Stefania Russo
Stefania Russo
Ecovision Lab, ETH
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
Touch Position Detection in Electrical Tomography Tactile Sensors Through Quadratic Classifier
S Russo, R Assaf, N Carbonaro, A Tognetti
IEEE Sensors Journal, 2018
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
Active learning for anomaly detection in environmental data
S Russo, M Lürig, W Hao, B Matthews, K Villez
Environmental Modelling & Software 134, 104869, 2020
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
International Conference on Cross-Cultural Design, 563-573, 2016
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
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning
A Becker, S Russo, S Puliti, N Lang, K Schindler, JD Wegner
arXiv preprint arXiv:2111.13154, 2021
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
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
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, 117695, 2021
A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography
S Russo, N Carbonaro, A Tognetti, S Nefti-Meziani
International Conference on Wireless Mobile Communication and Healthcare …, 2016
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, 118247, 2022
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
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
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
Development of a practical electrical tomography system for flexible contact sensing applications
S Russo
University of Salford, 2018
A highly stretchable artificial sensitive skin using EIT
S Russo, A Tognetti, N Carbonaro, S Nefti-Meziani
17th International Conference on Electrical Impedance Tomography, 132-132, 2016
Study and development of stretchable sensors for flexible surgical instrumentation.
S Russo, T Ranzani
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