Computer Analysis of Chess Champions. - Matej Guid; Ivan Bratko (Computers and Games, 2006)

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

Computer Analysis of World Chess Champions. - Matej Guid; Ivan Bratko (J. Int. Comput. Games Assoc., 2006)

Factors Affecting Diminishing Returns for Searching Deeper. - Matej Guid; Ivan Bratko (J. Int. Comput. Games Assoc., 2007)

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)

How Trustworthy is Crafty's Analysis of Chess Champions? - Matej Guid; Aritz Pérez; Ivan Bratko (J. Int. Comput. Games Assoc., 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)

Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. - Matej Guid; Ivan Bratko (J. Int. Comput. Games Assoc., 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)

Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception. - Azlan Iqbal; Harold M. J. F. van der Heijden; Matej Guid; Ali Makhmali (IEEE Trans. Comput. Intell. AI Games, 2012)

Search-Based Estimation of Problem Difficulty for Humans. - Matej Guid; Ivan Bratko (AIED, 2013)

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)

Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop. - Matej Zapusek; Martin Mozina; Ivan Bratko; Joze Rugelj; Matej Guid (Intelligent Tutoring Systems, 2014)

Development of a Program for Playing Progressive Chess. - Vito Janko; Matej Guid (ACG, 2015)

The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity. - Azlan Iqbal; Matej Guid; Simon Colton; Jana Krivec; Shazril Azman; Boshra Haghighi (CoRR, 2015)

A program for Progressive chess. - Vito Janko; Matej Guid (Theor. Comput. Sci., 2016)

Influence of Search Depth on Position Evaluation. - Matej Guid; Ivan Bratko (ACG, 2017)

Advances in Computer Games 2017. - Mark H. M. Winands; Richard Lorentz; Matej Guid (J. Int. Comput. Games Assoc., 2017)

Automated Feedback Generation for Argument-Based Intelligent Tutoring Systems. - Matej Guid; Matevz Pavlic; Martin Mozina (CSEDU (1), 2019)

Learning by Arguing in Argument-Based Machine Learning Framework. - Matej Guid; Martin Mozina; Matevz Pavlic; Klemen Tursic (ITS, 2019)

The influence of context on information processing. - Jana Krivec; Matej Guid (Cogn. Process., 2020)

Automatic Recognition of Similar Chess Motifs. - Miha Bizjak; Matej Guid (ACG, 2021)

Identification and conceptualization of procedural chunks in chess. - Jana Krivec; Ivan Bratko; Matej Guid (Cogn. Syst. Res., 2021)

Predicting Problem Difficulty in Chess. - Ivan Bratko; Dayana Hristova; Matej Guid (Human-Like Machine Intelligence, 2022)

Merging Neural Networks with Traditional Evaluations in Crazyhouse. - Anei Makovec; Johanna Pirker; Matej Guid (ACG, 2023)

Feature construction using explanations of individual predictions. - Bostjan Vouk; Matej Guid; Marko Robnik-Sikonja (Eng. Appl. Artif. Intell., 2023)