A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains. - Vasileios C. Pezoulas; Grigoris I. Grigoriadis; George Gkois; Nikolaos S. Tachos; Tim Smole; Zoran Bosnic; Matej Piculin; Iacopo Olivotto; Fausto Barlocco; Marko Robnik-Sikonja; Djordje G. Jakovljevic; Andreas Goules; et al. (Comput. Biol. Medicine, 2021)

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. - Tim Smole; Bojan Zunkovic; Matej Piculin; Enja Kokalj; Marko Robnik-Sikonja; Matjaz Kukar; Dimitrios I. Fotiadis; Vasileios C. Pezoulas; Nikolaos S. Tachos; Fausto Barlocco; Francesco Mazzarotto; Dejana Popovic; et al. (Comput. Biol. Medicine, 2021)

Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values. - Gregor Guncar; Matjaz Kukar; Tim Smole; Saso Moskon; Tomaz Vovko; Simon Podnar; Peter Cernelc; Miran Brvar; Mateja Notar; Manca Köster; Marjeta Tusek Jelenc; Marko Notar (CoRR, 2023)