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Hire Dr. Sohaib L.
Belgium
USD 50 /hr
Experienced mathematician/data scientist, specializing in ML, Deep Learning, Computer Vision
Profile Summary
Subject Matter Expertise
Services
Writing
Technical Writing,
Copywriting,
Newswriting
Research
Market Research,
User Research,
Feasibility Study,
Gap Analysis,
Gray Literature Search,
Systematic Literature Review
Consulting
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Algorithm Design-Non ML,
Data Visualization,
Data Processing,
Data Insights
Product Development
Formulation,
Product Evaluation,
Product Validation,
Concept Development
Work Experience
Postdoctroral Researcher
Numediart Institute, University of Mons
October 2020 - Present
Research Assistant
Université de Mons
January 2014 - Present
Education
PhD (Théories de Circuits et Traitement de Signal - TCTS)
Université de Mons
January 2014 - October 2020
Master (SIgnal Image Parole et Télécom - SIPT)
Institut Polytechnique de Grenoble
September 2012 - August 2013
École Nationale Polytechnique Département d'Electronique
September 2007 - July 2012
Certifications
- Certification details not provided.
Publications
CONFERENCE PAPER
Elias Ennadifi and Sohaib Laraba and Damien Vincke and Benoit Mercatoris and Bernard Gosselin(2020). Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization . 2020 International Conference on Intelligent Systems and Computer Vision (ISCV). {IEEE}
M. Mancas and S. Laraba and A. Bandrabur and P.-H. De Deken and K. Hagihara and N. Leblanc and S. B. Yengec Tasdemir and B. Macq and T. Dutoit(2018). People Groups Analysis for AR Applications . 2018 International Conference on 3D Immersion (IC3D). {IEEE}
A. Grammatikopoulou and S. Laraba and O. Sahbenderoglu and K. Dimitropoulos and N. Grammalidis(2017). An adaptive framework for the creation of bodymotion-based games . 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). {IEEE}
N. Grammalidis and K. Dimitropoulos and F. Tsalakanidou and A. Kitsikidis and P. Roussel and B. Denby and P. Chawah and L. Buchman and S. Dupont and S. Laraba and B. Picart and M. Tits and J. Tilmanne and S. Hadjidimitriou and L. Hadjileontiadis and V. Charisis and C. Volioti and A. Stergiaki and A. Manitsaris and O. Bouzos and S. Manitsaris(2016). The i-Treasures Intangible Cultural Heritage dataset . Proceedings of the 3rd International Symposium on Movement and Computing. {ACM}
Tilmanne, Jo{\"e}lle and d'Alessandro, Nicolas and Barborka, Petr and Bayansar, Furkan and Bernardo, Francisco and Fiebrink, Rebecca and Heloir, Alexis and Hemery, Edgar and Laraba, Sohaib and Moinet, Alexis and others(2016). Prototyping a New Audio-Visual Instrument Based on Extraction of High-Level Features on Full-Body Motion . Project reports of the 11th International Summer Workshop on Multimodal Interfaces (eNTERFACE'15).
DISSERTATION THESIS
{Sohaib Laraba}(2020). Deep Learning for Skeleton-Based Human Action Recognition . Unpublished. Unpublished
JOURNAL ARTICLE
A. Grammatikopoulou and S. Laraba and O. Sahbenderoglu and K. Dimitropoulos and S. Douka and N. Grammalidis(2019). An adaptive framework for the creation of exergames for intangible cultural heritage (ICH) education . Journal of Computers in Education. 6. (3). p. 417--450. Springer Science and Business Media {LLC}
Sophie Aubry and Sohaib Laraba and Joëlle Tilmanne and Thierry Dutoit(2019). Action recognition based on 2D skeletons extracted from RGB videos . MATEC Web of Conferences. 277. p. 02034. {EDP} Sciences
Mickaël Tits and Sohaïb Laraba and Eric Caulier and Joëlle Tilmanne and Thierry Dutoit(2018). UMONS-TAICHI: A multimodal motion capture dataset of expertise in Taijiquan gestures . Data in Brief. 19. p. 1214--1221. Elsevier {BV}
Sohaib Laraba and Mohammed Brahimi and Joëlle Tilmanne and Thierry Dutoit(2017). 3D skeleton-based action recognition by representing motion capture sequences as 2D-RGB images . Computer Animation and Virtual Worlds. 28. (3-4). p. e1782. Wiley
Sohaib Laraba and Joëlle Tilmanne(2016). Dance performance evaluation using hidden Markov models . Computer Animation and Virtual Worlds. 27. (3-4). p. 321--329. Wiley
Sohaib Laraba and Joëlle Tilmanne and Thierry Dutoit(2015). Adaptation procedure for HMM-based sensor-dependent gesture recognition . Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games. {ACM}
BOOK CHAPTER
Sohaib Laraba and Joëlle Tilmanne and Thierry Dutoit(2019). Leveraging Pre-trained CNN Models for Skeleton-Based Action Recognition . Lecture Notes in Computer Science. p. 612--626. Springer International Publishing
Mohammed Brahimi and Marko Arsenovic and Sohaib Laraba and Srdjan Sladojevic and Kamel Boukhalfa and Abdelouhab Moussaoui(2018). Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation . Human and Machine Learning. p. 93--117. Springer International Publishing
OTHER
Florentin, J., Laraba, S., Dutoit, T., & Verlinden, O. Recognition of woodpecker calls.
PREPRINT
(2018). Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces.