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2020 – today
- 2025
[j3]Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stankovic, Lina Stankovic, Stefano Squartini:
A weakly supervised active learning framework for non-intrusive load monitoring. Integr. Comput. Aided Eng. 32(1): 37-54 (2025)- 2024
- [j2]Giulia Tanoni
, Lina Stankovic, Vladimir Stankovic, Stefano Squartini, Emanuele Principi:
Knowledge Distillation for Scalable Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 20(3): 4710-4721 (2024) - 2023
- [j1]Giulia Tanoni, Emanuele Principi, Stefano Squartini:
Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 14(1): 440-452 (2023) - [c5]Djordje Batic, Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Emanuele Principi:
Improving Knowledge Distillation for Non-Intrusive Load Monitoring Through Explainability Guided Learning. ICASSP 2023: 1-5 - [c4]Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini:
Appliance-Incremental Learning for Non-Intrusive Load Monitoring. SmartGridComm 2023: 1-6 - 2022
- [c3]Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini:
Weakly Supervised Transfer Learning for Multi-label Appliance Classification. AII 2022: 360-375 - [c2]Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini:
A Multiple Instance Regression Approach to Electrical Load Disaggregation. EUSIPCO 2022: 1666-1670
2010 – 2019
- 2018
- [c1]Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Giulia Tanoni, Claudio Turchetti:
A comparative study of machine learning algorithms for physiological signal classification. KES 2018: 1977-1984
Coauthor Index
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