Noëlie Cherrier

According to our database, Noëlie Cherrier authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Unified Occupancy on a Public Transport Network Through Combination of AFC and APC Data.

Amir Dib, Noëlie Cherrier, Martin Graive, Baptiste Rérolle, Eglantine Schmitt

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Context-Aware Automated Passenger Counting Data Denoising.

Noëlie Cherrier, Baptiste Rérolle, Martin Graive, Amir Dib, Eglantine Schmitt

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

A Bayesian Markov Model for Station-Level Origin-Destination Matrix Reconstruction.

Victor Amblard, Amir Dib, Noëlie Cherrier, Guillaume Barthe

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Interpretable machine learning for CLAS12 data analysis. (Machine learning interprétable pour l'analyse de données à CLAS12).

Noëlie Cherrier

PhD thesis, 2021

2020

Embedded Feature Construction in Fuzzy Decision Tree Induction for High Energy Physics Classification.

Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction.

Noëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Sim-to-Real Domain Adaptation For High Energy Physics.

Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli, Noëlie Cherrier

CoRR, 2019

Embedded Constrained Feature Construction for High-Energy Physics Data Classification.

Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli, Franck Sabatié

CoRR, 2019

Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics.

Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Ionospheric activity prediction using convolutional recurrent neural networks.

Alexandre Boulch, Noëlie Cherrier, Thibaut Castaings

CoRR, 2018

2017

Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction.

Noëlie Cherrier, Thibaut Castaings, Alexandre Boulch

Proceedings of the Neural Information Processing - 24th International Conference, 2017