Lecron, F. (2024). Amélioration du sommeil, impact sur la mémoire & diagnostic précoce d’Alzheimer : le point sur les recherches. Belgium: RTBF/La Première - Émission "Les éclaireurs". |
Delcoucq, L., Lecron, F., & Fortemps, P. (27 May 2024). Optimisation des processus : le rôle clé du Process Mining [Paper presentation]. 29ème conférence de l’AIM, Montpellier, France. ![]() |
![]() ![]() | Thiebaut, E., Lecron, F., & Mahmoudi, S. (21 May 2024). Vers un jeu plus responsable : Identifier les facteurs de risques d’addiction à l’aide de Machine Learning [Poster presentation]. 10e Journée scientifique du Pôle Hainuyer, Mons, Belgium. |
Delmotte, P., Lecron, F., Lefebvre, L., & Ris, L. (21 May 2024). Vers un dépistage précoce de la maladie d'Alzheimer [Paper presentation]. 10e Journée scientifique du Pôle Hainuyer, Mons, Belgium. |
![]() ![]() | Manderlier, M., & Lecron, F. (26 March 2024). Au-delà des recommandations : un voyage ludique au coeur de l’intelligence artificielle explicable [Poster presentation]. Mardi des Chercheurs 2024. |
![]() ![]() | Manderlier, M., & Lecron, F. (2023). RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/48235. |
![]() ![]() | Vu thanh, O., Gillis, N., & Lecron, F. (31 May 2023). Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications. IEEE Transactions on Signal Processing, 71, 2434-2447. doi:10.1109/TSP.2023.3289704 ![]() |
![]() ![]() | Delcoucq, L., Dupiereux-Fettweis, T., Lecron, F., & Fortemps, P. (2022). Resource and activity clustering based on a hierarchical cell formation algorithm. Applied Intelligence. doi:10.1007/s10489-022-03457-9 ![]() |
![]() ![]() | Vu Thanh, O., Gillis, N., & Lecron, F. (2022). Bounded Simplex-Structured Matrix Factorization. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. doi:10.1109/ICASSP43922.2022.9747124 ![]() |
![]() ![]() | Raneri, S., Lecron, F., Hermans, J., & Fouss, F. (2022). Predictions through Lean startup? Harnessing AI-based predictions under uncertainty. International Journal of Entrepreneurial Behaviour and Research. ![]() |
![]() ![]() | Delcoucq, L., Lecron, F., Fortemps, P., & van der Aalst, W. M. P. (2020). Resource-centric process mining: clustering using local process models. SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing. ![]() |
![]() ![]() | Itani, S., Lecron, F., & Fortemps, P. (16 March 2020). A One-Class Classification Decision Tree Based on Kernel Density Estimation. Applied Soft Computing, 91, 106250. doi:10.1016/j.asoc.2020.106250 ![]() |
![]() ![]() | Itani, S., Lecron, F., & Fortemps, P. (2019). Data Mining for ADHD & ASD Prediction based on Resting-state fMRI Signals: A Literature Review [Paper presentation]. BNAIC/BENELEARN 2019 - The reference AI & ML conference for Belgium, Netherlands & Luxemburg, Bruxelles, Belgium. |
Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (24 May 2019). Autism in DSM-IV vs DSM-V: What if Machine Learning Could Help Us See Things More Clearly? [Poster presentation]. 13th National Congress of the Belgian Society for Neuroscience, Brussels, Belgium. |
![]() ![]() | Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (26 April 2019). Towards Interpretable Machine Learning Models for Diagnosis Aid: A Case Study on Attention Deficit/Hyperactivity Disorder. PLoS ONE, 14 (4). doi:10.1371/journal.pone.0215720 ![]() |
Itani, S., Lecron, F., & Fortemps, P. (15 March 2019). Specifics of Medical Data Mining for Diagnosis Aid: A Survey. Expert Systems with Applications, 118, 300-314. doi:10.1016/j.eswa.2018.09.056 ![]() |
Itani, S., Lecron, F., & Fortemps, P. (05 March 2019). Artificial Intelligence for Medical Diagnosis: Insights into Major Paradigms [Poster presentation]. Mardi des Chercheurs, Mons, Belgium. |
Delcoucq, L., Lecron, F., & Fortemps, P. (05 March 2019). Process Mining: A resources based view [Poster presentation]. Mardi des Chercheurs 2019 (MdC2019), Mons, Belgium. |
