| 2023 | ICDM | A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. | Hugues Moreau, Etienne Cme, Allou Sam, Latifa Oukhellou |
| 2022 | SENSYS | What insights can we draw from our residential energy models?: guidelines for future modelling exercises. | Matthias Heinrich, Marie Ruellan, Jean-Pierre Lvy, Allou Sam, Latifa Oukhellou |
| 2021 | ESANN | Dynamic clustering and modeling of temporal data subject to common regressive effects. | Louise Bonfils, Allou Sam, Latifa Oukhellou |
| 2021 | ESANN | Machine learning and data mining for urban mobility intelligence. | Etienne Cme, Latifa Oukhellou, Allou Sam, Lijun Sun |
| 2021 | ESANN | A Lightweight Approach for Origin-Destination Matrix Anonymization. | Benoit Matet, Etienne Cme, Angelo Furno, Loc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi |
| 2018 | IJCNN | Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. | Milad Leyli-Abadi, Allou Sam, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cdric Fliers, Olivier Chesneau |
| 2017 | DSAA | Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. | Milad Leyli-Abadi, Allou Sam, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cdric Fliers, Olivier Chesneau |
| 2017 | ESANN | Processing, mining and visualizing massive urban data. | Pierre Borgnat, Etienne Cme, Latifa Oukhellou |
| 2016 | ICMLA | Hourly Solar Irradiance Forecasting Based on Machine Learning Models. | Fateh Nassim Melzi, Taieb Touati, Allou Sam, Latifa Oukhellou |
| 2015 | DSAA | A mixture model clustering approach for temporal passenger pattern characterization in public transport. | Anne-Sarah Briand, Etienne Cme, Mohamed Khalil El Mahrsi, Latifa Oukhellou |
| 2015 | ESANN | Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. | Ferhat Attal, Abderrahmane Boubezoul, Allou Sam, Latifa Oukhellou |
| 2015 | ICMLA | Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. | Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Sam, Latifa Oukhellou |
| 2013 | ESANN | Clustering the Vlib' origin-destinations flows by means of Poisson mixture models. | Andry Njato Randriamanamihaga, Etienne Cme, Latifa Oukhellou, Grard Govaert |
| 2012 | ESANN | Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. | Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat |
| 2012 | IJCNN | Activity recognition using body mounted sensors: An unsupervised learning based approach. | Dorra Trabelsi, Samer Mohammed, Yacine Amirat, Latifa Oukhellou |
| 2012 | WCNC | Efficient uncertainty-aware deployment algorithms for wireless sensor networks. | Mustapha Rda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani |
| 2011 | GLOBECOM | Uncertainty-Aware Sensor Network Deployment. | Mustapha Rda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani |
| 2011 | ICMLA | Semi-supervised Feature Extraction Using Independent Factor Analysis. | Latifa Oukhellou, Etienne Cme, Patrice Aknin, Thierry Denoeux |
| 2009 | ESANN | Partially-supervised learning in Independent Factor Analysis. | Etienne Cme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux |
| 2009 | ICANN | Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. | Etienne Cme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin |
| 2009 | ICMLA | Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. | Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel |
| 2008 | ICMLA | Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. | Etienne Cme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin |
| 2006 | FUSION | Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. | Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin |
| 2006 | ICASSP | Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. | Latifa Oukhellou, Patrice Aknin, ric Delchelle |
| 2004 | ICPR | Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. | Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin |
| 2001 | IWANN | Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. | Franoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet |