SECRET: Semantically Enhanced Classification of Real-world Tasks

no code implementations • 29 May 2019 • Ayten Ozge Akmandor, Jorge Ortiz, Irene Manotas, Bongjun Ko, Niraj K. Jha

SECRET performs classifications by fusing the semantic information of the labels with the available data: it combines the feature space of the supervised algorithms with the semantic space of the NLP algorithms and predicts labels based on this joint space.

Classification General Classification

Time Series Segmentation through Automatic Feature Learning

no code implementations • 16 Jan 2018 • Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby Lee

As such, we have seen many recent IoT data sets include annotations with a human expert specifying states, recorded as a set of boundaries and associated labels in a data sequence.

Activity Recognition EEG +2