10 research outputs found
End-User Development of Voice User Interfaces based on Web content
Get PDFVoice Assistants, and particularly the latest gadgets called smart speakers, allow end users to interact with applications by means of voice commands. As usual, end users are able to install applications (also called skills) that are available in repositories and fulfill multiple purposes. In this work we present an end-user environment to define skills for voice assistants based on the extraction of Web content and their organization into different voice navigation patterns. We describe the approach, the end-user development environment, and finally we present some case studies based on Alexa and Amazon Echo
Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
Full text linkEarly classification of multivariate temporal observations by extraction of interpretable shapelets
Get PDFEarly failure detection of paper manufacturing machinery using nearest neighbor‐based feature extraction
No full textFeature Extraction over Multiple Representations for Time Series Classification
No full textInternational audienceno abstrac
A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations
No full text
