Modular Design of Communication Node Prototypes. - Sergio D'Angelo; Lauro Mantoani; Riccardo P. G. Mazzei; Stefania Russo; Giacomo R. Sechi (Great Lakes Symposium on VLSI, 1997)

A Pre-Attentive Neural System for the Analysis of Nuclear Physics Experimental Data. - Monica Alderighi; Giacomo R. Sechi; Paolo Guazzoni; Stefania Russo; Luisa Zetta (IJCNN (4), 2000)

Towards the Development of an EIT-based Stretchable Sensor for Multi-Touch Industrial Human-Computer Interaction Systems. - Stefania Russo; Samia Nefti-Meziani; Tauseef Gulrez; Nicola Carbonaro; Alessandro Tognetti (HCI (11), 2016)

A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography. - Stefania Russo; Nicola Carbonaro; Alessandro Tognetti; Samia Nefti-Meziani (MobiHealth, 2016)

Towards a practical implementation of EIT-based sensors using artificial neural networks. - Stefania Russo; Roy Assaf; Samia Nefti-Meziani (IEEE SENSORS, 2017)

A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors. - Stefania Russo; Samia Nefti-Meziani; Nicola Carbonaro; Alessandro Tognetti (Sensors, 2017)

Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data. - Stefania Russo; Andy Disch; Frank Blumensaat; Kris Villez (CoRR, 2020)

Active learning for anomaly detection in environmental data. - Stefania Russo; Moritz Lürig; Wenjin Hao; Blake Matthews; Kris Villez (Environ. Model. Softw., 2020)

Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs. - Riccardo de Lutio; Yihang She; Stefano D'Aronco; Stefania Russo; Philipp Brun; Jan D. Wegner; Konrad Schindler (CoRR, 2021)

Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning. - Alexander Becker; Stefania Russo; Stefano Puliti; Nico Lang; Konrad Schindler; Jan Dirk Wegner (CoRR, 2021)

Learning Graph Regularisation for Guided Super-Resolution. - Riccardo de Lutio; Alexander Becker; Stefano D'Aronco; Stefania Russo; Jan D. Wegner; Konrad Schindler (CVPR, 2022)

An evaluation of deep learning models for predicting water depth evolution in urban floods. - Stefania Russo; Nathanaël Perraudin; Steven Stalder; Fernando Pérez-Cruz; João Paulo Leitão; Guillaume Obozinski; Jan Dirk Wegner (CoRR, 2023)

Human Activity Recognition from Smartphone Sensor Data for Clinical Trials. - Stefania Russo; Rafal Klimas; Marta Plonka; Hugo Le Gall; Sven Holm; Dimitar Stanev; Florian Lipsmeier; Mattia Zanon; Lito Kriara (CoRR, 2025)