Latifa Oukhellou
Orcid: 0000-0002-5193-1732
According to our database1,
Latifa Oukhellou
authored at least 76 papers
between 1998 and 2023.
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Bibliography
2023
A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving.
IEEE Trans. Intell. Veh., December, 2023
Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches.
IEEE Trans. Intell. Transp. Syst., March, 2023
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Contextual anomaly detection on time series: a case study of metro ridership analysis.
Neural Comput. Appl., 2022
Dynamic clustering and modeling of temporal data subject to common regressive effects.
Neurocomputing, 2022
What insights can we draw from our residential energy models?: guidelines for future modelling exercises.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022
Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022
2021
Online common change-point detection in a set of nonstationary categorical time series.
Neurocomputing, 2021
IEEE Access, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices.
Sensors, 2020
Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences.
ACM Trans. Intell. Syst. Technol., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2018
Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches.
IEEE Trans. Intell. Transp. Syst., 2018
Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression.
IEEE Trans Autom. Sci. Eng., 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
IEEE Trans. Intell. Transp. Syst., 2017
Short & long term forecasting of multimodal transport passenger flows with machine learning methods.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
J. Netw. Comput. Appl., 2016
A mixture model clustering approach for temporal passenger pattern characterization in public transport.
Int. J. Data Sci. Anal., 2016
Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
IEEE Trans. Intell. Transp. Syst., 2015
IEEE Trans. Intell. Transp. Syst., 2015
Comput. Networks, 2015
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves.
Proceedings of the Complex Systems Design & Management, 2015
2014
Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris.
ACM Trans. Intell. Syst. Technol., 2014
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models.
Neurocomputing, 2014
Ann. des Télécommunications, 2014
Ann. des Télécommunications, 2014
Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
2013
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression.
IEEE Trans Autom. Sci. Eng., 2013
Joint segmentation of multivariate time series with hidden process regression for human activity recognition.
Neurocomputing, 2013
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time.
CoRR, 2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis.
Soft Comput., 2012
Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints.
Pattern Anal. Appl., 2012
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012
Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012
Activity recognition using body mounted sensors: An unsupervised learning based approach.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
2011
Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device.
Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the Global Communications Conference, 2011
2010
Eng. Appl. Artif. Intell., 2010
2009
Pattern Recognit., 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the 17th European Signal Processing Conference, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
2007
2006
Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system.
Proceedings of the 9th International Conference on Information Fusion, 2006
2004
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
2001
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context.
Proceedings of the Connectionist Models of Neurons, 2001
1999
Hybrid training of radial basis function networks in a partitioning context of classification.
Neurocomputing, 1999
1998
A new decision criterion for feature selection application to the classification of non destructive testing signatures.
Proceedings of the 9th European Signal Processing Conference, 1998