Advice Table Representations of Chess End-Game Knowledge. - Donald Michie; Ivan Bratko (AISB/GI (ECAI), 1978)

Pattern-Based Representation of Chess End-Game Knowledge. - Ivan Bratko; Danny Kopec; Donald Michie (Comput. J., 1978)

Proving Correctness of Strategies in the AL1 Assertional Language. - Ivan Bratko (Inf. Process. Lett., 1978)

Implementing Search Heuristics Using the AL1 Advice-Taking System. - Ivan Bratko (IJCAI, 1979)

An Advice Program for a Complex Chess Programming Task. - Ivan Bratko; Donald Michie (Comput. J., 1980)

Recognition of Complex Patterns Using Cellular Arrays. - Zdenek Zdráhal; Ivan Bratko; Alen Shapiro (Comput. J., 1981)

Symbolic Derivation of Chess Patterns. - Ivan Bratko (ECAI, 1982)

An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling. - Igor Mozetic; Ivan Bratko; Nada Lavrac (Logic Programming Workshop, 1983)

Detection of Positional Patterns in Chess. - Ivan Bratko; Peter Tancig; S. Tancig (J. Int. Comput. Games Assoc., 1984)

ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users. - Bojan Cestnik; Igor Kononenko 001; Ivan Bratko (EWSL, 1987)

Ideas on Knowledge Synthesis Stemming from the KBBKN Endgame. - Donald Michie; Ivan Bratko (J. Int. Comput. Games Assoc., 1987)

Ideas on Knowledge Synthesis ..... a correction. - Donald Michie; Ivan Bratko (J. Int. Comput. Games Assoc., 1987)

Some comments on rule induction. - Ivan Bratko; Donald Michie (Knowl. Eng. Rev., 1987)

AI and Robotics; Flexibility and Integration. - Peter Mowforth; Ivan Bratko (Robotica, 1987)

Learning Redundant Rules in Noisy Domains. - Bojan Cestnik; Ivan Bratko (ECAI, 1988)

KARDIO - a study in deep and qualitative knowledge for expert systems. - Ivan Bratko; Igor Mozetic; Nada Lavrac (MIT Press, 1989)

Medical Analysis of Automatically Induced Diagnostic Rules. - Vladimir Pirnat; Igor Kononenko 001; T. Janc; Ivan Bratko (AIME, 1989)

PROLOG Programming for Artificial Intelligence, Second Edition - Ivan Bratko (Addison-Wesley, 1990)

On Estimating Probabilities in Tree Pruning. - Bojan Cestnik; Ivan Bratko (EWSL, 1991)

Learning Qualitative Models of Dynamic Systems. - Ivan Bratko; Stephen H. Muggleton; Alen Varsek (ML, 1991)

Comments to 'Chunking for Experience'. - Donald Michie; Ivan Bratko (J. Int. Comput. Games Assoc., 1991)

Information-Based Evaluation Criterion for Classifier's Performance. - Igor Kononenko 001; Ivan Bratko (Mach. Learn., 1991)

Dynamic System Simulation with Qualitative Differential Equations. - Ivan Bratko (Advanced Topics in Artificial Intelligence, 1992)

Inductive Learning Applied to Program Construction and Verification. - Ivan Bratko; Marko Grobelnik (AIFIPP, 1992)

Deriving qualitative control for dynamic systems. - Ivan Bratko (Machine Intelligence 14, 1993)

Machine learning in artificial intelligence. - Ivan Bratko (Artif. Intell. Eng., 1993)

Applications of Machine Learning: Towards Knowledge Synthesis. - Ivan Bratko (New Gener. Comput., 1993)

Reconstructing Human Skill with Machine Learning. - Tanja Urbancic; Ivan Bratko (ECAI, 1994)

Using Machine Learning Techniques to Interpret Results from Discrete Event Simulation. - Dunja Mladenic; Ivan Bratko; Ray J. Paul; Marko Grobelnik (ECML, 1994)

A knowledge base for finite element mesh design. - Bojan Dolsak; Anton Jezernik; Ivan Bratko (Artif. Intell. Eng., 1994)

Trading Accuracy for Simplicity in Decision Trees. - Marko Bohanec; Ivan Bratko (Mach. Learn., 1994)

