco. |
Seddati, O., Delbrouck, J.-B., Dupont, S., & Mahmoudi, S. (25 April 2017). Deep Features for Big Data [Poster presentation]. Journée scientifique du Pôle hainuyer 'Les données au coeur de notre devenir: les enjeux des big data, Tournai, e-campus, Belgium. |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (07 March 2017). Dimensionality Reduction in Large Scale Image Databases [Poster presentation]. Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgique, 2017, Mons, Belgium. |
 | Debauche, O., Mahmoudi, S., Manneback, P., & Lebeau, F. (07 March 2017). Web-based animal behavior study service for researchers based on the smartphone inertial central [Poster presentation]. Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgium. |
Belarbi, M. A., Mahmoudi, S., Mahmoudi, S., & Belalem, G. (01 February 2017). Dimensionality Reduction in Large Scale Image [Paper presentation]. Second NESUS Winter School & PhD Symposium 2017, . |
Ammar, M., & Mahmoudi, S. (08 December 2016). New Circularity Index Using Radon Transform. International Journal of Applied Pattern Recognition, 03 (04), 368-380. Peer reviewed |
Daoudi, A., & Mahmoudi, S. (2016). A fully automatic cardiac segmentation method using region growing technique. MedPRAI-2016 Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, ACM New York, NY, USA - 2016. Peer reviewed |
Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). Efficiency of GPUs for Relational Database Engine Processing. Lecture Notes in Computer Science. Peer reviewed |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2016). DeepSketch2Image: Deep Convolutional Neural Networks for Partial Sketch Recognition and Image Retrieval. ACM on Multimedia Conference, Amsterdam, The Netherlands, 2016, 739-741. Peer reviewed |
Belarbi, M. A., Mahmoudi, S., & Belalem, G. (07 October 2016). Indexing videos by key frames [Paper presentation]. Dutch-Belgian DataBase Day, Mons, Belgium. |
Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). Boosting an embedded relational database management system with graphics processing units. 5th International Conference on Data Management Technologies and Applications, Lisbon, Portugal, 2016. Peer reviewed |
Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2016). Indexing videos by key frames [Paper presentation]. The Dutch-Belgian DataBase Day, Mons, Belgium. |
 | Ammar, M., Mahmoudi, S., & Stylianos, D. (16 September 2016). Breast Cancer Response Prediction in Neoadjuvant Chemotherapy Treatment Based on Texture Analysis. Procedia Computer Science, 100, 812-817. doi:10.1016/j.procs.2016.09.229 Peer reviewed |
Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). Amélioration des performances d'un moteur de base de données relationnelle embarqué par l'utilisation de GPU [Paper presentation]. Conférence COMPAS 2016, Université de Bretagne Sud, Lorient, France. |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2016). DeepSketch 2: Deep Convolutional Neural Networks for Partial Sketch Recognition. International Workshop on Content-based Multimedia Indexing, CBMI 2016, Bucharest, Romania, June 15-17, 2016. Peer reviewed |
 | Sobrie, O., Lazouni, M. A., Mahmoudi, S., Mousseau, V., & Pirlot, M. (2016). A new decision support model for preanesthetic evaluation. Computer Methods and Programs in Biomedicine, (133), 183-193. doi:10.1016/j.cmpb.2016.05.021 Peer reviewed vérifié par ORBi |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2016). Réseaux de Neurones Convolutionnels Profonds pour la Reconnaissance d'Action dans les Vidéos [Paper presentation]. CORESA 2016 - COmpression et REprésentation des Signaux Audiovisuels, Nancy, France. |
Naoui, M., Mahmoudi, S., & Belalem, G. (2016). Feasibility Study of a Distributed and Parallel Environment for Implementing the Standard Version of AAM Model. Journal of Information Processing Systems. Peer reviewed |
