Ivan Bratko, PhD
Professor

Ivan Bratko is professor of computer science at University of Ljubljana. He has B.Sc. and M.Sc. degrees in electrical engineering, and a Ph.D. degree in computer science, all from the University of Ljubljana. He is head of Artificial intelligence Laboratory, Faculty of Computer and Information Sc. of Ljubljana University. Until 2002, professor Bratko also directed the AI group at J. Stefan Institute in Ljubljana.

Professor Bratko has conducted research in machine learning, knowledge-based systems, qualitative modelling, intelligent robotics, heuristic programming and computer chess. His main interests in machine learning have been in learning from noisy data, combining learning and qualitative reasoning, constructive induction, Inductive Logic Programming and various applications of machine learning, including medicine and control of dynamic systems.

Professor Bratko has published over 200 scientific papers and a number of books, including Prolog Programming for Artificial Intelligence (Addison-Wesley/Pearson Education, third edition, 2001), KARDIO: a Study in Deep and Qualitative Knowledge for Expert Systems (MIT Press, 1989; co-authored by I. Mozetič and N. Lavrač), and Machine Learning and Data Mining: Methods and Applications (Wiley, 1998; co-edited by R.S. Michalski and M. Kubat).

He has been member of the editorial boards of a number of scientific journals, including Artificial Intelligence, Machine Learning, Journal of AI Research, Journal of ML Research, and KAIS (Journal of Knowledge and Information Systems). He was one of the founders and the first chairman of SLAIS (Slovenian AI Society) and chairman of ISSEK, International School for the Synthesis of Expert Knowledge, based in Udine, Italy. He is member of SAZU (Slovene Academy of Arts and Sciences) and a Fellow of ECCAI.

He has been visiting professor or visiting scientist at various universities, including Edinburgh University, Strathclyde University, Sydney University, University of New South Wales, Polytechnic University of Madrid, University of Klagenfurt, Delft University of Technology.


Office Hours:
Tuesday at 11 am
Courses:

Projects

Current Projects

Closed Projects


Selected publications

 Books


BRATKO, Ivan. Prolog Programming for Artificial Intelligence; Third edition. Pearson Education, Addison-Wesley, 2001. Second edition, Addison-Wesley 1990. First edition, Addison-Wesley 1986. Translations: German, Italian, French, Slovenian, Japanese, Russian.


BRATKO, Ivan, DŽEROSKI, Sašo (eds.). Machine Learning: Proceedings of 16th International Conference on Machine Learning (ICML '99), Bled, Slovenia, 1999. San Francisco: Morgan Kaufmann, 1999.

 

MICHALSKI, Ryszard S., BRATKO, Ivan , KUBAT, Miroslav (eds.). MachineLlearning and Data Mining: Methods and Applications. J. Wiley & Sons, 1998.

 

BRATKO, Ivan, CESTNIK, Bojan. Programming Language Pascal with Extensions of Turbo Pascal. Ljubljana: Državna založba Slovenije, 1990 (in Slovenian).

 

BRATKO, Ivan, MOZETIČ, Igor, LAVRAČ, Nada. KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems. Cambridge, Massachusetts: MIT Press, 1989.

 

BRATKO, Ivan , LAVRAČ, Nada (eds.). Progress in Machine Learning: Proc. of EWSL 87. Wilmslow: Sigma Press, 1987.

 

BRATKO, Ivan, RAJKOVIČ, Vladislav. Computer Science with the Pascal Language. Ljubljana, Državna Založba Slovenije, 1984 (in Slovenian).

 

 

Papers and book chapters

LEBAN, Gregor, MRAMOR, Minca, ZUPAN, Blaž, DEMŠAR, Janez, BRATKO, Ivan. Finding patterns in class-labeled data using data visualization. In: PONCELET, Pascal, TEISSEIRE, Maguelonne, MASSEGLIA, Florent (eds). Data Mining Patterns: New Methods and Applications. Hershey; New York: Information Science Reference, 2008, pp 106-123.

LEBAN, Gregor, ŽABKAR, Jure, BRATKO, Ivan. An experiment in robot discovery with ILP. Lect. Notes Computer Sc. (Proc. ILP’2008), pp. 77-90.

GUID, Matej, MOŽINA, Martin, KRIVEC, Jana, SADIKOV, Aleksander, BRATKO, Ivan. Learning positional features for annotating chess games: a case study. Lect. Notes in Computer Sc. (Proc. CG 2008), pp. 192-204.

ŽABKAR, Jure, BRATKO, Ivan, JERŠE, Gregor, PRANKL, Johann, SCHLEMMER, Matthias. Learning qualitative models from image sequences. Proc. 22nd Int. Workshop on Qualitative Reasoning, Boulder, Colorado, June 2008.

ŽABKAR, Jure, BRATKO, Ivan, MOHAN, Ashok C. Learning qualitative models by an autonomous robot. Proc. 22nd International Workshop on Qualitative Reasoning, Boulder, Colorado, June, 2008.

MOŽINA, Martin, GUID, Matej, KRIVEC, Jana, SADIKOV, Aleksander, BRATKO, Ivan. Fighting knowledge acquisition bottleneck with argument based machine learning. Proc. ECAI 2008 (Frontiers in artificial intelligence and applications, vol. 178). Amsterdam: IOS Press, 2008, pp. 234-238.

MOŽINA, Martin, ŽABKAR, Jure, BRATKO, Ivan. Argument based machine learning. Artificial Intelligence. Vol. 171, no. 10/15, pp. 922-937 (2007).

SRDOČ, Alira, BRATKO, Ivan, SLUGA, Alojzij. Machine learning applied to quality management - a study in ship repair domain. Comput. Ind., Vol. 58, pp. 464-473 (2007).

GUID, Matej, BRATKO, Ivan. Factors affecting diminishing returns for searching deeper. ICGA Journal, Vol. 30, no. 2, pp. 75-84 (2007)

VLADUŠIČ, Daniel, KOMPARE, Boris, BRATKO, Ivan. Use of qualitative constraints in modelling of the Lake Glumsø. Int. Journal Environ. Pollut., Vol. 31, no. 1/2, pp. 107-124 (2007).

SADIKOV, Aleksander, BRATKO, Ivan. Search versus knowledge revisited again. Lect. Notes Comput. Sc. (Proc. CG 2007), pp. 172-180, ilustr.

SADIKOV, Aleksander, MOŽINA, Martin, GUID, Matej, KRIVEC, Jana, BRATKO, Ivan. Automated chess tutor. Lect. Notes Computer Sc. (Proc. CG 2007), pp. 13-25.

GUID, Matej, BRATKO, Ivan. Computer analysis of chess champions. Lect. Notes Computer Sc. (Proc. CG 2007), pp. 1-12.

ŠTAJDUHAR, Ivan, BRATKO, Ivan. Likelihood based classification in Bayesian networks. Artificial Intelligence and Applications: Proc. IASTED. Innsbruck, February 2007, Innsbruck, Austria. Anaheim; Calgary; Zurich: Acta Press, 2007, pp. 335-340.

ZUPAN, Blaž, BRATKO, Ivan, DEMŠAR, Janez, JUVAN, Peter, KUSPA, Adam, HALTER, John A., SHAULSKY, Gad. Discovery of genetic networks through abduction and qualitative simulation. In: DŽEROSKI, Sašo, TODOROVSKI, Ljupčo (eds.). Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences, (Lecture notes in computer science, Lecture notes in artifical intelligence, 4660), Berlin; Heidelberg: Springer, 2007, vol. 4660, pp. 228-247.

GUID, Matej, PÉREZ, Aritz, BRATKO, Ivan. How trustworthy is CRAFTY'S analysis of chess champions? Proc. Computer and Games Workshop 2007. Amsterdam, June, 2007. pp. 15-26.

SADIKOV, Aleksander, BRATKO, Ivan. Solving 20x20 puzzles. Computer and Games Wworkshop 2007. Amsterdam, June, 2007. pp. 157-164.

ŽABKAR, Jure, BRATKO, Ivan, DEMŠAR, Janez. Learning qualitative models through partial derivatives by Padé. Proc. 21st Int. Workshop on Qualitative Reasoning. Aberystwyth, Wales June, 2007,pp. 193-202.

ŽABKAR, Jure, JERŠE, Gregor, MRAMOR KOSTA, Neža, BRATKO, Ivan. Induction of qualitative models using discrete Morse theory. Proc. 21st Int. Workshop on Qualitative Reasoning. Aberystwyth, Wales June, 2007,pp. 203-208.

ŽABKAR, Jure, SADIKOV, Aleksander, BRATKO, Ivan, DEMŠAR, Janez. Qualitatively constrained equation discovery. Proc. 21st Int. Workshop on Qualitative Reasoning. Aberystwyth, Wales June, 2007.

LUŠTREK, Mitja, GAMS, Matjaž, BRATKO, Ivan. Is real-valued minimax pathological?. Artificial Intelligence. Vol. 170, pp. 620-642 (2006).

LEBAN, Gregor, ZUPAN, Blaž, VIDMAR, Gaj, BRATKO, Ivan. VizRank : data visualization guided by machine learning. Data mining and Knowledge Discovery, Vol. 13, no. 2, pp. 119-136 (2006).

ŽABKAR, Jure, ŽABKAR, Rahela, VLADUŠIČ, Daniel, ČEMAS, Danijel, ŠUC, Dorian, BRATKO, Ivan. Q2 prediction of ozone concentrations. Ecological Modelling. Vol. 191, no. 1, pp. 68-82 (2006).

GUID, Matej, BRATKO, Ivan. Computer analysis of world chess champions. ICGA Journal, Vol. 29, no. 2, pp. 65-73, (2006).

