18 citations · 34 across the 6 of their papers we have counts for
6 papers
Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data
Amir Dib, Noëlie Cherrier, Martin Graive +2
In a transport network, the onboard occupancy is key for gaining insights into travelers' habits and adjusting the offer. Traditionally, operators have relied on field studies to e…
Context-Aware Automated Passenger Counting Data Denoising
Noëlie Cherrier, Baptiste Rérolle, Martin Graive +2
A reliable and accurate knowledge of the ridership in public transportation networks is crucial for public transport operators and public authorities to be aware of their network's…
Sim-to-Real Domain Adaptation For High Energy Physics
Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli +1
Particle physics or High Energy Physics (HEP) studies the elementary constituents of matter and their interactions with each other. Machine Learning (ML) has played an important ro…
Embedded Constrained Feature Construction for High-Energy Physics Data Classification
Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli +1
Before any publication, data analysis of high-energy physics experiments must be validated. This validation is granted only if a perfect understanding of the data and the analysis…
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne +1
A good feature representation is a determinant factor to achieve high performance for many machine learning algorithms in terms of classification. This is especially true for techn…
Ionospheric activity prediction using convolutional recurrent neural networks
Alexandre Boulch, Noëlie Cherrier, Thibaut Castaings
The ionosphere electromagnetic activity is a major factor of the quality of satellite telecommunications, Global Navigation Satellite Systems (GNSS) and other vital space applicati…