The Client :
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost RS
Project type:
ARRS research programmes
Project duration:
2015 -
2020
Description
The development of methods for evaluation of reliability of prediction in classification and regression and their incorporation into existing machine learning systems.
The development of methods for parametrization of images and for image mining on different levels of abstraction and their application in various medical diagnostic problems (such as a whole body scintigraphy, and scintigraphy of coronary vessels).
The development of algorithms for feature evaluation in classification and regression that take into account various interactions between attributes, and their integration into the existing machine learning and data mining systems.
The development and practical implementation of the methodology for connection between machine learning and data bases.
The development of methods for explaining the prediction in classification and regression and various applications of developed methods (for example in medical diagnosis).
