| 2008 |
|---|
| 94 | EE | 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 |
| 93 | EE | Martin Mozina,
Matej Guid,
Jana Krivec,
Aleksander Sadikov,
Ivan Bratko:
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning.
ECAI 2008: 234-238 |
| 92 | EE | Aleksander Sadikov,
Ivan Bratko:
LRTA.
ECAI 2008: 897-898 |
| 91 | EE | Gregor Leban,
Jure Zabkar,
Ivan Bratko:
An Experiment in Robot Discovery with ILP.
ILP 2008: 77-90 |
| 2007 |
|---|
| 90 | | Ivan Stajduhar,
Ivan Bratko:
Likelihood based classification in bayesian networks.
Artificial Intelligence and Applications 2007: 367-372 |
| 89 | EE | 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 |
| 88 | EE | Martin Mozina,
Jure Zabkar,
Ivan Bratko:
Argument based machine learning.
Artif. Intell. 171(10-15): 922-937 (2007) |
| 2006 |
|---|
| 87 | EE | Andraz Bezek,
Matjaz Gams,
Ivan Bratko:
Multi-agent strategic modeling in a robotic soccer domain.
AAMAS 2006: 457-464 |
| 86 | EE | Jure Zabkar,
Martin Mozina,
Jerneja Videcnik,
Ivan Bratko:
Argument Based Machine Learning in a Medical Domain.
COMMA 2006: 59-70 |
| 85 | EE | Matej Guid,
Ivan Bratko:
Computer Analysis of Chess Champions.
Computers and Games 2006: 1-12 |
| 84 | EE | Aleksander Sadikov,
Martin Mozina,
Matej Guid,
Jana Krivec,
Ivan Bratko:
Automated Chess Tutor.
Computers and Games 2006: 13-25 |
| 83 | EE | Aleksander Sadikov,
Ivan Bratko:
Search Versus Knowledge Revisited Again.
Computers and Games 2006: 172-180 |
| 82 | | Aleksander Sadikov,
Ivan Bratko:
Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search.
ECAI 2006: 148-152 |
| 81 | | Martin Mozina,
Jure Zabkar,
Ivan Bratko:
Argument Based Rule Learning.
ECAI 2006: 504-508 |
| 80 | EE | Martin Mozina,
Janez Demsar,
Jure Zabkar,
Ivan Bratko:
Why Is Rule Learning Optimistic and How to Correct It.
ECML 2006: 330-340 |
| 79 | EE | Ivan Bratko,
Martin Mozina,
Jure Zabkar:
Argument-Based Machine Learning.
ISMIS 2006: 11-17 |
| 78 | EE | Daniel Vladusic,
Dorian Suc,
Ivan Bratko,
W. Rulka:
Q2 Learning and Its Application to Car Modelling.
Applied Artificial Intelligence 20(8): 675-701 (2006) |
| 77 | EE | Mitja Lustrek,
Matjaz Gams,
Ivan Bratko:
Is real-valued minimax pathological?
Artif. Intell. 170(6-7): 620-642 (2006) |
| 76 | EE | Gregor Leban,
Blaz Zupan,
Gaj Vidmar,
Ivan Bratko:
VizRank: Data Visualization Guided by Machine Learning.
Data Min. Knowl. Discov. 13(2): 119-136 (2006) |
| 75 | EE | Aleksander Sadikov,
Ivan Bratko:
Learning long-term chess strategies from databases.
Machine Learning 63(3): 329-340 (2006) |
| 2005 |
|---|
| 74 | | Martin Mozina,
Jure Zabkar,
Trevor J. M. Bench-Capon,
Ivan Bratko:
Application of Argument Based Machine Learning to Law.
ICAIL 2005: 248-249 |
| 73 | EE | Mitja Lustrek,
Matjaz Gams,
Ivan Bratko:
Why Minimax Works: An Alternative Explanation.
IJCAI 2005: 212-217 |
| 72 | EE | Dorian Suc,
Ivan Bratko:
Combining Learning Constraints and Numerical Regression.
IJCAI 2005: 596-602 |
| 71 | EE | Aleks Jakulin,
Martin Mozina,
Janez Demsar,
Ivan Bratko,
Blaz Zupan:
Nomograms for visualizing support vector machines.
