Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter. - Virginia Negri; Dario Scuratti; Stefano Agresti; Donya Rooein; Amudha Ravi Shankar; Jose Luis Fernandez-Marquez; Mark James Carman; Barbara Pernici (CoRR, 2020)

Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter. - Virginia Negri; Dario Scuratti; Stefano Agresti; Donya Rooein; Gabriele Scalia; Amudha Ravi Shankar; Jose Luis Fernandez-Marquez; Mark James Carman; Barbara Pernici (ICSE-SEIS, 2021)

Artificial Intelligence and Smart Grids: the Cable Joint Test Case. - Virginia Negri; Alessandro Mingotti; Lorenzo Peretto; Roberto Tinarelli (AMPS, 2022)

Comparison Between the Machine Learning and the Statistical Approach to the Forecasting of Voltage, Current, and Frequency. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto (AMPS, 2023)

Uncertainty and Lack of Information Affecting the Training of Machine Learning Algorithms for Fault Prediction of Cable-Joints. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto (I2MTC, 2023)

Validating Inertia Assessment Metrics in Distribution Systems with High RES Penetration. - Guglielmo Frigo; Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto; Johan Rens; Theresa Joubert (AMPS, 2024)

Temperature-Based Accuracy Estimation on Instrument Transformers via Neural Networks and Microcontrollers. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto (AMPS, 2024)

Towards the DT of an Educational Building: An AI-Based Distributed Measurement System for the Power Forecasting. - Virginia Negri; Samuel Zanella; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto; Francesco Barchi; Andrea Acquaviva (AMPS, 2024)

Analyzing the Performance of AI-Based Battery SoC Estimation: A Metrological Point of View. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto; Ludovica Apa; Livio D'Alvia; Zaccaria Del Prete; Emanuele Rizzuto (I2MTC, 2024)

Enhancing Efficiency Prediction Accuracy in PEM Fuel Cell Hybrid Systems Using AI. - Virginia Negri; Livio D'Alvia; Alessandro Mingotti (I2MTC, 2025)

Uncertainty-Driven Data Augmentation for Improved Load Time Series Forecasting. - Virginia Negri; Simone Mari; Alessandro Mingotti; Fabrizio Ciancetta; Roberto Tinarelli; Lorenzo Peretto (I2MTC, 2025)

Bridging Supervised and Unsupervised Learning for Classification of Breast Tissue. - Virginia Negri; Grazia Iadarola; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto (MeMeA, 2025)

Enhancing Diabetic Retinopathy Diagnosis with Machine Learning: A Random Forest Approach Using Muscle Response Data. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Alessandra Laffi; Milena Raffi; Alessandro Piras (MeMeA, 2025)

Uncertainty-Aware Human Activity Recognition: Investigating Sensor Impact in ML Models. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto (MeMeA, 2025)

A Novel Health Index for MV Cable Joint Aging Prediction Based on Dynamic Graph Attention Model. - Virginia Negri; Alessandro Mingotti; Roberto Tinarelli; Lorenzo Peretto; Lala Shakti Swarup Ray; Bo Zhou 005; Paul Lukowicz (IEEE Trans. Instrum. Meas., 2025)