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Latifa Oukhellou
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2020 – today
- 2024
- [j33]Paul de Nailly
, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia:
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. Adv. Data Anal. Classif. 18(2): 455-491 (2024) - [i5]Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou:
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR abs/2402.12392 (2024) - 2023
- [j32]Mohamed Diop, Abderrahmane Boubezoul
, Latifa Oukhellou, Stéphane Espié, Samir Bouaziz:
Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches. IEEE Trans. Intell. Transp. Syst. 24(3): 3407-3421 (2023) - [j31]Jing Yang
, Qinghua Ni
, Guiyang Luo
, Qi Cheng
, Latifa Oukhellou
, Shuangshuang Han
:
A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving. IEEE Trans. Intell. Veh. 8(12): 4678-4681 (2023) - [c44]Hugues Moreau
, Etienne Côme, Allou Samé, Latifa Oukhellou:
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) 2023: 1259-1268 - 2022
- [j30]Louise Bonfils, Allou Samé, Latifa Oukhellou
:
Dynamic clustering and modeling of temporal data subject to common regressive effects. Neurocomputing 500: 217-230 (2022) - [j29]Kevin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier
, Latifa Oukhellou
:
Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Comput. Appl. 34(2): 1483-1507 (2022) - [c43]Huiseok Moon
, Abderrahmane Boubezoul, Latifa Oukhellou, Yacine Amirat, Samer Mohammed:
Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot. Humanoids 2022: 809-814 - [c42]Matthias Heinrich, Marie Ruellan, Jean-Pierre Lévy, Allou Samé, Latifa Oukhellou:
What insights can we draw from our residential energy models?: guidelines for future modelling exercises. BuildSys@SenSys 2022: 315-319 - 2021
- [j28]Thomas Bapaume
, Etienne Côme, Jérémy Roos
, Mostafa Ameli
, Latifa Oukhellou
:
Image Inpainting and Deep Learning to Forecast Short-Term Train Loads. IEEE Access 9: 98506-98522 (2021) - [j27]Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou
, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim:
Online common change-point detection in a set of nonstationary categorical time series. Neurocomputing 439: 176-196 (2021) - [c41]Louise Bonfils, Allou Samé, Latifa Oukhellou
:
Dynamic clustering and modeling of temporal data subject to common regressive effects. ESANN 2021 - [c40]Etienne Côme, Latifa Oukhellou
, Allou Samé, Lijun Sun:
Machine learning and data mining for urban mobility intelligence. ESANN 2021 - [c39]Benoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou
, Nour-Eddin El Faouzi:
A Lightweight Approach for Origin-Destination Matrix Anonymization. ESANN 2021 - 2020
- [j26]Mohamed Diop
, Abderrahmane Boubezoul
, Latifa Oukhellou
, Stéphane Espié
:
Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices. Sensors 20(22): 6696 (2020) - [c38]Milad Leyli-Abadi, Abderrahmane Boubezoul, Latifa Oukhellou
:
Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network. ITSC 2020: 1-7 - [i4]Florian Toqué, Etienne Côme, Martin Trépanier, Latifa Oukhellou:
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. CoRR abs/2008.09842 (2020)
2010 – 2019
- 2019
- [j25]Nicolas Khoury, Ferhat Attal
, Yacine Amirat, Latifa Oukhellou
, Samer Mohammed:
Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis. Sensors 19(2): 242 (2019) - [j24]Milad Leyli-Abadi
, Allou Samé, Latifa Oukhellou
, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau:
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. ACM Trans. Intell. Syst. Technol. 10(6): 71:1-71:21 (2019) - [c37]Kevin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou
:
LSTM Encoder-Predictor for Short-Term Train Load Forecasting. ECML/PKDD (3) 2019: 535-551 - 2018
- [j23]Khaled Safi, Samer Mohammed, Ferhat Attal, Yacine Amirat, Latifa Oukhellou
, Mohamad Khalil
, Jean-Michel Gracies, Emilie Hutin:
Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. 15(2): 545-555 (2018) - [j22]Ferhat Attal
, Abderrahmane Boubezoul
, Allou Samé, Latifa Oukhellou
, Stéphane Espié
:
Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. IEEE Trans. Intell. Transp. Syst. 19(12): 4011-4022 (2018) - [c36]Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou
, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau:
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IJCNN 2018: 1-8 - [c35]Mohamed Khalil El Mahrsi, Cindie Andrieu, Etienne Côme, Zakaria Bezza, Latifa Oukhellou
, Fabrice Rossi:
Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. ITSC 2018: 3879-3885 - 2017
- [j21]Mohamed Khalil El Mahrsi
, Etienne Côme, Latifa Oukhellou
, Michel Verleysen
:
Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst. 18(3): 712-728 (2017) - [c34]Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou
, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau:
