3 papers
cs.LG2026
MuRAL-CPD: Active Learning for Multiresolution Change Point Detection
Stefano Bertolasi, Diego Carrera, Diego Stucchi +2
Change Point Detection (CPD) is a critical task in time series analysis, aiming to identify moments when the underlying data-generating process shifts. Traditional CPD methods ofte…
eess.SY2025
Adaptive Extended Kalman Filtering for Battery State of Charge Estimation on STM32
António Barros, Edoardo Peretti, Davide Fabroni +3
Accurate and computationally light algorithms for estimating the State of Charge (SoC) of a battery's cells are crucial for effective battery management on embedded systems. In thi…
cs.CV2024
Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds
Alberto Floris, Luca Frittoli, Diego Carrera +1
Deep neural networks require specific layers to process point clouds, as the scattered and irregular location of 3D points prevents the use of conventional convolutional filters. W…