Multi-label Classification Using Random Label Subset Selections. - Martin Breskvar; Dragi Kocev; Saso Dzeroski (DS, 2017)

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. - Matej Petkovic; Redouane Boumghar; Martin Breskvar; Saso Dzeroski; Dragi Kocev; Jurica Levatic; Luke Lucas; Aljaz Osojnik; Bernard Zenko; Nikola Simidjievski (CoRR, 2018)

Ensembles for multi-target regression with random output selections. - Martin Breskvar; Dragi Kocev; Saso Dzeroski (Mach. Learn., 2018)

Predicting Associations Between Proteins and Multiple Diseases. - Martin Breskvar; Saso Dzeroski (ISMIS, 2020)

Modeling the Association Between Prenatal Exposure to Mercury and Neurodevelopment of Children. - Stefan Popov; Janja Snoj Tratnik; Martin Breskvar; Darja Mazej; Milena Horvat; Saso Dzeroski (ICT Innovations, 2021)

Relating Prenatal Hg Exposure and Neurological Development in Children with Machine Learning. - Stefan Popov; Janja Snoj Tratnik; Martin Breskvar; Darja Mazej; Milena Horvat; Saso Dzeroski (MIPRO, 2021)

Multi-Target Regression Rules With Random Output Selections. - Martin Breskvar; Saso Dzeroski (IEEE Access, 2021)

CLUSplus: A decision tree-based framework for predicting structured outputs. - Matej Petkovic; Jurica Levatic; Dragi Kocev; Martin Breskvar; Saso Dzeroski (SoftwareX, 2023)