Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis. - Jovan Tanevski; Ljupco Todorovski; Yannis Kalaidzidis; Saso Dzeroski (Discovery Science, 2013)

Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis. - Jovan Tanevski; Ljupco Todorovski; Yannis Kalaidzidis; Saso Dzeroski (BMC Syst. Biol., 2015)

Learning stochastic process-based models of dynamical systems from knowledge and data. - Jovan Tanevski; Ljupco Todorovski; Saso Dzeroski (BMC Syst. Biol., 2016)

General Meta-Model Framework for Surrogate-Based Numerical Optimization. - Ziga Luksic; Jovan Tanevski; Saso Dzeroski; Ljupco Todorovski (DS, 2017)

Process-Based Modeling and Design of Dynamical Systems. - Jovan Tanevski; Nikola Simidjievski; Ljupco Todorovski; Saso Dzeroski (ECML/PKDD (3), 2017)

Decoupling approximation robustly reconstructs directed dynamical networks. - Nikola Simidjievski; Jovan Tanevski; Bernard Zenko; Zoran Levnajic; Ljupco Todorovski; Saso Dzeroski (CoRR, 2017)

Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. - Ziga Luksic; Jovan Tanevski; Saso Dzeroski; Ljupco Todorovski (IEEE Access, 2019)

Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite. - Jure Brence; Jovan Tanevski; Jennifer Adams; Edward Malina; Saso Dzeroski (DS, 2020)

Combinatorial search for selecting the structure of models of dynamical systems with equation discovery. - Jovan Tanevski; Ljupco Todorovski; Saso Dzeroski (Eng. Appl. Artif. Intell., 2020)

Multi-level information fusion for learning a blood pressure predictive model using sensor data. - Monika Simjanoska; Stefan Kochev; Jovan Tanevski; Ana Madevska Bogdanova; Gregor Papa; Tome Eftimov (Inf. Fusion, 2020)

DOT: Fast Cell Type Decomposition of Spatial Omics by Optimal Transport. - Arezou Rahimi; Luís A. Vale Silva; Maria Faelth Savitski; Jovan Tanevski; Julio Saez-Rodriguez (CoRR, 2023)

Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations. - Jure Brence; Jovan Tanevski; Jennifer Adams; Edward Malina; Saso Dzeroski (Mach. Learn., 2023)