26 citations · 59 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree
Luca Frittoli, Diego Carrera, Giacomo Boracchi
We address the problem of online change detection in multivariate datastreams, and we introduce QuantTree Exponentially Weighted Moving Average (QT-EWMA), a nonparametric change-de…
Deep Open-Set Recognition for Silicon Wafer Production Monitoring
Luca Frittoli, Diego Carrera, Beatrice Rossi +2
The chips contained in any electronic device are manufactured over circular silicon wafers, which are monitored by inspection machines at different production stages. Inspection ma…
Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss
Cesare Alippi, Giacomo Boracchi, Diego Carrera +1
We address the problem of detecting changes in multivariate datastreams, and we investigate the intrinsic difficulty that change-detection methods have to face when the data dimens…