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Ghazaleh Khodabandelou
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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
1972019
Process mining versus Intention mining
G Khodabandelou, C Hug, R Deneckere, C Salinesi
Enterprise, Business-Process and Information Systems Modeling, 466-480, 2013
592013
Population Estimation from Mobile Network Traffic Metadata
G Khodabandelou, V Gauthier, M El-Yacoubi, M Fiore
552016
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
472013
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
422014
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
412018
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
362020
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
342023
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
332020
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
292014
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
252017
Genome Annotation Across Species using Deep Convolutional Neural Networks
G Khodabandelou, E Routhier, J Mozziconacci
Journal of PeerJ, 2020
23*2020
Fuzzy Neural Network with Support Vector-based Learning for Classification and Regression
G Khodabandelou, M Ebadzadeh
Journal of Soft Computing, 2019
232019
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
212018
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
212014
Contextual recommendations using intention mining on process traces: Doctoral consortium paper
G Khodabandelou
IEEE 7th International Conference on Research Challenges in Information …, 2013
212013
A novel approach to process mining: Intentional process models discovery
G Khodabandelou, C Hug, C Salinesi
192014
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
18*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
17*2020
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
152020
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