BRATKO, Ivan, MOŽINA, Martin, ŽABKAR, Jure. Argument-based machine learning. Lect. Notes Computer Sc. (Proc. ECAI’06), pp 11-17.

MOŽINA, Martin, DEMŠAR, Janez, ŽABKAR, Jure, BRATKO, Ivan. Why is rule learning optimistic and how to correct it. Lect. Notes Computer Sc. (Proc. ECML’06), pp. 330-340.

SADIKOV, Aleksander, BRATKO, Ivan. Learning long-term chess strategies from databases. Machine Learning. Vol. 63, no. 3, pp. 329-340 (2006).

ZAVEC PAVLINIČ, Daniela, GERŠAK, Jelka, DEMŠAR, Janez, BRATKO, Ivan. Predicting seam appearance quality. Textile Research Journal. Vol. 76, 3, pp. 235-242 (2006).

ŽABKAR, Jure, MOŽINA, Martin, VIDEČNIK, Jerneja, BRATKO, Ivan. Argument based machine learning in a medical domain. In: DUNNE, Paul E., BENCH-CAPON, Trevor J. M. (eds.). Computational Models of Argument: Proc. of COMMA 2006, (Frontiers in artificial intelligence and applications, vol. 144). Amsterdam: IOS Press, 2006.

BEŽEK, Andraž, GAMS, Matjaž, BRATKO, Ivan. Multi-agent strategic modeling in a robotic soccer domain. V: STONE, Peter (ur.), WEISS, Gerhard (ur.). AAMAS'06 : Proc. Fifth Int. Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, May 8-12, 2006. New York: ACM, 2006, pp. 457-464.

VLADUŠIČ, Daniel, KOMPARE, Boris, BRATKO, Ivan. Modelling Lake Glumso with Q2 learning. Ecological Modelling, Vol. 191 (2006), no. 1, pp. 33-46.

SADIKOV, Aleksander, BRATKO, Ivan, KONONENKO, Igor. Bias and pathology in minimax search. Theoretical Computer Sc., Vol. 349 (2005), no. 2, pp. 268-281.

LUŠTREK, Mitja, GAMS, Matjaž, BRATKO, Ivan. Is real-valued minimax pathological? Artificial Intelligence , Vol. 170 (2006), pp. 620-642.

ŽABKAR, Jure, ŽABKAR, Rahela, VLADUŠIČ, Daniel, ČEMAS, Danijel, ŠUC, Dorian, BRATKO, Ivan. Q2 prediction of ozone concentrations. Ecological Modellling.  Vol. 191 (2006), no. 1, pp. 68-82.

SADIKOV, Aleksander, BRATKO, Ivan. Learning long-term chess strategies from databases. Machine Learning.  Vol. 63 (2006), no. 3, pp. 329-340.

ZAVEC PAVLINIĆ, Daniela, GERŠAK, Jelka, DEMŠAR, Janez, BRATKO, Ivan. Predicting seam appearance quality. Textyle Research Journal, Vol. 76 (2006), no 3, pp. 235-242. http://dx.doi.org/10.1177/0040517506061533.

Šuc, Dorian, Bratko, Ivan. Benefits of Qualitative Constraints in Numerical Learning. Proc. IJCAI’05 (19th Int. Joint Conf.  Artificial Intelligence), Edinburgh, Scotland, July 30 - August 5, 2005. Denver: International Joint Conferences on Artificial Intelligence, 2005.

 

CURK, Tomaž, DEMŠAR, Janez, QIKAI, Xu, LEBAN, Gregor, PETROVIČ, Uroš, BRATKO, Ivan, SHAULSKY, Gad, ZUPAN, Blaž. Microarray data mining with visual programming. Bioinformatics, Vol. 21 (2005), no. 3, pp. 396-398.

LEBAN, Gregor, BRATKO, Ivan, PETROVIČ, Uroš, CURK, Tomaž, ZUPAN, Blaž. VizRank : finding informative data projections in functional genomics by machine learning. Bioinformatics, Vol. 21, no. 3, pp. 413-414.

LUŠTREK, Mitja, GAMS, Matjaž, BRATKO, Ivan. Why minimax works : an alternative explanation. Proc. IJCAI’05 (19th Int. Joint Conf.  Artificial Intelligence), Edinburgh, Scotland, July 30 - August 5, 2005. Denver: International Joint Conferences on Artificial Intelligence, 2005, pp. 212-217. 

JAKULIN, Aleks, MOŽINA, Martin, DEMŠAR, Janez, BRATKO, Ivan, ZUPAN, Blaž. Nomograms for visualing support vector machines. Proc. KDD’2005 (11th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining) August 21-24, 2005, Chicago, Illinois, USA. New York: ACM, 2005, pp. 108-117.

