Roberto Molinari

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentially Private Conformal Prediction via Quantile Binary Search.
Trans. Mach. Learn. Res.
Ogonnaya M. Romanus, Roberto Molinari
2025 J jnl
Differentially Private Conformal Prediction via Quantile Binary Search.
CoRR
Ogonnaya M. Romanus, Roberto Molinari
2024 J jnl
Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors.
IEEE Trans. Signal Process.
Mucyo Karemera, Lionel Voirol, Davide A. Cucci, Wenfei Chu, Roberto Molinari, Stéphane Guerrier
2023 J jnl
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration.
IEEE Trans. Signal Process.
Gaetan Bakalli, Davide A. Cucci, Ahmed Radi, Naser El-Sheimy, Roberto Molinari, Olivier Scaillet, Stéphane Guerrier
2022 J jnl
Scale-Wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes.
IEEE Trans. Signal Process.
Yuming Zhang, Davide A. Cucci, Roberto Molinari, Stéphane Guerrier
2021 J jnl
Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis.
Bioinform.
Sachin Heerah, Roberto Molinari, Stéphane Guerrier, Amy Marshall-Colon
2021 J jnl
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy.
CoRR
Aleksandra B. Slavkovic, Roberto Molinari
2020 J jnl
SWAG: A Wrapper Method for Sparse Learning.
CoRR
Roberto Molinari, Gaetan Bakalli, Stéphane Guerrier, Cesare Miglioli, Samuel Orso, Olivier Scaillet
2020 J jnl
Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration.
IEEE Trans. Instrum. Meas.
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
2019 J jnl
A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling.
IEEE Trans. Instrum. Meas.
Ahmed Radi, Gaetan Bakalli, Stéphane Guerrier, Naser El-Sheimy, Abu B. Sesay, Roberto Molinari
2019 J jnl
Multivariate Signal Modeling With Applications to Inertial Sensor Calibration.
IEEE Trans. Signal Process.
Haotian Xu, Stéphane Guerrier, Roberto Molinari, Mucyo Karemera
2018 — conf
A two-step computationally efficient procedure for IMU classification and calibration.
PLANS
Gaetan Bakalli, Ahmed Radi, Sameh Nassar, Stéphane Guerrier, Yuming Zhang, Roberto Molinari
2018 — conf
An optimal virtual inertial sensor framework using wavelet cross covariance.
PLANS
Yuming Zhang, Haotian Xu, Ahmed Radi, Roberto Molinari, Stéphane Guerrier, Mucyo Karemera, Naser El-Sheimy
2018 — conf
Improved stochastic modelling of low-cost GNSS receivers positioning errors.
PLANS
Ahmed Radi, Sameh Nassar, Maan Khedr, Naser El-Sheimy, Roberto Molinari, Stéphane Guerrier
2017 J jnl
A Study of the Allan Variance for Constant-Mean Nonstationary Processes.
IEEE Signal Process. Lett.
Haotian Xu, Stéphane Guerrier, Roberto Molinari, Yuming Zhang
2016 J jnl
Theoretical Limitations of Allan Variance-based Regression for Time Series Model Estimation.
IEEE Signal Process. Lett.
Stéphane Guerrier, Roberto Molinari, Yannick Stebler
2016 J jnl
Wavelet-Based Improvements for Inertial Sensor Error Modeling.
IEEE Trans. Instrum. Meas.
Stéphane Guerrier, Roberto Molinari, Yannick Stebler