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Gabriele Civitarese
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2020 – today
- 2024
- [c29]Marco Colussi, Dragan Ahmetovic, Gabriele Civitarese, Claudio Bettini, Aiman Solyman, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti:
LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound Images. ASMUS@MICCAI 2024: 198-208 - [c28]Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Michele Fiori
:
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models. SMARTCOMP 2024: 55-62 - [c27]Dragan Ahmetovic
Insights on the Development of PRACTICE, A Research-Oriented Healthcare Platform. SMARTCOMP 2024: 380-385 - [i11]Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Michele Fiori:
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models. CoRR abs/2403.06586 (2024) - [i10]Sannara Ek, Riccardo Presotto, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini:
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition. CoRR abs/2404.15331 (2024) - [i9]Gabriele Civitarese, Michele Fiori, Priyankar Choudhary, Claudio Bettini:
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living. CoRR abs/2407.01238 (2024) - [i8]Michele Fiori, Gabriele Civitarese, Claudio Bettini:
Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition. CoRR abs/2408.06352 (2024) - 2023
- [j14]Luca Arrotta, Claudio Bettini, Gabriele Civitarese
MICAR: multi-inhabitant context-aware activity recognition in home environments. Distributed Parallel Databases 41(4): 571-602 (2023) - [j13]Luca Arrotta
Semantic Loss: A New Neuro-Symbolic Approach for Context-Aware Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 147:1-147:29 (2023) - [j12]Marco Colussi
Ultrasound detection of subquadricipital recess distension. Intell. Syst. Appl. 17: 200183 (2023) - [j11]Riccardo Presotto
Federated Clustering and Semi-Supervised learning: A new partnership for personalized Human Activity Recognition. Pervasive Mob. Comput. 88: 101726 (2023) - [j10]Luca Arrotta
Probabilistic knowledge infusion through symbolic features for context-aware activity recognition. Pervasive Mob. Comput. 91: 101780 (2023) - [c26]Luca Arrotta, Gabriele Civitarese
DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices. MDM 2023: 346-351 - [c25]Marco Colussi
GAJA - Guided self-Acquisition of Joint ultrAsound images. ASMUS@MICCAI 2023: 132-141 - [c24]Gabriele Civitarese:
Keynote: Data Scarcity in Sensor-Based Human Activity Recognition. PerCom Workshops 2023: 420 - [c23]Riccardo Presotto, Gabriele Civitarese
Is Querying Users Acceptable for Human Activity Recognition Based on Active Learning? PerCom Workshops 2023: 521-526 - [c22]Riccardo Presotto, Sannara Ek, Gabriele Civitarese
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity. SMARTCOMP 2023: 33-40 - [i7]Luca Arrotta, Gabriele Civitarese
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning. CoRR abs/2304.09530 (2023) - [i6]Luca Arrotta, Gabriele Civitarese, Claudio Bettini:
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition. CoRR abs/2306.05058 (2023) - [i5]Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini:
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity. CoRR abs/2306.13735 (2023) - 2022
- [j9]Luca Arrotta, Gabriele Civitarese
DeXAR: Deep Explainable Sensor-Based Activity Recognition in Smart-Home Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 1:1-1:30 (2022) - [j8]Riccardo Presotto, Gabriele Civitarese
Semi-supervised and personalized federated activity recognition based on active learning and label propagation. Pers. Ubiquitous Comput. 26(5): 1281-1298 (2022) - [c21]Luca Arrotta, Gabriele Civitarese
Explaining Human Activities Instances Using Deep Learning Classifiers. DSAA 2022: 1-10 - [c20]Riccardo Presotto, Gabriele Civitarese
FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition. PerCom 2022: 227-236 - [c19]Riccardo Presotto, Gabriele Civitarese
Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition. PerCom Workshops 2022: 304-309 - [c18]Luca Arrotta, Gabriele Civitarese
Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition. SMARTCOMP 2022: 1-8 - [i4]Marco Colussi
Ultrasound Detection of Subquadricipital Recess Distension. CoRR abs/2211.12089 (2022) - 2021
- [j7]Gabriele Civitarese
