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
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
2024 L. Arrotta, C. Bettini, G. Civitarese, M. Fiori
SelfAct: Personalized Activity Recognition Based on Self-Supervised and Active Learning
2024 L. Arrotta, G. Civitarese, C. Bettini
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
DeXAR: Deep explainable sensor-based activity recognition in smart-home environments
2022 L. Arrotta, G. Civitarese, C. Bettini
Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition
2022 L. Arrotta, G. Civitarese, C. Bettini
Explaining Human Activities Instances Using Deep Learning Classifiers
2022 L. Arrotta, G. Civitarese, M. Fiori, 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