Cremer, S., Bagein, M., Mahmoudi, S., & Manneback, P. (2016). CuDB: a Relational Database Engine Boosted by Graphics Processing Units [Paper presentation]. Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems, Timisoara, Romania. |
Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2016). Indexing Video by the Content. Advances in Soft Computing. Peer reviewed |
Seddati, O., Dupont, S., & Mahmoudi, S. (2016). Video Motion Feature Extractors, 1st Prototype - IMOTION Deliverable 2.2. |
Naoui, M., Mahmoudi, S., & Belalem, G. (15 January 2016). Towards a Distributed and Parallel Schema for Active Appearance Model Implementation. International Journal of Computational Vision and Robotics, Vol.6 (1/2), 19 - 40. doi:10.1504/IJCVR.2016.073756 Peer reviewed vérifié par ORBi |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 December 2015). Classification of Spine Metastasis in T1-weighted MRI [Poster presentation]. Grascomp Doctoral Day, Namur, Belgium. |
Daoudi, A., Mahmoudi, S., & Chikh, M. A. (2015). Endocardial Ultrasound Segmentation using Level Set method [Paper presentation]. 3rd International Conference on Signal, Image, Vision and their Applications, Guelma, Algeria. |
Mahmoudi, S. (11 October 2015). Images analysis and annotation for computer aided diagnosis and multimedia management: Invited talk [Paper presentation]. Journées Doctorales Apprentissage Automatique & Web Intelligence (JDIM 2015), Mostaganem, Algeria. |
Mahmoudi, S., Benjelloun, M., Vankerkem, M., Libert, G., Gillis, N., & Tuyttens, D. (2015). Les projets IG : innovation permanente, réalisations diverses, un travail en équipe et des clients réels. Polytech News, (52), 20-21. |
 | Seddati, O., Emre, K., Pironkov, G., Dupont, S., Mahmoudi, S., & Dutoit, T. (2015). UMons at MediaEval 2015 Affective Impact of Movies Task including Violent Scenes Detection. IEEE Multimedia. Peer reviewed vérifié par ORBi |
 | Nedjar, I., Mahmoudi, S., Chikh, M. A., Abi-Yad, K., & Bouafia, Z. (2015). Automatic Annotation of Liver CT Image: ImageCLEFmed 2015 [Paper presentation]. Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum, 2015. CEUR Workshop Proceedings 1391, CEUR-WS.org 2015, Toulouse, France. |
Mahmoudi, S., Lecron, F., & Benjelloun, M. (24 June 2015). Digital mammograms classification for breast cancer detection. International Journal of Computer Assisted Radiology and Surgery, S (2015) 10 (Suppl 1), 125-S126. doi:10.1007/s11548-015-1213-2 Peer reviewed vérifié par ORBi |
 | Seddati, O., Dupont, S., & Mahmoudi, S. (2015). DeepSketch: Deep convolutional neural networks for sketch recognition and similarity search. International Workshop on Content-Based Multimedia Indexing, CBMI 2015, Prague, Czech Republic, June 10-12, 2015. Peer reviewed |
Belarbi, M. A., Belalem, G., & Mahmoudi, S. (2015). Research and automatic video indexing by content [Paper presentation]. International Conference on Multimedia Information processing, Mascara, Algeria. |
Belarbi, M. A., Mahmoudi, S., & Belalem, G. (2015). Research and automatic video indexing by content [Paper presentation]. Conférence Internationale sur le Traitement de l'Information Multimédia (CITIM'2015), Mascara, Algeria. |
Nedjar, I., Daho, M. E. H., Settouti, N., Mahmoudi, S., & Chikh, M. A. (30 March 2015). Random forest based classification of medical x-ray images using a genetic algorithm for feature selection. Journal of Mechanics in Medicine and Biology, Vol. 15 (2), 8. doi:10.1142/S0219519415400254 Peer reviewed vérifié par ORBi |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (10 March 2015). Computer aided diagnosis of bone metastasis using spine segmentation [Poster presentation]. 8ème édition de la Matinée des Chercheurs 2015 (MdC2015), Mons, Belgium. |
Seddati, O., Dupont, S., & Mahmoudi, S. (10 March 2015). DNN for action recognition in videos [Poster presentation]. 8ème édition de la Matinée de Chercheurs, Mons, Belgium. |
Seddati, O., Dupont, S., & Mahmoudi, S. (2015). Report on Video Motion Feature Extraction - IMOTION Deliverable 2.1. |
