Ivan Bratko - RankMe

173 papers A* 14A 12B 17C 8Journal 72Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Qualitative control learning can be much faster than reinforcement learning. Mach. Learn. Domen Soberl, Ivan Bratko
2025	J	`jnl`	Robot NAO integrated lesson vs. traditional lesson: Measuring learning outcomes on the topic of "societal change" and the mediating effect of students' attitudes. Br. J. Educ. Technol. Violeta Rosanda, Ivan Bratko, Mateja Gacnik, Vid Podpecan, Andreja Istenic
2024	J	`jnl`	Machine Bias: A Survey of Issues. Informatica (Slovenia) Ana Faric, Ivan Bratko
2023	B	`conf`	Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. DS Domen Soberl, Ivan Bratko
2022	—	`ch.`	Predicting Problem Difficulty in Chess. Human-Like Machine Intelligence Ivan Bratko, Dayana Hristova, Matej Guid
2021	J	`jnl`	Are pre-service teachers disinclined to utilise embodied humanoid social robots in the classroom? Br. J. Educ. Technol. Andreja Istenic, Ivan Bratko, Violeta Rosanda
2021	J	`jnl`	Identification and conceptualization of procedural chunks in chess. Cogn. Syst. Res. Jana Krivec, Ivan Bratko, Matej Guid
2020	J	`jnl`	Learning to Control a Quadcopter Qualitatively. J. Intell. Robotic Syst. Domen Soberl, Ivan Bratko, Jure Zabkar
2019	J	`jnl`	Extreme value correction: a method for correcting optimistic estimations in rule learning. Mach. Learn. Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar
2019	C	`conf`	Learning Explainable Control Strategies Demonstrated on the Pole-and-Cart System. IEA/AIE Domen Soberl, Ivan Bratko
2018	J	`jnl`	AlphaZero - What's Missing? Informatica (Slovenia) Ivan Bratko
2018	J	`jnl`	Identifying typical approaches and errors in Prolog programming with argument-based machine learning. Expert Syst. Appl. Martin Mozina, Timotej Lazar, Ivan Bratko
2018	J	`jnl`	Rewrite Rules for Debugging Student Programs in Programming Tutors. IEEE Trans. Learn. Technol. Timotej Lazar, Aleksander Sadikov, Ivan Bratko
2017	C	`conf`	A Machine Learning System for Controlling a Rescue Robot. RoboCup Timothy Wiley, Ivan Bratko, Claude Sammut
2017	A	`conf`	Automatic Extraction of AST Patterns for Debugging Student Programs. AIED Timotej Lazar, Martin Mozina, Ivan Bratko
2017	J	`jnl`	Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. Artif. Intell. Medicine Aleksander Sadikov, Vida Groznik, Martin Mozina, Jure Zabkar, Dag Nyholm, Mevludin Memedi, Ivan Bratko, Dejan Georgiev
2017	—	`conf`	Influence of Search Depth on Position Evaluation. ACG Matej Guid, Ivan Bratko
2017	—	`conf`	Multiobjective discovery of human-like driving strategies. GECCO (Companion) Erik Dovgan, Jaka Sodnik, Ivan Bratko, Bogdan Filipic
2017	—	`conf`	Reactive Motion Planning with Qualitative Constraints. IEA/AIE (1) Domen Soberl, Ivan Bratko
2016	J	`jnl`	Extracting qualitative relations from categorical data. Artif. Intell. Jure Zabkar, Ivan Bratko, Janez Demsar
2015	—	`ch.`	Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. Health Monitoring and Personalized Feedback using Multimedia Data Vida Groznik, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov
2015	C	`conf`	Qualitative Planning of Object Pushing by a Robot. ISMIS Domen Soberl, Jure Zabkar, Ivan Bratko
2014	—	`conf`	Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. ICHI Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko
2014	B	`conf`	Data-Driven Program Synthesis for Hint Generation in Programming Tutors. Intelligent Tutoring Systems Timotej Lazar, Ivan Bratko