Machine Learning and Qualitative Reasoning. - Ivan Bratko (Mach. Learn., 1994)

Applications of Inductive Logic Programming. - Ivan Bratko; Ross D. King (SIGART Bull., 1994)

Control Skill, Machine Learning and Hand-crafting in Controller Design. - Ivan Bratko; Tanja Urbancic (Machine Intelligence 15, 1995)

Applications of Inductive Logic Programming. - Ivan Bratko; Stephen H. Muggleton (Commun. ACM, 1995)

Engineering Applications of ILP. - Ivan Bratko; Saso Dzeroski (New Gener. Comput., 1995)

Attribute-Based Learning. - Ivan Bratko; Bojan Cestnik; Igor Kononenko 001 (AI Commun., 1996)

AI in Eastern and Central Europe. - Matjaz Gams; Ivan Bratko (Informatica (Slovenia), 1996)

Constructing Intermediate Concepts by Decomposition of Real Functions. - Janez Demsar; Blaz Zupan; Marko Bohanec; Ivan Bratko (ECML, 1997)

Machine Learning by Function Decomposition. - Blaz Zupan; Marko Bohanec; Ivan Bratko; Janez Demsar (ICML, 1997)

Skill Reconstruction as Induction of LQ Controllers with Subgoals. - Dorian Suc; Ivan Bratko (IJCAI (2), 1997)

A Dataset Decomposition Approach to Data Mining and Machine Discovery. - Blaz Zupan; Marko Bohanec; Ivan Bratko; Bojan Cestnik (KDD, 1997)

First Order Regression. - Aram Karalic; Ivan Bratko (Mach. Learn., 1997)

Knowledge base for finite-element mesh design learned by inductive logic programming. - Bojan Dolsak; Ivan Bratko; Anton Jezernik (Artif. Intell. Eng. Des. Anal. Manuf., 1998)

Feature Transformation by Function Decomposition. - Blaz Zupan; Marko Bohanec; Janez Demsar; Ivan Bratko (IEEE Intell. Syst., 1998)

Refining Complete Hypotheses in ILP. - Ivan Bratko (ILP, 1999)

Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence. - Janez Demsar; Blaz Zupan; Michael W. Kattan; J. Robert Beck; Ivan Bratko (MIE, 1999)

Learning by Discovering Concept Hierarchies. - Blaz Zupan; Marko Bohanec; Janez Demsar; Ivan Bratko (Artif. Intell., 1999)

Symbolic and qualitative reconstruction of control skill. - Dorian Suc; Ivan Bratko (Electron. Trans. Artif. Intell., 1999)

Problem Decomposition for Behavioural Cloning. - Dorian Suc; Ivan Bratko (ECML, 2000)

Induction of Concept Hierarchies from Noisy Data. - Blaz Zupan; Ivan Bratko; Marko Bohanec; Janez Demsar (ICML, 2000)

Machine learning for survival analysis: a case study on recurrence of prostate cancer. - Blaz Zupan; Janez Demsar; Michael W. Kattan; J. Robert Beck; Ivan Bratko (Artif. Intell. Medicine, 2000)

Qualitative Trees Applied to Bicycle Riding. - Dorian Suc; Ivan Bratko (Electron. Trans. Artif. Intell., 2000)

Skill modeling through symbolic reconstruction of operator's trajectories. - Dorian Suc; Ivan Bratko (IEEE Trans. Syst. Man Cybern. Part A, 2000)

Transformation of attribute space by function decomposition. - Janez Demsar; Blaz Zupan; Ivan Bratko (Data Fusion and Perception, 2001)

Function Decomposition in Machine Learning. - Blaz Zupan; Ivan Bratko; Marko Bohanec; Janez Demsar (Machine Learning and Its Applications, 2001)

Abductive Inference of Genetic Networks. - Blaz Zupan; Ivan Bratko; Janez Demsar; J. Robert Beck; Adam Kuspa; Gad Shaulsky (AIME, 2001)

Induction of Qualitative Trees. - Dorian Suc; Ivan Bratko (ECML, 2001)

Web-Enabled Knowledge-Based Analysis of Genetic Data. - Peter Juvan; Blaz Zupan; Janez Demsar; Ivan Bratko; John A. Halter; Adam Kuspa; Gad Shaulsky (ISMDA, 2001)

