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Noëlie Cherrier
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2020 – today
- 2024
- [i6]Noëlie Cherrier, Baptiste Rérolle, Martin Graive, Amir Dib, Eglantine Schmitt:
Context-Aware Automated Passenger Counting Data Denoising. CoRR abs/2402.08688 (2024) - [i5]Amir Dib, Noëlie Cherrier, Martin Graive, Baptiste Rérolle, Eglantine Schmitt:
Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data. CoRR abs/2403.05546 (2024) - 2023
- [c7]Noëlie Cherrier, Baptiste Rérolle, Martin Graive, Amir Dib, Eglantine Schmitt:
Context-Aware Automated Passenger Counting Data Denoising. ITSC 2023: 1935-1942 - [c6]Amir Dib, Noëlie Cherrier, Martin Graive, Baptiste Rérolle, Eglantine Schmitt:
Unified Occupancy on a Public Transport Network Through Combination of AFC and APC Data. ITSC 2023: 1963-1970 - 2022
- [c5]Victor Amblard, Amir Dib, Noëlie Cherrier, Guillaume Barthe:
A Bayesian Markov Model for Station-Level Origin-Destination Matrix Reconstruction. ECML/PKDD (6) 2022: 538-553 - 2021
- [b1]Noëlie Cherrier:
Interpretable machine learning for CLAS12 data analysis. (Machine learning interprétable pour l'analyse de données à CLAS12). University of Paris-Saclay, France, 2021 - 2020
- [c4]Noëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction. DS 2020: 386-402 - [c3]Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Embedded Feature Construction in Fuzzy Decision Tree Induction for High Energy Physics Classification. SMC 2020: 615-622
2010 – 2019
- 2019
- [c2]Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics. CEC 2019: 1650-1658 - [i4]Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics. CoRR abs/1908.08005 (2019) - [i3]Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli, Franck Sabatié:
Embedded Constrained Feature Construction for High-Energy Physics Data Classification. CoRR abs/1912.07999 (2019) - [i2]Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli, Noëlie Cherrier:
Sim-to-Real Domain Adaptation For High Energy Physics. CoRR abs/1912.08001 (2019) - 2018
- [i1]Alexandre Boulch, Noëlie Cherrier, Thibaut Castaings:
Ionospheric activity prediction using convolutional recurrent neural networks. CoRR abs/1810.13273 (2018) - 2017
- [c1]Noëlie Cherrier, Thibaut Castaings, Alexandre Boulch:
Deep Sequence-to-Sequence Neural Networks for Ionospheric Activity Map Prediction. ICONIP (5) 2017: 545-555
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last updated on 2024-04-25 05:54 CEST by the dblp team
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