LEBAN, Gregor, MRAMOR, Minca, BRATKO, Ivan, ZUPAN, Blaž. Simple and effective visual models for gene expression cancer diagnostics. Proc. KDD’2005 (11th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining) August 21-24, 2005, Chicago, Illinois, USA. New York: ACM, 2005, pp. 167-176,

SRDOČ, Alira, SLUGA, Alojzij, BRATKO, Ivan. A quality management model based on the "deep quality concept". Int. Journal Quality and Reliability Management, Vol. 22 (2005), no. 3, pp. 278-302. http://www.emeraldinsight.com/ft.

ŽABKAR, Jure, VLADUŠIČ, Daniel, ŽABKAR, Rahela, ČEMAS, Danijel, ŠUC, Dorian, BRATKO, Ivan. Using qualitative constraints in ozone prediction. Proc. QR’05 (19th Int. Workshop on Qualitative Reasoning), Graz, Austria, 18-20 May 2005. Graz: 2005, pp. 149-156.

ŠUC, Dorian, VLADUŠIČ, Daniel, BRATKO, Ivan. Qualitatively faithful quantitative prediction. Artificial Intelligence,  2004, Vol. 158, no. 2, pp. 189-214.

SADIKOV, Aleksander, BRATKO, Ivan, KONONENKO, Igor. Search versus knowledge: an empirical study of minimax on KRK. In: van den Herik, J., Iida, H., Heinz, E. A. (eds.). Advances in Computer Games: Many Games, Many Challenges (Proc. ICGA/IFIP SG16), (IFIP, 135). Boston; Dordrecht; London: Kluwer Academic Publishers, 2004, pp. 33-44.

JAKULIN, Aleks, BRATKO, Ivan. Testing the significance of attribute interactions. Proc. ICML’04 (21st Int. Conf. on Machine Learning), July 4-8, 2004 Banff, Alberta, Canada, pp. 409-416.

BRATKO, Ivan, ŠUC, Dorian. Learning qualitative models. AI Magazine, Vol. 24 (2003), no. 4, pp. 107-119.

ZUPAN, Blaž, BRATKO, Ivan, DEMŠAR, Janez, JUVAN, Peter, CURK, Tomaž, BORŠTNIK, Urban, BECK, J. Robert, HALTER, John, KUSPA, Adam, SHAULSKY, Gad. GenePath: a system for inference of genetic networks and proposal of genetic experiments. Artificial Intelligence in Medicine, Vol. 29 (2003), pp. 107-130.

ZUPAN, Blaž, DEMŠAR, Janez, BRATKO, Ivan, JUVAN, Peter, HALTER, John A., KUSPA, Adam, SHAULSKY, Gad. GenePath : a system for automated construction of genetic networks from mutant data. Bioinformatics, Vol. 19 (2003), no. 3, pp. 383-389.

BRATKO, Ivan, ŠUC, Dorian. Qualitative data mining and its applications. CIT Journal. Computing and Info. Technology, Vol. 11 (2003), no. 3, pp. 145-150.

LUŠTREK, Mitja, GAMS, Matjaž, BRATKO, Ivan. A program for playing tarok. ICGA Journal, Vol. 26 (2003), pp. 190-197.

JAKULIN, Aleks, BRATKO, Ivan. Analyzing attribute dependencies. Proc. PKDD’03 (Knowledge discovery in databases), Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, Vol. 2838. Berlin; Heidelberg; New York: Springer,  2003, pp. 229-240.

ŠUC, Dorian, BRATKO, Ivan. Improving numerical prediction with qualitative constraints. Proc. ECML’03, (European Conf. Machine Learning) (Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, Vol. 2837). Berlin; Heidelberg; New York: Springer, 2003, pp. 385-396.

BRATKO, Ivan, ŠUC, Dorian. Qualitative data mining and its applications. Proc. ITI’03 (25th Int. Conf. Info. Technology Interfaces), June 16-19, 2003, Cavtat, Croatia. University of Zagreb, SRCE, 2003, pp. 3-8 (invited talk).

JAKULIN, Aleks, BRATKO, Ivan, SMRKE, Dragica, DEMŠAR, Janez, ZUPAN, Blaž. Attribute interactions in medical data analysis. Proc. AIME’03 (9th Conference on Artificial Intelligence in Medicine in Europe), Protaras, Cyprus, October 18-22, 2003. (Lecture notes in computer science, Lecture notes in artificial intelligence, Vol. 1211). Berlin: Springer, 2003, pp. 229-238.

BRATKO, Ivan, ŠUC, Dorian. Understanding control strategies. In: Della Riccia, Giacomo (ed.). Planning Based on Decision Theory. Wien; New York: Springer,  2003, pp. 85-98.

ŠUC, Dorian, VLADUŠIČ, Daniel, BRATKO, Ivan. Qualitatively faithful quantitative prediction. Proc.  IJCAI-03 (18th Int. Joint Conf. on Artificial Intelligence), Acapulco, Mexico, August 9-15, 2003. San Francisco: Morgan Kaufmann Publishers, 2003, pp. 1052-1057.

