| Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas E Epaillard, N Bouguila Pattern Recognition 55, 125-136, 2016 | 68 | 2016 |
| Variational Bayesian learning of generalized Dirichlet-based hidden Markov models applied to unusual events detection E Epaillard, N Bouguila IEEE transactions on neural networks and learning systems 30 (4), 1034-1047, 2018 | 64 | 2018 |
| Data-free metrics for dirichlet and generalized dirichlet mixture-based hmms–a practical study E Epaillard, N Bouguila Pattern Recognition 85, 207-219, 2019 | 26 | 2019 |
| Hidden Markov models based on generalized Dirichlet mixtures for proportional data modeling E Epaillard, N Bouguila Artificial Neural Networks in Pattern Recognition: 6th IAPR TC 3 …, 2014 | 20 | 2014 |
| Classifying textures with only 10 visual-words using hidden Markov models with Dirichlet mixtures E Epaillard, N Bouguila, D Ziou Adaptive and Intelligent Systems: Third International Conference, ICAIS 2014 …, 2014 | 12 | 2014 |
| SMOS-NEXT: A new concept for soil moisture retrieval from passive interferometric observations Y Soldo, F Cabot, B Rougé, YH Kerr, A Al Bitar, E Epaillard European Astronomical Society Publications Series 59, 203-212, 2013 | 11 | 2013 |
| Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling E Epaillard, N Bouguila 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP …, 2015 | 7 | 2015 |
| Modeling and forecasting time series of compositional data: A generalized dirichlet power steady model M Mehdi, E Epaillard, N Bouguila, J Bentahar Scalable Uncertainty Management: 9th International Conference, SUM 2015 …, 2015 | 5 | 2015 |
| Non-Gaussian data modeling with hidden Markov models E Epaillard Concordia University, 2017 | | 2017 |
