Fouad Hadj-Selem

Orcid: 0000-0002-1525-6637

According to our database1, Fouad Hadj-Selem authored at least 12 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2021
Link traffic speed forecasting using convolutional attention-based gated recurrent unit.
Appl. Intell., 2021

2020
Deep multi-task learning for individuals origin-destination matrices estimation from census data.
Data Min. Knowl. Discov., 2020

2019
Attention-based Gated Recurrent Unit for Links Traffic Speed Forecasting.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty.
IEEE Trans. Medical Imaging, 2018

Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging.
IEEE Trans. Medical Imaging, 2018

Estimation of Time Delay caused by Point Geometry in Public Transport.
CoRR, 2018

Multi-task learning of daily work and study round-trips from survey data.
CoRR, 2018

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

RNN Encoder-Decoder for the inference of regular human mobility patterns.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016
Mobility data disaggregation: A transfer learning approach.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

How different mental workload levels affect the take-over control after automated driving.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2014
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014


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