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We develop methodologies and apply machine-learning algorithms to a database of ALS patients to expose and model underlying mechanisms and relations in the disease. We view the disease state as an ordinal variable (with values between 4 for normal function and 0 for complete loss of function), and show that ordinal classification applied to the data has an advantage over classification that does not...
Multi-script writer identification consists in identifying a person of a given text written in one script from the samples of the same person written in another script. The rationale behind this is that the writing style of an individual remains constant across different scripts. While this hypothesis may hold, recent results on a multi-script writer identification competition show that classical...
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