Riccardo Presotto

According to our database, Riccardo Presotto authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

2023

Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Pervasive Mob. Comput., January, 2023

Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity.

Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Is Querying Users Acceptable for Human Activity Recognition Based on Active Learning?

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices.

Luca Arrotta, Gabriele Civitarese, Riccardo Presotto, Claudio Bettini

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

2022

Semi-supervised and personalized federated activity recognition based on active learning and label propagation.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Pers. Ubiquitous Comput., 2022

Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022

2021

Personalized Semi-Supervised Federated Learning for Human Activity Recognition.

Claudio Bettini, Gabriele Civitarese, Riccardo Presotto

CoRR, 2021

Semi-supervised methodologies to tackle the annotated data scarcity problem in the field of HAR.

Riccardo Presotto

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

2020

CAVIAR: Context-driven Active and Incremental Activity Recognition.

Claudio Bettini, Gabriele Civitarese, Riccardo Presotto

Knowl. Based Syst., 2020

ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition.

Claudio Bettini, Gabriele Civitarese, Davide Giancane, Riccardo Presotto

IEEE Access, 2020

Context-Aware Data Association for Multi-Inhabitant Sensor-Based Activity Recognition.

Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Riccardo Presotto

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

2019

Context-driven Active and Incremental Activity Recognition.

Gabriele Civitarese, Riccardo Presotto, Claudio Bettini

CoRR, 2019

Hybrid data-driven and context-aware activity recognition with mobile devices.

Gabriele Civitarese, Riccardo Presotto, Claudio Bettini

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019