BRATKO, Ivan. Automated modelling with qualitative representations. In: Lucas, Peter (ed.) Proc. Model-based and Qualitative Reasoning in Biomedicine (workshop at 9th European Conference on Artificial Intelligence in Medicine, AIME'03, Protaras, Cyprus, 19th October, pp. 3-8 (invited talk).

BRATKO, Ivan, ŠUC, Dorian. Qualitative data mining. Proc. New Trends in Knowledge Processing, Data Mining, Semantic Web and Computational Science : the Sixth SANKEN Int. Symposium. Osaka, Japan, March 2003, pp. 10-12 (invited talk).

ŽNIDARŠIČ, Martin, BOHANEC, Marko, BRATKO, Ivan. Categorization of numerical values for DEX hierarchical models. Informatica, Vol. 27 (2003), no. 4, pp. 405-409.

BRATKO, Ivan, ŠUC, Dorian. Qualitative explanation of controllers. Proc. QR’02 (16th Int. Workshop on Qualitative Reasoning), June 10-12, 2002, Sitges – Barcelona, Spain. Sevilla: Edición Digital, 2002, pp. 1-2 (invited paper)

PEČAR, Zdravko, RAJKOVIČ, Vladislav, BRATKO, Ivan. Obstacles to implementing TQM in public organisations. In: Caddy, Joanne , Vintar, Mirko (eds.) Building Better Quality Administration for the Public: Case Studies from Central and Eastern Europe. Bratislava: NISPAcee, 2002, pp. 71-84.

BRATKO, Ivan, ŠUC, Dorian. Using machine learning to understand operator's skill. In: Hendtlass, T., Ali, M. (eds.). Developments in Applied Artificial Intelligence, (Lecture notes in computer science, Lecture notes in artificial intelligence, 2358). Berlin: Springer, 2002, pp. 812-823.

ŠUC, Dorian, BRATKO, Ivan. Qualitative reverse engineering. Proc. ICML’2002 (19th International Conference on Machine Learning), University of New South Wales, Sydney, Australia, July 8-12, 2002. San Francisco: Morgan Kaufmann, 2002, pp. 610-617.

BANDELJ, Aleksander, BRATKO, Ivan, ŠUC, Dorian. Qualitative simulation with CLP. Proc. QR’2002 (16th Int. Workshop on Qualitative Reasoning), June 10-12, 2002, Sitges - Barcelona,  Spain. Sevilla: Edición Digital, 2002, pp. 5-9.

 STANKOVSKI, Vlado, BRATKO, Ivan, DEMŠAR, Janez, SMRKE, Dragica. Induction of hypotheses concerning hip arthroplasty : a modified methodology for medical research. Methods Info. Medicine, Vol. 40 (2001), no. 5, pp. 392-396.

ZUPAN, Blaž, BRATKO, Ivan, DEMŠAR, Janez, BECK, Robert J., KUSPA, Adam, SHAULSKY, Gad. Abductive inference of genetic networks. Proc. AIME’2001 (8th Conference on Artificial Intelligence in Medicine in Europe), Cascais, Portugal, July 1-4, 2001. (Lecture notes in computer science, Lecture notes in artificial intelligence, 2101). Berlin: Springer, 2001, pp. 304-313.

DEMŠAR, Janez, ZUPAN, Blaž, BRATKO, Ivan. Transformation of attribute space by function decomposition. In: Della Riccia, Giacomo, Lenz, H.-J., Kruse, R. (eds.). Data Fusion and Perception, (CISM Courses and Lectures, no. 431). Wien; New York: Springer, 2001, pp. 237-247.

ŠUC, Dorian, BRATKO, Ivan. Qualitative induction. Proc. QR’2001 (15th Int. Workshop on Qualitative Reasoning), May 17-18, 2001,San Antonio, Texas. Stoughton: The Printing House, 2001, pp. 13-20.

ŠUC, Dorian, BRATKO, Ivan. Induction of qualitative trees. Proc. ECML’2001 (European Conf. on Machine Learning), (Lecture notes in artificial intelligence, Lecture notes in computer science, 2167). Berlin: Springer, 2001, pp. 442-453.

JUVAN, Peter, ZUPAN, Blaž, DEMŠAR, Janez, BRATKO, Ivan, HALTER, John A., KUSPA, Adam, SHAULSKY, Gad. Web-enabled knowledge-based analysis of genetic data. Proc. ISMDA’2001 (2nd Int. Symp. Medical data analysis), Madrid, Spain, October 8-9, 2001 (Lecture notes in computer science, 2199). Berlin: Springer, 2001, pp. 113-119.

ZUPAN, B., PORENTA, A., VIDMAR, G., AOKI, N., BRATKO, I., BECK, J. R. Decisions at hand: a decision support system on handhelds. Proc. MEDINFO 2001 (10th World Congress on Medical Informatics), London, UK, 2-5 September, 2001. Amsterdam: IOS Press: Ohmsha, 2001, pp. 566-700.

