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Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
Artificial neural networks is one of the most commonly used machine learning algorithms in medical applications. However, they are still not used in practice in the clinics partly due to their lack of explanatory capacity. We compare two case-based explanation methods to two trained physicians on analysis of electrocardiogram (ECG) data from patients with a suspected acute coronary syndrome (ACS).
Characterizations of Aerosols Emitted from Handling of Dye Pigments in the Paint Manufacturing Industry
Teaching and Learning adaptation for International students - The case of Sweden
Semantic evaluations of silhouettes with different fractal dimension.
Industrial Customization of Digital Human Modelling Tools
Thin wideband absorber with optimal thickness (Invited)
Teoretikern som etnograf. Om förhållandet mellan teori och praktik i professionsinriktade utbildningar
Preliminära notiser kring detektorfynden från Uppåkra
Bringing cities in: the urbanization of critical peacebuilding
Clinical Applications of Diffusion Tensor Imaging.
Aged Security, Power, and Violence
Ord som kommer tillbaka men också en del nya ord
No title
Tidsreferns i arabiska perfekt i relativsatser
Book Review
Analys av en ny prissättning med effektkomponent för elkunder
Enbomaffären gav oss de förrädare tiden behövde
The Muselmann: Even in Sweden?
Studies of single-particle and many-body effects in deep-level spectra of simple metals
[abstract missing]