GenePath: A Computer Program for Genetic Pathway Discovery from Mutant Data. - Janez Demsar; Blaz Zupan; Ivan Bratko; Adam Kuspa; John A. Halter; Robert J. Beck; Gad Shaulsky (MedInfo, 2001)

Decisions at Hand: A Decision Support System on Handhelds. - Blaz Zupan; Ales Porenta; Gaj Vidmar; Noriaki Aoki; Ivan Bratko; J. Robert Beck (MedInfo, 2001)

Qualitative reverse engineering. - Dorian Suc; Ivan Bratko (ICML, 2002)

Using Machine Learning to Understand Operator's Skill. - Ivan Bratko; Dorian Suc (IEA/AIE, 2002)

Understanding Control Strategies. - Ivan Bratko; Dorian Suc (Planning Based on Decision Theory, 2003)

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

Attribute Interactions in Medical Data Analysis. - Aleks Jakulin; Ivan Bratko; Dragica Smrke; Janez Demsar; Blaz Zupan (AIME, 2003)

Improving Numerical Prediction with Qualitative Constraints. - Dorian Suc; Ivan Bratko (ECML, 2003)

Analyzing Attribute Dependencies. - Aleks Jakulin; Ivan Bratko (PKDD, 2003)

GenePath: a system for inference of genetic networks and proposal of genetic experiments. - Blaz Zupan; Ivan Bratko; Janez Demsar; Peter Juvan; Tomaz Curk; Urban Borstnik; J. Robert Beck; John A. Halter; Adam Kuspa; Gad Shaulsky (Artif. Intell. Medicine, 2003)

GenePath: a system for automated construction of genetic networks from mutant data. - Blaz Zupan; Janez Demsar; Ivan Bratko; Peter Juvan; John A. Halter; Adam Kuspa; Gad Shaulsky (Bioinform., 2003)

Quantifying and Visualizing Attribute Interactions - Aleks Jakulin; Ivan Bratko (CoRR, 2003)

A Program for Playing Tarok. - Mitja Lustrek; Matjaz Gams; Ivan Bratko (J. Int. Comput. Games Assoc., 2003)

Categorization of Numerical Values for DEX Hierarchical Models. - Martin Znidarsic; Marko Bohanec; Ivan Bratko (Informatica (Slovenia), 2003)

Learning to Fly Simple and Robust. - Dorian Suc; Ivan Bratko; Claude Sammut (ECML, 2004)

Testing the significance of attribute interactions. - Aleks Jakulin; Ivan Bratko (ICML, 2004)

Qualitatively faithful quantitative prediction. - Dorian Suc; Daniel Vladusic; Ivan Bratko (Artif. Intell., 2004)

Learning Qualitative Models. - Ivan Bratko; Dorian Suc (AI Mag., 2004)

Application of Argument Based Machine Learning to Law. - Martin Mozina; Jure Zabkar; Trevor J. M. Bench-Capon; Ivan Bratko (ICAIL, 2005)

Why Minimax Works: An Alternative Explanation. - Mitja Lustrek; Matjaz Gams; Ivan Bratko (IJCAI, 2005)

Combining Learning Constraints and Numerical Regression. - Dorian Suc; Ivan Bratko (IJCAI, 2005)

Nomograms for visualizing support vector machines. - Aleks Jakulin; Martin Mozina; Janez Demsar; Ivan Bratko; Blaz Zupan (KDD, 2005)

Simple and effective visual models for gene expression cancer diagnostics. - Gregor Leban; Minca Mramor; Ivan Bratko; Blaz Zupan (KDD, 2005)

Argument Based Machine Learning Applied to Law. - Martin Mozina; Jure Zabkar; Trevor J. M. Bench-Capon; Ivan Bratko (Artif. Intell. Law, 2005)

Microarray data mining with visual programming. - Tomaz Curk; Janez Demsar; Qikai Xu; Gregor Leban; Uros Petrovic; Ivan Bratko; Gad Shaulsky; Blaz Zupan (Bioinform., 2005)

VizRank: finding informative data projections in functional genomics by machine learning. - Gregor Leban; Ivan Bratko; Uros Petrovic; Tomaz Curk; Blaz Zupan (Bioinform., 2005)

