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Indoor human activity recognition using high-dimensional sensors and deep neural networks.

, , , , , and . Neural Comput. Appl., 32 (16): 12295-12309 (2020)

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Spatio-Temporal Wardrobe Generation of Actors' Clothing in Video Content., , , , and . HCI (3), volume 9733 of Lecture Notes in Computer Science, page 448-459. Springer, (2016)What are we missing? An empirical exploration in the structural biases of hashtag-based sampling on Twitter., , , , and . First Monday, (2017)An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks., , , , , and . ICMR, page 409-412. ACM, (2016)Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes., , , , and . EANN, volume 893 of Communications in Computer and Information Science, page 16-27. Springer, (2018)Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering., , , , and . MediaEval, volume 1043 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression., , , , , , , , , and . EMBC, page 674-677. IEEE, (2018)Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network., , , , and . ICACCI, page 362-368. IEEE, (2014)Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems., , , , , and . CoRR, (2021)Automatic GEO-MASHUP generation of outdoor activities., , , , , and . MoMM, page 100. ACM, (2013)Indoor Person Identification Using a Low-Power FMCW Radar., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (7): 3941-3952 (2018)