DEMŠAR, Janez, ZUPAN, Blaž, BRATKO, Ivan, KUSPA, Adam, HALTER, John A., BECK, Robert J., SHAULSKY, Gad. GenePath : a computer program for genetic pathway discovery from mutant data. Proc. MEDINFO 2001 (10th World Congress on Medical Informatics), London, UK, 2-5 September, 2001. Amsterdam: IOS Press: Ohmsha, 2001, pp. 956-959.

ZUPAN, Blaž, DEMŠAR, Janez, SMRKE, Dragica, BOŽIKOV, K., STANKOVSKI, Vlado, BRATKO, Ivan, BECK, J.R. Predicting patient's long - term clinical status after hip arthroplasty using hierarchical decision modelling and data mining. Methods Info. Medicine, Vol. 40 (2001), pp. 25-31.

ZUPAN, Blaž, DEMŠAR, Janez, KATTAN, Michael W., BECK, J. Robert, BRATKO, Ivan. Machine learning for survival analysis: a case study on recurrence of prostate cancer. Articial  Intelligence in Medicine.  Vol. 20 (2000), pp. 59-75.

ŠUC, Dorian, BRATKO, Ivan. Qualitative trees applied to bicycle riding. Electron. Trans. on Artificial Intelligence, Vol. 4 (2000), Section B, pp. 125-140, http://www.ep.liu.se/ej/etai/2000/014/

ŠUC, Dorian, BRATKO, Ivan. Skill modeling through symbolic reconstruction of operator's trajectories. IEEE Trans. Syst. Man and Cybernetics, Part A, Syst. humans, Vol. 30 (2000), no. 6, pp. 617-624.

BRATKO, Ivan. Abstractions between learning problems based on abstractions between structured data. Proc. Dealing with Structured Data in Machine Learning and Statistics, ECML’2000 Workshop, Barcelona, Spain, 30 May 2000 (invited paper).

ŠUC, Dorian, BRATKO, Ivan. Problem decomposition for behavioural cloning. Proc. ECML’2000 (11th European Conference on Machine Learning), Barcelona, Catalonia, Spain, May 31 - June 2, 2000. (Lecture notes in computer science, Lecture notes in artificial intelligence, 1810). Berlin: Springer, 2000, pp. 382-391.

ZUPAN, Blaž, BRATKO, Ivan, BOHANEC, Marko, DEMŠAR, Janez. Induction of concept hierarchies from noisy data. Proc. ICML’2000 (17th Int. Conf. on Machine Learning) June 29-July 2, 2000, Stanford University. Morgan Kaufmann: San Francisco, pp. 1199-1206.

BRATKO, Ivan. Modelling operator's skill by machine learning. Proc. ITI’2000 (22nd International conference on information technology interfaces), Pula, Croatia, June 13-16, 2000. pp. 23-30 (invited paper).

ZUPAN, Blaž, BOHANEC, Marko, DEMŠAR, Janez, BRATKO, Ivan. Learning by discovery concept hierarchies. Artificial Intelligence,  Vol. 109 (1999), pp. 211-242. Also in: Paliouras, G., Karkaletsis, V., Spyropoulos, C. D. (eds.). Machine Learning and its Applications (Lecture notes in computer science, Lecture notes in artificial intelligence, 2049). Berlin: Springer, 2001, pp. 71-101.

ZUPAN, Blaž, DEMŠAR, Janez, KATTAN, Michael W., BECK, J. Robert, BRATKO, Ivan. Machine learning for survival analysis: a case study on recurrence of prostate cancer. Proc. AIMDM’99 (Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making), Aalborg, Denmark, June 20-24, 1999 (Lecture notes in computer science, Lecture notes in artificial intelligence, 1620). Berlin: Springer, 1999, pp. 346-355.

BRATKO, Ivan. Refining complete hypotheses in ILP. Proc. ILP’99 (9th Int. Workshop on Inductive logic programming), Bled, Slovenia, June 1999 (Lecture notes in computer science, Lecture notes in artificial inteligence, 1634). Berlin: Springer, 1999, pp. 44-55.

DEMŠAR, Janez, ZUPAN, Blaž, KATTAN, Michael W., BECK, J. Robert, BRATKO, Ivan. Naive Bayesian-based nomogram for prediction of prostate cancer recurrence. Proc. Medical Informatics Europe '99, (Studies in health technology and informatics, Vol. 68). Amsterdam: IOS Press; Tokyo: Ohmsha, 1999, pp. 436-441.