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

Multi-agent strategic modeling in a robotic soccer domain. - Andraz Bezek; Matjaz Gams; Ivan Bratko (AAMAS, 2006)

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

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)

Argument Based Machine Learning in a Medical Domain. - Jure Zabkar; Martin Mozina; Jerneja Videcnik; Ivan Bratko (COMMA, 2006)

Argument Based Rule Learning. - Martin Mozina; Jure Zabkar; Ivan Bratko (ECAI, 2006)

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

Why Is Rule Learning Optimistic and How to Correct It. - Martin Mozina; Janez Demsar; Jure Zabkar; Ivan Bratko (ECML, 2006)

Q2 Learning and Its Application to Car Modelling. - Daniel Vladusic; Dorian Suc; Ivan Bratko; W. Rulka (Appl. Artif. Intell., 2006)

Is real-valued minimax pathological? - Mitja Lustrek; Matjaz Gams; Ivan Bratko (Artif. Intell., 2006)

VizRank: Data Visualization Guided by Machine Learning. - Gregor Leban; Blaz Zupan; Gaj Vidmar; Ivan Bratko (Data Min. Knowl. Discov., 2006)

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

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

Likelihood based classification in bayesian networks. - Ivan Stajduhar; Ivan Bratko (Artificial Intelligence and Applications, 2007)

Discovery of Genetic Networks Through Abduction and Qualitative Simulation. - Blaz Zupan; Ivan Bratko; Janez Demsar; Peter Juvan; Adam Kuspa; John A. Halter; Gad Shaulsky (Computational Discovery of Scientific Knowledge, 2007)

Argument based machine learning. - Martin Mozina; Jure Zabkar; Ivan Bratko (Artif. Intell., 2007)

Machine learning applied to quality management - A study in ship repair domain. - Alira Srdoc; Ivan Bratko; Alojzij Sluga (Comput. Ind., 2007)

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)

Arguments Extracted from Text in Argument Based Machine Learning: A Case Study. - Martin Mozina; Claudio Giuliano; Ivan Bratko (CIAEM, 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)

An Experiment in Robot Discovery with ILP. - Gregor Leban; Jure Zabkar; Ivan Bratko (ILP, 2008)

An Assessment of Machine Learning Methods for Robotic Discovery. - Ivan Bratko (J. Comput. Inf. Technol., 2008)

How Trustworthy is Crafty's Analysis of Chess Champions? - Matej Guid; Aritz Pérez; Ivan Bratko (J. Int. Comput. Games Assoc., 2008)

Argument-Based Machine Learning. - Ivan Bratko; Jure Zabkar; Martin Mozina (Argumentation in Artificial Intelligence, 2009)

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

Argument Based Machine Learning from Examples and Text. - Martin Mozina; Claudio Giuliano; Ivan Bratko (ACIIDS, 2009)

Discovery of Abstract Concepts by a Robot. - Ivan Bratko (ALT, 2010)

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)

Learning from Noisy Data Using a Non-covering ILP Algorithm. - Andrej Oblak; Ivan Bratko (ILP, 2010)

When is it better not to look ahead? - Dana S. Nau; Mitja Lustrek; Austin Parker; Ivan Bratko; Matjaz Gams (Artif. Intell., 2010)

Comparison of Machine Learning for Autonomous Robot Discovery. - Ivan Bratko (Advances in Machine Learning I, 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)

Autonomous Discovery of Abstract Concepts by a Robot. - Ivan Bratko (ICANNGA (1), 2011)

Learning qualitative models from numerical data. - Jure Zabkar; Martin Mozina; Ivan Bratko; Janez Demsar (Artif. Intell., 2011)

Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. - Matej Guid; Ivan Bratko (J. Int. Comput. Games Assoc., 2011)

Embodied Concept Discovery through Qualitative Action Models. - Aljaz Kosmerlj; Ivan Bratko; Jure Zabkar (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011)

Learning Predictive Qualitative Models with Padé. - Jure Zabkar; Martin Mozina; Ivan Bratko; Janez Demsar (Informatica (Slovenia), 2011)

Prolog Programming for Artificial Intelligence, 4th Edition. - Ivan Bratko (Addison-Wesley, 2012)