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. DSAA 2017: 323-331 - [c33]Pierre Borgnat, Etienne Côme, Latifa Oukhellou:
Processing, mining and visualizing massive urban data. ESANN 2017 - [c32]Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier
, Latifa Oukhellou
:
Short & long term forecasting of multimodal transport passenger flows with machine learning methods. ITSC 2017: 560-566 - 2016
- [j20]Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
:
A mixture model clustering approach for temporal passenger pattern characterization in public transport. Int. J. Data Sci. Anal. 1(1): 37-50 (2016) - [j19]Mustapha Réda Senouci
, Abdelhamid Mellouk, Nadjib Aitsaadi, Latifa Oukhellou
:
Fusion-based surveillance WSN deployment using Dempster-Shafer theory. J. Netw. Comput. Appl. 64: 154-166 (2016) - [j18]Samer Mohammed, Allou Samé, Latifa Oukhellou
, Kyoungchul Kong, Weiguang Huo, Yacine Amirat:
Recognition of gait cycle phases using wearable sensors. Robotics Auton. Syst. 75: 50-59 (2016) - [c31]Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou:
Hourly Solar Irradiance Forecasting Based on Machine Learning Models. ICMLA 2016: 441-446 - [c30]Florian Toqué, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
:
Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks. ITSC 2016: 1071-1076 - 2015
- [j17]Mustapha Réda Senouci
, Abdelhamid Mellouk, Latifa Oukhellou
, Amar Aissani
:
WSNs deployment framework based on the theory of belief functions. Comput. Networks 88: 12-26 (2015) - [j16]Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi
, Latifa Oukhellou
, Yacine Amirat:
Physical Human Activity Recognition Using Wearable Sensors. Sensors 15(12): 31314-31338 (2015) - [j15]Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou
, Stéphane Espié
:
Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework. IEEE Trans. Intell. Transp. Syst. 16(1): 475-487 (2015) - [j14]Pierre-Antoine Laharotte, Romain Billot, Etienne Côme, Latifa Oukhellou
, Alfredo Nantes, Nour-Eddin El Faouzi:
Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network. IEEE Trans. Intell. Transp. Syst. 16(3): 1439-1448 (2015) - [c29]Fateh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, François Stephan, Allou Samé, Latifa Oukhellou
:
Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. CSDM 2015: 315 - [c28]Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
:
A mixture model clustering approach for temporal passenger pattern characterization in public transport. DSAA 2015: 1-10 - [c27]Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou:
Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. ESANN 2015 - [c26]Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Samé, Latifa Oukhellou:
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. ICMLA 2015: 1136-1141 - 2014
- [j13]Abdelhamid Mellouk, Latifa Oukhellou
, Lei Shu
, Glenn Shafer:
Belief functions and uncertainty management in networks and telecommunication. Ann. des Télécommunications 69(3-4): 131-133 (2014) - [j12]Mustapha Réda Senouci
, Abdelhamid Mellouk, Mohamed Abdelkrim Senouci, Latifa Oukhellou
:
Belief functions in telecommunications and network technologies: an overview. Ann. des Télécommunications 69(3-4): 135-145 (2014) - [j11]Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou
, Gérard Govaert:
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing 141: 124-138 (2014) - [j10]Etienne Côme, Latifa Oukhellou
:
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. 5(3): 39:1-39:21 (2014) - [c25]Wissam Sammouri, Etienne Côme, Latifa Oukhellou
, Patrice Aknin
, Charles-Eric Fonlladosa:
Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework. ITSC 2014: 918-923 - [c24]Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou
, Nicolas Cheifetz, Stéphane Espié:
The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts. ITSC 2014: 1280-1285 - 2013
- [j9]Faicel Chamroukhi
, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou
, Yacine Amirat:
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. Neurocomputing 120: 633-644 (2013) - [j8]Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi
, Latifa Oukhellou
, Yacine Amirat:
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. 10(3): 829-835 (2013) - [c23]Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert:
Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN 2013 - [c22]Wissam Sammouri, Etienne Côme, Latifa Oukhellou
, Patrice Aknin
:
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. ICDM 2013: 112-126 - [c21]Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou
, Stéphane Espié:
Riding patterns recognition for Powered two-wheelers users' behaviors analysis. ITSC 2013: 2033-2038 - [i3]Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat:
