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Article
Open AccessFractal 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) signal analysis can provide reliable i...
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Chapter and Conference Paper
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vector Machines
The use of Multiple Kernel Learning (MKL) for Support Vector Machines (SVM) in Machine Learning tasks is a growing field of study. MKL kernels expand on traditional base kernels that are used to improve perfor...
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Chapter and Conference Paper
An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers
Research on the discovery, classification and validation of biological markers, or biomarkers, have grown extensively in the last decades. Newfound and correctly validated biomarkers have great potential as pr...
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Chapter
Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning
Modern machine Learning is devoted to the construction of algorithms and computational procedures that can automatically improve with experience and learn from data. Defeasible argumentation has emerged as sub...
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Chapter and Conference Paper
Cognitive Effort for Multi-agent Systems
Cognitive Effort is a multi-faceted phenomenon that has suffered from an imperfect understanding, an informal use in everyday life and numerous definitions. This paper attempts to clarify the concept, along wi...