4 citations · 5 across the 5 of their papers we have counts for
5 papers
Simulation-Driven Vehicular Traffic Data Augmentation: Extending Sensor Coverage Through Virtual Sensing
Davide Andrea Guastella, Eladio Montero Porras, Evangelos Pournaras +1
Urban traffic management relies on sensor networks whose spatial coverage is limited by deployment costs and privacy regulations. Machine learning models trained on such sparse dat…
Simulation-Free Estimation of Traffic Flows from Sparse Count Data
Davide Guastella, Gianluca Bontempi
We propose a method for estimating time-varying traffic flow patterns from sparse aggregated vehicle counts. The method partitions the study area into spatial regions, constructs a…
Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs
Martin Colot, Cédric Simar, Guy Cheron +2
Continuous estimation of high-dimensional finger kinematics from forearm surface electromyography (EMG) could enable natural control for hand prostheses, AR/XR interfaces, and tele…
Calibration of Vehicular Traffic Simulation Models by Local Optimization
Davide Andrea Guastella, Alejandro Morales-Hernàndez, Bruno Cornelis +1
Simulation is a valuable tool for traffic management experts to assist them in refining and improving transportation systems and anticipating the impact of possible changes in the…
Physically Interpretable Probabilistic Domain Characterization
Anaïs Halin, Sébastien Piérard, Renaud Vandeghen +10
Characterizing domains is essential for models analyzing dynamic environments, as it allows them to adapt to evolving conditions or to hand the task over to backup systems when fac…