(32) G. Khodabandelou et al., Procédé d'apprentissage de coefficients d'estimation de la population et procédé d'estimation de la population, Bouygues Télécom, ref. number: 1759705, L059, 2018.
Journal papers
(31) F Chiaroni, G Khodabandelou, MC Rahal, N Hueber, F Dufaux, Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification, Journal of Pattern Recognition (impact factor: 5.898 - Q1), 2019.
(30) G Khodabandelou, W Kheriji, F Hadj Selem, Links Traffic Speed Forecasting using Convolutional Attention-based Gated Recurrent Unit, Journal of Transportation Research Part C (impact factor: 5.775 - Q1), 2019.
(29) R Le Boennec, FH Selem, G Khodabandelou, Motorized individual mobility in commuting trips: modal preference or constrained mode choice? A machine learning approach.
(28) M Katranji, G Khodabandelou, L Moalic, A Caminada, F Hadj Selem, Deep Multi-Task Learning for Individuals Origin-Destination Matrices Estimation from Census Data, Journal of Data Mining and Knowledge Discovery (impact factor: 3.16 - Q1), 2019.
(27) W Kheriji, S Kraiem, G Sanmarty, G Khodabandelou, FH Selem, Prediction of Bus Passenger Flow using Deep Learning.
(26) G Khodabandelou, M Ebadzadeh, Fuzzy Neural Network with Support Vector-based Learning for Classification and Regression, Journal of Soft Computing (impact factor: 2.784 - Q1-Q2), 2019.
(25) D. Bachir, G. Khodabandelou, V. Gauthier, M. El.Yacoubi, J. Pouchinger, Transport Mode Inference from Active Mobile Phone Data: a Case Study of the Greater Paris Region, Transportation Research Part C (impact factor: 3.968 - Q1), 2019.
(24) G. Khodabandelou, E.Routhier, J. Mozziconacci, Genome Functional Annotation using Deep Convolutional Neural Networks, Scientific Reports - Nature (impact factor: 4.122 - Q1), 2018.
(23) G. Khodabandelou, G. Engels, A Software Recommender System using Deep Neural Networks, International Journal of Advances in Data Analysis and Classification (impact factor: 2.326 - Q1), 2018.
(22) G. Khodabandelou, V. Gauthier, M. Fiore, M. El Yacoubi, Estimating the Dynamic Density of Urban Populations with Mobile Network Metadata, IEEE Transactions on Mobile Computing (impact factor: 3.822 - Q1) , 2018.
(21) G. Khodabandelou, C. Hug, C. Salinesi, Mining Users’ Intents from Logs, International Journal of Information System Modeling and Design (impact factor: 1.41), 2015.
(20) R. Deneckère, C. Hug, G. Khodabandelou, C. Salinesi, Intention Mining: Process Model Discovery Using Supervised Learning, International Journal of Information System Modeling and Design (impact factor: 1.41), 2014.
Conference papers
(19) G Khodabandelou, M Katranji, W Kheriji, F Hadj Selem, Attention-based Gated Recurrent Unit for LinksTraffic Speed Forecasting,IEEE Intelligent Transportation Systems Conference, 2019.
(18) D. Bachir, G. Khodabandelou, V. Gauthier, M. EL-Yacoubi, Combining Bayesian Inference and Semi-supervised Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML/PKDD), 2018.
(17) D. Bachir, V. Gauthier, M. El Yacoubi, G. Khodabandelou, Using Mobile Phone Data Analysis for the Estimation of Daily Urban Dynamics, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017.
(16) G. Khodabandelou, V. Gauthier, M. Fiore, M. El Yacoubi, Estimation de la Population à partir des Metadata du Trafic du Réseau Mobile, Journée Nationale de l'Internet des Objets, 2016.
(15) G. Khodabandelou, V. Gauthier, M. Fiore, M. El Yacoubi, Population Estimation from Mobile Network Traffic Metadata, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2016.
(14) G. Khodabandelou, C. Hug, C. Salinesi, Toward an Automatic Tool for the Construction of Intentional Process Models from Event Log, IEEE International Conference on Research Challenges in Information Science (RCIS), 2014.
(13) C. Hug C., G. Khodabandelou, E. Epure, R. Deneckere, C. Salinesi, Intention Mining from logs to intentional process models, Quintas Jornadas de Ingenieria de Sistemas Informaticos y de Computacion, 2014.
(12) G. Khodabandelou, Mining Intentional Process Models, University of Paris 1 Panthéon-Sorbonne, June 2014.
(11) G. Khodabandelou, C. Hug, C. Salinesi, A Novel Approach to Process Mining: Intentional Process Models Discovery, IEEE International Conference on Research Challenges in Information Systems (RCIS), 2014.
(10) G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, Supervised vs. Unsupervised Learning for Intentional Process Models Discovery, International Conference on Advanced Information Systems Engineering (CAiSE), BPMDS, 2014.
(9) G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, Unsupervised Discovery of Intentional Process Model from Event Logs, International Conference on Software Engineering(ICSE), MSR, 2014.
(8) G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, Supervised Intentional Process Models Discovery Using Hidden Markov Models, IEEE International Conference on Research Challenges in Information Science (RCIS), 2013.
(7) G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, M. Bajec, E. Kornyshova, M. Jankovic, COTS Products to Trace Method Enactment: Review and Selection, European Conference on Information Systems (ECIS), 2013.
(6) G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, Process Mining versus Intention Mining, International Conference on Exploring Modelling Methods for Systems Analysis and Design (EMMSAD), 2013.
(5) G. Khodabandelou, Contextual Recommendations using Intention Mining on Process Traces, IEEE International Conference on Research Challenges in Information Science (RCIS), 2013.
(4) M. Jankovic, M. Bajec, G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, Intelligent Agile Method Framework, International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), 2013.
(3) G. Khodabandelou, C. Hug, R. Deneckère, C. Salinesi, Découverte Supervisée des Modèles de Processus Intentionnels Basée sur les Modèles de Markov Cachés, congrès INFORSID, 2013.
(2) A. MD, G. Khodabandelou, J. Lapuyade-Lahorgue, A Matlab Toolbox for Data Reduction, Visualization, Classification and Knowledge Extraction of Complex Biological Data, International Conference on Bioinformatics & Computational Biology (BIOCOMP’11), 2011.
(1) G. Khodabandelou, J. Lapuyade, A. D, Multivariate Data Analysis and Knowledge Extraction from Biological Data, INSERM, Journée Recherche et Santé en Rythmes Biologiques et Cancers, 2011.