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Ghazaleh Khodabandelou
Ghazaleh Khodabandelou
Professor, Ph.D., HDR - University of Paris-Est
Verified email at u-pec.fr - Homepage
Title
Cited by
Cited by
Year
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
2212019
A fuzzy convolutional attention-based GRU network for human activity recognition
G Khodabandelou, H Moon, Y Amirat, S Mohammed
Engineering Applications of Artificial Intelligence, 2023
702023
Process mining versus Intention mining
G Khodabandelou, C Hug, R Deneckere, C Salinesi
Enterprise, Business-Process and Information Systems Modeling, 466-480, 2013
652013
Population Estimation from Mobile Network Traffic Metadata
G Khodabandelou, V Gauthier, M El-Yacoubi, M Fiore
592016
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
552018
Attention-Based Gated Recurrent Unit for Gesture Recognition
G Khodabandelou, PG Jung, Y Amirat, S Mohammed
IEEE Transactions on Automation Science and Engineering Journal, 2020
522020
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
512013
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
432014
Link Traffic Speed Forecasting using Convolutional Attention-based Gated Recurrent Unit
G Khodabandelou, W Kheriji, F Hadj Selem
Applied Intelligence Journal, 10.1007/s10489-020-02020-8, 2020
422020
Supervised vs. unsupervised learning for intentional process model discovery
G Khodabandelou, C Hug, R Deneckere, C Salinesi
International Workshop on Business Process Modeling, Development and Support …, 2014
312014
Semi-Supervised Generative Adversarial Networks with Temporal Convolutions for Human Activity Recognition
H Zilelioglu, G Khodabandelou, A Chibani, Y Amirat
IEEE Sensors, 2023
292023
Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning
M Dia, G Khodabandelou, A Qalid Md Sabri, A Othmani
Elsevier Biomedical Signal Processing and Control, 2024
272024
Genome Annotation Across Species using Deep Convolutional Neural Networks
G Khodabandelou, E Routhier, J Mozziconacci
Journal of PeerJ, 2020
27*2020
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
262017
Fuzzy Neural Network with Support Vector-based Learning for Classification and Regression
G Khodabandelou, M Ebadzadeh
Journal of Soft Computing, 2019
242019
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
232018
A novel approach to process mining: Intentional process models discovery
G Khodabandelou, C Hug, C Salinesi
232014
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
22*2020
Counter-examples generation from a positive unlabeled image dataset
F Chiaroni, G Khodabandelou, MC Rahal, N Hueber, F Dufaux
Journal of Pattern Recognition, 2020
222020
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
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Articles 1–20