Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. - Martin Mozina; Matej Guid; Aleksander Sadikov; Vida Groznik; Jana Krivec; Ivan Bratko (EDM, 2010)

Elicitation of Neurological Knowledge with ABML. - Vida Groznik; Matej Guid; Aleksander Sadikov; Martin Mozina; Dejan Georgiev; Veronika Kragelj; Samo Ribaric; Zvezdan Pirtosek; Ivan Bratko (AIME, 2011)

ABML Knowledge Refinement Loop: A Case Study. - Matej Guid; Martin Mozina; Vida Groznik; Dejan Georgiev; Aleksander Sadikov; Zvezdan Pirtosek; Ivan Bratko (ISMIS, 2012)

Goal-Oriented Conceptualization of Procedural Knowledge. - Martin Mozina; Matej Guid; Aleksander Sadikov; Vida Groznik; Ivan Bratko (ITS, 2012)

Elicitation of neurological knowledge with argument-based machine learning. - Vida Groznik; Matej Guid; Aleksander Sadikov; Martin Mozina; Dejan Georgiev; Veronika Kragelj; Samo Ribaric; Zvezdan Pirtosek; Ivan Bratko (Artif. Intell. Medicine, 2013)

ParkinsonCheck Smart Phone App. - Aleksander Sadikov; Vida Groznik; Jure Zabkar; Martin Mozina; Dejan Georgiev; Zvezdan Pirtosek; Ivan Bratko (ECAI, 2014)

Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. - Vida Groznik; Aleksander Sadikov; Martin Mozina; Jure Zabkar; Dejan Georgiev; Ivan Bratko (ICHI, 2014)

Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. - Vida Groznik; Martin Mozina; Jure Zabkar; Dejan Georgiev; Ivan Bratko; Aleksander Sadikov (Health Monitoring and Personalized Feedback using Multimedia Data, 2015)

Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease. - Aleksander Sadikov; Jure Zabkar; Martin Mozina; Vida Groznik; Dag Nyholm; Mevludin Memedi (AIME, 2015)

Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease. - Mevludin Memedi; Aleksander Sadikov; Vida Groznik; Jure Zabkar; Martin Mozina; Filip Bergquist; Anders Johansson; Dietrich Haubenberger; Dag Nyholm (Sensors, 2015)

Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. - Aleksander Sadikov; Vida Groznik; Martin Mozina; Jure Zabkar; Dag Nyholm; Mevludin Memedi; Ivan Bratko; Dejan Georgiev (Artif. Intell. Medicine, 2017)

Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. - Teodora Matic; Somayeh Aghanavesi; Mevludin Memedi; Dag Nyholm; Filip Bergquist; Vida Groznik; Jure Zabkar; Aleksander Sadikov (AIME, 2019)

Artificial Intelligence Methods for Modelling Tremor Mechanisms. - Vida Groznik (Informatica (Slovenia), 2020)

Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. - Alessia Gerbasi; Vida Groznik; Dejan Georgiev; Lucia Sacchi; Aleksander Sadikov (AIME, 2021)

Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. - Vida Groznik; Martin Mozina; Timotej Lazar; Dejan Georgiev; Aleksander Sadikov (BHI, 2021)

Predicting the Gullibility of Users from their Online Behaviour. - Mateja Jovanovic; Vida Groznik; Marko Tkalcic (HCI-SI, 2021)

MRI Reconstruction with LassoNet and Compressed Sensing. - Andrea De Gobbis; Aleksander Sadikov; Vida Groznik (AIME, 2022)

Awareness of Being Tested and Its Effect on Reading Behaviour. - Marta Malavolta; Emiliano Trimarco; Vida Groznik; Aleksander Sadikov (AIME, 2022)

Eye-tracking test battery for detecting cognitive impairments in premature children. - Andrea De Gobbis; Marta Malavolta; Emiliano Trimarco; Isabel Benavente-Fernández; Simón Pedro Lubián-López; Aleksander Sadikov; Vida Groznik (DETERMINED, 2022)

A new median filter application to deal with large windows of missing data in eye-gaze measurements. - Arnaud Gucciardi; Monica Crotti; Nofar Ben Itzhak; Lisa Mailleux; Els Ortibus; Umberto Michelucci; Vida Groznik; Aleksander Sadikov (DETERMINED, 2022)

Eye-tracking test battery for newborns: A pilot feasibility study. - Marta Malavolta; Andrea De Gobbis; Emiliano Trimarco; Isabel Benavente-Fernández; Simón Pedro Lubián-López; Vida Groznik; Aleksander Sadikov (DETERMINED, 2022)

Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis. - Arnaud Gucciardi; Safouane El Ghazouali; Francesca Venturini; Vida Groznik; Umberto Michelucci (CoRR, 2024)