Suivre
Ghazaleh Khodabandelou
Ghazaleh Khodabandelou
Researcher - University of Paris 12
Adresse e-mail validée de malix.univ-paris1.fr - Page d'accueil
Titre
Citée par
Citée par
Année
Inferring Dynamic Origin-Destination Flows by Transport Mode using Mobile Phone Data
D Bachir, G Khodabandelou, V Gauthier, M EL YACOUBI, J Puchinger
Elsevier Journal of Transportation Research Part C, 2019
1362019
Process mining versus Intention mining
G Khodabandelou, C Hug, R Deneckere, C Salinesi
Enterprise, Business-Process and Information Systems Modeling, 466-480, 2013
462013
Population Estimation from Mobile Network Traffic Metadata
G Khodabandelou, V Gauthier, M El-Yacoubi, M Fiore
432016
Supervised intentional process models discovery using hidden markov models
G Khodabandelou, C Hug, R Deneckere, C Salinesi
IEEE 7th International Conference on Research Challenges in Information …, 2013
422013
Unsupervised discovery of intentional process models from event logs
G Khodabandelou, C Hug, R Deneckère, C Salinesi
Proceedings of the 11th Working Conference on Mining Software Repositories …, 2014
372014
Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata
G Khodabandelou, V Gauthier, M El Yacoubi, M Fiore
Journal IEEE Transactions on Mobile Computing, http://doi …, 2018
262018
Supervised vs. unsupervised learning for intentional process model discovery
G Khodabandelou, C Hug, R Deneckere, C Salinesi
Enterprise, Business-Process and Information Systems Modeling: 15th …, 2014
242014
Intentional process mining: discovering and modeling the goals behind processes using supervised learning
R Deneckère, C Hug, G Khodabandelou, C Salinesi
International Journal of Information System Modeling and Design 5 (4), 22-47, 2014
222014
Link Traffic Speed Forecasting using Convolutional Attention-based Gated Recurrent Unit
G Khodabandelou, W Kheriji, F Hadj Selem
Applied Intelligence, 10.1007/s10489-020-02020-8, 2020
182020
Using Mobile Phone Data Analysis for the Estimation of Daily Urban Dynamics
D Bachir, V Gauthier, M El.Yacoubi, G Khodabandelou
IEEE Intelligent Transportation Systems Conference, 2017
182017
Fuzzy Neural Network with Support Vector-based Learning for Classification and Regression
G Khodabandelou, M Ebadzadeh
Journal of Soft Computing, 2019
172019
Contextual recommendations using intention mining on process traces: Doctoral consortium paper
G Khodabandelou
IEEE 7th International Conference on Research Challenges in Information …, 2013
172013
Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data
D Bachir, G Khodabandelou, V Gauthier, M El
ECML/PKDD, 2018
162018
A novel approach to process mining: Intentional process models discovery
G Khodabandelou, C Hug, C Salinesi
162014
Genome Annotation Across Species using Deep Convolutional Neural Networks
G Khodabandelou, E Routhier, J Mozziconacci
Journal of PeerJ, 2020
13*2020
Attention-Based Gated Recurrent Unit for Gesture Recognition
G Khodabandelou, PG Jung, Y Amirat, S Mohammed
IEEE Transactions on Automation Science and Engineering, 2020
122020
Mining users' intents from logs
G Khodabandelou, C Hug, C Salinesi
International Journal of Information System Modeling and Design (IJISMD) 6 …, 2015
122015
Distributed under Creative Commons CC-BY 4.0 Genome annotation across species using deep convolutional neural networks
G Khodabandelou, E Routhier, J Mozziconacci
Journal of PeerJ, 2020
10*2020
Mining Intentional Process Models
G Khodabandelou
University of Paris 1 Panthéon-Sorbonne, 2014
102014
Deep Multi-Task Learning for Individuals Origin-Destination Matrices Estimation from Census Data
M Katranji, G Khodabandelou, L Moalic, A Caminada, F Hadj Selem
Journal of Data Mining and Knowledge Discovery, 2020
92020
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20