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青云加速器2024年-快连加速器app

UCLIC Research Seminar 8th of July: Ahmed Alqaraawi (University College London). Evaluating Saliency Map Explanations for Convolutional Neural Networks

Convolutional neural networks (CNNs) offer great machine learning performance over a range of applications, but their operation is hard to interpret, even for experts. Various explanation algorithms have been proposed to address this issue, yet limited research effort has been reported concerning…

UCLIC Welcomes Three New Staff Members!

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UCLIC Research Seminar 24th of June: Amid Ayobi (University College London and University of Bristol). Trackly: A Customisable and Pictorial Self-Tracking App to Support Agency in Multiple Sclerosis Self-Care

Self-tracking is for many people an important part of understanding and managing their health and wellbeing. However, predefined self-tracking approaches can impede people's self-care agency. In this talk, I will share the findings of our recent CHI paper that addresses this issue. We investigated…

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