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. CoRR abs/1312.6956 (2013) - [i2]Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat:
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression. CoRR abs/1312.6965 (2013) - [i1]Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel:
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. CoRR abs/1312.7003 (2013) - 2012
- [j7]Mustapha Réda Senouci
, Abdelhamid Mellouk, Latifa Oukhellou
, Amar Aissani
:
An Evidence-Based Sensor Coverage Model. IEEE Commun. Lett. 16(9): 1462-1465 (2012) - [j6]Etienne Côme, Latifa Oukhellou
, Thierry Denoeux
, Patrice Aknin
:
Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. 15(3): 313-326 (2012) - [j5]Zohra Leila Cherfi, Latifa Oukhellou
, Etienne Côme, Thierry Denoeux
, Patrice Aknin
:
Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Comput. 16(5): 741-754 (2012) - [c20]Mustapha Réda Senouci
, Abdelhamid Mellouk, Latifa Oukhellou
, Amar Aissani
:
Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks. Belief Functions 2012: 425-432 - [c19]Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat:
Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. ESANN 2012 - [c18]Dorra Trabelsi, Samer Mohammed, Yacine Amirat, Latifa Oukhellou
:
Activity recognition using body mounted sensors: An unsupervised learning based approach. IJCNN 2012: 1-7 - [c17]Wissam Sammouri, Etienne Côme, Latifa Oukhellou
, Patrice Aknin
, Charles-Eric Fonlladosa, Kevin Prendergast:
Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework. ITSC 2012: 1351-1356 - [c16]Aude Hofleitner, Etienne Côme, Latifa Oukhellou
, Jean-Patrick Lebacque, Alexandre M. Bayen:
Automatic inference of map attributes from mobile data. ITSC 2012: 1687-1692 - [c15]Mustapha Réda Senouci
, Abdelhamid Mellouk, Latifa Oukhellou
, Amar Aissani:
Efficient uncertainty-aware deployment algorithms for wireless sensor networks. WCNC 2012: 2163-2167 - 2011
- [c14]Mustapha Réda Senouci
, Abdelhamid Mellouk, Latifa Oukhellou
, Amar Aissani
:
Uncertainty-Aware Sensor Network Deployment. GLOBECOM 2011: 1-5 - [c13]Latifa Oukhellou
, Etienne Côme, Patrice Aknin
, Thierry Denoeux
:
Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) 2011: 330-333 - [c12]Zohra Leila Cherfi, Latifa Oukhellou
, Etienne Côme, Thierry Denoeux
, Patrice Aknin
:
Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA 2011: 213-220 - 2010
- [j4]Latifa Oukhellou
, Alexandra Debiolles, Thierry Denoeux
, Patrice Aknin
:
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Eng. Appl. Artif. Intell. 23(1): 117-128 (2010)
2000 – 2009
- 2009
- [j3]Etienne Côme, Latifa Oukhellou
, Thierry Denoeux
, Patrice Aknin
:
Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. 42(3): 334-348 (2009) - [c11]Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux:
Partially-supervised learning in Independent Factor Analysis. ESANN 2009 - [c10]Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin:
Railway device diagnosis using sparse Independent Component Analysis. EUSIPCO 2009: 2042-2046 - [c9]Etienne Côme, Latifa Oukhellou
, Thierry Denoeux
, Patrice Aknin
:
Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. ICANN (2) 2009: 416-425 - [c8]Raissa Onanena, Faicel Chamroukhi
, Latifa Oukhellou
, Denis Candusso
, Patrice Aknin
, Daniel Hissel
:
Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. ICMLA 2009: 632-637 - 2008
- [c7]Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou
, Patrice Aknin
:
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. ICMLA 2008: 415-420 - [c6]Etienne Côme, Latifa Oukhellou
, Thierry Denoeux
, Patrice Aknin
:
Mixture Model Estimation with Soft Labels. SMPS 2008: 165-174 - 2007
- [j2]Allou Samé, Latifa Oukhellou
, Etienne Côme, Patrice Aknin
:
Mixture-model-based signal denoising. Adv. Data Anal. Classif. 1(1): 39-51 (2007) - 2006
- [c5]Alexandra Debiolles, Latifa Oukhellou
, Thierry Denoeux
, Patrice Aknin
:
Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. FUSION 2006: 1-6 - [c4]Latifa Oukhellou, Patrice Aknin, Éric Deléchelle:
Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. ICASSP (3) 2006: 1164-1167 - 2004
- [c3]Alexandra Debiolles, Latifa Oukhellou
, Patrice Aknin
:
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. ICPR (4) 2004: 573-576 - 2001
- [c2]Françoise Fessant, Patrice Aknin, Latifa Oukhellou
, Sophie Midenet:
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. IWANN (1) 2001: 637-644
1990 – 1999
- 1999
- [j1]Latifa Oukhellou
, Patrice Aknin
:
Hybrid training of radial basis function networks in a partitioning context of classification. Neurocomputing 28(1-3): 165-175 (1999) - 1998
- [c1]Latifa Oukhellou, Patrice Aknin, Hervé Stoppiglia, Gérard Dreyfus:
A new decision criterion for feature selection application to the classification of non destructive testing signatures. EUSIPCO 1998: 1-4
Coauthor Index
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