RT Dissertation/Thesis
T1 Two-dimensional visualization of classification and regression problems. Automatic prediction of behavior from sensory data in autism spectrum disorder
A1 Alateyat, Heba Basheer Saeed
K1 aprendizaje automático
K1 visualización 2D
K1 clasificación
K1 regresión
K1 desorden de espectro autista
K1 comportamiento
K1 procesamiento sensorial
AB This thesis formulates methods to perform classification andregression by projecting high-dimensional patterns in twodimensions. These methods create a 2D classification orregression map to visualize the data as a political (forclassification) or temperature (for regression) map, where eachpixel in the map has an associated prediction. The thesis alsouses 26 machine learning models for the automatic predictionof behavior in the treatment of autism spectrum disorder usingsensory processing information. Behavior and sensory data areextracted from their respective questionnaires. Out of 11behavior outcomes, the prediction of externalizing problems isvery reliable and accurate enough in other 7 outcomes.
YR 2023
FD 2023
LK http://hdl.handle.net/10347/30749
UL http://hdl.handle.net/10347/30749
LA eng
DS Minerva
RD 23 abr 2026