2014	B	`conf`	Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop. Intelligent Tutoring Systems Matej Zapusek, Martin Mozina, Ivan Bratko, Joze Rugelj, Matej Guid
2014	A	`conf`	ParkinsonCheck Smart Phone App. ECAI Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko
2014	A*	`conf`	Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. AAAI Timothy Wiley, Claude Sammut, Ivan Bratko
2014	A	`conf`	Qualitative Simulation with Answer Set Programming. ECAI Timothy Wiley, Claude Sammut, Ivan Bratko
2013	B	`conf`	Building an Intelligent Tutoring System for Chess Endgames. CSEDU Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko
2013	J	`jnl`	DEX Methodology: Three Decades of Qualitative Multi-Attribute Modeling. Informatica (Slovenia) Marko Bohanec, Martin Znidarsic, Vladislav Rajkovic, Ivan Bratko, Blaz Zupan
2013	J	`jnl`	Editors's Introduction to the Special Issue on "100 Years of Alan Turing and 20 Years of SLAIS". Informatica (Slovenia) Dunja Mladenic, Stephen H. Muggleton, Ivan Bratko
2013	J	`jnl`	Elicitation of neurological knowledge with argument-based machine learning. Artif. Intell. Medicine Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko
2013	A*	`conf`	Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
2013	A	`conf`	Search-Based Estimation of Problem Difficulty for Humans. AIED Matej Guid, Ivan Bratko
2012	C	`conf`	ABML Knowledge Refinement Loop: A Case Study. ISMIS Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko
2012	B	`conf`	Goal-Oriented Conceptualization of Procedural Knowledge. ITS Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko
2012	J	`jnl`	ILP turns 20 - Biography and future challenges. Mach. Learn. Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan
2012	J	`jnl`	Improving vehicle aeroacoustics using machine learning. Eng. Appl. Artif. Intell. Damjan Kuznar, Martin Mozina, Marina Giordanino, Ivan Bratko
2012	J	`jnl`	Independent-valued minimax: Pathological or beneficial? Theor. Comput. Sci. Mitja Lustrek, Ivan Bratko, Matjaz Gams
2012	—	`book`	Prolog Programming for Artificial Intelligence, 4th Edition. Ivan Bratko
2011	—	`conf`	Autonomous Discovery of Abstract Concepts by a Robot. ICANNGA (1) Ivan Bratko
2011	B	`conf`	Elicitation of Neurological Knowledge with ABML. AIME Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko
2011	J	`jnl`	Embodied Concept Discovery through Qualitative Action Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Aljaz Kosmerlj, Ivan Bratko, Jure Zabkar
2011	J	`jnl`	Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
2011	J	`jnl`	Learning qualitative models from numerical data. Artif. Intell. Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
2011	J	`jnl`	Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. ICGA J. Matej Guid, Ivan Bratko
2010	—	`ch.`	Comparison of Machine Learning for Autonomous Robot Discovery. Advances in Machine Learning I Ivan Bratko
2010	B	`conf`	Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. EDM Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko
2010	B	`conf`	Discovery of Abstract Concepts by a Robot. ALT Ivan Bratko
2010	B	`conf`	Discovery of Abstract Concepts by a Robot. Discovery Science Ivan Bratko
2010	B	`conf`	Learning from Noisy Data Using a Non-covering ILP Algorithm. ILP Andrej Oblak, Ivan Bratko
2010	—	`conf`	Learning to Explain with ABML. ExaCt Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko
2010	J	`jnl`	When is it better not to look ahead? Artif. Intell. Dana S. Nau, Mitja Lustrek, Austin Parker, Ivan Bratko, Matjaz Gams
2009	B	`conf`	Argument Based Machine Learning from Examples and Text. ACIIDS Martin Mozina, Claudio Giuliano, Ivan Bratko
