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Luc Adjengue
B.Sc. (Yaoundé), M.Sc., Ph.D. (Montréal).
  Publications
Associate Professor
Department of Mathematical and Industrial Engineering
Phone: (514) 340-4711 Ext. 4475 Fax: (514) 340-4086 Room: A-520.33
Areas of expertise
Time series analysis Applied statistics Parametric inference Multivariate analysis

Research interests and affiliations

Research interests

  • Statistical parametric inference

  • Time series; Spatial processes

  • Applied statisics; Multidimensional analysis

  • Statistical pattern recognition

  • Statistical Learning

Affiliation(s)
Expertise type(s) (NSERC subjects)
  • 3002 Time series analysis
  • 3004 Applied statistics
  • 3009 Parametric inference
  • 3011 Multivariate analysis

Publications

Recent publications
Conference paper
Mirshahi, M., Partovi Nia, V. & Adjengue, L. (2017). An online data validation algorithm for electronic nose. Paper presented at the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy (pp. 104-120). Retrieved from https://doi.org/10.1007/978-3-319-53375-9_6
Conference paper
Mirshahi, M., Nia, V.P. & Adjengue, L. (2016). Statistical measurement validation with application to electronic nose technology. Paper presented at the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy (pp. 407-414). Retrieved from https://doi.org/10.5220/0005628204070414
Journal article
Adjengue, L., Audet, C. & Ben Yahia, I. (2014). A variance-based method to rank input variables of the Mesh Adaptive Direct Search algorithm. Optimization Letters, 8(5), 1599-1610. Retrieved from https://doi.org/10.1007/s11590-013-0688-4
See all publications (10)

Teaching

- MTH2302B Pobablity and Statistics

- MTH2312 Advanced Statistical Methods

- MTH6305A Statistical Pattern Recognition

- MTH6306 Statistical Analysis of Times Series

- MTH6312 Statistical Learning Methods

Supervision at Polytechnique

COMPLETED

  • Master's Thesis (10)

    • Devaux, V. (2022). Modèles prédictifs de l'état final des devis de vente dans une grande entreprise de télécommunications (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/10268/
    • Paredes Seminario, J.A. (2020). Multi-criteria Analysis of Internal Cross-docking Operations (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/5405/
    • Sanni, F. (2017). Modèle de prévision des taux de clics des annonces textuelles sur les moteurs de recherche (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2725/
    • Vahidpour, M. (2016). Cure rate models (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2454/
    • Assari, C. (2014). Classification de mots-clés des campagnes publicitaires sur les moteurs de recherche et calcul de prévisions (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1509
    • Ben Yahia, I. (2012). Identification statistique de variables importantes pour l'optimisation de boîtes noires (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/938
    • Abbas Mahamat, A. (2011). Analyse de sensibilité dans un contexte de prévision du prix des métaux (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/599/
    • Orth, P. (2007). Simulation et analyse paramétrique de méthodes de prise de décision dans le cadre de la maintenance conditionnelle (Master's Thesis, École Polytechnique de Montréal).
    • Assadi, R. (2003). Modification d'un algorithme d'apprentissage pour réseaux de neurones appliqués à la couverture de surface (Master's Thesis, École Polytechnique de Montréal).
    • Khattar, K. (2003). Analyse mathématique du problème de la frontière bilinéaire appliqué aux réseaux de neurones (Master's Thesis, École Polytechnique de Montréal).