Tobon-Gomez, C., Geers, A., Peters, J., Weese, J., Pinto, K., Rashed, K., Ammar, M., Daoudi, A., Margeta, J., Sandoval, Z., Stender, B., Zheng, Y., A. Zuluaga, M., Betancur, J., Ayache, N., Chikh, M. A., Dillenseger, J.-L., Kelm, B. M., Mahmoudi, S., ... S. Rhode, K. (2015). Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets. IEEE Transactions on Medical Imaging. doi:10.1109/TMI.2015.2398818 Peer reviewed vérifié par ORBi |
Larhmam, M., Mahmoudi, S., Benjelloun, M., & Gillis, N. (2015). La vision par ordinateur au service de l'oncologie. Polytech News, (51), 13. |
Pirlot, M., Lazouni, M. A., Mahmoudi, S., & Sobrie, O. (2015). Gestion hospitalière et aide à la décision. Polytech News, (51), 16. |
Daoudi, A., Mahmoudi, S., & Chikh, M. A. (2015). Automatic Segmentation of the Right Ventricle by Active Shape Model and a Distance Transform. Journal of Medical Imaging and Health Informatics. Peer reviewed vérifié par ORBi |
Mahmoudi, S. (01 December 2014). Medical images analysis and annotation for computer aided diagnosis: Invited talk [Paper presentation]. IWMCS'2014 Second International Workshop on Mathematics and Computer Science, Tiratet, Algeria. |
 | Larhmam, M., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (2014). A Portable Multi-CPU/Multi-GPU based Vertebra Localization in Sagittal MR Images. Lecture Notes in Computer Science, (2014), 209-218. Peer reviewed |
Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (2014). Interpretable segmentation process applied to cardiac short axis MRI images [Paper presentation]. The Biomedical Engineering International Conference BIOMEIC'14, Tlemcen, Algérie, 2014, Tlemcen, Algeria. |
 | Benmouna, Y., Chikh, M. A., & Mahmoudi, S. (2014). String Resource Integration in Gene Selection of microarray data [Paper presentation]. The Biomedical Engineering International Conference BIOMEIC'14, Tlemcen, Algeria. |
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2014). Content-based Medical Images Retrieval [Paper presentation]. 19th INTERNATIONAL CONFERENCE ON MECHANICS IN MEDICINE AND BIOLOGY (ICMMB- 19), Bologna, Italy. |
Mahmoudi, S., & Benjelloun, M. (01 July 2014). A classification based medical images retrieval system. International Journal of Computer Assisted Radiology and Surgery, S (2014) 9 (Suppl 1), 77-S80. doi:10.1007/s11548-014-1023-y Peer reviewed vérifié par ORBi |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (25 June 2014). Towards a computer aided diagnosis for spine metastasis detection in MRI. International Journal of Computer Assisted Radiology and Surgery, 9(2014) (Suppl 1), 239. Peer reviewed vérifié par ORBi |
Mahmoudi, S., & Tuyttens, D. (2014). Les projets IG : des réalisations en équipe au coeur des besoins de l'entreprise. Polytech.News, (50). |
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2014). Annotation and retrieval approaches for medical images [Paper presentation]. 4th Doctoral day JD-GBM'2014, Tlemcen , Algeria. |
Lazouni, M. A., Settouti, N., Daho, M. E. H., Mahmoudi, S., & Chikh, M. A. (2014). Automatic Detection Of Difficult Tracheal Intubation [Paper presentation]. The 4th International Conference on Multimedia Computing and Systems (ICMCS'14), Marrakech, Morocco. |
MERATI, M., Mahmoudi, S., & Chikh, M. A. (14 March 2014). Texture and Classifier Based Medical Images Retrieval. Journal of Medical Imaging and Health Informatics, Volume 4 (Number 1), 43-48. Peer reviewed vérifié par ORBi |
Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (31 January 2014). Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge. Lecture Notes in Computer Science, LNCS 8330, 42-48. Peer reviewed |
Daoudi, A., & Mahmoudi, S. (31 January 2014). Automatic Segmentation of the Left Atrium on CT Images. Lecture Notes in Computer Science, LNCS 8330, 14-23. Peer reviewed |
Lazouni, M. A., Chikh, M. A., & Mahmoudi, S. (02 December 2013). A New Computer Aided Diagnosis System for Pre-Anesthesia Consultation. Journal of Medical Imaging and Health Informatics, 3 (4), 471-479. Peer reviewed vérifié par ORBi |