Collaborative activity recognition with heterogeneous activity sets and privacy preferences. J. Ambient Intell. Smart Environ. 13(6): 433-452 (2021) - [j6]Gabriele Civitarese
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. IEEE Trans. Knowl. Data Eng. 33(1): 209-223 (2021) - [c17]Luca Arrotta, Claudio Bettini, Gabriele Civitarese
The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data. MobiQuitous 2021: 451-468 - [c16]Claudio Bettini, Gabriele Civitarese
Explainable Activity Recognition over Interpretable Models. PerCom Workshops 2021: 32-37 - [e1]Juan Ye
Wireless Mobile Communication and Healthcare - 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 362, Springer 2021, ISBN 978-3-030-70568-8 [contents] - [i3]Claudio Bettini, Gabriele Civitarese, Riccardo Presotto:
Personalized Semi-Supervised Federated Learning for Human Activity Recognition. CoRR abs/2104.08094 (2021) - 2020
- [j5]Claudio Bettini
ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition. IEEE Access 8: 146876-146886 (2020) - [j4]Claudio Bettini, Gabriele Civitarese
CAVIAR: Context-driven Active and Incremental Activity Recognition. Knowl. Based Syst. 196: 105816 (2020) - [j3]Sergio Mascetti, Gabriele Civitarese
SmartWheels: Detecting urban features for wheelchair users' navigation. Pervasive Mob. Comput. 62: 101115 (2020) - [c15]Luca Arrotta, Claudio Bettini, Gabriele Civitarese
Context-Aware Data Association for Multi-Inhabitant Sensor-Based Activity Recognition. MDM 2020: 125-130 - [c14]Claudio Bettini, Gabriele Civitarese
Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition. PerCom Workshops 2020: 1-6
2010 – 2019
- 2019
- [j2]Gabriele Civitarese
newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive Mob. Comput. 56: 88-105 (2019) - [c13]Gabriele Civitarese
Hybrid data-driven and context-aware activity recognition with mobile devices. UbiComp/ISWC Adjunct 2019: 266-267 - [c12]Gabriele Civitarese:
Human Activity Recognition in Smart-Home Environments for Health-Care Applications. PerCom Workshops 2019: 1 - [c11]Gabriele Civitarese
Automatic Detection of Urban Features from Wheelchair Users' Movements. PerCom 2019: 1-10 - [i2]Gabriele Civitarese, Riccardo Presotto, Claudio Bettini:
Context-driven Active and Incremental Activity Recognition. CoRR abs/1906.03033 (2019) - 2018
- [b1]Gabriele Civitarese:
HUMAN ACTIVITY RECOGNITION IN SMART-HOME ENVIRONMENTS FOR HEALTH-CARE APPLICATIONS. University of Milan, Italy, 2018 - [c10]Gabriele Civitarese
NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition. PerCom 2018: 1-10 - [c9]Timo Sztyler, Gabriele Civitarese
Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities. PerCom Workshops 2018: 259-264 - 2017
- [c8]Gabriele Civitarese
Behavioral monitoring in smart-home environments for health-care applications. PerCom Workshops 2017: 105-106 - [c7]Gabriele Civitarese
Monitoring objects manipulations to detect abnormal behaviors. PerCom Workshops 2017: 388-393 - 2016
- [j1]Daniele Riboni
SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment. Artif. Intell. Medicine 67: 57-74 (2016) - [c6]Daniele Riboni, Timo Sztyler
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. UbiComp 2016: 1-12 - [c5]Gabriele Civitarese
Let the objects tell what you are doing. UbiComp Adjunct 2016: 773-782 - [c4]Daniele Riboni, Gabriele Civitarese
Analysis of long-term abnormal behaviors for early detection of cognitive decline. PerCom Workshops 2016: 1-6 - 2015
- [c3]Daniele Riboni, Claudio Bettini
Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment. PerCom 2015: 149-154 - [c2]Gabriele Civitarese
Demo abstract: Demonstration of the FABER system for fine-grained recognition of abnormal behaviors. PerCom Workshops 2015: 199-201 - [c1]Daniele Riboni, Claudio Bettini
From lab to life: Fine-grained behavior monitoring in the elderly's home. PerCom Workshops 2015: 342-347 - [i1]Daniele Riboni, Claudio Bettini, Gabriele Civitarese, Zaffar Haider Janjua, Rim Helaoui:
Extended Report: Fine-grained Recognition of Abnormal Behaviors for Early Detection of Mild Cognitive Impairment. CoRR abs/1501.05581 (2015)
Coauthor Index
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last updated on 2024-10-17 21:33 CEST by the dblp team
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