KDD 2005: 108-117 |
| 70 | EE | Gregor Leban,
Minca Mramor,
Ivan Bratko,
Blaz Zupan:
Simple and effective visual models for gene expression cancer diagnostics.
KDD 2005: 167-176 |
| 69 | EE | 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) |
| 68 | EE | Tomaz Curk,
Janez Demsar,
Qikai Xu,
Gregor Leban,
Uros Petrovic,
Ivan Bratko,
Gad Shaulsky,
Blaz Zupan:
Microarray data mining with visual programming.
Bioinformatics 21(3): 396-398 (2005) |
| 67 | EE | Gregor Leban,
Ivan Bratko,
Uros Petrovic,
Tomaz Curk,
Blaz Zupan:
VizRank: finding informative data projections in functional genomics by machine learning.
Bioinformatics 21(3): 413-414 (2005) |
| 66 | EE | Aleksander Sadikov,
Ivan Bratko,
Igor Kononenko:
Bias and pathology in minimax search.
Theor. Comput. Sci. 349(2): 268-281 (2005) |
| 2004 |
|---|
| 65 | EE | Dorian Suc,
Ivan Bratko,
Claude Sammut:
Learning to Fly Simple and Robust.
ECML 2004: 407-418 |
| 64 | EE | Aleks Jakulin,
Ivan Bratko:
Testing the significance of attribute interactions.
ICML 2004 |
| 63 | | Ivan Bratko,
Dorian Suc:
Learning Qualitative Models.
AI Magazine 24(4): 107-119 (2004) |
| 62 | EE | Dorian Suc,
Daniel Vladusic,
Ivan Bratko:
Qualitatively faithful quantitative prediction.
Artif. Intell. 158(2): 189-214 (2004) |
| 2003 |
|---|
| 61 | | Aleksander Sadikov,
Ivan Bratko,
Igor Kononenko:
Search versus Knowledge: An Empirical Study of Minimax on KRK.
ACG 2003: 33-44 |
| 60 | EE | Aleks Jakulin,
Ivan Bratko,
Dragica Smrke,
Janez Demsar,
Blaz Zupan:
Attribute Interactions in Medical Data Analysis.
AIME 2003: 229-238 |
| 59 | EE | Dorian Suc,
Ivan Bratko:
Improving Numerical Prediction with Qualitative Constraints.
ECML 2003: 385-396 |
| 58 | | Dorian Suc,
Daniel Vladusic,
Ivan Bratko:
Qualitatively Faithful Quantitative Prediction.
IJCAI 2003: 1052-1060 |
| 57 | EE | Aleks Jakulin,
Ivan Bratko:
Analyzing Attribute Dependencies.
PKDD 2003: 229-240 |
| 56 | EE | 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.
Artificial Intelligence in Medicine 29(1-2): 107-130 (2003) |
| 55 | | 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.
Bioinformatics 19(3): 383-389 (2003) |
| 54 | EE | Aleks Jakulin,
Ivan Bratko:
Quantifying and Visualizing Attribute Interactions
CoRR cs.AI/0308002: (2003) |
| 53 | EE | Martin Znidarsic,
Marko Bohanec,
Ivan Bratko:
Categorization of Numerical Values for DEX Hierarchical Models.
Informatica (Slovenia) 27(4): 405-409 (2003) |
| 2002 |
|---|
| 52 | | Dorian Suc,
Ivan Bratko:
Qualitative reverse engineering.
ICML 2002: 610-617 |
| 51 | EE | Ivan Bratko,
Dorian Suc:
Using Machine Learning to Understand Operator's Skill.
IEA/AIE 2002: 812-823 |
| 2001 |
|---|
| 50 | EE | Blaz Zupan,
Ivan Bratko,
Janez Demsar,
J. Robert Beck,
Adam Kuspa,
Gad Shaulsky:
Abductive Inference of Genetic Networks.
AIME 2001: 304-313 |
| 49 | EE | Dorian Suc,
Ivan Bratko:
Induction of Qualitative Trees.
ECML 2001: 442-453 |
| 48 | EE | 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 |
| 47 | EE | Blaz Zupan,
Ivan Bratko,
Marko Bohanec,
Janez Demsar:
Function Decomposition in Machine Learning.