Delcoucq, L., Lecron, F., & Fortemps, P. (07 February 2019). Process Mining: resources and tasks clusteringbased on Cell Formation algorithm [Paper presentation]. ORBEL 33, Hasselt, Belgium. |
Itani, S., Thanou, D., Rossignol, M., Lecron, F., & Fortemps, P. (05 February 2019). Exploiting the Structure-Function Interplay of Brain Regions for the Diagnosis of Autism Spectrum Disorder: A Machine Learning Approach [Poster presentation]. The Childbrain Conference, Leuven, Belgium. |
Delcoucq, L., Lecron, F., & Fortemps, P. (15 January 2019). Process Mining : resources clustering [Paper presentation]. Complex Systems think tank, Mons, Belgium. |
Itani, S., Lecron, F., & Fortemps, P. (15 January 2019). Data science for medical diagnosis prediction: objectives and challenges [Paper presentation]. Complex Systems think tank, Mons, Belgium. |
Itani, S., Lecron, F., & Fortemps, P. (2018). A Gender-Differentiated MR-Sort Model for Diagnosis Aid of Attention Deficit Hyperactivity Disorder (ADHD) [Paper presentation]. DA2PL'2018 - From Multiple Criteria Decision Aid to Preference Learning, Poznan, Poland. |
Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (19 July 2018). On the Involvement of the Limbic System in the Diagnosis of Attention Deficit Hyperactivity Disorder [Poster presentation]. International Neuropsychological Society 2018 Mid-Year Meeting, Prague, Unknown/unspecified. |
Itani, S., Lecron, F., & Fortemps, P. (10 July 2018). A Novel Training Algorithm to Build Decision Trees for Anomaly Detection [Paper presentation]. EURO2018 - 29th European Conference on Operational Research, Valence, Spain. |
![]() ![]() | Mahmoudi, S., Belarbi, M. A., El Adoui, M., Larhmam, M., & Lecron, F. (2018). Real Time Web-based Toolbox for Computer Vision. Journal of Science and Technology of the Arts. ![]() |
Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (2018). Towards Sustainable Technologies for the Early Diagnosis of Mental Disorders in Children [Paper presentation]. Symposium HERA - Transmettre un monde habitable aux générations futures : l'apport de la recherche, Mons, Belgium. |
Itani, S., Lecron, F., & Fortemps, P. (24 April 2018). Explainable Artificial Intelligence: the Promise of Increased Transparency in Data Processing [Poster presentation]. Quatrième journée scientifique du Pôle hainuyer - Pour une société innovante : de l'économie circulaire à l'intelligence artificielle, Mons, Belgium. |
Itani, S., Lecron, F., & Fortemps, P. (28 March 2018). A Density-Based Decision Tree for One-Cass Classification [Poster presentation]. Mardi des Chercheurs 2018, Valenciennes, France. |
Delcoucq, L., Lecron, F., & Fortemps, P. (27 March 2018). Process Mining : A science with a wide range of applications [Poster presentation]. Mardi des Chercheurs (MdC2018), Valenciennes, France. |
Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (27 March 2018). What's going on, Doc? - When Machine Learning Addresses Neuropathologies with Readability [Poster presentation]. Mardi des Chercheurs 2018, Valenciennes, France. |
![]() ![]() | Lecron, F., & Fouss, F. (09 February 2018). An Optimization Model for Collaborative Recommendation Using a Covariance-Based Regularizer. Data Mining and Knowledge Discovery, 32 (3), 651-674. doi:10.1007/s10618-018-0552-3 ![]() |
Itani, S., Lecron, F., & Fortemps, P. (02 February 2018). A Density-based Decision Tree for One-class Classification [Paper presentation]. 32nd Annual Conference of the Belgian Operational Research Society (ORBEL 32), Liège, Belgium. |
![]() ![]() | Itani, S., Lecron, F., & Fortemps, P. (01 January 2018). A Multi-level Classification Framework for Multi-site Medical Data: Application to the ADHD-200 Collection. Expert Systems with Applications, 91, 36-45. doi:10.1016/j.eswa.2017.08.044 ![]() |
Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (13 October 2017). A Tree-Based Decision Support System For Attention Deficit Hyperactivity Disorder Diagnosis [Poster presentation]. 57th Annual Meeting of the Society for Psychophysiological Research, Vienne , Austria. |
