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Stefania Russo
Stefania Russo
Roche pRED, Digital Biomarkers
Dirección de correo verificada de roche.com
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Soft and stretchable sensor using biocompatible electrodes and liquid for medical applications
S Russo, T Ranzani, H Liu, S Nefti-Meziani, K Althoefer, A Menciassi
Soft robotics 2 (4), 146-154, 2015
1162015
A quantitative evaluation of drive pattern selection for optimizing EIT-based stretchable sensors
S Russo, S Nefti-Meziani, N Carbonaro, A Tognetti
Sensors 17 (9), 1999, 2017
652017
Active learning for anomaly detection in environmental data
S Russo, M Lürig, W Hao, B Matthews, K Villez
Environmental Modelling & Software 134, 104869, 2020
502020
Anomaly detection using deep autoencoders for in-situ wastewater systems monitoring data
S Russo, A Disch, F Blumensaat, K Villez
arXiv preprint arXiv:2002.03843, 2020
422020
Touch Position Detection in Electrical Tomography Tactile Sensors Through Quadratic Classifier
S Russo, R Assaf, N Carbonaro, A Tognetti
IEEE Sensors Journal, 2018
312018
Development of a high-speed current injection and voltage measurement system for electrical impedance tomography-based stretchable sensors
S Russo, S Nefti-Meziani, N Carbonaro, A Tognetti
Technologies 5 (3), 48, 2017
282017
The value of human data annotation for machine learning based anomaly detection in environmental systems
S Russo, MD Besmer, F Blumensaat, D Bouffard, A Disch, F Hammes, ...
Water Research 206, 117695, 2021
252021
Learning graph regularisation for guided super-resolution
R De Lutio, A Becker, S D'Aronco, S Russo, JD Wegner, K Schindler
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
232022
Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles
A Becker, S Russo, S Puliti, N Lang, K Schindler, JD Wegner
ISPRS Journal of Photogrammetry and Remote Sensing 195, 269-286, 2023
152023
A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics
R Delli Compagni, Z Cheng, S Russo, TP Van Boeckel
PLoS One 17 (3), e0263789, 2022
142022
Prospects and pitfalls of machine learning in nutritional epidemiology
S Russo, S Bonassi
Nutrients 14 (9), 1705, 2022
82022
Automated model selection in principal component analysis: A new approach based on the cross-validated ignorance score
S Russo, G Li, K Villez
Industrial & Engineering Chemistry Research 58 (30), 13448-13468, 2019
8*2019
Towards the development of an EIT-based stretchable sensor for multi-touch industrial human-computer interaction systems
S Russo, SN Meziani, T Gulrez, N Carbonaro, A Tognetti
Cross-Cultural Design: 8th International Conference, CCD 2016, Held as Part …, 2016
82016
Digital taxonomist: Identifying plant species in community scientists’ photographs
R De Lutio, Y She, S D’Aronco, S Russo, P Brun, JD Wegner, K Schindler
ISPRS journal of photogrammetry and remote sensing 182, 112-121, 2021
72021
Flood uncertainty estimation using deep ensembles
P Chaudhary, JP Leitão, T Donauer, S D’Aronco, N Perraudin, ...
Water 14 (19), 2980, 2022
52022
Potential of supervised machine learning algorithms for estimating the impact of water efficient scenarios on solids accumulation in sewers
C Harpaz, S Russo, JP Leitão, R Penn
Water Research 216, 118247, 2022
32022
Towards a practical implementation of EIT-based sensors using artificial neural networks
S Russo, R Assaf, S Nefti-Meziani
SENSORS, 2017 IEEE, 1-3, 2017
32017
A quantitative evaluation of drive patterns in electrical impedance tomography
S Russo, N Carbonaro, A Tognetti, S Nefti-Meziani
Wireless Mobile Communication and Healthcare: 6th International Conference …, 2017
32017
Eit-based tactile sensing patches for rehabilitation and human machine interaction
S Russo, N Carbonaro, A Tognetti
International Symposium on Wearable Robotics, 13-17, 2018
12018
The asymptotic behaviour of the solutions to widely degenerate p-Laplace equations
S Russo
arXiv preprint arXiv:2403.11315, 2024
2024
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Artículos 1–20