Support Vector Machine for soft fault location in electrical circuits. - Robert Salat; Stanislaw Osowski (J. Intell. Fuzzy Syst., 2011)

New approach to predicting proconvulsant activity with the use of Support Vector Regression. - Robert Salat; Kinga Salat (Comput. Biol. Medicine, 2012)

The application of support vector regression for prediction of the antiallodynic effect of drug combinations in the mouse model of streptozocin-induced diabetic neuropathy. - Robert Salat; Kinga Salat (Comput. Methods Programs Biomed., 2013)

Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach. - Robert Salat; Michal Awtoniuk (Neural Comput. Appl., 2015)