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ORCIDIvan Bratko
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- affiliation: University of Ljubljana, Slovenia
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2020 – today
- 2024
[j70]Ana Faric, Ivan Bratko:
Machine Bias: A Survey of Issues. Informatica (Slovenia) 48(2) (2024)- 2023
- [c88]Domen Soberl
, Ivan Bratko:
Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. DS 2023: 446-459 - 2022
- [p7]Ivan Bratko, Dayana Hristova, Matej Guid:
Predicting Problem Difficulty in Chess. Human-Like Machine Intelligence 2022: 487-504 - 2021
- [j69]Andreja Istenic, Ivan Bratko, Violeta Rosanda:
Are pre-service teachers disinclined to utilise embodied humanoid social robots in the classroom? Br. J. Educ. Technol. 52(6): 2340-2358 (2021) - [j68]Jana Krivec, Ivan Bratko, Matej Guid:
Identification and conceptualization of procedural chunks in chess. Cogn. Syst. Res. 69: 22-40 (2021) - 2020
- [j67]Domen Soberl, Ivan Bratko, Jure Zabkar:
Learning to Control a Quadcopter Qualitatively. J. Intell. Robotic Syst. 100(3): 1097-1110 (2020)
2010 – 2019
- 2019
- [j66]Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar:
Extreme value correction: a method for correcting optimistic estimations in rule learning. Mach. Learn. 108(2): 297-329 (2019) - [c87]Domen Soberl, Ivan Bratko:
Learning Explainable Control Strategies Demonstrated on the Pole-and-Cart System. IEA/AIE 2019: 483-494 - 2018
- [j65]Martin Mozina, Timotej Lazar, Ivan Bratko:
Identifying typical approaches and errors in Prolog programming with argument-based machine learning. Expert Syst. Appl. 112: 110-124 (2018) - [j64]Ivan Bratko:
AlphaZero - What's Missing? Informatica (Slovenia) 42(1) (2018) - [j63]Timotej Lazar, Aleksander Sadikov, Ivan Bratko:
Rewrite Rules for Debugging Student Programs in Programming Tutors. IEEE Trans. Learn. Technol. 11(4): 429-440 (2018) - 2017
- [j62]Aleksander Sadikov, Vida Groznik, Martin Mozina, Jure Zabkar, Dag Nyholm, Mevludin Memedi, Ivan Bratko, Dejan Georgiev:
Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. Artif. Intell. Medicine 81: 54-62 (2017) - [c86]Matej Guid, Ivan Bratko:
Influence of Search Depth on Position Evaluation. ACG 2017: 115-126 - [c85]Timotej Lazar, Martin Mozina, Ivan Bratko:
Automatic Extraction of AST Patterns for Debugging Student Programs. AIED 2017: 162-174 - [c84]Erik Dovgan, Jaka Sodnik, Ivan Bratko, Bogdan Filipic:
Multiobjective discovery of human-like driving strategies. GECCO (Companion) 2017: 1319-1326 - [c83]Domen Soberl, Ivan Bratko:
Reactive Motion Planning with Qualitative Constraints. IEA/AIE (1) 2017: 41-50 - [c82]Timothy Wiley, Ivan Bratko, Claude Sammut:
A Machine Learning System for Controlling a Rescue Robot. RoboCup 2017: 108-119 - 2016
- [j61]Jure Zabkar, Ivan Bratko, Janez Demsar:
Extracting qualitative relations from categorical data. Artif. Intell. 239: 54-69 (2016) - 2015
- [c81]Domen Soberl, Jure Zabkar, Ivan Bratko:
Qualitative Planning of Object Pushing by a Robot. ISMIS 2015: 410-419 - [p6]Vida Groznik, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov:
Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 47-71 - 2014
- [c80]Timothy Wiley, Claude Sammut, Ivan Bratko:
Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours. AAAI 2014: 2578-2584 - [c79]Timothy Wiley, Claude Sammut, Ivan Bratko:
Qualitative Simulation with Answer Set Programming. ECAI 2014: 915-920 - [c78]Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko:
ParkinsonCheck Smart Phone App. ECAI 2014: 1213-1214 - [c77]Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko:
Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. ICHI 2014: 294-299 - [c76]Timotej Lazar, Ivan Bratko:
Data-Driven Program Synthesis for Hint Generation in Programming Tutors. Intelligent Tutoring Systems 2014: 306-311 - [c75]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
- [j60]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) - [j59]Dunja Mladenic, Stephen H. Muggleton, Ivan Bratko:
Editors's Introduction to the Special Issue on "100 Years of Alan Turing and 20 Years of SLAIS". Informatica (Slovenia) 37(1): 1 (2013) - [j58]Marko Bohanec, Martin Znidarsic, Vladislav Rajkovic, Ivan Bratko, Blaz Zupan:
DEX Methodology: Three Decades of Qualitative Multi-Attribute Modeling. Informatica (Slovenia) 37(1): 49-54 (2013) - [c74]Matej Guid, Ivan Bratko:
Search-Based Estimation of Problem Difficulty for Humans. AIED 2013: 860-863 - [c73]Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko:
Building an Intelligent Tutoring System for Chess Endgames. CSEDU 2013: 263-266 - [c72]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI 2013: 3195-3200 - 2012
- [b3]Ivan Bratko:
Prolog Programming for Artificial Intelligence, 4th Edition. Addison-Wesley 2012, ISBN 978-0-3214-1746-6, pp. I-XXI, 1-673 - [j57]Damjan Kuznar, Martin Mozina, Marina Giordanino, Ivan Bratko:
Improving vehicle aeroacoustics using machine learning. Eng. Appl. Artif. Intell. 25(5): 1053-1061 (2012) - [j56]Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan:
ILP turns 20 - Biography and future challenges. Mach. Learn. 86(1): 3-23 (2012) - [j55]Mitja Lustrek, Ivan Bratko, Matjaz Gams:
Independent-valued minimax: Pathological or beneficial? Theor. Comput. Sci. 422: 59-77 (2012) - [c71]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 - [c70]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko:
Goal-Oriented Conceptualization of Procedural Knowledge. ITS 2012: 286-291 - 2011
- [j54]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning qualitative models from numerical data. Artif. Intell. 175(9-10): 1604-1619 (2011) - [j53]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) - [j52]Aljaz Kosmerlj, Ivan Bratko, Jure Zabkar:
Embodied Concept Discovery through Qualitative Action Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(3): 453-475 (2011) - [j51]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) 35(4): 435-444 (2011) - [c69]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 - [c68]Ivan Bratko:
Autonomous Discovery of Abstract Concepts by a Robot. ICANNGA (1) 2011: 1-11 - 2010
- [j50]Dana S. Nau, Mitja Lustrek, Austin Parker, Ivan Bratko, Matjaz Gams:
When is it better not to look ahead? Artif. Intell. 174(16-17): 1323-1338 (2010) - [c67]Ivan Bratko:
Discovery of Abstract Concepts by a Robot. ALT 2010: 32 - [c66]Ivan Bratko:
Discovery of Abstract Concepts by a Robot. Discovery Science 2010: 372-379 - [c65]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 - [c64]Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Learning to Explain with ABML. ExaCt 2010: 37-48 - [c63]Andrej Oblak, Ivan Bratko:
Learning from Noisy Data Using a Non-covering ILP Algorithm. ILP 2010: 190-197 - [p5]Ivan Bratko:
Comparison of Machine Learning for Autonomous Robot Discovery. Advances in Machine Learning I 2010: 441-456
2000 – 2009
- 2009
- [c62]Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko:
Deriving Concepts and Strategies from Chess Tablebases. ACG 2009: 195-207 - [c61]Martin Mozina, Claudio Giuliano, Ivan Bratko:
Argument Based Machine Learning from Examples and Text. ACIIDS 2009: 18-23 - [p4]Ivan Bratko, Jure Zabkar, Martin Mozina:
Argument-Based Machine Learning. Argumentation in Artificial Intelligence 2009: 463-482 - 2008
- [j49]Ivan Bratko:
An Assessment of Machine Learning Methods for Robotic Discovery. J. Comput. Inf. Technol. 16(4): 247-254 (2008) - [j48]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) - [c60]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 - [c59]Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI 2008: 234-238 - [c58]Aleksander Sadikov, Ivan Bratko:
LRTA. ECAI 2008: 897-898 - [c57]Gregor Leban, Jure Zabkar, Ivan Bratko:
An Experiment in Robot Discovery with ILP. ILP 2008: 77-90 - [c56]Ivan Bratko:
An assessment of machine learning methods for robotic discovery. ITI 2008: 53-60 - 2007
- [j47]Martin Mozina, Jure Zabkar, Ivan Bratko:
Argument based machine learning. Artif. Intell. 171(10-15): 922-937 (2007) - [j46]Alira Srdoc, Ivan Bratko, Alojzij Sluga:
Machine learning applied to quality management - A study in ship repair domain. Comput. Ind. 58(5): 464-473 (2007) - [j45]Matej Guid, Ivan Bratko:
Factors Affecting Diminishing Returns for Searching Deeper. J. Int. Comput. Games Assoc. 30(2): 75-84 (2007) - [c55]Ivan Stajduhar, Ivan Bratko:
Likelihood based classification in bayesian networks. Artificial Intelligence and Applications 2007: 367-372 - [p3]Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Adam Kuspa, John A. Halter, Gad Shaulsky:
Discovery of Genetic Networks Through Abduction and Qualitative Simulation. Computational Discovery of Scientific Knowledge 2007: 228-247 - 2006
- [j44]Daniel Vladusic, Dorian Suc, Ivan Bratko, W. Rulka:
Q2 Learning and Its Application to Car Modelling. Appl. Artif. Intell. 20(8): 675-701 (2006) - [j43]Mitja Lustrek, Matjaz Gams, Ivan Bratko:
Is real-valued minimax pathological? Artif. Intell. 170(6-7): 620-642 (2006) - [j42]Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko:
VizRank: Data Visualization Guided by Machine Learning. Data Min. Knowl. Discov. 13(2): 119-136 (2006) - [j41]Matej Guid, Ivan Bratko:
Computer Analysis of World Chess Champions. J. Int. Comput. Games Assoc. 29(2): 65-73 (2006) - [j40]Aleksander Sadikov, Ivan Bratko:
Learning long-term chess strategies from databases. Mach. Learn. 63(3): 329-340 (2006) - [c54]Andraz Bezek, Matjaz Gams, Ivan Bratko:
Multi-agent strategic modeling in a robotic soccer domain. AAMAS 2006: 457-464 - [c53]Matej Guid, Ivan Bratko:
Computer Analysis of Chess Champions. Computers and Games 2006: 1-12 - [c52]Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko:
Automated Chess Tutor. Computers and Games 2006: 13-25 - [c51]Aleksander Sadikov, Ivan Bratko:
Search Versus Knowledge Revisited Again. Computers and Games 2006: 172-180 - [c50]Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko:
Argument Based Machine Learning in a Medical Domain. COMMA 2006: 59-70 - [c49]Aleksander Sadikov, Ivan Bratko:
Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search. ECAI 2006: 148-152 - [c48]Martin Mozina, Jure Zabkar, Ivan Bratko:
Argument Based Rule Learning. ECAI 2006: 504-508 - [c47]Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko:
Why Is Rule Learning Optimistic and How to Correct It. ECML 2006: 330-340 - [c46]Ivan Bratko, Martin Mozina, Jure Zabkar:
Argument-Based Machine Learning. ISMIS 2006: 11-17 - 2005
- [j39]Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
Argument Based Machine Learning Applied to Law. Artif. Intell. Law 13(1): 53-73 (2005) - [j38]Tomaz Curk, Janez Demsar, Qikai Xu, Gregor Leban, Uros Petrovic, Ivan Bratko, Gad Shaulsky, Blaz Zupan:
Microarray data mining with visual programming. Bioinform. 21(3): 396-398 (2005) - [j37]Gregor Leban, Ivan Bratko, Uros Petrovic, Tomaz Curk, Blaz Zupan:
VizRank: finding informative data projections in functional genomics by machine learning. Bioinform. 21(3): 413-414 (2005) - [j36]Aleksander Sadikov, Ivan Bratko, Igor Kononenko:
Bias and pathology in minimax search. Theor. Comput. Sci. 349(2): 268-281 (2005) - [c45]Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
Application of Argument Based Machine Learning to Law. ICAIL 2005: 248-249 - [c44]Mitja Lustrek, Matjaz Gams, Ivan Bratko:
Why Minimax Works: An Alternative Explanation. IJCAI 2005: 212-217 - [c43]Dorian Suc, Ivan Bratko:
Combining Learning Constraints and Numerical Regression. IJCAI 2005: 596-602 - [c42]Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan:
Nomograms for visualizing support vector machines. KDD 2005: 108-117 - [c41]Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupan:
Simple and effective visual models for gene expression cancer diagnostics. KDD 2005: 167-176 - 2004
- [j35]Dorian Suc, Daniel Vladusic, Ivan Bratko:
Qualitatively faithful quantitative prediction. Artif. Intell. 158(2): 189-214 (2004) - [j34]Ivan Bratko, Dorian Suc:
Learning Qualitative Models. AI Mag. 24(4): 107-119 (2004) - [c40]Dorian Suc, Ivan Bratko, Claude Sammut:
Learning to Fly Simple and Robust. ECML 2004: 407-418 - [c39]Aleks Jakulin, Ivan Bratko:
Testing the significance of attribute interactions. ICML 2004 - 2003
- [j33]Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Tomaz Curk, Urban Borstnik, J. Robert Beck, John A. Halter, Adam Kuspa, Gad Shaulsky:
GenePath: a system for inference of genetic networks and proposal of genetic experiments. Artif. Intell. Medicine 29(1-2): 107-130 (2003) - [j32]Blaz Zupan, Janez Demsar, Ivan Bratko, Peter Juvan, John A. Halter, Adam Kuspa, Gad Shaulsky:
GenePath: a system for automated construction of genetic networks from mutant data. Bioinform. 19(3): 383-389 (2003) - [j31]Mitja Lustrek, Matjaz Gams, Ivan Bratko:
A Program for Playing Tarok. J. Int. Comput. Games Assoc. 26(3): 190-197 (2003) - [j30]Martin Znidarsic, Marko Bohanec, Ivan Bratko:
Categorization of Numerical Values for DEX Hierarchical Models. Informatica (Slovenia) 27(4): 405-409 (2003) - [c38]Aleksander Sadikov, Ivan Bratko, Igor Kononenko:
Search versus Knowledge: An Empirical Study of Minimax on KRK. ACG 2003: 33-44 - [c37]Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez Demsar, Blaz Zupan:
Attribute Interactions in Medical Data Analysis. AIME 2003: 229-238 - [c36]Dorian Suc, Ivan Bratko:
Improving Numerical Prediction with Qualitative Constraints. ECML 2003: 385-396 - [c35]Dorian Suc, Daniel Vladusic, Ivan Bratko:
Qualitatively Faithful Quantitative Prediction. IJCAI 2003: 1052-1060 - [c34]Aleks Jakulin, Ivan Bratko:
Analyzing Attribute Dependencies. PKDD 2003: 229-240 - [p2]Ivan Bratko, Dorian Suc:
Understanding Control Strategies. Planning Based on Decision Theory 2003: 85-98 - [i1]Aleks Jakulin, Ivan Bratko:
Quantifying and Visualizing Attribute Interactions. CoRR cs.AI/0308002 (2003) - 2002
- [c33]Dorian Suc, Ivan Bratko:
Qualitative reverse engineering. ICML 2002: 610-617 - [c32]Ivan Bratko, Dorian Suc:
Using Machine Learning to Understand Operator's Skill. IEA/AIE 2002: 812-823 - 2001
- [c31]Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar:
Function Decomposition in Machine Learning. Machine Learning and Its Applications 2001: 71-101 - [c30]Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky:
Abductive Inference of Genetic Networks. AIME 2001: 304-313 - [c29]Dorian Suc, Ivan Bratko:
Induction of Qualitative Trees. ECML 2001: 442-453 - [c28]Peter Juvan, Blaz Zupan, Janez Demsar, Ivan Bratko, John A. Halter, Adam Kuspa, Gad Shaulsky:
Web-Enabled Knowledge-Based Analysis of Genetic Data. ISMDA 2001: 113-119 - [c27]Blaz Zupan, Ales Porenta, Gaj Vidmar, Noriaki Aoki, Ivan Bratko, J. Robert Beck:
Decisions at Hand: A Decision Support System on Handhelds. MedInfo 2001: 566-570 - [c26]Janez Demsar, Blaz Zupan, Ivan Bratko, Adam Kuspa, John A. Halter, Robert J. Beck, Gad Shaulsky:
GenePath: A Computer Program for Genetic Pathway Discovery from Mutant Data. MedInfo 2001: 956-959 - [p1]Janez Demsar, Blaz Zupan, Ivan Bratko:
Transformation of attribute space by function decomposition. Data Fusion and Perception 2001: 237-247 - 2000
- [j29]Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko:
Machine learning for survival analysis: a case study on recurrence of prostate cancer. Artif. Intell. Medicine 20(1): 59-75 (2000) - [j28]Dorian Suc, Ivan Bratko:
Qualitative Trees Applied to Bicycle Riding. Electron. Trans. Artif. Intell. 4(B): 125-140 (2000) - [j27]Dorian Suc, Ivan Bratko:
Skill modeling through symbolic reconstruction of operator's trajectories. IEEE Trans. Syst. Man Cybern. Part A 30(6): 617-624 (2000) - [c25]Dorian Suc, Ivan Bratko:
Problem Decomposition for Behavioural Cloning. ECML 2000: 382-391 - [c24]Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar:
Induction of Concept Hierarchies from Noisy Data. ICML 2000: 1199-1206
1990 – 1999
- 1999
- [j26]Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko:
Learning by Discovering Concept Hierarchies. Artif. Intell. 109(1-2): 211-242 (1999) - [j25]Dorian Suc, Ivan Bratko:
Symbolic and qualitative reconstruction of control skill. Electron. Trans. Artif. Intell. 3(B): 1-22 (1999) - [c23]Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko:
Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer. AIMDM 1999: 346-355 - [c22]Ivan Bratko:
Refining Complete Hypotheses in ILP. ILP 1999: 44-55 - [c21]Janez Demsar, Blaz Zupan, Michael W. Kattan, J. Robert Beck, Ivan Bratko:
Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence. MIE 1999: 436-441 - [e2]Ivan Bratko, Saso Dzeroski:
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999. Morgan Kaufmann 1999, ISBN 1-55860-612-2 [contents] - 1998
- [j24]Bojan Dolsak, Ivan Bratko, Anton Jezernik:
Knowledge base for finite-element mesh design learned by inductive logic programming. Artif. Intell. Eng. Des. Anal. Manuf. 12(2): 95-106 (1998) - [j23]Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko:
Feature Transformation by Function Decomposition. IEEE Intell. Syst. 13(2): 38-43 (1998) - 1997
- [j22]Aram Karalic, Ivan Bratko:
First Order Regression. Mach. Learn. 26(2-3): 147-176 (1997) - [c20]Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko:
Constructing Intermediate Concepts by Decomposition of Real Functions. ECML 1997: 93-107 - [c19]Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar:
Machine Learning by Function Decomposition. ICML 1997: 421-429 - [c18]Dorian Suc, Ivan Bratko:
Skill Reconstruction as Induction of LQ Controllers with Subgoals. IJCAI (2) 1997: 914-919 - [c17]Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cestnik:
A Dataset Decomposition Approach to Data Mining and Machine Discovery. KDD 1997: 299-302 - 1996
- [j21]Ivan Bratko, Bojan Cestnik, Igor Kononenko:
Attribute-Based Learning. AI Commun. 9(1): 27-32 (1996) - [j20]Matjaz Gams, Ivan Bratko:
AI in Eastern and Central Europe. Informatica (Slovenia) 20(2) (1996) - 1995
- [j19]Ivan Bratko, Stephen H. Muggleton:
Applications of Inductive Logic Programming. Commun. ACM 38(11): 65-70 (1995) - [j18]Ivan Bratko, Saso Dzeroski:
Engineering Applications of ILP. New Gener. Comput. 13(3&4): 313-333 (1995) - [c16]Ivan Bratko, Tanja Urbancic:
Control Skill, Machine Learning and Hand-crafting in Controller Design. Machine Intelligence 15 1995: 130-153 - 1994
- [j17]Bojan Dolsak, Anton Jezernik, Ivan Bratko:
A knowledge base for finite element mesh design. Artif. Intell. Eng. 9(1): 19-27 (1994) - [j16]Ivan Bratko:
Machine Learning and Qualitative Reasoning. Mach. Learn. 14(1): 305-312 (1994) - [j15]Marko Bohanec, Ivan Bratko:
Trading Accuracy for Simplicity in Decision Trees. Mach. Learn. 15(3): 223-250 (1994) - [j14]Ivan Bratko, Ross D. King:
Applications of Inductive Logic Programming. SIGART Bull. 5(1): 43-49 (1994) - [c15]Tanja Urbancic, Ivan Bratko:
Reconstructing Human Skill with Machine Learning. ECAI 1994: 498-502 - [c14]Dunja Mladenic, Ivan Bratko, Ray J. Paul, Marko Grobelnik:
Using Machine Learning Techniques to Interpret Results from Discrete Event Simulation. ECML 1994: 399-402 - 1993
- [j13]Ivan Bratko:
Machine learning in artificial intelligence. Artif. Intell. Eng. 8(3): 159-164 (1993) - [j12]Ivan Bratko:
Applications of Machine Learning: Towards Knowledge Synthesis. New Gener. Comput. 11(3): 343-360 (1993) - [c13]Ivan Bratko:
Deriving qualitative control for dynamic systems. Machine Intelligence 14 1993: 373-394 - 1992
- [c12]Ivan Bratko:
Dynamic System Simulation with Qualitative Differential Equations. Advanced Topics in Artificial Intelligence 1992: 431-439 - [c11]Ivan Bratko, Marko Grobelnik:
Inductive Learning Applied to Program Construction and Verification. AIFIPP 1992: 169-182 - [c10]Ivan Bratko:
Applications of Machine Learning: Towards Knowledge Synthesis. FGCS 1992: 1207-1218 - 1991
- [j11]Donald Michie, Ivan Bratko:
Comments to 'Chunking for Experience'. J. Int. Comput. Games Assoc. 14(1): 18 (1991) - [j10]Igor Kononenko, Ivan Bratko:
Information-Based Evaluation Criterion for Classifier's Performance. Mach. Learn. 6: 67-80 (1991) - [c9]Bojan Cestnik, Ivan Bratko:
On Estimating Probabilities in Tree Pruning. EWSL 1991: 138-150 - [c8]Ivan Bratko, Stephen H. Muggleton, Alen Varsek:
Learning Qualitative Models of Dynamic Systems. ML 1991: 385-388 - 1990
- [b2]Ivan Bratko:
PROLOG Programming for Artificial Intelligence, Second Edition. Addison-Wesley 1990, ISBN 0-201-41606-9
1980 – 1989
- 1989
- [b1]Ivan Bratko, Igor Mozetic, Nada Lavrac:
KARDIO - a study in deep and qualitative knowledge for expert systems. MIT Press 1989, ISBN 978-0-262-02273-6, pp. I-XIV, 1-260 - [c7]Vladimir Pirnat, Igor Kononenko, T. Janc, Ivan Bratko:
Medical Analysis of Automatically Induced Diagnostic Rules. AIME 1989: 24-36 - 1988
- [c6]Bojan Cestnik, Ivan Bratko:
Learning Redundant Rules in Noisy Domains. ECAI 1988: 348-350 - 1987
- [j9]Donald Michie, Ivan Bratko:
Ideas on Knowledge Synthesis Stemming from the KBBKN Endgame. J. Int. Comput. Games Assoc. 10(1): 3-13 (1987) - [j8]Donald Michie, Ivan Bratko:
Ideas on Knowledge Synthesis ..... a correction. J. Int. Comput. Games Assoc. 10(2): 94 (1987) - [j7]Ivan Bratko, Donald Michie:
Some comments on rule induction. Knowl. Eng. Rev. 2(1): 65-67 (1987) - [j6]Peter Mowforth, Ivan Bratko:
AI and Robotics; Flexibility and Integration. Robotica 5(2): 93-98 (1987) - [c5]Bojan Cestnik, Igor Kononenko, Ivan Bratko:
ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users. EWSL 1987: 31-45 - [e1]Ivan Bratko, Nada Lavrac:
Progress in Machine Learning - Proceedings of EWSL 87: 2nd European Working Session on Learning, Bled, Yugoslavia, May 1987. Sigma Press, Wilmslow 1987, ISBN 1-85058-088-X [contents] - 1984
- [j5]Ivan Bratko, Peter Tancig, S. Tancig:
Detection of Positional Patterns in Chess. J. Int. Comput. Games Assoc. 7(2): 63-73 (1984) - 1983
- [c4]Igor Mozetic, Ivan Bratko, Nada Lavrac:
An Experiment in Automatic Synthesis of Expert Knowledge Through Qualitative Modelling. Logic Programming Workshop 1983: 553-559 - 1982
- [c3]Ivan Bratko:
Symbolic Derivation of Chess Patterns. ECAI 1982: 185-189 - 1981
- [j4]Zdenek Zdráhal, Ivan Bratko, Alen Shapiro:
Recognition of Complex Patterns Using Cellular Arrays. Comput. J. 24(3): 263-270 (1981) - 1980
- [j3]Ivan Bratko, Donald Michie:
An Advice Program for a Complex Chess Programming Task. Comput. J. 23(4): 353-359 (1980)
1970 – 1979
- 1979
- [c2]Ivan Bratko:
Implementing Search Heuristics Using the AL1 Advice-Taking System. IJCAI 1979: 95-97 - 1978
- [j2]Ivan Bratko, Danny Kopec, Donald Michie:
Pattern-Based Representation of Chess End-Game Knowledge. Comput. J. 21(2): 149-153 (1978) - [j1]Ivan Bratko:
Proving Correctness of Strategies in the AL1 Assertional Language. Inf. Process. Lett. 7(5): 223-230 (1978) - [c1]Donald Michie, Ivan Bratko:
Advice Table Representations of Chess End-Game Knowledge. AISB/GI (ECAI) 1978: 194-200
Coauthor Index
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