Roberto Molinari

According to our database, Roberto Molinari authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Differentially Private Conformal Prediction via Quantile Binary Search.

Ogonnaya M. Romanus, Roberto Molinari

CoRR, July, 2025

2024

Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors.

Mucyo Karemera, Lionel Voirol, Davide A. Cucci, Wenfei Chu, Roberto Molinari, Stéphane Guerrier

IEEE Trans. Signal Process., 2024

2023

Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration.

Gaetan Bakalli, Davide A. Cucci, Ahmed Radi, Naser El-Sheimy, Roberto Molinari, Olivier Scaillet, Stéphane Guerrier

IEEE Trans. Signal Process., 2023

2022

Scale-Wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes.

Yuming Zhang, Davide A. Cucci, Roberto Molinari, Stéphane Guerrier

IEEE Trans. Signal Process., 2022

2021

Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy.

Aleksandra B. Slavkovic, Roberto Molinari

CoRR, 2021

Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis.

Sachin Heerah, Roberto Molinari, Stéphane Guerrier, Amy Marshall-Colon

Bioinform., 2021

2020

Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration.

Stéphane Guerrier, Juan D. Jurado, Mehran Khaghani, Gaetan Bakalli, Mucyo Karemera, Roberto Molinari, Samuel Orso, John F. Raquet, Christine M. Schubert, Jan Skaloud, Haotian Xu, Yuming Zhang

IEEE Trans. Instrum. Meas., 2020

SWAG: A Wrapper Method for Sparse Learning.

Roberto Molinari, Gaetan Bakalli, Stéphane Guerrier, Cesare Miglioli, Samuel Orso, Olivier Scaillet

CoRR, 2020

2019

Multivariate Signal Modeling With Applications to Inertial Sensor Calibration.

Haotian Xu, Stéphane Guerrier, Roberto Molinari, Mucyo Karemera

IEEE Trans. Signal Process., 2019

A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling.

Ahmed Radi, Gaetan Bakalli, Stéphane Guerrier, Naser El-Sheimy, Abu B. Sesay, Roberto Molinari

IEEE Trans. Instrum. Meas., 2019

2018

An optimal virtual inertial sensor framework using wavelet cross covariance.

Yuming Zhang, Haotian Xu, Ahmed Radi, Roberto Molinari, Stéphane Guerrier, Mucyo Karemera, Naser El-Sheimy

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

Improved stochastic modelling of low-cost GNSS receivers positioning errors.

Ahmed Radi, Sameh Nassar, Maan Khedr, Naser El-Sheimy, Roberto Molinari, Stéphane Guerrier

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

A two-step computationally efficient procedure for IMU classification and calibration.

Gaetan Bakalli, Ahmed Radi, Sameh Nassar, Stéphane Guerrier, Yuming Zhang, Roberto Molinari

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

2017

A Study of the Allan Variance for Constant-Mean Nonstationary Processes.

Haotian Xu, Stéphane Guerrier, Roberto Molinari, Yuming Zhang

IEEE Signal Process. Lett., 2017

2016

Wavelet-Based Improvements for Inertial Sensor Error Modeling.

Stéphane Guerrier, Roberto Molinari, Yannick Stebler

IEEE Trans. Instrum. Meas., 2016

Theoretical Limitations of Allan Variance-based Regression for Time Series Model Estimation.

Stéphane Guerrier, Roberto Molinari, Yannick Stebler

IEEE Signal Process. Lett., 2016