2009	—	`ch.`	Argument-Based Machine Learning. Argumentation in Artificial Intelligence Ivan Bratko, Jure Zabkar, Martin Mozina
2009	—	`conf`	Deriving Concepts and Strategies from Chess Tablebases. ACG Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko
2008	J	`jnl`	An Assessment of Machine Learning Methods for Robotic Discovery. J. Comput. Inf. Technol. Ivan Bratko
2008	B	`conf`	An Experiment in Robot Discovery with ILP. ILP Gregor Leban, Jure Zabkar, Ivan Bratko
2008	—	`conf`	An assessment of machine learning methods for robotic discovery. ITI Ivan Bratko
2008	—	`conf`	Arguments Extracted from Text in Argument Based Machine Learning: A Case Study. CIAEM Martin Mozina, Claudio Giuliano, Ivan Bratko
2008	A	`conf`	Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko
2008	J	`jnl`	How Trustworthy is Crafty's Analysis of Chess Champions? ICGA J. Matej Guid, Aritz Pérez, Ivan Bratko
2008	A	`conf`	LRTA. ECAI Aleksander Sadikov, Ivan Bratko
2008	—	`conf`	Learning Positional Features for Annotating Chess Games: A Case Study. Computers and Games Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov, Ivan Bratko
2007	J	`jnl`	Argument based machine learning. Artif. Intell. Martin Mozina, Jure Zabkar, Ivan Bratko
2007	—	`ch.`	Discovery of Genetic Networks Through Abduction and Qualitative Simulation. Computational Discovery of Scientific Knowledge Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Adam Kuspa, John A. Halter, Gad Shaulsky
2007	J	`jnl`	Factors Affecting Diminishing Returns for Searching Deeper. ICGA J. Matej Guid, Ivan Bratko
2007	—	`conf`	Likelihood based classification in bayesian networks. Artificial Intelligence and Applications Ivan Stajduhar, Ivan Bratko
2007	J	`jnl`	Machine learning applied to quality management - A study in ship repair domain. Comput. Ind. Alira Srdoc, Ivan Bratko, Alojzij Sluga
2006	C	`conf`	Argument Based Machine Learning in a Medical Domain. COMMA Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko
2006	A	`conf`	Argument Based Rule Learning. ECAI Martin Mozina, Jure Zabkar, Ivan Bratko
2006	C	`conf`	Argument-Based Machine Learning. ISMIS Ivan Bratko, Martin Mozina, Jure Zabkar
2006	—	`conf`	Automated Chess Tutor. Computers and Games Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko
2006	—	`conf`	Computer Analysis of Chess Champions. Computers and Games Matej Guid, Ivan Bratko
2006	J	`jnl`	Computer Analysis of World Chess Champions. ICGA J. Matej Guid, Ivan Bratko
2006	J	`jnl`	Is real-valued minimax pathological? Artif. Intell. Mitja Lustrek, Matjaz Gams, Ivan Bratko
2006	J	`jnl`	Learning long-term chess strategies from databases. Mach. Learn. Aleksander Sadikov, Ivan Bratko
2006	A	`conf`	Multi-agent strategic modeling in a robotic soccer domain. AAMAS Andraz Bezek, Matjaz Gams, Ivan Bratko
2006	A	`conf`	Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search. ECAI Aleksander Sadikov, Ivan Bratko
2006	—	`conf`	Search Versus Knowledge Revisited Again. Computers and Games Aleksander Sadikov, Ivan Bratko
2006	J	`jnl`	VizRank: Data Visualization Guided by Machine Learning. Data Min. Knowl. Discov. Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
2006	—	`conf`	Why Is Rule Learning Optimistic and How to Correct It. ECML Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko
2005	C	`conf`	Application of Argument Based Machine Learning to Law. ICAIL Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko
2005	J	`jnl`	Argument Based Machine Learning Applied to Law. Artif. Intell. Law Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko
2005	J	`jnl`	Bias and pathology in minimax search. Theor. Comput. Sci. Aleksander Sadikov, Ivan Bratko, Igor Kononenko
2005	A*	`conf`	Combining Learning Constraints and Numerical Regression. IJCAI Dorian Suc, Ivan Bratko
2005	J	`jnl`	Microarray data mining with visual programming. Bioinform. Tomaz Curk, Janez Demsar, Qikai Xu, Gregor Leban, Uros Petrovic, Ivan Bratko, Gad Shaulsky, Blaz Zupan
2005	A*	`conf`	Nomograms for visualizing support vector machines. KDD Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan
2005	A*	`conf`	Simple and effective visual models for gene expression cancer diagnostics. KDD Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupan
2005	J	`jnl`	VizRank: finding informative data projections in functional genomics by machine learning. Bioinform. Gregor Leban, Ivan Bratko, Uros Petrovic, Tomaz Curk, Blaz Zupan
2005	A*	`conf`	Why Minimax Works: An Alternative Explanation. IJCAI Mitja Lustrek, Matjaz Gams, Ivan Bratko
2004	J	`jnl`	Learning Qualitative Models. AI Mag. Ivan Bratko, Dorian Suc
2004	—	`conf`	Learning to Fly Simple and Robust. ECML Dorian Suc, Ivan Bratko, Claude Sammut
2004	J	`jnl`	Qualitatively faithful quantitative prediction. Artif. Intell. Dorian Suc, Daniel Vladusic, Ivan Bratko
2004	A*	`conf`	Testing the significance of attribute interactions. ICML Aleks Jakulin, Ivan Bratko
2003	J	`jnl`	A Program for Playing Tarok. ICGA J. Mitja Lustrek, Matjaz Gams, Ivan Bratko
2003	—	`conf`	Analyzing Attribute Dependencies. PKDD Aleks Jakulin, Ivan Bratko
2003	B	`conf`	Attribute Interactions in Medical Data Analysis. AIME Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez Demsar, Blaz Zupan
2003	J	`jnl`	Categorization of Numerical Values for DEX Hierarchical Models. Informatica (Slovenia) Martin Znidarsic, Marko Bohanec, Ivan Bratko
2003	J	`jnl`	GenePath: a system for automated construction of genetic networks from mutant data. Bioinform. Blaz Zupan, Janez Demsar, Ivan Bratko, Peter Juvan, John A. Halter, Adam Kuspa, Gad Shaulsky
2003	J	`jnl`	GenePath: a system for inference of genetic networks and proposal of genetic experiments. Artif. Intell. Medicine Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Tomaz Curk, Urban Borstnik, J. Robert Beck, John A. Halter, Adam Kuspa, Gad Shaulsky
2003	—	`conf`	Improving Numerical Prediction with Qualitative Constraints. ECML Dorian Suc, Ivan Bratko
2003	A*	`conf`	Qualitatively Faithful Quantitative Prediction. IJCAI Dorian Suc, Daniel Vladusic, Ivan Bratko
2003	J	`jnl`	Quantifying and Visualizing Attribute Interactions CoRR Aleks Jakulin, Ivan Bratko
2003	—	`conf`	Search versus Knowledge: An Empirical Study of Minimax on KRK. ACG Aleksander Sadikov, Ivan Bratko, Igor Kononenko
2003	—	`ch.`	Understanding Control Strategies. Planning Based on Decision Theory Ivan Bratko, Dorian Suc
2002	A*	`conf`	Qualitative reverse engineering. ICML Dorian Suc, Ivan Bratko
2002	C	`conf`	Using Machine Learning to Understand Operator's Skill. IEA/AIE Ivan Bratko, Dorian Suc
2001	B	`conf`	Abductive Inference of Genetic Networks. AIME Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky
2001	—	`conf`	Decisions at Hand: A Decision Support System on Handhelds. MedInfo Blaz Zupan, Ales Porenta, Gaj Vidmar, Noriaki Aoki, Ivan Bratko, J. Robert Beck
2001	—	`conf`	Function Decomposition in Machine Learning. Machine Learning and Its Applications Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar
2001	—	`conf`	GenePath: A Computer Program for Genetic Pathway Discovery from Mutant Data. MedInfo Janez Demsar, Blaz Zupan, Ivan Bratko, Adam Kuspa, John A. Halter, Robert J. Beck, Gad Shaulsky