Lazouni, M. A., Daho, M. E. H., Settouti, N., Chikh, M. A., & Mahmoudi, S. (01 December 2013). Machine Learning Tool for Automatic ASA Detection. Studies in Computational Intelligence, SCI 488, 9-16. Peer reviewed |
Seriari, M., Chikh, M. A., & Mahmoudi, S. (2013). Breast cancer diagnosis in digital mammogram using curvelet transform and GLCM features [Paper presentation]. INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA'13), Guelma , Algeria. |
Daoudi, A., Mahmoudi, S., & Chikh, M. A. (2013). Active shape model for the semi-automatic segmentation of the right ventricle [Paper presentation]. INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA'13), Guelma , Algeria. |
Nedjar, I., Mahmoudi, S., & Chikh, M. A. (2013). Content-based medical images classification [Paper presentation]. INTERNATIONAL CONFERENCE ON SIGNAL, IMAGE, VISION AND THEIR APPLICATIONS (SIVA'13), Guelma , Algeria. |
 | Lecron, F., Boisvert, J., Mahmoudi, S., Labelle, H., & Benjelloun, M. (01 November 2013). Three-Dimensional Spine Model Reconstruction Using One-Class SVM Regularization. IEEE Transactions on Biomedical Engineering, 60 (11), 3256-3264. doi:10.1109/TBME.2013.2272657 Peer reviewed vérifié par ORBi |
Naoui, M., Belalem, G., & Mahmoudi, S. (01 September 2013). A Reflexion on Implementation Version for Active Appearance Model. International Journal of Computer Vision and Image Processing, 3 (Issue 3), 16-30. doi:10.4018/ijcvip.2013070102 Peer reviewed vérifié par ORBi |
 | Larhmam, M., Benjelloun, M., & Mahmoudi, S. (24 July 2013). Vertebra identification using template matching model and K-means clustering. International Journal of Computer Assisted Radiology and Surgery, 8 (1), 1-11. doi:10.1007/s11548-013-0927-2 Peer reviewed vérifié par ORBi |
Mahmoudi, S., & Benjelloun, M. (27 June 2013). Medical images annotation and retrieval. International Journal of Computer Assisted Radiology and Surgery, 8, 75-S78. Peer reviewed vérifié par ORBi |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (26 June 2013). A model-based approach for cervical spine mobility analysis. International Journal of Computer Assisted Radiology and Surgery, Volume 8 (Supplement 1), 291-S292. doi:10.1007/s11548-013-0880-0 Peer reviewed vérifié par ORBi |
Belaidi, S., Mahmoudi, S., & Chikh, M. A. (2013). Automatic regions detection in X- rays images using SVM method [Paper presentation]. Troisième Journée Doctorale en génie biologique et médical, Tlemcen, Algeria. |
Naoui, M., Belalem, G., & Mahmoudi, S. (2013). Towards an object-oriented client-server schema for active appearance model implementation. Mediterranean Journal of Computers and Networks. Peer reviewed |
Mahmoudi, S., & Benjelloun, M. (2013). Using Global Shape Descriptors for Content Medical Based Image Retrieval. In Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care. IGI Global. |
Larhmam, M., Benjelloun, M., & Mahmoudi, S. (12 March 2013). A Model-Based Approach for Cervical Vertebra Segmentation [Poster presentation]. 7ième Matinée des Chercheurs, Mons, Belgium. |
 | Dechamps, N., Bagein, M., Benjelloun, M., & Mahmoudi, S. (2012). Boosting Open-Source Database Engines with Graphics Processors [Paper presentation]. P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2012 Seventh International Conference on, Victoria, Canada. doi:10.1109/3PGCIC.2012.83 |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (09 November 2012). Cervical spine mobility analysis on radiographs: A fully automatic approach. Computerized Medical Imaging and Graphics, 36 (8), 634-642. Peer reviewed vérifié par ORBi |
 | Benjelloun, M., Mahmoudi, S., & Larhmam, M. (2012). Template Matching Approaches Applied to Vertebra Detection. In Advances in Image Segmentation (pp. 3-23). InTech. |
 | Larhmam, M., Mahmoudi, S., & Benjelloun, M. (2012). Semi-Automatic Detection of Cervical Vertebrae in X-ray Images Using Generalized Hough Transform [Paper presentation]. 3 rd International Conference on Image Processing Theory, Tools and Applications.IPTA'12, Istanbul, Turkey. |
 | Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2012). Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images [Paper presentation]. Biomedical Engineering International Conference, Biomeic, Tlemcen, Algeria. |
Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (2012). Segmentation de la cavité cardiaque gauche dans les images IRM par l'algorithme Espérance-Maximisation (EM) [Paper presentation]. Biomedical Engineering International Conference - BIOMEC 2012, Tlemcen - Algérie, France. |
Meziane, A., Mahmoudi, S., & Chikh, M. A. (2012). Étude et comparaison des méthodes de segmentation d'images cérébrales [Paper presentation]. Biomedical Engineering International Conference - BIOMEC 2012, Tlemcen - Algérie, France. |
Seriari, M., Mahmoudi, S., & Chikh, M. A. (2012). Détection automatique des masses dans les images mammographiques [Paper presentation]. Biomec 2012 Biomedical Engineering International Conference, Tlemcen, Algeria. |
Lecron, F., Boisvert, J., Mahmoudi, S., Labelle, H., & Benjelloun, M. (08 October 2012). Fast 3D Spine Reconstruction of Postoperative Patients Using a Multilevel Statistical Model. Lecture Notes in Computer Science, Volume 7511 (05), 446-453. Peer reviewed |
 | Saad, S., Mahmoudi, S., & Manneback, P. (2012). An Ontology for video human movement representation based on Benesh notation [Paper presentation]. I-Semantics'2012, Graz, Austria. doi:10.1145/2362499.2362519 |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (25 June 2012). Descriptive Image Feature for Object Detection in Medical Images. Lecture Notes in Computer Science, LNCS 7325, 331-338. Peer reviewed |
 | Saad, S., De Beul, D., Mahmoudi, S., & Manneback, P. (2012). Annotation sémantique des mouvements humains par une approche ontologique [Paper presentation]. COmpression et REprésentation des Signaux Audiovisuels (CORESA), Lille, France. |
Mahmoudi, S. (23 May 2012). Traitement d'images et fouille de données au service de l'aide au diagnostic médical [Paper presentation]. Deuxième Journée Doctorale en génie biologique et médical, Tlemcen, Algeria. |
 | Saad, S., De Beul, D., Mahmoudi, S., & Manneback, P. (2012). An Ontology for video human movement representation based on Benesh notation [Paper presentation]. 2012 International Conference on Multimedia Computing and Systems (ICMCS), Tanger, Morocco. doi:10.1109/ICMCS.2012.6320129 |
 | Lecron, F., Boisvert, J., Benjelloun, M., Labelle, H., & Mahmoudi, S. (2012). Multilevel statistical shape models: A new framework for modeling hierarchical structures [Paper presentation]. IEEE International Symposium on Biomedical Imaging, Barcelona, Spain. |
Mahmoudi, S., & Benjelloun, M. (01 May 2012). A New Medical Image Retrieval Approach Based on Curvelet Transform. International Journal of Computer Assisted Radiology and Surgery, 07 (S1), 103-S109. doi:10.1007/s11548-012-0705-6 Peer reviewed vérifié par ORBi |
Ammar, M., Mahmoudi, S., Chikh, M. A., & Amine, A. (01 April 2012). Endocardial Border Detection in Cardiac Magnetic Resonance Images Using Level Set Method. Journal of Digital Imaging, Volume 25 (Issue 2), 294-306. doi:10.1007/s10278-011-9404-z Peer reviewed vérifié par ORBi |
Ammar, M., Mahmoudi, S., Chikh, M. A., & Abbou, A. (01 March 2012). Automatic segmentation of cardiac magnetic resonance images using Active Appearance Models and Hausdorff distance. Journal of Mechanics in Medicine and Biology, 12 (04), 1250059 (19. doi:10.1142/S0219519412005058 Peer reviewed vérifié par ORBi |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (2012). Fully automatic vertebra detection in x-ray images based on multi-class SVM [Paper presentation]. SPIE Medical Imaging: Image Processing, San Diego, United States - California. |
Mahmoudi, S., Benjelloun, M., & Abdelali, A. (10 January 2012). Similarity Search by Shapes Silhouettes for 3D Objects Retrieval. Journal of Communications and Computer Engineering, Volume 02 (Issue 01), 41-45. Peer reviewed vérifié par ORBi |