Machine Learning and Its Applications 2001: 71-101 |
| 2000 |
|---|
| 46 | EE | Dorian Suc,
Ivan Bratko:
Problem Decomposition for Behavioural Cloning.
ECML 2000: 382-391 |
| 45 | | Blaz Zupan,
Ivan Bratko,
Marko Bohanec,
Janez Demsar:
Induction of Concept Hierarchies from Noisy Data.
ICML 2000: 1199-1206 |
| 44 | | 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.
Artificial Intelligence in Medicine 20(1): 59-75 (2000) |
| 43 | EE | Dorian Suc,
Ivan Bratko:
Qualitative Trees Applied to Bicycle Riding.
Electron. Trans. Artif. Intell. 4(B): 125-140 (2000) |
| 42 | | Dorian Suc,
Ivan Bratko:
Skill modeling through symbolic reconstruction of operator's trajectories.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(6): 617-624 (2000) |
| 1999 |
|---|
| 41 | | Ivan Bratko,
Saso Dzeroski:
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999
Morgan Kaufmann 1999 |
| 40 | EE | 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 |
| 39 | EE | Ivan Bratko:
Refining Complete Hypotheses in ILP.
ILP 1999: 44-55 |
| 38 | EE | Blaz Zupan,
Marko Bohanec,
Janez Demsar,
Ivan Bratko:
Learning by Discovering Concept Hierarchies.
Artif. Intell. 109(1-2): 211-242 (1999) |
| 37 | EE | Dorian Suc,
Ivan Bratko:
Symbolic and qualitative reconstruction of control skill.
Electron. Trans. Artif. Intell. 3(B): 1-22 (1999) |
| 1998 |
|---|
| 36 | EE | Bojan Dolsak,
Ivan Bratko,
Anton Jezernik:
Knowledge base for finite-element mesh design learned by inductive logic programming.
AI EDAM 12(2): 95-106 (1998) |
| 35 | | Blaz Zupan,
Marko Bohanec,
Janez Demsar,
Ivan Bratko:
Feature Transformation by Function Decomposition.
IEEE Intelligent Systems 13(2): 38-43 (1998) |
| 1997 |
|---|
| 34 | | Janez Demsar,
Blaz Zupan,
Marko Bohanec,
Ivan Bratko:
Constructing Intermediate Concepts by Decomposition of Real Functions.
ECML 1997: 93-107 |
| 33 | | Blaz Zupan,
Marko Bohanec,
Ivan Bratko,
Janez Demsar:
Machine Learning by Function Decomposition.
ICML 1997: 421-429 |
| 32 | | Dorian Suc,
Ivan Bratko:
Skill Reconstruction as Induction of LQ Controllers with Subgoals.
IJCAI (2) 1997: 914-919 |
| 31 | | Blaz Zupan,
Marko Bohanec,
Ivan Bratko,
Bojan Cestnik:
A Dataset Decomposition Approach to Data Mining and Machine Discovery.
KDD 1997: 299-302 |
| 30 | | Aram Karalic,
Ivan Bratko:
First Order Regression.
Machine Learning 26(2-3): 147-176 (1997) |
| 1996 |
|---|
| 29 | | Ivan Bratko,
Bojan Cestnik,
Igor Kononenko:
Attribute-Based Learning.
AI Commun. 9(1): 27-32 (1996) |
| 28 | | Matjaz Gams,
Ivan Bratko:
AI in Eastern and Central Europe.
Informatica (Slovenia) 20(2): (1996) |
| 1995 |
|---|
| 27 | | Ivan Bratko,
Tanja Urbancic:
Control Skill, Machine Learning and Hand-crafting in Controller Design.
Machine Intelligence 15 1995: 130-153 |
| 26 | | Ivan Bratko,
Stephen Muggleton:
Applications of Inductive Logic Programming.
Commun. ACM 38(11): 65-70 (1995) |
| 25 | | Ivan Bratko,
Saso Dzeroski:
Engineering Applications of ILP.
New Generation Comput. 13(3&4): 313-333 (1995) |
| 1994 |
|---|
| 24 | | Tanja Urbancic,
Ivan Bratko:
Reconstructing Human Skill with Machine Learning.
