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Roberto Molinari
Roberto Molinari
Assistant Professor, Auburn University
Verified email at auburn.edu
Title
Cited by
Cited by
Year
Theoretical limitations of allan variance-based regression for time series model estimation
S Guerrier, R Molinari, Y Stebler
IEEE Signal Processing Letters 23 (5), 597-601, 2016
332016
Automatic identification and calibration of stochastic parameters in inertial sensors
S Guerrier, R Molinari, J Skaloud
Navigation: Journal of The Institute of Navigation 62 (4), 265-272, 2015
222015
Wavelet-based improvements for inertial sensor error modeling
S Guerrier, R Molinari, Y Stebler
IEEE Transactions on Instrumentation and Measurement 65 (12), 2693-2700, 2016
182016
A computationally efficient framework for automatic inertial sensor calibration
JJ Balamuta, R Molinari, S Guerrier, W Yang
IEEE Sensors Journal 18 (4), 1636-1646, 2017
152017
A multisignal wavelet variance-based framework for inertial sensor stochastic error modeling
A Radi, G Bakalli, S Guerrier, N El-Sheimy, AB Sesay, R Molinari
IEEE Transactions on Instrumentation and Measurement 68 (12), 4924-4936, 2019
142019
Multivariate signal modeling with applications to inertial sensor calibration
H Xu, S Guerrier, RC Molinari, M Karemera
IEEE Transactions on Signal Processing 67 (19), 5143-5152, 2019
102019
A predictive based regression algorithm for gene network selection
S Guerrier, N Mili, R Molinari, S Orso, M Avella-Medina, Y Ma
Frontiers in genetics 7, 97, 2016
92016
A predictive based regression algorithm for gene network selection
S Guerrier, N Mili, R Molinari, S Orso, M Avella-Medina, Y Ma
Frontiers in genetics 7, 97, 2016
92016
Study of MEMS-based inertial sensors operating in dynamic conditions
Y Stebler, S Guerrier, J Skaloud, R Molinari, MP Victoria-Feser
2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014, 1227-1231, 2014
92014
Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis
S Heerah, R Molinari, S Guerrier, A Marshall-Colon
Bioinformatics 37 (16), 2450-2460, 2021
82021
An automatic calibration approach for the stochastic parameters of inertial sensors
A Radi, G Bakalli, N El-Sheimy, S Guerrier, R Molinari
Proceedings of the 30th International Technical Meeting of The Satellite …, 2017
82017
Wavelet variance for random fields: an m-estimation framework
S Guerrier, R Molinari
arXiv preprint arXiv:1607.05858, 2016
82016
The gmwm R package: a comprehensive tool for time series analysis from state-space models to robustness
J Balamuta, R Molinari, S Guerrier, W Yang
arXiv preprint arXiv:1607.04543, 2016
82016
Estimation of Time Series Models via Robust Wavelet Variance
S Guerrier, R Molinari, MP Victoria-Feser
Austrian Journal of Statistics 43 (4), 267-277, 2014
82014
Wavelet-based moment-matching techniques for inertial sensor calibration
S Guerrier, J Jurado, M Khaghani, G Bakalli, M Karemera, R Molinari, ...
IEEE Transactions on Instrumentation and Measurement 69 (10), 7542-7551, 2020
72020
Improved stochastic modelling of low-cost GNSS receivers positioning errors
A Radi, S Nassar, M Khedr, N El-Sheimy, R Molinari, S Guerrier
2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 108-117, 2018
72018
A computational multivariate-based technique for inertial sensor calibration
G Bakalli, A Radi, N El-Sheimy, R Molinari, S Guerrier
Proceedings of the 30th International Technical Meeting of The Satellite …, 2017
72017
An overview of a new sensor calibration platform
P Clausen, J Skaloud, R Molinari, J Balamuta, S Guerrier
2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace …, 2017
62017
An algorithm for automatic inertial sensors calibration
S Guerrier, R Molinari, J Skaloud, MP Victoria-Feser
Proceedings of the 26th International Technical Meeting of the Satellite …, 2013
62013
Robust two-step wavelet-based inference for time series models
S Guerrier, R Molinari, MP Victoria-Feser, H Xu
Journal of the American Statistical Association, 1-18, 2021
52021
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Articles 1–20