Giulia Tanoni

12 papers B 2C 1Misc 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A deep learning based method for reference-free full-field strain measurement.
Eng. Appl. Artif. Intell.
Marco Rossi, Giulia Tanoni, Veronica Ilari, Marco Sasso, Emanuele Principi
2025 C conf
A Deep Cascade Framework for Non-Intrusive Power Disaggregation in Solar-Powered Households.
ISCAS
Giulia Tanoni, Redemptor Laceda Taloma, Emanuele Principi, Danilo Comminiello, Stefano Squartini
2025 J jnl
A weakly supervised active learning framework for non-intrusive load monitoring.
Integr. Comput. Aided Eng.
Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stankovic, Lina Stankovic, Stefano Squartini
2025 B conf
Contextual Pooling for Multiple-Instance Learning-based Non-Intrusive Load Monitoring.
IJCNN
Giulia Tanoni, Emanuele Principi, Paolo Vitulli, Luigi Mandolini, Stefano Squartini
2025 J jnl
Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge.
Expert Syst. Appl.
Djordje Batic, Giulia Tanoni, Emanuele Principi, Lina Stankovic, Vladimir Stankovic, Stefano Squartini
2024 J jnl
Knowledge Distillation for Scalable Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics
Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Stefano Squartini, Emanuele Principi
2023 — conf
Appliance-Incremental Learning for Non-Intrusive Load Monitoring.
SmartGridComm
Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini
2023 Misc conf
Improving Knowledge Distillation for Non-Intrusive Load Monitoring Through Explainability Guided Learning.
ICASSP
Djordje Batic, Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Emanuele Principi
2023 J jnl
Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring.
IEEE Trans. Smart Grid
Giulia Tanoni, Emanuele Principi, Stefano Squartini
2022 — conf
A Multiple Instance Regression Approach to Electrical Load Disaggregation.
EUSIPCO
Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini
2022 — conf
Weakly Supervised Transfer Learning for Multi-label Appliance Classification.
AII
Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini
2018 B conf
A comparative study of machine learning algorithms for physiological signal classification.
KES
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Giulia Tanoni, Claudio Turchetti