XAIface: a framework and toolkit for explainable face recognition

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The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...

Specifying utility functions is a key step towards applying the discrete choice framework for understanding the behaviour processes that govern user choices. However, identifying the utility function specifications that best model and explain the observed ...

Background Stroke survivors often suffer from mobility deficits. Current clinical evaluation methods, including questionnaires and motor function tests, cannot provide an objective measure of the patients’ mobility in daily life. Physical activity performa ...

A recent internet based survey of over 35'000 samples has shown that when different human observers are asked to assign labels to static human facial expressions, different individuals categorize differently the same image. This fact results in a lack of a ...

Computer systems keep growing in complexity, processing power and inter-connectivity. To leverage this rich environment and better assist users, a new type of intelligent assistant software is required. Building intelligent assistants is a difficult task t ...

XAIface: a framework and toolkit for explainable face recognition

Chat with Graph Search

Towards Empathetic Open-Domain Chatbots

Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models

Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients

Modelling human perception of static facial expressions

Active, a platform for building intelligent software