Gabriele Civitarese

According to our database, Gabriele Civitarese authored at least 52 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition.

Michele Fiori, Gabriele Civitarese, Claudio Bettini

CoRR, 2024

Large Language Models are Zero-Shot Recognizers for Activities of Daily Living.

Gabriele Civitarese, Michele Fiori, Priyankar Choudhary, Claudio Bettini

CoRR, 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

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models.

Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Michele Fiori

Proceedings of the IEEE International Conference on Smart Computing, 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, Addolorata Truma

Proceedings of the IEEE International Conference on Smart Computing, 2024

LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound Images.

Marco Colussi, Dragan Ahmetovic, Gabriele Civitarese, Claudio Bettini, Aiman Solyman, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

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., December, 2023

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

Luca Arrotta, Claudio Bettini, Gabriele Civitarese

Distributed Parallel Databases, December, 2023

Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Pervasive Mob. Comput., January, 2023

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

Luca Arrotta, Gabriele Civitarese, Claudio Bettini

Pervasive Mob. Comput., 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

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

Luca Arrotta, Gabriele Civitarese, Claudio Bettini

CoRR, 2023

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

Luca Arrotta, Gabriele Civitarese, Samuele Valente, Claudio Bettini

CoRR, 2023

Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity.

Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Is Querying Users Acceptable for Human Activity Recognition Based on Active Learning?

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Keynote: Data Scarcity in Sensor-Based Human Activity Recognition.

Gabriele Civitarese

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 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

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

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

Luca Arrotta, Gabriele Civitarese, Riccardo Presotto, Claudio Bettini

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

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

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

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

Luca Arrotta, Gabriele Civitarese, Claudio Bettini

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

Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition.

Riccardo Presotto, Gabriele Civitarese, Claudio Bettini

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022

Explaining Human Activities Instances Using Deep Learning Classifiers.

Luca Arrotta, Gabriele Civitarese, Michele Fiori, Claudio Bettini

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

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

Collaborative activity recognition with heterogeneous activity sets and privacy preferences.

Gabriele Civitarese, Juan Ye, Matteo Zampatti, Claudio Bettini

J. Ambient Intell. Smart Environ., 2021

Personalized Semi-Supervised Federated Learning for Human Activity Recognition.

Claudio Bettini, Gabriele Civitarese, Riccardo Presotto

CoRR, 2021

Explainable Activity Recognition over Interpretable Models.

Claudio Bettini, Gabriele Civitarese, Michele Fiori

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

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

Luca Arrotta, Claudio Bettini, Gabriele Civitarese

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

2020

SmartWheels: Detecting urban features for wheelchair users' navigation.

Sergio Mascetti, Gabriele Civitarese, Omar El Malak, Claudio Bettini

Pervasive Mob. Comput., 2020

CAVIAR: Context-driven Active and Incremental Activity Recognition.

Claudio Bettini, Gabriele Civitarese, Riccardo Presotto

Knowl. Based Syst., 2020

ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition.

Claudio Bettini, Gabriele Civitarese, Davide Giancane, Riccardo Presotto

IEEE Access, 2020

Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition.

Claudio Bettini, Gabriele Civitarese

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Context-Aware Data Association for Multi-Inhabitant Sensor-Based Activity Recognition.

Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Riccardo Presotto

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

2019

<i>newNECTAR</i>: Collaborative active learning for knowledge-based probabilistic activity recognition.

Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt

Pervasive Mob. Comput., 2019

Context-driven Active and Incremental Activity Recognition.

Gabriele Civitarese, Riccardo Presotto, Claudio Bettini

CoRR, 2019

Automatic Detection of Urban Features from Wheelchair Users' Movements.

Gabriele Civitarese, Sergio Mascetti, Alberto Butifar, Claudio Bettini

Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

Human Activity Recognition in Smart-Home Environments for Health-Care Applications.

Gabriele Civitarese

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Hybrid data-driven and context-aware activity recognition with mobile devices.

Gabriele Civitarese, Riccardo Presotto, Claudio Bettini

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018

HUMAN ACTIVITY RECOGNITION IN SMART-HOME ENVIRONMENTS FOR HEALTH-CARE APPLICATIONS.

Gabriele Civitarese

PhD thesis, 2018

Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities.

Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition.

Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

2017

Monitoring objects manipulations to detect abnormal behaviors.

Gabriele Civitarese, Claudio Bettini

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Behavioral monitoring in smart-home environments for health-care applications.

Gabriele Civitarese

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

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

Analysis of long-term abnormal behaviors for early detection of cognitive decline.

Daniele Riboni, Gabriele Civitarese, Claudio Bettini

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning.

Daniele Riboni, Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Let the objects tell what you are doing.

Gabriele Civitarese, Stefano Belfiore, Claudio Bettini

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

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

Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment.

Daniele Riboni, Claudio Bettini, Gabriele Civitarese, Zaffar Haider Janjua, Rim Helaoui

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 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

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

Demo abstract: Demonstration of the FABER system for fine-grained recognition of abnormal behaviors.

Gabriele Civitarese, Zaffar Haider Janjua, Daniele Riboni, Claudio Bettini

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015