Benjelloun, M., Mahmoudi, S., Lecron, F., & Libert, G. (2011). Mesure de la mobilité cervicale. AIMS Journal. |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (03 November 2011). 3D reconstruction of the spine from multi-planar radiographs [Poster presentation]. Grascomp Day, Graduate School in Computing Science of the Belgium's French Community, ULB, Bruxelles, Belgium. |
Bagein, M., Fremal, S., & Mahmoudi, S. (2011). Green Computing, ou comment les processeurs graphiques économisent le temps et l'énergie. Polytech News, (46). |
 | Lecron, F., Mahmoudi, S., Benjelloun, M., Mahmoudi, S., & Manneback, P. (15 August 2011). Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images. International Journal of Biomedical Imaging, Volume 2011, (10.1155/2011), 1-12. doi:10.1155/2011/640208 Peer reviewed vérifié par ORBi |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (24 June 2011). Vertebra segmentation for the computer-aided cervical mobility evaluation on radiographs. International Journal of Computer Assisted Radiology and Surgery, 06 (S1), 46-S52. doi:10.1007/s11548-011-0573-5 Peer reviewed vérifié par ORBi |
Mahmoudi, S., Benjelloun, M., & Lecron, F. (23 June 2011). Medical image retrieval applied to computer aided diagnosis. International Journal of Computer Assisted Radiology and Surgery, 06 (S1), 67-S73. doi:10.1007/s11548-011-0591-3 Peer reviewed vérifié par ORBi |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (03 June 2011). A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach. International Journal of Biomedical Imaging, 2011. Peer reviewed vérifié par ORBi |
Mahmoudi, S. (2011). La navigation dans les bases d'objets tridimensionnels au service de l'exploitation du patrimoine. Polytech News, (45). |
MERATI, M., & Mahmoudi, S. (2011). Moteur de recherche d'images médicales en combinant la BEMD et le filtre de Gabor [Paper presentation]. The First International Conference on Information Systems and Technologies, Tébessa , Algeria. |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (22 March 2011). Reconstruction 3D de la colonne vertébrale à partir de radiographies multi-planaires [Poster presentation]. 6ème édition de la Matinée des Chercheurs (MDC 2011), Mons, Belgium. |
Mahmoudi, S., Benjelloun, M., & Filali Ansary, T. (30 January 2011). 3D Objects Retrieval using Curvature Scale Space and Zernike Moments. Journal of Pattern Recognition Research, Volume 06 (Issue 01), 75-95. Peer reviewed vérifié par ORBi |
Ammar, M., Chikh, M. A., & Mahmoudi, S. (2010). Toward an Automatic Segmentation Method of Endocardial Border in Cardiac Magnetic Resonance Images [Paper presentation]. The International Arab Conference on Information Technology ACIT 2010, Benghazi, Libya. |
 | Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2010). GPU-based segmentation of cervical vertebra in X-Ray images [Paper presentation]. IEEE International Conference on Cluster Computing, Crete, Greece. |
Lecron, F., Benjelloun, M., & Mahmoudi, S. (2010). Points of Interest Detection in Cervical Spine Radiographs by Polygonal Approximation [Paper presentation]. IPTA 2010, International conference on image processing theory, tools and applications, Paris, France. |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (2010). L'utilisation de la méthode active shape model pour la segmentation des vertèbres [Paper presentation]. E-medisys 2010, the third international conference E-medisys 2010: E-medical systems, Fez, Morocco. |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (2010). A New Semi-Automatic Approach for X-Ray Cervical Images Segmentation Using Active Shape Model [Paper presentation]. BIOSIGNALS 2010, International Conference on Bio-inspired Systems and Signal Processing, Valence, Spain. |
Benjelloun, M., & Mahmoudi, S. (2010). Semi-automatique vertebra segmentation. In Handbook of research on developments in e-health and telemedecine: technological and social perspectives (pp. 110-124). IGI Global. |
