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Disambiguation of "Civitarese, Gabriele"

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

, , and . Pervasive Mob. Comput., (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Gabriele Graefen

Der wissenschaftliche Artikel: Textart und Textorganisation. Uni Dortmund, (1996)

Gabriele Bönemann

Gabriele Heidl

Giuseppina Gabriele

Gabriele Lehmann

 

Other publications of authors with the same name

The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data., , and . MobiQuitous, volume 419 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 451-468. Springer, (2021)Let the objects tell what you are doing., , and . UbiComp Adjunct, page 773-782. ACM, (2016)Is Querying Users Acceptable for Human Activity Recognition Based on Active Learning?, , and . PerCom Workshops, page 521-526. IEEE, (2023)Towards Active Learning Interfaces for Multi-Inhabitant Activity Recognition., and . PerCom Workshops, page 1-6. IEEE, (2020)Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition., , , , , and . CoRR, (2024)Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition., , and . PerCom Workshops, page 304-309. IEEE, (2022)Explainable Activity Recognition over Interpretable Models., , and . PerCom Workshops, page 32-37. IEEE, (2021)FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition., , and . PerCom, page 227-236. IEEE, (2022)Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning., , , and . UbiComp, page 1-12. ACM, (2016)NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition., , , , and . PerCom, page 1-10. IEEE Computer Society, (2018)