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Hierarchical Learning of Dependent Concepts for Human Activity Recognition.

, , and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 79-92. Springer, (2021)

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Bayesian Optimization of Neural Architectures for Human Activity Recognition., and . Human Activity Sensing, Springer, (2019)Data Generation Process Modeling for Activity Recognition., and . ECML/PKDD (4), volume 12460 of Lecture Notes in Computer Science, page 374-390. Springer, (2020)Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing Environments., and . ECML/PKDD (3), volume 13715 of Lecture Notes in Computer Science, page 647-663. Springer, (2022)A multi-view architecture for the SHL challenge., , and . UbiComp/ISWC Adjunct, page 317-322. ACM, (2020)Modélisation du processus de génération de données pour la reconnaissance d'activités., and . EGC, volume E-37 of RNTI, page 405-412. Éditions RNTI, (2021)Metalearning guided by domain knowledge in distributed and decentralized applications. (Méta-apprentissage guidé par les connaissances du domaine).. Paris 13 University, Villetaneuse, France, (2022)Machine Learning Approach for Infant Cry Interpretation., , and . ICTAI, page 182-186. IEEE Computer Society, (2017)Monitoring of a Dynamic System Based on Autoencoders., , and . IJCAI, page 1836-1843. ijcai.org, (2019)Domain models for data sources integration in HAR., and . Neurocomputing, (2021)Platform for Assessment and Monitoring of Infant Comfort., , and . AAAI Fall Symposia, page 36-44. AAAI Press, (2017)