MERATI, M., & Mahmoudi, S. (2009). Une Nouvelle Approche de Segmentation d'Images Médicales par Combinaison des deux Modèles Déformables : ASM et Snakes [Paper presentation]. Conférence Nationale en Sciences et Technologies de l'Information et de la Communication - STIC 2009, M'Sila, Algeria. |
Mahmoudi, S., Manneback, P., Lecron, F., Benjelloun, M., & Mahmoudi, S. (19 October 2009). Parallel image processing with CUDA and OpenGL [Paper presentation]. 1st scientific workshop, open network for high-performance computing on complex environments, action cost 805, Lisbon, Portugal, Lisbon, Portugal. |
Lecron, F., Mahmoudi, S., & Benjelloun, M. (01 July 2009). Etude de la dynamique vertébrale 2D et 3D [Poster presentation]. Nouveaux outils mathématiques pour l'analyse d'images et la vision par ordinateur, Figeac, France. |
Benjelloun, M., & Mahmoudi, S. (01 June 2009). Spine localization in x-ray images using interest point detection. Journal of Digital Imaging, 22 (3), 309-318. Peer reviewed vérifié par ORBi |
Mejeded, M., & Mahmoudi, S. (03 May 2009). The deformable models and their applications in the processing of medical images : Les modèles déformables et leurs applications dans le traitement des images médicales. CEUR Workshop Proceedings, Volume 547, 11. Peer reviewed vérifié par ORBi |
Benjelloun, M., Mahmoudi, S., & Lecron, F. (17 March 2009). Etude de la dynamique vertébrale 2D et 3D [Poster presentation]. Matinée des chercheurs 2009, Mons, Belgium. |
Benjelloun, M., & Mahmoudi, S. (01 April 2008). X-ray image segmentation for vertebral mobility analysis. International Journal of Computer Assisted Radiology and Surgery, 2 (6), 371-383. Peer reviewed vérifié par ORBi |
Benjelloun, M., & Mahmoudi, S. (2008). Image segmentation and feature extraction for visceral and vertebral dynamic [Paper presentation]. LID 2008, International conference on medical imaging, Liège, Belgium. |
Bauwens, J.-F., Mahmoudi, S., & Benjelloun, M. (12 March 2008). Segmentation evaluation to improve automatic vertebral segmentation [Poster presentation]. LID 2008, International conference on medical imaging, Liège, Belgium. |
Bauwens, J.-F., Mahmoudi, S., & Benjelloun, M. (2008). Segmentation evaluation to improve automatic vertebral segmentation [Paper presentation]. LID 2008, International conference on medical imaging, Liège, Belgium. |
Mahmoudi, S., & Benjelloun, M. (2007). Corner points detection for vertebral mobility analysis [Paper presentation]. IEEE International Conference on Signal Processing and Communication, Dubaï, United Arab Emirates. |
Mahmoudi, S., & Benjelloun, M. (2007). A new approach for cervical vertebrae segmentation [Paper presentation]. CIARP 2007, 12th Iberoamerican Congress on Pattern Recognition, . |
Mahmoudi, S., & Daoudi, M. (01 October 2007). A probabilistic approach for 3D shape retrieval by characteristic views. Pattern Recognition Letters, 28 (13), 1705-1718. Peer reviewed vérifié par ORBi |
Benjelloun, M., & Mahmoudi, S. (2007). X-ray images mobility analysis using corners detection [Paper presentation]. International Machine Vision and Image Processing Conference, Dublin, Ireland. |
Benjelloun, M., & Mahmoudi, S. (2007). Mobility estimation and analysis in medical x-ray images using corners and faces contours detection [Paper presentation]. International Machine Vision and Image Processing Conference 2007, . |
Mahmoudi, S., & Benjelloun, M. (01 September 2007). A new approach for cervical vertebrae segmentation. Lecture Notes in Computer Science, 4756, 753-762. Peer reviewed |
Benjelloun, M., Mahmoudi, S., Prevot, R., & German, R. (01 September 2007). Vertebral mobility analysis using anterior faces detection. Lecture Notes in Computer Science, 4678, 897-908. Peer reviewed |
Benjelloun, M., & Mahmoudi, S. (2007). Motion analysis in medical x-ray images using anterior faces detection [Paper presentation]. Seventh IASTED International Conference on Visualization, Imaging and Image Processing, . |
