Virginia Negri

According to our database, Virginia Negri authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Paul Lukowicz

IEEE Trans. Instrum. Meas., 2025

Uncertainty-Aware Human Activity Recognition: Investigating Sensor Impact in ML Models.

Virginia Negri, Alessandro Mingotti, Roberto Tinarelli, Lorenzo Peretto

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 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

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2025

Bridging Supervised and Unsupervised Learning for Classification of Breast Tissue.

Virginia Negri, Grazia Iadarola, Alessandro Mingotti, Roberto Tinarelli, Lorenzo Peretto

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2025

Uncertainty-Driven Data Augmentation for Improved Load Time Series Forecasting.

Virginia Negri, Simone Mari, Alessandro Mingotti, Fabrizio Ciancetta, Roberto Tinarelli, Lorenzo Peretto

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Enhancing Efficiency Prediction Accuracy in PEM Fuel Cell Hybrid Systems Using AI.

Virginia Negri, Livio D'Alvia, Alessandro Mingotti

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 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

Proceedings of the 14th IEEE International Workshop on Applied Measurements for Power Systems, 2024

Temperature-Based Accuracy Estimation on Instrument Transformers via Neural Networks and Microcontrollers.

Virginia Negri, Alessandro Mingotti, Roberto Tinarelli, Lorenzo Peretto

Proceedings of the 14th IEEE International Workshop on Applied Measurements for Power Systems, 2024

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

Proceedings of the 14th IEEE International Workshop on Applied Measurements for Power Systems, 2024

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

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

Proceedings of the 13th IEEE International Workshop on Applied Measurements for Power Systems, 2023

2022

Artificial Intelligence and Smart Grids: the Cable Joint Test Case.

Virginia Negri, Alessandro Mingotti, Lorenzo Peretto, Roberto Tinarelli

Proceedings of the 12th IEEE International Workshop on Applied Measurements for Power Systems, 2022

2021

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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021

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, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, Barbara Pernici

CoRR, 2020