Python toolbox for tensor decompositions, statistical analysis, visualisation, feature extraction, regression and non-linear classification of multi-dimensional data.

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A series of interactive tutorials on efficient representation of multi-dimensional data, fundamental tensor decompositions with theoretical background and introduce api of the recently developed python library hottbox. No installation required.

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Tutorial suitable for the multidisciplinary machine learning and data analytic communities, together with offering the attendees an enhanced experience and a hands-on insight into immediate practical aspects and impact of the tensor technology.

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A novel in-ear sensor which satisfies key design requirements for wearable electroencephalography (EEG)-it is discreet, unobtrusive, and capable of capturing high-quality brain activity from the ear canal. Our approach represents a departure from silicone earmoulds to provide a sensor based on a viscoelastic substrate and conductive cloth electrodes, both of which are shown to possess a number of desirable mechanical and electrical properties.

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The monitoring of sleep patterns without patient's inconvenience or involvement of a medical specialist is a clinical question of significant importance. To this end, we work on an automatic sleep stage monitoring system based on an affordable, unobtrusive, discreet, and long-term wearable in-ear sensor for recording the electroencephalogram

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