Search versus Knowledge: An Empirical Study of Minimax on KRK. - Aleksander Sadikov; Ivan Bratko; Igor Kononenko 001 (ACG, 2003)

GDV Measures Vitality? - Igor Kononenko 001; Miha Sedej; Aleksander Sadikov (CBMS, 2005)

Bias and pathology in minimax search. - Aleksander Sadikov; Ivan Bratko; Igor Kononenko 001 (Theor. Comput. Sci., 2005)

Search Versus Knowledge Revisited Again. - Aleksander Sadikov; Ivan Bratko (Computers and Games, 2006)

Automated Chess Tutor. - Aleksander Sadikov; Martin Mozina; Matej Guid; Jana Krivec; Ivan Bratko (Computers and Games, 2006)

Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search. - Aleksander Sadikov; Ivan Bratko (ECAI, 2006)

Learning long-term chess strategies from databases. - Aleksander Sadikov; Ivan Bratko (Mach. Learn., 2006)

Learning Positional Features for Annotating Chess Games: A Case Study. - Matej Guid; Martin Mozina; Jana Krivec; Aleksander Sadikov; Ivan Bratko (Computers and Games, 2008)

Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. - Martin Mozina; Matej Guid; Jana Krivec; Aleksander Sadikov; Ivan Bratko (ECAI, 2008)

LRTA. - Aleksander Sadikov; Ivan Bratko (ECAI, 2008)

Deriving Concepts and Strategies from Chess Tablebases. - Matej Guid; Martin Mozina; Aleksander Sadikov; Ivan Bratko (ACG, 2009)

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

Learning to Explain with ABML. - Martin Mozina; Matej Guid; Jana Krivec; Aleksander Sadikov; Ivan Bratko (ExaCt, 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)

Building an Intelligent Tutoring System for Chess Endgames. - Matej Guid; Martin Mozina; Ciril Bohak; Aleksander Sadikov; Ivan Bratko (CSEDU, 2013)

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)

Rewrite Rules for Debugging Student Programs in Programming Tutors. - Timotej Lazar; Aleksander Sadikov; Ivan Bratko (IEEE Trans. Learn. Technol., 2018)

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)

Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. - Marco Cotogni; Lucia Sacchi; Dejan Georgiev; Aleksander Sadikov (AIME, 2021)

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)

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)

Machine Learning Models for Predicting Suicidal Ideation, Depression, Anxiety, and Stress in the General Population. - Teodora Matic; Aleksander Sadikov; Peter Pregelj; Polona Rus Prelog (AIME (2), 2025)