Demo abstract: Demonstration of the FABER system for fine-grained recognition of abnormal behaviors. - Gabriele Civitarese; Zaffar Haider Janjua; Daniele Riboni; Claudio Bettini (PerCom Workshops, 2015)

From lab to life: Fine-grained behavior monitoring in the elderly's home. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Viola Bulgari (PerCom Workshops, 2015)

Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Rim Helaoui (PerCom, 2015)

Extended Report: Fine-grained Recognition of Abnormal Behaviors for Early Detection of Mild Cognitive Impairment. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Rim Helaoui (CoRR, 2015)

Let the objects tell what you are doing. - Gabriele Civitarese; Stefano Belfiore; Claudio Bettini (UbiComp Adjunct, 2016)

Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. - Daniele Riboni; Timo Sztyler; Gabriele Civitarese; Heiner Stuckenschmidt (UbiComp, 2016)

Analysis of long-term abnormal behaviors for early detection of cognitive decline. - Daniele Riboni; Gabriele Civitarese; Claudio Bettini (PerCom Workshops, 2016)

SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Rim Helaoui (Artif. Intell. Medicine, 2016)

Behavioral monitoring in smart-home environments for health-care applications. - Gabriele Civitarese (PerCom Workshops, 2017)

Monitoring objects manipulations to detect abnormal behaviors. - Gabriele Civitarese; Claudio Bettini (PerCom Workshops, 2017)

NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition. - Gabriele Civitarese; Claudio Bettini; Timo Sztyler; Daniele Riboni; Heiner Stuckenschmidt (PerCom, 2018)

Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities. - Timo Sztyler; Gabriele Civitarese; Heiner Stuckenschmidt (PerCom Workshops, 2018)

HUMAN ACTIVITY RECOGNITION IN SMART-HOME ENVIRONMENTS FOR HEALTH-CARE APPLICATIONS. - Gabriele Civitarese (2018)

Hybrid data-driven and context-aware activity recognition with mobile devices. - Gabriele Civitarese; Riccardo Presotto; Claudio Bettini (UbiComp/ISWC Adjunct, 2019)

Human Activity Recognition in Smart-Home Environments for Health-Care Applications. - Gabriele Civitarese (PerCom Workshops, 2019)

Automatic Detection of Urban Features from Wheelchair Users' Movements. - Gabriele Civitarese; Sergio Mascetti; Alberto Butifar; Claudio Bettini (PerCom, 2019)

Context-driven Active and Incremental Activity Recognition. - Gabriele Civitarese; Riccardo Presotto; Claudio Bettini (CoRR, 2019)

newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. - Gabriele Civitarese; Claudio Bettini; Timo Sztyler; Daniele Riboni; Heiner Stuckenschmidt (Pervasive Mob. Comput., 2019)

Context-Aware Data Association for Multi-Inhabitant Sensor-Based Activity Recognition. - Luca Arrotta; Claudio Bettini; Gabriele Civitarese; Riccardo Presotto (MDM, 2020)

Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition. - Claudio Bettini; Gabriele Civitarese (PerCom Workshops, 2020)

ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition. - Claudio Bettini; Gabriele Civitarese; Davide Giancane; Riccardo Presotto (IEEE Access, 2020)

CAVIAR: Context-driven Active and Incremental Activity Recognition. - Claudio Bettini; Gabriele Civitarese; Riccardo Presotto (Knowl. Based Syst., 2020)

SmartWheels: Detecting urban features for wheelchair users' navigation. - Sergio Mascetti; Gabriele Civitarese; Omar El Malak; Claudio Bettini (Pervasive Mob. Comput., 2020)

The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data. - Luca Arrotta; Claudio Bettini; Gabriele Civitarese (MobiQuitous, 2021)

Explainable Activity Recognition over Interpretable Models. - Claudio Bettini; Gabriele Civitarese; Michele Fiori (PerCom Workshops, 2021)

Personalized Semi-Supervised Federated Learning for Human Activity Recognition. - Claudio Bettini; Gabriele Civitarese; Riccardo Presotto (CoRR, 2021)

Collaborative activity recognition with heterogeneous activity sets and privacy preferences. - Gabriele Civitarese; Juan Ye; Matteo Zampatti; Claudio Bettini (J. Ambient Intell. Smart Environ., 2021)

POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. - Gabriele Civitarese; Timo Sztyler; Daniele Riboni; Claudio Bettini; Heiner Stuckenschmidt (IEEE Trans. Knowl. Data Eng., 2021)

Explaining Human Activities Instances Using Deep Learning Classifiers. - Luca Arrotta; Gabriele Civitarese; Michele Fiori; Claudio Bettini (DSAA, 2022)

FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition. - Riccardo Presotto; Gabriele Civitarese; Claudio Bettini (PerCom, 2022)

Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition. - Riccardo Presotto; Gabriele Civitarese; Claudio Bettini (PerCom Workshops, 2022)

Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition. - Luca Arrotta; Gabriele Civitarese; Claudio Bettini (SMARTCOMP, 2022)

DeXAR: Deep Explainable Sensor-Based Activity Recognition in Smart-Home Environments. - Luca Arrotta; Gabriele Civitarese; Claudio Bettini (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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)

DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices. - Luca Arrotta; Gabriele Civitarese; Riccardo Presotto; Claudio Bettini (MDM, 2023)

GAJA - Guided self-Acquisition of Joint ultrAsound images. - Marco Colussi; Sergio Mascetti; Dragan Ahmetovic; Gabriele Civitarese; Marco Cacciatori; Flora Peyvandi; Roberta Gualtierotti; Sara Arcudi; Claudio Bettini (ASMUS@MICCAI, 2023)

SelfAct: Personalized Activity Recognition Based on Self-Supervised and Active Learning. - Luca Arrotta; Gabriele Civitarese; Claudio Bettini (MobiQuitous (1), 2023)

Keynote: Data Scarcity in Sensor-Based Human Activity Recognition. - Gabriele Civitarese (PerCom Workshops, 2023)

Is Querying Users Acceptable for Human Activity Recognition Based on Active Learning? - Riccardo Presotto; Gabriele Civitarese; Claudio Bettini (PerCom Workshops, 2023)

Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity. - Riccardo Presotto; Sannara Ek; Gabriele Civitarese; François Portet; Philippe Lalanda; Claudio Bettini (SMARTCOMP, 2023)

SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning. - Luca Arrotta; Gabriele Civitarese; Samuele Valente; Claudio Bettini (CoRR, 2023)

Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition. - Luca Arrotta; Gabriele Civitarese; Claudio Bettini (CoRR, 2023)

Ultrasound detection of subquadricipital recess distension. - Marco Colussi; Gabriele Civitarese; Dragan Ahmetovic; Claudio Bettini; Roberta Gualtierotti; Flora Peyvandi; Sergio Mascetti (Intell. Syst. Appl., 2023)

Probabilistic knowledge infusion through symbolic features for context-aware activity recognition. - Luca Arrotta; Gabriele Civitarese; Claudio Bettini (Pervasive Mob. Comput., 2023)

Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition. - Riccardo Presotto; Gabriele Civitarese; Claudio Bettini (Pervasive Mob. Comput., 2023)

MICAR: multi-inhabitant context-aware activity recognition in home environments. - Luca Arrotta; Claudio Bettini; Gabriele Civitarese (Distributed Parallel Databases, 2023)

Semantic Loss: A New Neuro-Symbolic Approach for Context-Aware Human Activity Recognition. - Luca Arrotta; Gabriele Civitarese; Claudio Bettini (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound Images. - Marco Colussi; Dragan Ahmetovic; Gabriele Civitarese; Claudio Bettini; Aiman Solyman; Roberta Gualtierotti; Flora Peyvandi; Sergio Mascetti (ASMUS@MICCAI, 2024)

Insights on the Development of PRACTICE, A Research-Oriented Healthcare Platform. - Dragan Ahmetovic; Alessio Angileri; Sara Arcudi; Claudio Bettini; Gabriele Civitarese; Marco Colussi; Andrea Giachi; Roberta Gualtierotti; Sergio Mascetti; Matteo Manzoni; Flora Peyvandi; Aiman Solyman; et al. (SMARTCOMP, 2024)

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models. - Luca Arrotta; Claudio Bettini; Gabriele Civitarese; Michele Fiori (SMARTCOMP, 2024)

Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition. - Sannara Ek; Riccardo Presotto; Gabriele Civitarese; François Portet; Philippe Lalanda; Claudio Bettini (CoRR, 2024)

Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition. - Michele Fiori; Gabriele Civitarese; Claudio Bettini (CoRR, 2024)

Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study. - Claudio Bettini; Azin Moradbeikie; Gabriele Civitarese (PerCom Workshops, 2025)

Large Language Models for Human Activity Recognition in Smart-Home. - Michele Fiori; Claudio Bettini; Gabriele Civitarese (PerCom Workshops, 2025)

Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework. - Luca Arrotta; Gabriele Civitarese; Xi Chen; Julien Cumin; Claudio Bettini (Expert Syst. Appl., 2025)

GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes. - Michele Fiori; Davide Mor; Gabriele Civitarese; Claudio Bettini (CoRR, 2025)

Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation. - Michele Fiori; Gabriele Civitarese; Priyankar Choudhary; Claudio Bettini (CoRR, 2025)

The SERENADE project: Sensor-Based Explainable Detection of Cognitive Decline. - Gabriele Civitarese; Michele Fiori; Andrea Arighi; Daniela Galimberti; Graziana Florio; Claudio Bettini (CoRR, 2025)

Large Language Models Are Zero-Shot Recognizers for Activities of Daily Living. - Gabriele Civitarese; Michele Fiori; Priyankar Choudhary; Claudio Bettini (ACM Trans. Intell. Syst. Technol., 2025)