Ghazaleh Khodabandelou
Ghazaleh Khodabandelou
University of Paris 12
Verified email at malix.univ-paris1.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
582019
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
332013
Population Estimation from Mobile Network Traffic Metadata
G Khodabandelou, V Gauthier, M El-Yacoubi, M Fiore
312016
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
312014
Process mining versus Intention mining
G Khodabandelou, C Hug, R Deneckere, C Salinesi
Enterprise, Business-Process and Information Systems Modeling, 466-480, 2013
312013
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
142014
Supervised vs. unsupervised learning for intentional process model discovery
G Khodabandelou, C Hug, R Deneckere, C Salinesi
Enterprise, Business-Process and Information Systems Modeling, 215-229, 2014
132014
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
122018
A novel approach to process mining: Intentional process models discovery
G Khodabandelou, C Hug, C Salinesi
122014
Mining users' intents from logs
G Khodabandelou, C Hug, C Salinesi
International Journal of Information System Modeling and Design (IJISMD) 6 …, 2015
102015
Contextual recommendations using intention mining on process traces: Doctoral consortium paper
G Khodabandelou
IEEE 7th International Conference on Research Challenges in Information …, 2013
102013
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
92018
Genome Annotation Across Species using Deep Convolutional Neural Networks
G Khodabandelou, E Routhier, J Mozziconacci
Journal of PeerJ, 2020
7*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
72017
Mining Intentional Process Models
G Khodabandelou
University of Paris 1 Panthéon-Sorbonne, 2014
72014
Fuzzy Neural Network with Support Vector-based Learning for Classification and Regression
G Khodabandelou, M Ebadzadeh
Journal of Soft Computing, 2019
62019
COTS Products to trace method enactment: Review and selection
G Khodabandelou, C Hug, R Deneckere, C Salinesi, M Bajec, ...
52013
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
3*2020
Attention-based Gated Recurrent Unit for LinksTraffic Speed Forecasting
G Khodabandelou, M Katranji, W Kheriji, F Hadj Selem
IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE, 2019
22019
Intelligent Agile Method Framework.
M Jankovic, M Bajec, G Khodabandelou, R Deneckere, C Hug, C Salinesi
ENASE, 232-237, 2013
22013
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Articles 1–20