Benjelloun, M., Mahmoudi, S., Prévot, R., & Rico, G. (2007). Vertebral Mobility Analysis Using Anterior Faces Detection: Lecture Notes in Computer Science,4678,897-908 [Paper presentation]. Advanced Concepts for Intelligent Vision Systems, . |
Benjelloun, M., & Mahmoudi, S. (2007). Spine localization and vertebral mobility analysis using faces contours detection [Paper presentation]. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France. |
Mahmoudi, S. (2007). Spine localization and vertebral mobility analysis using faces contours detection. Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, 6557-6560. Peer reviewed |
Bauwens, J.-F., Mahmoudi, S., & Benjelloun, M. (24 July 2007). A survey on evaluation techniques of vertebraesegmentation results [Paper presentation]. EMEDYSIS07, Fez, Morocco. |
Benjelloun, M., Tellez, H., & Mahmoudi, S. (2006). A New Method for Vertebrae Contours Detection in X-ray Images [Paper presentation]. Irish Machine Vision and Image Processing Conference, Dublin, Ireland. |
Benjelloun, M., Tellez, H., & Mahmoudi, S. (2006). A New Template Matching Method for Vertebrae Contours Detection in X-ray Images [Paper presentation]. 6th IASTED International Conference on Visualization, Imaging, And Image Processing, Palma de Mallorca, Spain. |
Benjelloun, M., Tellez, H., & Mahmoudi, S. (2006). Template Matching Method for Vertebra Region Selection [Paper presentation]. 2nd IEEE International Conference on Information and Communication technologies: from theory to applications, Damasus, Syria. |
Benjelloun, M., Mahmoudi, S., & Tellez, H. (2006). Verterbra Edge Detection and Motion Estimation with Polar Signature. IEEE International Conference on Image Processing, 761-764. Peer reviewed |
Benjelloun, M., Mahmoudi, S., & Tellez, H. (01 January 2006). Vertebra Edge Detection Using Polar Signature. International Conference on Pattern Recognition, Volume 1, 2006, 476-479. Peer reviewed |
Mahmoudi, S., & Daoudi, M. (2004). Partial Shape Retrieval By M-tree and a Bayesian Approach [Paper presentation]. Computer Vision, Graphics and Image Processing - ICVGIP 2004, Kolkata, India. |
Filali Ansary, T., Vandeborre, J. P., Mahmoudi, S., & Mohamed, D. (2004). A Bayesian framework for 3D models retrieval based on characteristic views [Paper presentation]. The Second International Symposium on 3D Data Processing Visualization and Transmission - 3DPVT 2004, Thessaloniki, Greece. |
Mahmoudi, S. (2003). Indexation de formes planes : application à la reconnaissance multi-vues de modèles 3D [Doctoral thesis, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/41568 |
Mahmoudi, S., & Daoudi, M. (2003). Retrieval by shape using CSS and M-tree [Paper presentation]. he third international workshop on Content-Based Multimedia Indexing - CBMI 2003, Rennes , France. |
Mahmoudi, S., & Daoudi, M. (11 July 2002). 3D Models Retrieval by using Characteristic Views. International Conference on Pattern Recognition, Volume 16 (Issue 2), 457-460. Peer reviewed |
Mahmoudi, S., & Daoudi, M. (2002). 3D Models Retrieval and Indexing [Paper presentation]. IMMCN'2002, the Second International Workshop on Intelligent Multimedia Computing and Networking, Durham, United States - North Carolina. |
Mahmoudi, S., & Daoudi, M. (2002). Une nouvelle méthode d'indexation 3D [Paper presentation]. 13ème Congrès de Reconnaissance des Formes et d'Intelligence Artificielle, RFIA 2002, Angers, France. |
Mahmoudi, S. (2001). Indexation par la forme utilisant les M-Tree [Paper presentation]. Compression et Représentation des Signaux Audiovisuels, (CORESA 2001), Dijon, France. |
Mahmoudi, S., Jacob, G., Oussous, N.-E., & Petitot, M. (2001). Un paquetage MAPLE pour les séries rationnelles non commutatives [Paper presentation]. Colloque International Algèbre Linéaire et Arithmétique ALA'2001: Calcul Numérique, Symbolique et Parallèle, Rabat , Morocco. |
