ARROTTA, LUCA
ARROTTA, LUCA
Dipartimento di Informatica Giovanni Degli Antoni
Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework
2025 L. Arrotta, G. Civitarese, X. Chen, J. Cumin, C. Bettini
NEURO-SYMBOLIC AI APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION
2024 L. Arrotta
SelfAct: Personalized Activity Recognition Based on Self-Supervised and Active Learning
2024 L. Arrotta, G. Civitarese, C. Bettini
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
2024 L. Arrotta, C. Bettini, G. Civitarese, M. Fiori
Probabilistic knowledge infusion through symbolic features for context-aware activity recognition
2023 L. Arrotta, G. Civitarese, C. Bettini
DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices
2023 L. Arrotta, G. Civitarese, R. Presotto, C. Bettini
Semantic Loss: A New Neuro-Symbolic Approach for Context-Aware Human Activity Recognition
2023 L. Arrotta, G. Civitarese, C. Bettini
Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition
2022 L. Arrotta, G. Civitarese, C. Bettini
DeXAR: Deep explainable sensor-based activity recognition in smart-home environments
2022 L. Arrotta, G. Civitarese, C. Bettini
MICAR: multi-inhabitant context-aware activity recognition in home environments
2022 L. Arrotta, C. Bettini, G. Civitarese
The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data
2022 L. Arrotta, C. Bettini, G. Civitarese
Explaining Human Activities Instances Using Deep Learning Classifiers
2022 L. Arrotta, G. Civitarese, M. Fiori, C. Bettini