| Dexar: Deep explainable sensor-based activity recognition in smart-home environments L Arrotta, G Civitarese, C Bettini Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 33 | 2022 |
| The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data L Arrotta, C Bettini, G Civitarese International Conference on Mobile and Ubiquitous Systems: Computing …, 2021 | 15 | 2021 |
| MICAR: multi-inhabitant context-aware activity recognition in home environments L Arrotta, C Bettini, G Civitarese Distributed and Parallel Databases 41 (4), 571-602, 2023 | 9 | 2023 |
| Context-aware data association for multi-inhabitant sensor-based activity recognition L Arrotta, C Bettini, G Civitarese, R Presotto 2020 21st IEEE International Conference on Mobile Data Management (MDM), 125-130, 2020 | 7 | 2020 |
| Semantic Loss: A New Neuro-Symbolic Approach for Context-Aware Human Activity Recognition L Arrotta, G Civitarese, C Bettini Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024 | 6 | 2024 |
| ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models L Arrotta, C Bettini, G Civitarese, M Fiori arXiv preprint arXiv:2403.06586, 2024 | 5 | 2024 |
| DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices L Arrotta, G Civitarese, R Presotto, C Bettini 2023 24th IEEE International Conference on Mobile Data Management (MDM), 346-351, 2023 | 5 | 2023 |
| Knowledge infusion for context-aware sensor-based human activity recognition L Arrotta, G Civitarese, C Bettini 2022 IEEE International Conference on Smart Computing (SMARTCOMP), 1-8, 2022 | 5 | 2022 |
| Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition L Arrotta, G Civitarese, C Bettini arXiv preprint arXiv:2306.05058, 2023 | 4 | 2023 |
| Multi-inhabitant and explainable Activity Recognition in Smart Homes L Arrotta 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 264-266, 2021 | 3 | 2021 |
| Probabilistic knowledge infusion through symbolic features for context-aware activity recognition L Arrotta, G Civitarese, C Bettini Pervasive and Mobile Computing 91, 101780, 2023 | 2 | 2023 |
| Explaining Human Activities Instances Using Deep Learning Classifiers L Arrotta, G Civitarese, M Fiori, C Bettini 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 2 | 2022 |
| SelfAct: Personalized Activity Recognition Based on Self-Supervised and Active Learning L Arrotta, G Civitarese, C Bettini International Conference on Mobile and Ubiquitous Systems: Computing …, 2023 | 1 | 2023 |
| Neuro-Symbolic AI Approaches for Sensor-Based Human Activity Recognition L Arrotta Università degli Studi di Milano, 2024 | | 2024 |
| 2023 24th IEEE International Conference on Mobile Data Management (MDM)| 979-8-3503-4101-0/23/$31.00© 2023 IEEE| DOI: 10.1109/MDM58254. 2023.00065 L Abdelhafeez, A Agrawal, Y Ai, M Alsaeed, D Amagata, C Anastasiou, ... | | |
| MDM 2022 A Zachariah, S Prasanna, T Cunningham, A Haldar, C Borsum, ... | | |
| SMARTCOMP 2022 L Arrotta, G Civitarese, AZM Faridee, A Chakma, Z Hasan, N Roy | | |
| SEMI-SUPERVISED LEARNING FOR MULTI-INHABITANT ACTIVITY RECOGNITION L ARROTTA | | |
Riccardo PresottoPh.d. Università degli studi di MilanoEmail verificata su unimi.it
Riccardo PresottoPh.d. Università degli studi di MilanoEmail verificata su unimi.it