Luca Arrotta

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

MICAR: multi-inhabitant context-aware activity recognition in home environments.

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[DOI]

Distributed Parallel Databases, December, 2023

Probabilistic knowledge infusion through symbolic features for context-aware activity recognition.

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[DOI]

Pervasive Mob. Comput., 2023

Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition.

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CoRR, 2023

SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning.

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CoRR, 2023

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

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

2022

DeXAR: Deep Explainable Sensor-Based Activity Recognition in Smart-Home Environments.

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[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition.

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[DOI]

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Explaining Human Activities Instances Using Deep Learning Classifiers.

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[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data.

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[DOI]

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

Multi-inhabitant and explainable Activity Recognition in Smart Homes.

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[DOI]