Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography
Parkinson's disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods
Abstract One goal of Explainable Artificial Intelligence (XAI) is to interpret and explain the
inferential process of data-driven machine-learned models to make it comprehensible for …
inferential process of data-driven machine-learned models to make it comprehensible for …
[PDF][PDF] An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural …
Explaining the logic of a data-driven Machine Learning (ML) model can be seen as a
defeasible reasoning process that is likely non-monotonic. This means a conclusion linked …
defeasible reasoning process that is likely non-monotonic. This means a conclusion linked …
[HTML][HTML] ArgFrame: A multi-layer, web, argument-based framework for quantitative reasoning
L Rizzo - Software Impacts, 2023 - Elsevier
Multiple systems have been proposed to perform computational argumentation activities, but
there is a lack of options for dealing with quantitative inferences. This multi-layer, web …
there is a lack of options for dealing with quantitative inferences. This multi-layer, web …