Dr. Matej Guid

Asst. Professor

University of Ljubljana
Faculty of computer and information science
Vecna pot 113, SI-1000 Ljubljana
Slovenia

2023

Boštjan Vouk, Guid Matej, Marko Robnik Šikonja. Feature construction using explanations of individual predictions. Engineering applications of artificial intelligence, 2023, vol. 120, str. 1-27, ilustr. ISSN 0952-1976.

Peter Backus, Maria Cubel, Matej Guid, Santiago Sánchez-Pagés, Enrique López Manas. Gender, competition, and performance: Evidence from chess players. Quantitative economics., 2023, vol. 14, iss. 1, str. 349-380, graf. prikazi. ISSN 1759-7323.

2022

Kristjan Reba, Matej Guid, Kati Rozman, Dušanka Janežič, Janez Konc. Exact maximum clique algorithm for different graph types using machine learning. Mathematics, 2022, vol. 10, iss. 1, str. 1-14, ilustr. ISSN 2227-7390..

2021

Bizjak Miha, Guid Matej. Automatic recognition of similar chess motifs. Advances in Computers and Games (ACG 2021).

Krivec Jana, Bratko Ivan, Guid Matej. Identification and conceptualization of procedural chunks in chess. Cognitive systems research. vol. 69, pp. 22-40, 2021.

2020

Bizjak Miha, Guid Matej. Towards automatic recognition of similar chess motifs. Slovenian Conference on Artificial Intelligence, Information Society (IS 2020). Ljubljana, Slovenia, October 6-7, 2020.

Krivec Jana, Guid Matej. The influence of context on information processing. Cognitive Processing, vol. 21, pp. 1-18, 2020.

2019

Guid Matej, Možina Martin, Pavlič Matevž, Turšič Klemen. Learning by Arguing in Argument-Based Machine Learning Framework. The 15th International Conference on Intelligent Tutoring Systems (ITS 2019). Kingston, Jamaica, June 3-7, 2019.

Guid Matej, Pavlič Matevž, Možina Martin. Automated Feedback Generation for Argument-Based Intelligent Tutoring Systems. The 11th International Conference on Computer Supported Education (CSEDU 2019). Heraklion, Crete, Grece, May 2-4, 2019.

2018

Guid Matej. Learn and Master Progressive Chess (book). Založba UL FRI.

2017

Guid Matej, Bratko Ivan. Influence of Search Depth on Position Evaluation. The 15th International Conference on Advances in Computer Games (ACG 2017). Leiden, Netherlands, July 3-5, 2017.

2016

Bratko Ivan, Hristova Dayana, Matej Guid. Search Versus Knowledge in Human Problem Solving: A Case Study in Chess. In Model-Based Reasoning in Science and Technology, pp. 569-583. Springer International Publishing, 2016.

Janko Vito, Matej Guid. A program for Progressive chess. Theoretical Computer Science, No. 644, pp. 76-91, Elsevier, 2016.

Iqbal Azlan, Guid Matej, Colton Simon, Krivec Jana, Azman Shazril, Haghighi Boshra. The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity. SpringerBriefs in Cognitive Computation, Springer International Publishing, 2016.

2015

Stoiljkovikj Simon, Bratko Ivan, Guid Matej. A Computational Model for Estimating the Difficulty of Chess Problems. The Annual Third Conference on Advances in Cognitive Systems (ACS 2015), Atlanta, Georgia (USA); 28-31 May, 2015.

Janko Vito, Guid Matej. Development of a Program for Playing Progressive Chess. The 14th International Conference on Advances in Computer Games (ACG 2015). Leiden, Netherlands, July 1-3, 2015.

2014

Zapušek Matej, Možina Martin, Bratko Ivan, Rugelj Jože, Guid Matej. Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop. ITS 2014, Honolulu, Hawaii (USA); 7-9 June, 2014. Intelligent Tutoring Systems. Lecture Notes in Computer Science, Vol. 8474, pp. 575-582, 2014. Springer.

Hristova Dayana, Guid Matej, Bratko Ivan. Assessing the difficulty of chess tactical problems. International journal on advances in intelligent systems, Vol. 7, No. 3/4, pp. 728-738, 2014.

