Classification of cognitive load using voice features: A preliminary investigation. - Igor Mijic; Marko Sarlija; Davor Petrinovic (CogInfoCom, 2017)

A convolutional neural network based approach to QRS detection. - Marko Sarlija; Fran Jurisic; Sinisa Popovic (ISPA, 2017)

MMOD-COG: A Database for Multimodal Cognitive Load Classification. - Igor Mijic; Marko Sarlija; Davor Petrinovic (ISPA, 2019)

New Tools and Methods in Selection of Air Traffic Controllers Based on Multimodal Psychophysiological Measurements. - Kresimir Cosic; Sinisa Popovic; Marko Sarlija; Igor Mijic; Mirko Kokot; Ivan Kesedzic; Gary Strangman; Vladimir Ivkovic; Quan Zhang (IEEE Access, 2019)

Stress Resilience Assessment Based on Physiological Features in Selection of Air Traffic Controllers. - Kresimir Cosic; Marko Sarlija; Vladimir Ivkovic; Quan Zhang; Gary Strangman; Sinisa Popovic (IEEE Access, 2019)

Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture. - Clarence Tan; Marko Sarlija; Nikola K. Kasabov (Neural Process. Lett., 2020)

Classification of Cognitive Load based on Oculometric Features. - Mate Gambiraza; Ivan Kesedzic; Marko Sarlija; Sinisa Popovic; Kresimir Cosic (MIPRO, 2021)

NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns. - Clarence Tan; Marko Sarlija; Nikola K. Kasabov (Neurocomputing, 2021)

Prediction of Task Performance From Physiological Features of Stress Resilience. - Marko Sarlija; Sinisa Popovic; Marko Jagodic; Tanja Jovanovic; Vladimir Ivkovic; Quan Zhang; Gary Strangman; Kresimir Cosic (IEEE J. Biomed. Health Informatics, 2021)

Prediction of human performance based on psychophysiological features of resilience and machine learning ; Predvidanje performanci ljudi temeljeno na psihofiziološkim značajkama rezilijentnosti i na strojnom učenju. - Marko Sarlija (2021)