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)

Improving vehicle aeroacoustics using machine learning. - Damjan Kuznar; Martin Mozina; Marina Giordanino; Ivan Bratko (Eng. Appl. Artif. Intell., 2012)

ILP turns 20 - Biography and future challenges. - Stephen H. Muggleton; Luc De Raedt; David Poole 001; Ivan Bratko; Peter A. Flach; Katsumi Inoue; Ashwin Srinivasan 001 (Mach. Learn., 2012)

Independent-valued minimax: Pathological or beneficial? - Mitja Lustrek; Ivan Bratko; Matjaz Gams (Theor. Comput. Sci., 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)

Learning Qualitative Models from Numerical Data: Extended abstract. - Jure Zabkar; Martin Mozina; Ivan Bratko; Janez Demsar (IJCAI, 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)

DEX Methodology: Three Decades of Qualitative Multi-Attribute Modeling. - Marko Bohanec; Martin Znidarsic; Vladislav Rajkovic; Ivan Bratko; Blaz Zupan (Informatica (Slovenia), 2013)

Editors's Introduction to the Special Issue on "100 Years of Alan Turing and 20 Years of SLAIS". - Dunja Mladenic; Stephen H. Muggleton; Ivan Bratko (Informatica (Slovenia), 2013)

Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. - Timothy Wiley; Claude Sammut; Ivan Bratko (AAAI, 2014)

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

Qualitative Simulation with Answer Set Programming. - Timothy Wiley; Claude Sammut; 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)

Data-Driven Program Synthesis for Hint Generation in Programming Tutors. - Timotej Lazar; Ivan Bratko (Intelligent Tutoring Systems, 2014)

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, 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)

Qualitative Planning of Object Pushing by a Robot. - Domen Soberl; Jure Zabkar; Ivan Bratko (ISMIS, 2015)

Extracting qualitative relations from categorical data. - Jure Zabkar; Ivan Bratko; Janez Demsar (Artif. Intell., 2016)

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

Automatic Extraction of AST Patterns for Debugging Student Programs. - Timotej Lazar; Martin Mozina; Ivan Bratko (AIED, 2017)

Multiobjective discovery of human-like driving strategies. - Erik Dovgan; Jaka Sodnik; Ivan Bratko; Bogdan Filipic (GECCO (Companion), 2017)

Reactive Motion Planning with Qualitative Constraints. - Domen Soberl; Ivan Bratko (IEA/AIE (1), 2017)

A Machine Learning System for Controlling a Rescue Robot. - Timothy Wiley; Ivan Bratko; Claude Sammut (RoboCup, 2017)

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)

Identifying typical approaches and errors in Prolog programming with argument-based machine learning. - Martin Mozina; Timotej Lazar; Ivan Bratko (Expert Syst. Appl., 2018)

AlphaZero - What's Missing? - Ivan Bratko (Informatica (Slovenia), 2018)

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

Learning Explainable Control Strategies Demonstrated on the Pole-and-Cart System. - Domen Soberl; Ivan Bratko (IEA/AIE, 2019)

Extreme value correction: a method for correcting optimistic estimations in rule learning. - Martin Mozina; Janez Demsar; Ivan Bratko; Jure Zabkar (Mach. Learn., 2019)

Learning to Control a Quadcopter Qualitatively. - Domen Soberl; Ivan Bratko; Jure Zabkar (J. Intell. Robotic Syst., 2020)

Are pre-service teachers disinclined to utilise embodied humanoid social robots in the classroom? - Andreja Istenic; Ivan Bratko; Violeta Rosanda (Br. J. Educ. Technol., 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)

Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. - Domen Soberl; Ivan Bratko (DS, 2023)

Machine Bias: A Survey of Issues. - Ana Faric; Ivan Bratko (Informatica (Slovenia), 2024)

Robot NAO integrated lesson vs. traditional lesson: Measuring learning outcomes on the topic of "societal change" and the mediating effect of students' attitudes. - Violeta Rosanda; Ivan Bratko; Mateja Gacnik; Vid Podpecan; Andreja Istenic (Br. J. Educ. Technol., 2025)

Qualitative control learning can be much faster than reinforcement learning. - Domen Soberl; Ivan Bratko (Mach. Learn., 2025)