Profil

Lecron Fabian

Université de Mons - UMONS > Faculté Polytechnique > Service de Management de l'Innovation Technologique

Université de Mons - UMONS > Faculté Polytechnique > Management de l'Innovation Technologique

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


Main Referenced Co-authors
FORTEMPS, Philippe  (32)
ITANI, Sarah  (25)
Benjelloun, Mohammed  (23)
MAHMOUDI, Saïd  (23)
ROSSIGNOL, Mandy  (8)
Main Referenced Keywords
artificial intelligence (3); 3D reconstruction (2); Attention Deficit Hyperactivity Disorder (2); autism (2); Diagnosis aid (2);
Main Referenced Unit & Research Centers
CIPSE - Centre de recherche interdisciplinaire en Psychophysiologie et Electrophysiologie de la cognition (12)
BIOSYS - Biosys (11)
CRTI - Centre de Recherche en Technologie de l'Information (6)
Main Referenced Disciplines
Computer science (59)
Mathematics (25)
Library & information sciences (20)
Electrical & electronics engineering (17)
Laboratory medicine & medical technology (17)

Publications (total 78)

The most downloaded
85 downloads
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 https://hdl.handle.net/20.500.12907/39556
The most cited
65 citations (Scopus®)
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 https://hdl.handle.net/20.500.12907/8076

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
Peer Reviewed verified by ORBi

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.
Peer Reviewed verified by ORBi

Vu Thanh, O., Gillis, N., & Lecron, F. (2022). Bounded Simplex-Structured Matrix Factorization. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings.
Peer reviewed

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.
Peer reviewed

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
Peer Reviewed verified by ORBi

Itani, S., Lecron, F., & Fortemps, P. (2019). Data Mining for ADHD & ASD Prediction based on Resting-state fMRI Signals: A Literature Review. Paper presented at BNAIC/BENELEARN 2019 - The reference AI & ML conference for Belgium, Netherlands & Luxemburg, Bruxelles, Belgium. doi:10.1088/1748-0221/5/03/T03008

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 session presented at 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
Peer reviewed

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
Peer Reviewed verified by ORBi

Itani, S., Lecron, F., & Fortemps, P. (05 March 2019). Artificial Intelligence for Medical Diagnosis: Insights into Major Paradigms. Poster session presented at Mardi des Chercheurs, Mons, Belgium.

Delcoucq, L., Lecron, F., & Fortemps, P. (05 March 2019). Process Mining: A resources based view. Poster session presented at 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 presented at 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 session presented at The Childbrain Conference, Leuven, Belgium.

Delcoucq, L., Lecron, F., & Fortemps, P. (15 January 2019). Process Mining : resources clustering. Paper presented at 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 presented at 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 presented at 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 session presented at 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 presented at 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.
Peer Reviewed verified by ORBi

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (2018). Towards Sustainable Technologies for the Early Diagnosis of Mental Disorders in Children. Paper presented at 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 session presented at 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 session presented at 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 session presented at 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 session presented at 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
Peer Reviewed verified by ORBi

Itani, S., Lecron, F., & Fortemps, P. (02 February 2018). A Density-based Decision Tree for One-class Classification. Paper presented at 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
Peer Reviewed verified by ORBi

Itani, S., Rossignol, M., Lecron, F., & Fortemps, P. (13 October 2017). A Tree-Based Decision Support System For Attention Deficit Hyperactivity Disorder Diagnosis. Poster session presented at 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 presented at 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.
Peer reviewed

Mahmoudi, S., El Adoui, M., Belarbi, M. A., Larhmam, M., & Lecron, F. (2017). Cloud-based Platform for Computer Vision Applications. Paper presented at 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.
Peer reviewed

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 presented at 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.
Peer Reviewed verified by ORBi

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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 session presented at 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 presented at 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
Peer Reviewed verified by ORBi

Itani, S., Fortemps, P., & Lecron, F. (2016). Data Mining for Aiding Diagnosis of Attention Deficit Hyperactivity Disorder by a Multilevel Approach. Paper presented at 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.
Peer Reviewed verified by ORBi

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 presented at 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
Peer Reviewed verified by ORBi

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 presented at 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
Peer Reviewed verified by ORBi

Lecron, F. (12 September 2013). 3D model fitting on noisy 2D datasets. Paper presented at 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. Paper presented at 42nd Annual Conference of the European Marketing Academy, Istanbul, Turkey.

Lecron, F. (17 April 2013). Statistical models of the spine with applications in medical image processing. Paper presented at 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 session presented at 7ième Matinée des Chercheurs, Mons, Belgium.

Lecron, F. (2013). Modélisations statistiques de la colonne vertébrale et applications. Unpublished doctoral thesis, Université de Mons.
Jury: Benjelloun, M. (Promotor), Libert, G., Boisvert, J., Debeir, O., De Vleeschouwer, C., Fortemps, P., Mahmoudi, S., & Benjelloun, M.

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 verified by ORBi

Mahmoudi, S., Lecron, F., Manneback, P., Benjelloun, M., & Mahmoudi, S. (2012). Efficient Exploitation of Heterogeneous Platforms for Vertebra Detection in X-Ray Images. Paper presented at 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.
Peer reviewed

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

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 presented at 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 presented at 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 session presented at 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
Peer Reviewed verified by 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 verified by 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 verified by 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 verified by ORBi

Lecron, F., Benjelloun, M., & Mahmoudi, S. (22 March 2011). Reconstruction 3D de la colonne vertébrale à partir de radiographies multi-planaires. Poster session presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 presented at 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 session presented at 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 session presented at 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 presented at Deuxième journée aladdin-grid'5000, inria lille nord europe, Lille, France.

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