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Riccardo Presotto
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2020 – today
- 2024
- [i4]Sannara Ek, Riccardo Presotto, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini:
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition. CoRR abs/2404.15331 (2024) - 2023
- [j4]Riccardo Presotto
, Gabriele Civitarese
Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition. Pervasive Mob. Comput. 88: 101726 (2023) - [c8]Luca Arrotta, Gabriele Civitarese
DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices. MDM 2023: 346-351 - [c7]Riccardo Presotto, Gabriele Civitarese
Is Querying Users Acceptable for Human Activity Recognition Based on Active Learning? PerCom Workshops 2023: 521-526 - [c6]Riccardo Presotto, Sannara Ek, Gabriele Civitarese
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity. SMARTCOMP 2023: 33-40 - [i3]Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini:
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity. CoRR abs/2306.13735 (2023) - 2022
- [j3]Riccardo Presotto, Gabriele Civitarese
Semi-supervised and personalized federated activity recognition based on active learning and label propagation. Pers. Ubiquitous Comput. 26(5): 1281-1298 (2022) - [c5]Riccardo Presotto, Gabriele Civitarese
FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition. PerCom 2022: 227-236 - [c4]Riccardo Presotto, Gabriele Civitarese
Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition. PerCom Workshops 2022: 304-309 - 2021
- [c3]Riccardo Presotto:
Semi-supervised methodologies to tackle the annotated data scarcity problem in the field of HAR. MDM 2021: 269-271 - [i2]Claudio Bettini, Gabriele Civitarese, Riccardo Presotto:
Personalized Semi-Supervised Federated Learning for Human Activity Recognition. CoRR abs/2104.08094 (2021) - 2020
- [j2]Claudio Bettini
ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition. IEEE Access 8: 146876-146886 (2020) - [j1]Claudio Bettini, Gabriele Civitarese
CAVIAR: Context-driven Active and Incremental Activity Recognition. Knowl. Based Syst. 196: 105816 (2020) - [c2]Luca Arrotta, Claudio Bettini, Gabriele Civitarese
Context-Aware Data Association for Multi-Inhabitant Sensor-Based Activity Recognition. MDM 2020: 125-130
2010 – 2019
- 2019
- [c1]Gabriele Civitarese
Hybrid data-driven and context-aware activity recognition with mobile devices. UbiComp/ISWC Adjunct 2019: 266-267 - [i1]Gabriele Civitarese, Riccardo Presotto, Claudio Bettini:
Context-driven Active and Incremental Activity Recognition. CoRR abs/1906.03033 (2019)
Coauthor Index
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