SMRKE, Dragica, STANKOVSKI, Vlado, BRATKO, Ivan, DEMŠAR, Janez, ARNEŽ, Zoran M. New indications for hip arthroplasty by using regression trees. Proc. SIROT (Int. Meeting of International Research Society of Orthopaedic Surgery and Traumatology, Sydney, Australia, April 16-19, 1999. London: Freund publishing house Ltd., 1999, pp. 757-761. [COBISS.SI-ID 11146713]

BRATKO, Ivan, URBANČIČ, Tanja. Control skill, machine learning and hand-crafting in controller design. In: Furukawa, K., Michie, D., Muggleton, S. Machine intelligence 15: intelligent agents. Oxford: Oxford University Press, 1999, pp. 130-153.

DŽEROSKI, Sašo, TODOROVSKI, Ljupčo, BRATKO, Ivan, KOMPARE, Boris, KRIŽMAN, Viljem. Equation discovery with ecological applicatins. In: Fielding, A. H. (ed.). Machine Learning Methods for Ecological Applications. Boston; Dordrecht; London: Kluwer Academic Publishers, 1999, pp. 185-207.

ŠUC, Dorian, BRATKO, Ivan. Modelling of control skill by qualitative constraints. Proc. QR’99 (Thirteenth International Workshop on Qualitative Reasoning), Loch Awe, Scotland, 7-9 June 1999. Aberystwyth: University of Aberystwyth, 1999, pp. 212-220.

ŠUC, Dorian, BRATKO, Ivan. Symbolic and qualitative reconstruction of control skill. Electron. Trans. on Articial Intelligence, Vol. 3 (1999), Section B, pp. 1-22,  http://www.ep.liu.se/ej/etai/1999/002/

DOLŠAK, Bojan, BRATKO, Ivan, JEZERNIK, Anton. Knowledge base for finite element mesh design learned by inductive logic programming. Artificial Intelligence in Eng. Design Anal. Manuf., Vol. 12 (1998), pp. 95-106.

STANKOVSKI, Vlado, DEBELJAK, Marko, BRATKO, Ivan, ADAMIČ, Miha. Modelling the population dynamics of red deer (Cervus elaphus L.) with regard to forest development. Ecological Modelling.  Vol. 108 (1998), nos. 1-3, pp. 145-153.

ZUPAN, Blaž, BOHANEC, Marko, DEMŠAR, Janez, BRATKO, Ivan. Feature transformation by function decomposition. In: Liu, H., Motoda, H. (eds.). Feature Extraction, Construction and Selection : a Data Mining Perspective. Boston; Dordrecht; London: Kluwer Academic Publishers, 1998, pp.325-340.

KUBAT, Miroslav, BRATKO, Ivan, MICHALSKI, Ryszard S. A review of machine learning methods. V: MICHALSKI, Ryszard S. (ur.), BRATKO, Ivan (ur.), KUBAT, Miroslav (ur.). Machine learning and data mining : methods and applications. Chichester [etc.]: J. Wiley & Sons, cop. 1998, pp. 3-69, graf. prikazi. [COBISS.SI-ID 1170516]

BRATKO, Ivan, MUGGLETON, Stephen, KARALIČ, Aram. Applications of inductive logic programming. In: Michalski, R. S., BRATKO, I., Kubat, M. (eds.). Machine Learning and Data Mining: Methods and Applications. Chichester: J. Wiley & Sons, 1998, pp. 131-143.

 DOLŠAK, Bojan, BRATKO, Ivan, JEZERNIK, Anton. Application of machine learning in finite element computation. In: Michalski, R. S., BRATKO, I., Kubat, M. (eds.). Machine Learning and Data Mining: Methods and Applications. Chichester: J. Wiley & Sons, 1998, pp. 147-171.

BRATKO, Ivan, URBANČIČ, Tanja, SAMMUT, Claude. Behavioural cloning of control skill. In: Michalski, R. S., BRATKO, I., Kubat, M. (eds.). Machine Learning and Data Mining: Methods and Applications. Chichester: J. Wiley & Sons, 1998, pp. 335-351.

KONONENKO, Igor, BRATKO, Ivan, KUKAR, Matjaž. Application of machine learning to medical diagnosis. In: Michalski, R. S., BRATKO, I., Kubat, M. (eds.). Machine Learning and Data Mining: Methods and Applications. Chichester: J. Wiley & Sons, 1998, pp. 389-408.

ZUPAN, Blaž, BOHANEC, Marko, DEMŠAR, Janez, BRATKO, Ivan. Feature transformation by function decomposition. IEEE Intelligent Syst. and Their Appl., Vol. 13 (1998), pp. 38-43.

BRATKO, Ivan, URBANČIČ, Tanja. Transfer of control skill by machine learning. Eng. Appl. Artificial Intelligence.  Vol. 10 (1997), no. 1, pp. 63-71.

KARALIČ, Aram, BRATKO, Ivan. First order regression. Machine Learning. Vol. 26 (1997), pp. 147-176.

ŠUC, Dorian, BRATKO, Ivan. Skill modelling through symbolic reconstruction of operator's trajectories. Proc. 6th IFAC Symp. Automated systems based on human skill, Kranjska Gora, Slovenia, September 17-19, 1997. Aachen: University of Technology; Ljubljana: J. Stefan Institute, 1997, pp. 35-38.