![]() ![]() | Itani, S., Lecron, F., & Fortemps, P. (25 August 2017). Specifics of Medical Data Mining for Neurological Diagnosis Prediction [Paper presentation]. Computers in Scientific Discovery 8, Mons, Belgium. |
![]() ![]() | Sommer, F., Lecron, F., & Fouss, F. (2017). Recommender Systems: The case of repeated interaction in Matrix Factorization. WI '17: Proceedings of the International Conference on Web Intelligence. ![]() |
Mahmoudi, S., El Adoui, M., Belarbi, M. A., Larhmam, M., & Lecron, F. (2017). Cloud-based Platform for Computer Vision Applications [Paper presentation]. International Conference on Smart Digital Environment (ICSDE'17), Rabat, Morocco. |
Vaghasyia, T., Bhatt, N., Vallée, F., Lecron, F., & De Grève, Z. (17 July 2017). Wind Power Prediction by Using Matrix Factorization Technique. International Journal of Advance Engineering and Research Development, 4 (7), 351-362. ![]() |
Itani, S., Lecron, F., & Fortemps, P. (29 June 2017). Data Mining et Informatique Affective pour l'Aide au Diagnostic de Troubles Mentaux chez l'Enfant [Paper presentation]. Séminaire ONE Academy, UMONS, Belgium. |
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. ![]() |
De Grève, Z., Lecron, F., Vallée, F., Mor, G., Perez, D., Danov, S., & Cipriano, J. (2017). Comparing Time Series Clustering Approaches for Electrical Load Patterns [Paper presentation]. 24th International Conference & Exhibition on Electricity Distribution, CIRED 2017, Glasgow, United Kingdom. |
Lecron, F., De Grève, Z., Vallée, F., Mor, G., Perez, D., Danov, S., & Cipriano, J. (2017). Using Matrix Factorization for the Prediction of Electrical Quantities [Paper presentation]. 24th International Conference & Exhibition on Electricity Distribution, CIRED 2017, Glasgow, United Kingdom. |
De Grève, Z., Lecron, F., Vallée, F., & Venkateswaran, A. (12 June 2017). Data Analytics in Smart Grids (Tutorial) [Paper presentation]. 24th International Conference & Exhibition on Electricity Distribution, CIRED 2017, Glasgow, United Kingdom. |
Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (31 May 2017). On Objective Models to Aid in Diagnosing Attention Deficit Hyperactivity Disorder [Paper presentation]. Annual Meeting of the Belgian Association for Psychological Science (BAPS), Bruxelles, Unknown/unspecified. |
Itani, S., Lecron, F., & Fortemps, P. (25 April 2017). Kids Mental Health at the Core of Data Mining and Neuroscience Concerns: a Promising Interaction to Face Major Challenges [Poster presentation]. Troisième journée scientifique du Pôle hainuyer - Les technologies de l'information, Eurometropolitan e-campus, Froyennes, Belgium. |
Itani, S., Lecron, F., & Fortemps, P. (07 March 2017). On Objective Models to Aid in Diagnosing Attention Deficit Hyperactivity Disorder [Poster presentation]. Huitième édition montoise du MdC : le Mardi des Chercheurs 2017, UMons, Belgium. |
Itani, S., Lecron, F., & Fortemps, P. (03 February 2017). Statistical Analysis of Medical Data using a Multilevel Approach [Paper presentation]. 31st Annual Conference of the Belgian Operational Research Society (ORBEL 31), Bruxelles, Belgium. |
![]() ![]() | Fremal, S., & Lecron, F. (25 January 2017). Weighting Strategies for a Recommender System Using Item Clustering Based on Genres. Expert Systems with Applications, 77, 105-113. doi:10.1016/j.eswa.2017.01.031 ![]() |
![]() ![]() | Itani, S., Fortemps, P., & Lecron, F. (2016). Data Mining for Aiding Diagnosis of Attention Deficit Hyperactivity Disorder by a Multilevel Approach [Paper presentation]. Belgian-Dutch Conference on Machine Learning, BeneLearn, Courtrai, Belgium. |
![]() ![]() | Vallée, F., Moutier, F., Klonari, V., Toubeau, J.-F., Lecron, F., De Grève, Z., & Lobry, J. (11 April 2016). On the Correlation between Prosumers in Probabilistic Analysis of Low Voltage Distribution Systems. International Review of Electrical Engineering, 11 (3), 277-283. ![]() |