Hristova Dayana, Guid Matej, Bratko Ivan. Toward modeling task difficulty: the case of chess. COGNITIVE 2014, Venice, Italy, May 25-29, 2014. The Sixth International Conference on Advanced Cognitive Technologies and Applications, pp. 211-214, 2014. IARIA.

2013

Guid Matej, Bratko Ivan. Search-Based Estimation of Problem Difficulty for Humans. AIED 2013, Memphis, USA, July 9-13, 2013. Artificial Intelligence in Education. Lecture Notes in Computer Science, Vol. 7926, pp. 860-863, 2013. Springer.

Guid Matej, Možina Martin, Bohak Ciril, Sadikov Aleksander, Bratko Ivan. Building an Intelligent Tutoring System for Chess Endgames. CSEDU 2013, Aachen, Germany; 6-8 May, 2013. Proceedings of the 5th International Conference on Computer Supported Education, pp. 263-266, 2013. SciTePress.

Groznik Vida, Guid Matej, Sadikov Aleksander, Možina Martin, Georgiev Dejan, Kragelj Veronika, Ribarič Samo, Pirtošek Zvezdan, Bratko Ivan. Elicitation of neurological knowledge with argument-based machine learning. Artificial Intelligence in Medicine, Vol. 57, No. 2, pp. 133-144, 2013.

2012

Iqbal Azlan, van der Heijden Harold, Guid Matej, Makhmali Ali. Evaluating the aesthetics of endgame studies: a computational model of human aesthetic perception. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 3, pp. 178-191, 2012.

Guid Matej, Bratko Ivan. Detecting Fortresses in Chess. Elektrotehniški vestnik: Journal of Electrical Engineering and Computer Science, Vol. 79, No. 1/2, pp. 35-40, 2012.

Možina Martin, Guid Matej, Sadikov Aleksander, Groznik Vida, Bratko Ivan. Goal-Oriented Conceptualization of Procedural Knowledge. ITS 2012, Chania, Greece, June 14-18, 2012. Intelligent Tutoring Systems. Lecture Notes in Computer Science, Vol. 7315, pp. 286-291, 2012. Springer.

Guid Matej, Možina Martin, Groznik Vida, Sadikov Aleksander, Georgiev Dejan, Pirtošek Zvezdan, Bratko Ivan. ABML Knowledge Refinement Loop: A Case Study. ISMIS 2012, Macau, China, December 4-7, 2012. Foundations of Intelligent Systems. Lecture Notes in Computer Science, Vol. 7661, pp. 41-50, 2012. Springer.

Guid Matej, Krivec Jana, Bratko Ivan. An experiment in students' acquisition of problem solving skill from goal-oriented instructions. COGNITIVE 2012, Nice, France, July 22-27, 2012. COGNITIVE 2012, The Fourth International Conference on Advanced Cognitive Technologies and Applications, pp. 159-164, 2012. IARIA.

2011

Guid Matej, Bratko Ivan. Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. ICGA Journal, Vol. 34, No. 2, pp. 71-81, 2011.

Groznik Vida, Guid Matej, Sadikov Aleksander, Možina Martin, Georgiev Dejan, Kragelj Veronika, Ribarič Samo, Pirtošek Zvezdan, Bratko Ivan. Elicitation of neurological knowledge with ABML. AIME 2011, Bled, Slovenia, July 2-6, 2011. Artificial Intelligence in Medicine. Lecture Notes in Computer Science, Vol. 6747, pp. 14-23, 2011. Springer.

2010

Guid Matej. Search and Knowledge for Human and Machine Problem Solving. PhD Thesis, University of Ljubljana, 2010.
Review by Dap Hartmann: How Can Humans Learn from Computers? ICGA Journal, Vol. 33, No. 4, pp. 217-218, 2010.

Možina Martin, Guid Matej, Sadikov Aleksander, Groznik Vida, Krivec Jana, Bratko Ivan. Conceptualizing Procedural Knowledge Targeted at Students of Different Skill Levels. EDM 2010, Pittsburg, USA, June 11-13, 2010. Proceedings of the 3rd International Conference on Educational Data Mining, pp. 309-310, 2010.