2001	—	`conf`	Induction of Qualitative Trees. ECML Dorian Suc, Ivan Bratko
2001	—	`ch.`	Transformation of attribute space by function decomposition. Data Fusion and Perception Janez Demsar, Blaz Zupan, Ivan Bratko
2001	—	`conf`	Web-Enabled Knowledge-Based Analysis of Genetic Data. ISMDA Peter Juvan, Blaz Zupan, Janez Demsar, Ivan Bratko, John A. Halter, Adam Kuspa, Gad Shaulsky
2000	A*	`conf`	Induction of Concept Hierarchies from Noisy Data. ICML Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar
2000	J	`jnl`	Machine learning for survival analysis: a case study on recurrence of prostate cancer. Artif. Intell. Medicine Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko
2000	—	`conf`	Problem Decomposition for Behavioural Cloning. ECML Dorian Suc, Ivan Bratko
2000	J	`jnl`	Qualitative Trees Applied to Bicycle Riding. Electron. Trans. Artif. Intell. Dorian Suc, Ivan Bratko
2000	J	`jnl`	Skill modeling through symbolic reconstruction of operator's trajectories. IEEE Trans. Syst. Man Cybern. Part A Dorian Suc, Ivan Bratko
1999	J	`jnl`	Learning by Discovering Concept Hierarchies. Artif. Intell. Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko
1999	—	`conf`	Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer. AIMDM Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko
1999	—	`conf`	Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence. MIE Janez Demsar, Blaz Zupan, Michael W. Kattan, J. Robert Beck, Ivan Bratko
1999	A*	`ed.`	Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999 ICML Ivan Bratko, Saso Dzeroski
1999	B	`conf`	Refining Complete Hypotheses in ILP. ILP Ivan Bratko
1999	J	`jnl`	Symbolic and qualitative reconstruction of control skill. Electron. Trans. Artif. Intell. Dorian Suc, Ivan Bratko
1998	J	`jnl`	Feature Transformation by Function Decomposition. IEEE Intell. Syst. Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko
1998	J	`jnl`	Knowledge base for finite-element mesh design learned by inductive logic programming. Artif. Intell. Eng. Des. Anal. Manuf. Bojan Dolsak, Ivan Bratko, Anton Jezernik
1997	A*	`conf`	A Dataset Decomposition Approach to Data Mining and Machine Discovery. KDD Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cestnik
1997	—	`conf`	Constructing Intermediate Concepts by Decomposition of Real Functions. ECML Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko
1997	J	`jnl`	First Order Regression. Mach. Learn. Aram Karalic, Ivan Bratko
1997	A*	`conf`	Machine Learning by Function Decomposition. ICML Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar
1997	—	`conf`	Skill Reconstruction as Induction of LQ Controllers with Subgoals. IJCAI (2) Dorian Suc, Ivan Bratko
1996	J	`jnl`	AI in Eastern and Central Europe. Informatica (Slovenia) Matjaz Gams, Ivan Bratko
1996	J	`jnl`	Attribute-Based Learning. AI Commun. Ivan Bratko, Bojan Cestnik, Igor Kononenko
1995	J	`jnl`	Applications of Inductive Logic Programming. Commun. ACM Ivan Bratko, Stephen H. Muggleton
1995	—	`conf`	Control Skill, Machine Learning and Hand-crafting in Controller Design. Machine Intelligence 15 Ivan Bratko, Tanja Urbancic
1995	J	`jnl`	Engineering Applications of ILP. New Gener. Comput. Ivan Bratko, Saso Dzeroski
1994	J	`jnl`	A knowledge base for finite element mesh design. Artif. Intell. Eng. Bojan Dolsak, Anton Jezernik, Ivan Bratko
1994	J	`jnl`	Applications of Inductive Logic Programming. SIGART Bull. Ivan Bratko, Ross D. King
1994	J	`jnl`	Machine Learning and Qualitative Reasoning. Mach. Learn. Ivan Bratko
