| 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 | 135 | 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 | 86 | 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 | 80 | 2020 |
| 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 | 62 | 2022 |
| 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 | 60 | 2020 |
| 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 | 59 | 2023 |
| 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 | 57 | 2021 |
| Touch Position Detection in Electrical Tomography Tactile Sensors Through Quadratic Classifier S Russo, R Assaf, N Carbonaro, A Tognetti IEEE Sensors Journal, 2018 | 34 | 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 | 34 | 2017 |
| Flood uncertainty estimation using deep ensembles P Chaudhary, JP Leitão, T Donauer, S D’Aronco, N Perraudin, ... Water 14 (19), 2980, 2022 | 30 | 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 | 29 | 2022 |
| 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 | 28 | 2021 |
| Prospects and pitfalls of machine learning in nutritional epidemiology S Russo, S Bonassi Nutrients 14 (9), 1705, 2022 | 25 | 2022 |
| 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 | 13 | 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 International Conference on Cross-Cultural Design, 563-573, 2016 | 9 | 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 216, 118247, 2022 | 8 | 2022 |
| 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 | 6 | 2017 |
| On widely degenerate p-Laplace equations with symmetric data S Russo Revista Matemática Complutense, 1-25, 2025 | 5 | 2025 |
| Higher differentiability of minimizers for non-autonomous orthotropic functionals S Russo Nonlinear Analysis: Real World Applications 87, 104450, 2026 | 4 | 2026 |
| 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 | 3 | 2016 |
Nicola CarbonaroDipartimento Ingegneria Informazione e Centro E. Piaggio - Università di PisaVerified email at centropiaggio.unipi.it
