Giuseppe Sartori

TL;DR: Support-Vector-Machine has been successfully applied in the context of disease diagnosis, transition prediction and treatment prognosis, using both structural and functional neuroimaging data, and those studies that applied it to the investigation of Alzheimer's disease, schizophrenia, major depression, bipolar disorder, presymptomatic Huntington's disease and autistic spectrum disorder are reviewed.

TL;DR: Eight of 17 interventions were effective at reducing implicit preferences for Whites compared with Blacks, particularly ones that provided experience with counterstereotypical exemplars, used evaluative conditioning methods, and provided strategies to override biases.

TL;DR: This paper conducted a research contest to compare interventions for reducing the expression of implicit racial prejudice and found that the most potent interventions were those that invoked high self-involvement or linked Black people with positivity and White people with negativity.

TL;DR: In this paper, the authors report an investigation conducted on a brain-damaged patient who presents a selective impairment in processing elements of some semantic categories, in particular animals, fruit, and vegetables.

TL;DR: The role of the Phoneme-to-grapheme conversion system and of the Graphemic Output Buffer in writing was discussed by Miller and Ellis in this article.