1994	A	`conf`	Reconstructing Human Skill with Machine Learning. ECAI Tanja Urbancic, Ivan Bratko
1994	J	`jnl`	Trading Accuracy for Simplicity in Decision Trees. Mach. Learn. Marko Bohanec, Ivan Bratko
1994	—	`conf`	Using Machine Learning Techniques to Interpret Results from Discrete Event Simulation. ECML Dunja Mladenic, Ivan Bratko, Ray J. Paul, Marko Grobelnik
1993	J	`jnl`	Applications of Machine Learning: Towards Knowledge Synthesis. New Gener. Comput. Ivan Bratko
1993	—	`conf`	Deriving qualitative control for dynamic systems. Machine Intelligence 14 Ivan Bratko
1993	J	`jnl`	Machine learning in artificial intelligence. Artif. Intell. Eng. Ivan Bratko
1992	—	`conf`	Applications of Machine Learning: Towards Knowledge Synthesis. FGCS Ivan Bratko
1992	—	`conf`	Dynamic System Simulation with Qualitative Differential Equations. Advanced Topics in Artificial Intelligence Ivan Bratko
1992	—	`conf`	Inductive Learning Applied to Program Construction and Verification. AIFIPP Ivan Bratko, Marko Grobelnik
1991	J	`jnl`	Comments to 'Chunking for Experience'. ICCA J. Donald Michie, Ivan Bratko
1991	J	`jnl`	Information-Based Evaluation Criterion for Classifier's Performance. Mach. Learn. Igor Kononenko, Ivan Bratko
1991	—	`conf`	Learning Qualitative Models of Dynamic Systems. ML Ivan Bratko, Stephen H. Muggleton, Alen Varsek
1991	—	`conf`	On Estimating Probabilities in Tree Pruning. EWSL Bojan Cestnik, Ivan Bratko
1990	—	`book`	PROLOG Programming for Artificial Intelligence, Second Edition Ivan Bratko
1989	—	`book`	KARDIO - a study in deep and qualitative knowledge for expert systems. Ivan Bratko, Igor Mozetic, Nada Lavrac
1989	B	`conf`	Medical Analysis of Automatically Induced Diagnostic Rules. AIME Vladimir Pirnat, Igor Kononenko, T. Janc, Ivan Bratko
1988	A	`conf`	Learning Redundant Rules in Noisy Domains. ECAI Bojan Cestnik, Ivan Bratko
1987	J	`jnl`	AI and Robotics; Flexibility and Integration. Robotica Peter Mowforth, Ivan Bratko
1987	—	`conf`	ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users. EWSL Bojan Cestnik, Igor Kononenko, Ivan Bratko
1987	J	`jnl`	Ideas on Knowledge Synthesis ..... a correction. ICCA J. Donald Michie, Ivan Bratko
1987	J	`jnl`	Ideas on Knowledge Synthesis Stemming from the KBBKN Endgame. ICCA J. Donald Michie, Ivan Bratko
1987	—	`ed.`	Progress in Machine Learning - Proceedings of EWSL 87: 2nd European Working Session on Learning, Bled, Yugoslavia, May 1987 EWSL Ivan Bratko, Nada Lavrac
1987	J	`jnl`	Some comments on rule induction. Knowl. Eng. Rev. Ivan Bratko, Donald Michie
1984	J	`jnl`	Detection of Positional Patterns in Chess. ICCA J. Ivan Bratko, Peter Tancig, S. Tancig
1983	B	`conf`	An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling. Logic Programming Workshop Igor Mozetic, Ivan Bratko, Nada Lavrac
1982	A	`conf`	Symbolic Derivation of Chess Patterns. ECAI Ivan Bratko
1981	J	`jnl`	Recognition of Complex Patterns Using Cellular Arrays. Comput. J. Zdenek Zdráhal, Ivan Bratko, Alen Shapiro
1980	J	`jnl`	An Advice Program for a Complex Chess Programming Task. Comput. J. Ivan Bratko, Donald Michie
1979	A*	`conf`	Implementing Search Heuristics Using the AL1 Advice-Taking System. IJCAI Ivan Bratko
1978	—	`conf`	Advice Table Representations of Chess End-Game Knowledge. AISB/GI (ECAI) Donald Michie, Ivan Bratko
1978	J	`jnl`	Pattern-Based Representation of Chess End-Game Knowledge. Comput. J. Ivan Bratko, Danny Kopec, Donald Michie
1978	J	`jnl`	Proving Correctness of Strategies in the AL1 Assertional Language. Inf. Process. Lett. Ivan Bratko