11 citations · 48 across the 15 of their papers we have counts for
16 papers
Accounting for Vibration Noise in Stochastic Measurement Errors
Lionel Voirol, Davide A. Cucci, Mucyo Karemera +3
The measurement of data over time and/or space is of utmost importance in a wide range of domains from engineering to physics. Devices that perform these measurements therefore nee…
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
Aleksandra Slavkovic, Roberto Molinari
Differential Privacy (DP) provides an elegant mathematical framework for defining a provable disclosure risk in the presence of arbitrary adversaries; it guarantees that whether an…
Scale-wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes
Yuming Zhang, Davide A. Cucci, Roberto Molinari +1
The increased use of low-cost gyroscopes within inertial sensors for navigation purposes, among others, has brought to the development of a considerable amount of research in impro…
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration
Gaetan Bakalli, Davide A. Cucci, Ahmed Radi +4
Inertial sensor calibration plays a progressively important role in many areas of research among which navigation engineering. By performing this task accurately, it is possible to…
SWAG: A Wrapper Method for Sparse Learning
Roberto Molinari, Gaetan Bakalli, Stéphane Guerrier +4
The majority of machine learning methods and algorithms give high priority to prediction performance which may not always correspond to the priority of the users. In many cases, pr…
Robust Two-Step Wavelet-Based Inference for Time Series Models
Stéphane Guerrier, Roberto Molinari, Maria-Pia Victoria-Feser +1
Complex time series models such as (the sum of) ARMA models with additional noise, random walks, rounding errors and/or drifts are increasingly used for data analysis in fie…