L. Oukhellou

发表

Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris

Etienne Côme, Latifa Oukhellou, E. Côme, 2014, TIST.

Automatic inference of map attributes from mobile data

Alexandre M. Bayen, Jean-Patrick Lebacque, Etienne Côme, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

Understanding Passenger Patterns in Public Transit Through Smart Card and Socioeconomic Data: A case study in Rennes, France

E. Côme, L. Oukhellou, M. Mahrsi, 2014 .

Chapter 1 Mixture model estimation with soft labels

T. Denœux, E. Côme, L. Oukhellou, 2008 .

Dynamic clustering and modeling of temporal data subject to common regressive effects

L. Oukhellou, A. Samé, Louise Bonfils, 2022, Neurocomputing.

The dynamic multifractality in PEMFC stack voltage signal as a tool for the aging monitoring

D. Candusso, F. Harel, L. Oukhellou, 2017 .

Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints

T. Denœux, E. Côme, L. Oukhellou, 2011, Pattern Analysis and Applications.

Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis

Thierry Denoeux, Zohra Leila Cherfi, Latifa Oukhellou, 2012, Soft Comput..

Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models

Allou Samé, Nicolas Cheifetz, Latifa Oukhellou, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis

Zohra Leila Cherfi, Patrice Aknin, Etienne Côme, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network

Romain Billot, Nour-Eddin El Faouzi, Etienne Côme, 2015, IEEE Transactions on Intelligent Transportation Systems.

Physical Human Activity Recognition Using Wearable Sensors

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2015, Sensors.

Detection of cleaning interventions on photovoltaic modules with machine learning

Bernard Multon, Latifa Oukhellou, Matthias Heinrich, 2020, Applied Energy.

An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2013, IEEE Transactions on Automation Science and Engineering.

Analyzing year-to-year changes in public transport passenger behaviour using smart card data

Etienne Côme, Latifa Oukhellou, Martin Trépanier, 2017 .

WSNs deployment framework based on the theory of belief functions

Abdelhamid Mellouk, Amar Aissani, Mustapha Réda Senouci, 2015, Comput. Networks.

Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks

Abdelhamid Mellouk, Amar Aissani, Mustapha Réda Senouci, 2012, Belief Functions.

Joint segmentation of multivariate time series with hidden process regression for human activity recognition

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2013, Neurocomputing.

Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints

Thierry Denoeux, Patrice Aknin, Etienne Côme, 2011, Pattern Analysis and Applications.

Semi-supervised Feature Extraction Using Independent Factor Analysis

Thierry Denoeux, Patrice Aknin, Etienne Côme, 2010, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression

Mohamad Khalil, Yacine Amirat, Samer Mohammed, 2018, IEEE Transactions on Automation Science and Engineering.

Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time

Patrice Aknin, Daniel Hissel, Latifa Oukhellou, 2011 .

Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches

Latifa Oukhellou, Abderrahmane Boubezoul, Ferhat Attal, 2018, IEEE Transactions on Intelligent Transportation Systems.

Image Inpainting and Deep Learning to Forecast Short-Term Train Loads

Etienne Côme, Latifa Oukhellou, Mostafa Ameli, 2021, IEEE Access.

A Dedicated Mixture Model for Clustering Smart Meter Data: Identification and Analysis of Electricity Consumption Behaviors

Latifa Oukhellou, Allou Same, Fateh Nassim Melzi, 2017 .

Multifractal Analysis of Stack Voltage Based on Wavelet Leaders: A New Tool for PEMFC Diagnosis

Denis Candusso, Latifa Oukhellou, Fabien Harel, 2017 .

Dynamic clustering and modeling of temporal data subject to common regressive effects

Allou Samé, Latifa Oukhellou, Louise Bonfils, 2022, ESANN.

Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework

Stéphane Espié, Latifa Oukhellou, Abderrahmane Boubezoul, 2015, IEEE Transactions on Intelligent Transportation Systems.

Learning from partially supervised data using mixture models and belief functions

Thierry Denoeux, Patrice Aknin, Etienne Côme, 2009, Pattern Recognit..

Combined use of sensor data and structural knowledge processed by Bayesian network: Application to a railway diagnosis aid scheme

Etienne Côme, Latifa Oukhellou, Laurent Bouillaut, 2008 .

Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis

Yacine Amirat, Samer Mohammed, Latifa Oukhellou, 2019, Sensors.

PEMFC stack voltage singularity measurement and fault classification

Latifa Oukhellou, Djedjiga Benouioua, Denis Candusso, 2014 .

Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms

Allou Samé, Mohamed-Haykel Zayani, Amira Ben Hamida, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Estimation of fuel cell operating time for predictive maintenance strategies

Patrice Aknin, Daniel Hissel, Latifa Oukhellou, 2010 .

Fuel cell diagnosis method based on multifractal analysis of stack voltage signal

Fabien Harel, Denis Candusso, Latifa Oukhellou, 2014 .

Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub

E. Côme, L. Oukhellou, A. Samé, 2023, Advances in Data Analysis and Classification.

Spatio-temporal Analysis of Dynamic Origin-Destination Data Using Latent Dirichlet Allocation: Application to Vélib' Bike Sharing System of Paris

Patrice Aknin, Etienne Côme, Latifa Oukhellou, 2014 .

Hourly Solar Irradiance Forecasting Based on Machine Learning Models

Allou Samé, Latifa Oukhellou, Fateh Nassim Melzi, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Floating train data systems for preventive maintenance: A data mining approach

Patrice Aknin, Latifa Oukhellou, Wissam Sammouri, 2013, Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM).

Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework

Patrice Aknin, Etienne Côme, Latifa Oukhellou, 2013, ICDM.

Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories

Cindie Andrieu, Fabrice Rossi, Etienne Côme, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

From energy behaviours to lifestyles: contribution of behavioural archetypes to the description of energy consumption patterns in the residential sector

L. Oukhellou, M. Ruellan, A. Same, 2022, Energy and Buildings.

Short-Term Multi-Step Ahead Forecasting of Railway Passenger Flows During Special Events With Machine Learning Methods

Latifa Oukhellou, Martin Trépanier, Etienne Come, 2018 .

Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks

Latifa Oukhellou, Mohamed Khalil El Mahrsi, Etienne Côme, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Short & long term forecasting of multimodal transport passenger flows with machine learning methods

Etienne Côme, Latifa Oukhellou, Martin Trépanier, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Forecasting passenger flows and headway at train level for a public transport line: Focus on atypical situations

E. Côme, L. Oukhellou, Mostafa Ameli, 2023, Transportation Research Part C: Emerging Technologies.

Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences

Nicolas Cheifetz, Latifa Oukhellou, Olivier Chesneau, 2019, ACM Trans. Intell. Syst. Technol..

Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot

L. Oukhellou, Y. Amirat, S. Mohammed, 2022, IEEE-RAS International Conference on Humanoid Robots.

What insights can we draw from our residential energy models?: guidelines for future modelling exercises

L. Oukhellou, Matthias Heinrich, J. Lévy, 2022, BuildSys@SenSys.

Fusion-based surveillance WSN deployment using Dempster-Shafer theory

Abdelhamid Mellouk, Nadjib Aitsaadi, Mustapha Réda Senouci, 2016, J. Netw. Comput. Appl..

Contextual anomaly detection on time series: a case study of metro ridership analysis

Allou Samé, Latifa Oukhellou, Martin Trépanier, 2021, Neural Computing and Applications.

LSTM Encoder-Predictor for Short-Term Train Load Forecasting

Latifa Oukhellou, Fabrice Ganansia, Mostepha Khouadjia, 2019, ECML/PKDD.

Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context

Patrice Aknin, Daniel Hissel, Faicel Chamroukhi, 2009, 2009 International Conference on Machine Learning and Applications.

Mixture Model Estimation with Soft Labels

Thierry Denoeux, Patrice Aknin, Etienne Côme, 2008, SMPS.

Belief functions in telecommunications and network technologies: an overview

Abdelhamid Mellouk, Mustapha Réda Senouci, Latifa Oukhellou, 2014, Ann. des Télécommunications.

Belief functions in telecommunications and network technologies: an overview

Mustapha Réda Senouci, A. Mellouk, L. Oukhellou, 2014, Annales des télécommunications.

An Evidence-Based Sensor Coverage Model

Abdelhamid Mellouk, Amar Aissani, Mustapha Réda Senouci, 2012, IEEE Communications Letters.

Activity recognition using hidden Markov models

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2011, IEEE/RJS International Conference on Intelligent RObots and Systems.

Activity recognition using body mounted sensors: An unsupervised learning based approach

Yacine Amirat, Samer Mohammed, Latifa Oukhellou, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Uncertainty-Aware Sensor Network Deployment

Abdelhamid Mellouk, Amar Aissani, Mustapha Réda Senouci, 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

Efficient uncertainty-aware deployment algorithms for wireless sensor networks

Abdelhamid Mellouk, Amar Aissani, Mustapha Réda Senouci, 2012, WCNC.

The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts

Stéphane Espié, Nicolas Cheifetz, Latifa Oukhellou, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Recognition of gait cycle phases using wearable sensors

Allou Samé, Kyoungchul Kong, Yacine Amirat, 2016, Robotics Auton. Syst..

Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis

Thierry Denoeux, Patrice Aknin, Etienne Côme, 2009, ICANN.

Partially-supervised learning in Independent Factor Analysis

E. Côme, L. Oukhellou, P. Aknin, 2009, ESANN.

Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models

Gérard Govaert, Etienne Côme, Latifa Oukhellou, 2014, Neurocomputing.

A mixture model clustering approach for temporal passenger pattern characterization in public transport

E. Côme, L. Oukhellou, M. Mahrsi, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches

L. Oukhellou, S. Espié, S. Bouaziz, 2023, IEEE Transactions on Intelligent Transportation Systems.