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Anna Ferrari
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2020 – today
- 2023
- [j4]Anna Ferrari
, Daniela Micucci
, Marco Mobilio
, Paolo Napoletano
:
Deep learning and model personalization in sensor-based human activity recognition. J. Reliab. Intell. Environ. 9(1): 27-39 (2023) - 2022
- [d3]Joseph Price, Stefan Müller
, Anna Ferrari
, Oliver Knodel
, Martin Voigt
, Alexander Keshavarzi, Erdem Motuk, Daniel Judson, David Koltick, James Miller, Pawel Plesniak, Andrew Edmonds, Robert Ufer
, Shihua Huang, Jijun Chen, Rebecca Chislett, Mark Lancaster, Reuven Rachamin
, Steven Tickle, Claudia Alvarez, George Ginther, Laura Harkness-Brennan:
Test of the detector system for the Stopping Target Monitor of the Mu2e experiment in the presence of a high flux gamma background. RODARE, 2022 - 2021
- [j3]Anna Ferrari
, Daniela Micucci
, Marco Mobilio
, Paolo Napoletano
:
Trends in human activity recognition using smartphones. J. Reliab. Intell. Environ. 7(3): 189-213 (2021) - [d2]Claudia Alvarez, Jijun Chen, Andrew Edmonds, Anna Ferrari
, Shihua Huang, Alexander Keshavarzi, Oliver Knodel
, David Koltick, Mark Lancaster, James P. Miller, Stefan Müller
, James L. Popp, Reuven Rachamin
, Milena Simic, Steven Tickle, Robert Ufer
, Martin Voigt
:
Tests of the detector system for the Stopping Target Monitor of the MU2E experiment in a high flux pulsed gamma beam. Version 1.0. RODARE, 2021 [all versions] - [d1]Claudia Alvarez, Jijun Chen, Andrew Edmonds, Anna Ferrari
, Shihua Huang, Alexander Keshavarzi, Oliver Knodel
, David Koltick, Mark Lancaster, James P. Miller, Stefan Müller
, James L. Popp, Reuven Rachamin
, Milena Simic, Steven Tickle, Robert Ufer
, Martin Voigt
:
Tests of the detector system for the Stopping Target Monitor of the MU2E experiment in a high flux pulsed gamma beam. Version 1.1. RODARE, 2021 [all versions] - 2020
- [j2]Anna Ferrari
, Daniela Micucci
, Marco Mobilio
, Paolo Napoletano
:
On the Personalization of Classification Models for Human Activity Recognition. IEEE Access 8: 32066-32079 (2020) - [c5]Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
Personalized Deep Learning in Human Activity Recognition from Inertial Signals: a Preliminary Study on its Effectiveness (short paper). AIxAS@AI*IA 2020: 25-30 - [i2]Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
Personalization in Human Activity Recognition. CoRR abs/2009.00268 (2020)
2010 – 2019
- 2019
- [c4]Anna Ferrari
, Daniela Micucci
, Marco Mobilio
, Paolo Napoletano
:
Human Activities Recognition Using Accelerometer and Gyroscope. AmI 2019: 357-362 - [c3]Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
A Framework for Long-Term Data Collection to Support Automatic Human Activity Recognition. Intelligent Environments (Workshops) 2019: 367-376 - [c2]Anna Ferrari
, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
Hand-crafted Features vs Residual Networks for Human Activities Recognition using Accelerometer. ISCT 2019: 153-156 - [c1]Anna Ferrari
, Marco Mobilio, Daniela Micucci, Paolo Napoletano:
On the Homogenization of Heterogeneous Inertial-Based Databases for Human Activity Recognition. SERVICES 2019: 295-300 - [i1]Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition. CoRR abs/1905.12555 (2019) - 2016
- [j1]Ìtalo Faria do Valle, Enrico Giampieri, Giorgia Simonetti
, Antonella Padella
, Marco Manfrini
, Anna Ferrari
, Cristina Papayannidis
, Isabella Zironi
, Marianna Garonzi, Simona Bernardi
, Massimo Delledonne
, Giovanni Martinelli
, Daniel Remondini
, Gastone C. Castellani:
Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data. BMC Bioinform. 17(S-12): 27-35 (2016)
Coauthor Index

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