Vallée, F., Moutier, F., Klonari, V., Toubeau, J.-F., Lecron, F., De Grève, Z., & Lobry, J. (2015). Clustering of Photovoltaic Generation for the Consideration of Time Changing Geographical Correlation in Probabilistic Analysis of Low Voltage Distribution Systems [Paper presentation]. 5th International Workshop on Integration of Solar Power into Power Systems, Brussels, Belgium. |
Ancia, P., Bette, S., Dualibe, F., Lecron, F., & Lupant, D. (2015). Introduction à l' art de l' ingénieur et initiation aux métiers de l'ingénieur, des projets dès la Bachelier : Le dispositif : la démarche, les moyens et l'évaluation. Polytech.News, N°52. |
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 ![]() |
Aubert, A., Fortemps, P., & Lecron, F. (2015). Introduction à l'art de l'ingénieur : fonder une pratique et un projet professionnels : Comment accompagner et évaluer la 'transformation' des étudiants ? [Paper presentation]. Questions de Pédagogie dans l'Enseignement Supérieur, Brest, France. |
Lecron, F. (2015). Les défis de la reconstruction 3D en imagerie médicale. |
![]() ![]() | 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 ![]() |
Lecron, F. (12 September 2013). 3D model fitting on noisy 2D datasets [Paper presentation]. Journée du Comité Scientifique du CMMI, Centre de Microscopie et d'Imagerie Moléculaire, Belgium. |
![]() ![]() | Vandenbulcke, V., Lecron, F., Ducarroz, C., & Fouss, F. (2013). Customer segmentation based on a collaborative recommendation system: Application to a mass retail company. Proceedings of the 2013 conference of European Marketing Academy. ![]() |
Lecron, F. (17 April 2013). Statistical models of the spine with applications in medical image processing [Paper presentation]. Image and Signal Processing Seminars, Université Catholique de Louvain, Belgium. |
Lecron, F., & Noël, S. (12 March 2013). Machine learning regularization for the three-dimensional reconstruction of scoliotic spines [Poster presentation]. 7ième Matinée des Chercheurs, Mons, Belgium. |
Lecron, F. (2013). Modélisations statistiques de la colonne vertébrale et applications [Doctoral thesis, Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/6724 |
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. ![]() |
![]() ![]() | 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. |
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. ![]() |
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. ![]() |
Lecron, F., & Benjelloun, M. (2012). La 3D : effet de mode ou vrai service à la société ? Polytech.News, (47), 28. |
![]() ![]() | 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. |
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. |
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. |
![]() ![]() | 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 ![]() |
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 ![]() |
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 ![]() |
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. ![]() |
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., 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. |
![]() ![]() | Lecron, F., Manneback, P., & Tuyttens, D. (2010). Exploiting Grid Computation for Solving the Vehicle Routing Problem [Paper presentation]. ACS/IEEE International Conference on Computer Systems and Applications, Hammamet, Tunisia. |
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. |
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., & Lecron, F. (17 March 2009). Etude de la dynamique vertébrale 2D et 3D [Poster presentation]. Matinée des chercheurs 2009, Mons, Belgium. |
Lecron, F., Manneback, P., & Tuyttens, D. (05 November 2008). Solving the vehicle routing problem with paradiseo using grid'5000 [Paper presentation]. Deuxième journée aladdin-grid'5000, inria lille nord europe, Lille, France. |