Publications

JOURNAUX SCIENTIFIQUES AVEC COMITÉ DE PAIRS


  1. Maitre, J., Bouchard, K., & Gaboury, S. (2020). Fall Detection with UWB Radars and CNN-LSTM ArchitectureIEEE Journal of Biomedical and Health Informatrics. (IF – 5.223)
  2. Maitre, J., Bouchard, K., Bertuglia, C.*, & Gaboury, S. (2020). Recognizing Activities of Daily Living from UWB Radars and Deep LearningExpert Systems with Applications, 113994. (IF – 5.452)
  3. Maitre, J., Bouchard, K., & Bédard, L. P. (2019). Mineral grains recognition using computer vision and machine learning. Computers & Geosciences, 130, 84-93. (IF – 2.991)
  4. Maitre, J., Bouzouane, A., & Gaboury, S. (2018). A Hierarchical Approach for the Recognition of Induction Machine Failures. Journal of Control, Automation and Electrical Systems, 29(1), 44-61. (IF – 1.300)
  5. Maitre, J., Bouchard, B., Bouzouane, A., & Gaboury, S., (2017). Classification Algorithms Comparison for Interturn Short-Circuit Recognition in Induction Machines Using Best-Fit 3-D-Ellipse Method. In Canadian Journal of Electrical and Computer Engineering, vol. 40, no. 4, (pp. 255-265). IEEE. (IF – 1.530)
  6. Maitre, J., Gaboury, S., Bouchard, B., & Bouzouane, A. (2015). A Black-Box Model for Estimation of the Induction Machine Parameters Based on Stochastic Algorithms. International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), 3(3), 44-67.

ARTICLES DE CONFÉRENCES AVEC COMITÉ DE PAIRS


  1. Bouchard, K., Gonzales, L.*, Maitre, J., & Gaboury, S. (2020, September). Features Exploration for Grades Prediction using Machine Learning. In Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 78-83).
  2. Maitre, J., Bouchard, K., & Gaboury, S. (2020, September). Classification models for data fusion in human activity recognition: alternative architectures. In Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 72-77).
  3. Bouchard, K., Maitre, J., Bertuglia, C.*, & Gaboury, S. (2020). Activity Recognition in Smart Homes using UWB RadarsProcedia Computer Science170, 10-17.
  4. Maitre, J., Hallé, S., Bouchard, K., & Gaboury, S. (2019, September). Electric Device Recognition and Recommendation in Real-Time Based on Complex Event Processing for Smart Homes. In Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 43-48). ACM.
  5. Maitre, J., Rendu, C.*, Bouchard, K., Bouchard, B., & Gaboury, S. (2019). Basic Daily Activity Recognition with a Data Glove. Procedia Computer Science, 151, 108-115.
  6. Maitre, J., Gaboury, S., Bouchard, B., & Bouzouane, A. (2016). New computational approach for inter-turn short circuit recognition in induction machines using currents analysis and multi-class support vector machine. In 2016 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)
  7. Maitre, J., Bouchard, B., Bouzouane, A., & Gaboury, S. (2015, November). 9 Parameters estimation of an extended induction machine model using genetic algorithms. In 2015 9th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 608-612). IEEE.
  8. Maitre, J., Gaboury, S., Bouchard, B., & Bouzouane, A. (2015, July). An effective identification of the induction machine parameters using a classic genetic algorithm, NSGA II and Theta-NSGA III. In Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on (pp. 1-6). IEEE.
  9. Maitre, J., Gaboury, S., Bouchard, B., & Bouzouane, A. (2015, May). A new computational method for stator faults recognition in induction machines based on hyper-volumes. In 2015 IEEE International Conference on Electro/Information Technology (EIT) (pp. 216-220). IEEE.
  10. Maitre, J., Glon, G.*, Gaboury, S., Bouchard, B., & Bouzouane, A. (2015, April). Efficient appliances recognition in smart homes based on active and reactive power, fast Fourier transform and decision trees. In Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence.