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2020 – today
- 2023
[j11]Bostjan Vouk
, Matej Guid, Marko Robnik-Sikonja:
Feature construction using explanations of individual predictions. Eng. Appl. Artif. Intell. 120: 105823 (2023)- [c19]Anei Makovec, Johanna Pirker, Matej Guid:
Merging Neural Networks with Traditional Evaluations in Crazyhouse. ACG 2023: 15-25 - [i2]Bostjan Vouk, Matej Guid, Marko Robnik-Sikonja:
Feature construction using explanations of individual predictions. CoRR abs/2301.09631 (2023) - 2022
- [p1]Ivan Bratko, Dayana Hristova, Matej Guid:
Predicting Problem Difficulty in Chess. Human-Like Machine Intelligence 2022: 487-504 - 2021
- [j10]Jana Krivec, Ivan Bratko, Matej Guid:
Identification and conceptualization of procedural chunks in chess. Cogn. Syst. Res. 69: 22-40 (2021) - [c18]Miha Bizjak, Matej Guid:
Automatic Recognition of Similar Chess Motifs. ACG 2021: 131-141 - 2020
- [j9]Jana Krivec, Matej Guid:
The influence of context on information processing. Cogn. Process. 21(2): 167-184 (2020)
2010 – 2019
- 2019
- [c17]Matej Guid, Matevz Pavlic, Martin Mozina:
Automated Feedback Generation for Argument-Based Intelligent Tutoring Systems. CSEDU (1) 2019: 70-77 - [c16]Matej Guid, Martin Mozina, Matevz Pavlic, Klemen Tursic:
Learning by Arguing in Argument-Based Machine Learning Framework. ITS 2019: 112-122 - 2017
- [j8]Mark H. M. Winands, Richard Lorentz, Matej Guid:
Advances in Computer Games 2017. J. Int. Comput. Games Assoc. 39(3-4): 205-209 (2017) - [c15]Matej Guid, Ivan Bratko:
Influence of Search Depth on Position Evaluation. ACG 2017: 115-126 - 2016
- [j7]Vito Janko, Matej Guid:
A program for Progressive chess. Theor. Comput. Sci. 644: 76-91 (2016) - 2015
- [c14]Vito Janko, Matej Guid:
Development of a Program for Playing Progressive Chess. ACG 2015: 122-134 - [i1]Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi:
The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity. CoRR abs/1507.07058 (2015) - 2014
- [c13]Matej Zapusek, Martin Mozina, Ivan Bratko, Joze Rugelj, Matej Guid:
Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop. Intelligent Tutoring Systems 2014: 575-582 - 2013
- [j6]Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
Elicitation of neurological knowledge with argument-based machine learning. Artif. Intell. Medicine 57(2): 133-144 (2013) - [c12]Matej Guid, Ivan Bratko:
Search-Based Estimation of Problem Difficulty for Humans. AIED 2013: 860-863 - [c11]Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko:
Building an Intelligent Tutoring System for Chess Endgames. CSEDU 2013: 263-266 - 2012
- [j5]Azlan Iqbal, Harold M. J. F. van der Heijden, Matej Guid, Ali Makhmali:
Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception. IEEE Trans. Comput. Intell. AI Games 4(3): 178-191 (2012) - [c10]Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko:
ABML Knowledge Refinement Loop: A Case Study. ISMIS 2012: 41-50 - [c9]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko:
Goal-Oriented Conceptualization of Procedural Knowledge. ITS 2012: 286-291 - 2011
- [j4]Matej Guid, Ivan Bratko:
Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. J. Int. Comput. Games Assoc. 34(2): 71-81 (2011) - [c8]Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
Elicitation of Neurological Knowledge with ABML. AIME 2011: 14-23 - 2010
- [c7]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko:
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. EDM 2010: 309-310 - [c6]Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Learning to Explain with ABML. ExaCt 2010: 37-48
2000 – 2009
- 2009
- [c5]Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko:
Deriving Concepts and Strategies from Chess Tablebases. ACG 2009: 195-207 - 2008
- [j3]Matej Guid, Aritz Pérez, Ivan Bratko:
How Trustworthy is Crafty's Analysis of Chess Champions? J. Int. Comput. Games Assoc. 31(3): 131-144 (2008) - [c4]Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Learning Positional Features for Annotating Chess Games: A Case Study. Computers and Games 2008: 192-204 - [c3]Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI 2008: 234-238 - 2007
- [j2]Matej Guid, Ivan Bratko:
Factors Affecting Diminishing Returns for Searching Deeper. J. Int. Comput. Games Assoc. 30(2): 75-84 (2007) - 2006
- [j1]Matej Guid, Ivan Bratko:
Computer Analysis of World Chess Champions. J. Int. Comput. Games Assoc. 29(2): 65-73 (2006) - [c2]Matej Guid, Ivan Bratko:
Computer Analysis of Chess Champions. Computers and Games 2006: 1-12 - [c1]Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko:
Automated Chess Tutor. Computers and Games 2006: 13-25
Coauthor Index
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