default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLatifa Oukhellou
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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)- [e1]Stephan Winter, Monika Sester, Latifa Oukhellou:
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Sustainable Urban Mobility, SUMob 2024, Atlanta, GA, USA, 29 October 2024- 1 November 2024. ACM 2024, ISBN 979-8-4007-1155-8 [contents] - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-05 21:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
