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2020 – today
- 2024
[c7]Rafael Amauri Diniz Augusto, Mohamad Ghassany, Faten Chaieb, Fouad Hadj-Selem:
Active Learning with Unfiltered Informativeness Technique for Object Detection. AIAI (4) 2024: 252-262- 2021
- [j4]Ghazaleh Khodabandelou
, Walid Kheriji, Fouad Hadj-Selem:
Link traffic speed forecasting using convolutional attention-based gated recurrent unit. Appl. Intell. 51(4): 2331-2352 (2021) - 2020
- [j3]Mehdi Katranji, Sami Kraiem, Laurent Moalic, Guilhem Sanmarty, Ghazaleh Khodabandelou, Alexandre Caminada, Fouad Hadj-Selem:
Deep multi-task learning for individuals origin-destination matrices estimation from census data. Data Min. Knowl. Discov. 34(1): 201-230 (2020)
2010 – 2019
- 2019
- [c6]Ghazaleh Khodabandelou, Mehdi Katranji, Sami Kraiem, Walid Kheriji, Fouad Hadj-Selem:
Attention-based Gated Recurrent Unit for Links Traffic Speed Forecasting. ITSC 2019: 2577-2583 - 2018
- [j2]Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Renaud Jardri, Thomas Fovet, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay:
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty. IEEE Trans. Medical Imaging 37(2): 396-407 (2018) - [j1]Fouad Hadj-Selem, Tommy Löfstedt, Elvis Dohmatob, Vincent Frouin, Mathieu Dubois, Vincent Guillemot, Edouard Duchesnay:
Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging. IEEE Trans. Medical Imaging 37(11): 2403-2413 (2018) - [c5]Mehdi Katranji, Guilhem Sanmarty, Laurent Moalic, Sami Kraiem, Alexandre Caminada, Fouad Hadj-Selem:
RNN Encoder-Decoder for the inference of regular human mobility patterns. IJCNN 2018: 1-9 - [c4]Amicie de Pierrefeu, Tommy Löfstedt, Charles Laidi, Fouad Hadj-Selem, Marion Leboyer, Philippe Ciuciu, Josselin Houenou, Edouard Duchesnay:
Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity. PRNI 2018: 1-4 - [i2]Mehdi Katranji, Sami Kraiem, Laurent Moalic, Guilhem Sanmarty, Alexandre Caminada, Fouad Hadj-Selem:
Multi-task learning of daily work and study round-trips from survey data. CoRR abs/1806.03903 (2018) - [i1]Muhammad Naeem, Mehdi Katranji, Guilhem Sanmarty, Sami Kraiem, Mahdi Zargayouna, Fouad Hadj-Selem:
Estimation of Time Delay caused by Point Geometry in Public Transport. CoRR abs/1807.08830 (2018) - 2016
- [c3]Mehdi Katranji, Etienne Thuillier, Sami Kraiem, Laurent Moalic, Fouad Hadj-Selem:
Mobility data disaggregation: A transfer learning approach. ITSC 2016: 1672-1677 - [c2]Mercedes Bueno, Ebru Dogan, Fouad Hadj-Selem, Éric Monacelli, Serge Boverie, Anne Guillaume:
How different mental workload levels affect the take-over control after automated driving. ITSC 2016: 2040-2045 - 2014
- [c1]Mathieu Dubois, Fouad Hadj-Selem, Tommy Löfstedt, Matthieu Perrot, Clara Fischer, Vincent Frouin, Edouard Duchesnay:
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. PRNI 2014: 1-4
Coauthor Index
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