Možina Martin, Guid Matej, J. Krivec, Sadikov Aleksander, Bratko Ivan. Learning to Explain with ABML. ExaCt 2010, Lisbon, Portugal, August 16, 2010. Proceedings of the 5th International Workshop on Explanation-aware Computing, pp. 37-48, 2010.

2009

Guid Matej, Možina Martin, Sadikov Aleksander, Bratko Ivan. Deriving Concepts and Strategies from Chess Tablebases. ACG 2009, Pamplona, Spain, May 11-13, 2009. Advances in Computers and Games conference. Lecture Notes in Computer Science, Vol. 6048, pp. 195-207, 2010. Springer.

Krivec Jana, Guid Matej, Bratko Ivan. Identification and Characteristic Descriptions of Procedural Chunks. COGNITIVE 2009, Athens, Greece, November 15-20, 2009. Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09., pp. 448-453, 2009.

2008

Guid Matej, Pérez Aritz, Bratko Ivan. How Trustworthy is Crafty's Analysis of World Chess Champions? ICGA Journal, Vol. 31, No. 3, pp. 131-144, 2008.

Guid Matej, Možina Martin, Krivec Jana, Sadikov Aleksander, Bratko Ivan. Learning Positional Features for Annotating Chess Games: A Case Study. CG 2008, Beijing, China, September/October, 2008. Computers and Games. Lecture Notes in Computer Science, Vol. 5131, pp. 192-204, 2008. Springer.

Možina Martin, Guid Matej, Krivec Jana, Sadikov Aleksander, Bratko Ivan. Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI 2008, Patras, Greece, July 21-25, 2008. ECAI 2008 - 18th European Conference on Artificial Intelligence, Proceedings. Frontiers in Artificial Intelligence and Applications, Vol. 178, pp. 234-238, 2008.

2007

Guid Matej, Bratko Ivan. Factors affecting diminishing returns for searching deeper. ICGA Journal, Vol. 30, No. 2, pp. 75-84, 2007.

Guid Matej, Pérez Aritz, Bratko Ivan. How trustworthy is Crafty's analysis of chess champions? Computer games workshop 2007, Amsterdam, June 15-17, 2007, pp. 15-26, 2007.

Guid Matej, Bratko Ivan. Factors affecting diminishing returns for searching deeper. Computer games workshop 2007, Amsterdam, June 15-17, 2007, pp. 3-14, 2007.

Guid Matej, Krivec Jana, Bratko Ivan. Avtomatski šahovski tutor. Information society 2007, 10th International multiconference, Ljubljana, October 8-12, 2007.  

Guid Matej, Bratko Ivan. Računalniška primerjava svetovnih prvakov. Šahovska misel, 2007, No. 1, pp. 36-44, 2007.  

2006

Guid Matej, Bratko Ivan. Computer Analysis of World Chess Champions. ICGA Journal, Vol. 29, No. 2, pp. 65-73, 2006.

Sadikov Aleksander, Možina Martin, Guid Matej, Krivec Jana, Bratko Ivan. Automated chess tutor. CG 2006, Turin, Italy, May 29-31, 2006. Computers and Games. Lecture Notes in Computer Science, Vol. 4630, pp. 13-25, 2007. Springer.

Guid Matej, Bratko Ivan. Computer analysis of chess champions. CG 2006, Turin, Italy, May 29-31, 2006. Computers and Games. Lecture Notes in Computer Science, Vol. 4630, pp. 1-12, 2007. Springer.

2005

Guid Matej. Računalniška analiza svetovnih šahovskih prvakov. (“Prešern Prize” award for B.Sc. thesis excellence granted )  

Chessbase.com: The quality of play at the Candidates 8.4.2013

Chessbase.com: Using chess engines to estimate human skill 11.11.2011

Chessbase.com: Computers choose: who was the strongest player? 30.10.2006

Chessbase.com: Computer analysis of world champions. 2.11.2006

ChessNinja.com: Most computerlike player ever.

The World Chess Championship games 1886-2006 (the WCC data set)

The "Bad Bishop" learning dataset, used in Learning Positional Features for Annotating Chess Games: A Case Study

The questionnaire about the difficulty of chess tactical problems.

Metoda umetne inteligence, ki zna prisluhniti zdravnikom. SiNAPSA, Maj 2013.

Inteligentni tutorski sistemi (5.49 MB). Pedagoška fakulteta, April 2013.