ECAI 1994: 498-502 |
| 23 | | Dunja Mladenic,
Ivan Bratko,
Ray J. Paul,
Marko Grobelnik:
Using Machine Learning Techniques to Interpret Results from Discrete Event Simulation.
ECML 1994: 399-402 |
| 22 | EE | Bojan Dolsak,
Anton Jezernik,
Ivan Bratko:
A knowledge base for finite element mesh design.
AI in Engineering 9(1): 19-27 (1994) |
| 21 | | Ivan Bratko:
Machine Learning and Qualitative Reasoning.
Machine Learning 14(1): 305-312 (1994) |
| 20 | | Marko Bohanec,
Ivan Bratko:
Trading Accuracy for Simplicity in Decision Trees.
Machine Learning 15(3): 223-250 (1994) |
| 19 | | Ivan Bratko,
Ross D. King:
Applications of Inductive Logic Programming.
SIGART Bulletin 5(1): 43-49 (1994) |
| 1993 |
|---|
| 18 | | Ivan Bratko:
Deriving qualitative control for dynamic systems.
Machine Intelligence 14 1993: 373-394 |
| 17 | EE | Ivan Bratko:
Machine learning in artificial intelligence.
AI in Engineering 8(3): 159-164 (1993) |
| 16 | | Ivan Bratko:
Applications of Machine Learning: Towards Knowledge Synthesis.
New Generation Comput. 11(3): 343-360 (1993) |
| 1992 |
|---|
| 15 | | Ivan Bratko,
Marko Grobelnik:
Inductive Learning Applied to Program Construction and Verification.
AIFIPP 1992: 169-182 |
| 14 | | Ivan Bratko:
Dynamic System Simulation with Qualitative Differential Equations.
Advanced Topics in Artificial Intelligence 1992: 431-439 |
| 13 | | Ivan Bratko:
Applications of Machine Learning: Towards Knowledge Synthesis.
FGCS 1992: 1207-1218 |
| 1991 |
|---|
| 12 | | Bojan Cestnik,
Ivan Bratko:
On Estimating Probabilities in Tree Pruning.
EWSL 1991: 138-150 |
| 11 | | Ivan Bratko,
Stephen Muggleton,
Alen Varsek:
Learning Qualitative Models of Dynamic Systems.
ML 1991: 385-388 |
| 10 | | Igor Kononenko,
Ivan Bratko:
Information-Based Evaluation Criterion for Classifier's Performance.
Machine Learning 6: 67-80 (1991) |
| 1990 |
|---|
| 9 | | Ivan Bratko:
PROLOG Programming for Artificial Intelligence, Second Edition
Addison-Wesley 1990 |
| 1988 |
|---|
| 8 | | Bojan Cestnik,
Ivan Bratko:
Learning Redundant Rules in Noisy Domains.
ECAI 1988: 348-350 |
| 1987 |
|---|
| 7 | | Bojan Cestnik,
Igor Kononenko,
Ivan Bratko:
ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users.
EWSL 1987: 31-45 |
| 1982 |
|---|
| 6 | | Ivan Bratko:
Symbolic Derivation of Chess Patterns.
ECAI 1982: 185-189 |
| 1981 |
|---|
| 5 | | Zdenek Zdráhal,
Ivan Bratko,
Alen Shapiro:
Recognition of Complex Patterns Using Cellular Arrays.
Comput. J. 24(3): 263-270 (1981) |
| 1980 |
|---|
| 4 | | Ivan Bratko,
Donald Michie:
An Advice Program for a Complex Chess Programming Task.
Comput. J. 23(4): 353-359 (1980) |
| 1978 |
|---|
| 3 | | Donald Michie,
Ivan Bratko:
Advice Table Representations of Chess End-Game Knowledge.
AISB/GI (ECAI) 1978: 194-200 |
| 2 | | Ivan Bratko,
Danny Kopec,
Donald Michie:
Pattern-Based Representation of Chess End-Game Knowledge.
Comput. J. 21(2): 149-153 (1978) |
| 1 | | Ivan Bratko:
Proving Correctness of Strategies in the AL1 Assertional Language.
Inf. Process. Lett. 7(5): 223-230 (1978) |