ŠUC, Dorian, BRATKO, Ivan. Skill reconstruction as induction of LQ controllers with subgoals. Proc. IJCAI-97 (15th Int. Joint Conference on Artificial Intelligence), Nagoya, Japan August 23-29, 1997. Volume 2., pp. 914-920.

JUNKAR, Mihael, BRATKO, Ivan, KRAMAR, Davorin. The selection of optimal CO2 laser cutting parameters using machine learning. Proc. LANE'97 (Laser Assisted Net Shape Engineering 2: 30th Int. CIRP Seminar on Manufacturing Systems), Erlangen, September 23-26, 1997. Bamberg: Meisenbach, 1997, pp. 203-210. [COBISS.SI-ID 2424859]

ZUPAN, Blaž, BOHANEC, Marko, BRATKO, Ivan, DEMŠAR, Janez. Machine learning by function decomposition. Proc. ICML’97 (14th Int. Conf. on Machine Learning), Nashville, Tennessee, July 8-12, 1997. San Francisco: Morgan Kaufmann, 1997, pp. 421-429.

DEMŠAR, Janez, ZUPAN, Blaž, BOHANEC, Marko, BRATKO, Ivan. Constructing intermediate concepts by decomposition of real functions), Prague, Czech Republic, April 23-25, 1997. (Lecture notes in computer science, Lecture notes in artificial intelligence, 1224). Berlin: Springer, 1997, pp. 93-107.

BOHANEC, Marko, ZUPAN, Blaž, BRATKO, Ivan, CESTNIK, Bojan. A function-decomposition method for development of hierarchical multi-attribute decision models. Proc. Fourth Conf. of Int. Society for Decision Support Systems. Lausanne, Switzerland July 21-22, 1997. pp. 503-514.

BRATKO, Ivan. Qualitative reconstruction of control skill. Proc. QR’07 (11th Int. Workshop on Qualitative Reasoning), Cortona, Italy, June 3-6, 1997. Pubblicazioni N. 1036. Pavia: Instituto di analisi numerica, 1997, pp. 41-52.

JUNKAR, Mihael, BRATKO, Ivan, KOMEL, Igor, VALENTINČIČ, Joško. Controller design for electrical discharge machining. V: MONOSTORI, László (ur.). The Second World Congress on Intelligent Manufacturing Processes & Systems, Budapest, Hungary, June 10-13, 1997 : proceedings. Berlin [etc.]: Springer, 1997, pp. 382-387. [COBISS.SI-ID 2425371]

URBANČIČ, Tanja, BRATKO, Ivan. A study in automated extraction of control rules by machine learning. Proc. 2nd World Congress on Intelligent Manufacturing Processes & Systems, Budapest, Hungary, June 10-13, 1997. Berlin: Springer, 1997, pp. 622-627.

BRATKO, Ivan. Machine learning : between accuracy and interpretability. In: Della Riccia, G., Lenz, H.-J., Kruse, R. (eds.). Learning, Networks and Statistics, (CISM Courses and lectures, no. 382). Wien; York: Springer, 1997, pp. 163-177. [COBISS.SI-ID 1171028]

BRATKO, Ivan, CESTNIK, Bojan, KONONENKO, Igor. Attribute-based learning. AI commun., 1996, Vol. 9, pp. 27-32.

BRATKO, Ivan. Experiments in reconstruction of control skill. In: Ramsay, A. M. (ed.). Artificial Intelligence: Methodology, Systems, Applications, (Frontiers in artificial intelligence and applications, Vol. 35). Amsterdam: IOS Press: Ohmsha, 1996.

JUNKAR, Mihael, BRATKO, Ivan. Some applications of machine learning in machining. Proc. Int. Coll. on Flexible Manufacturing Systems,Ljubljana, Slovenia, November 27, 1996. Ljubljana: Faculty of Mechanical Engineering, 1996, pp. 1-15.

LAVRAČ, Nada, DŽEROSKI, Sašo, BRATKO, Ivan. Handling imperfect data in inductive logic programming. In: De Raedt, L. (ed.). Advances in Inductive Logic Programming. Amsterdam: IOS Press: Ohmsha, 1996, pp. 48-64.

DŽEROSKI, Sašo, BRATKO, Ivan. Applications of inductive logic programming. In: De Raedt, L. (ed.). Advances in Inductive Logic Programming. Amsterdam: IOS Press: Ohmsha, 1996, pp. 65-81.

URBANČIČ, Tanja, BRATKO, Ivan, SAMMUT, Claude. Learning models of control skills: phenomena, results and problems. Proc. 13th World Congress International Federation of Automatic Control, San Francisco, USA, 30th June - 5th July 1996. Vol. L, Systems engineering and managements. IFAC, 1996, pp. 391-396.

BRATKO, Ivan, URBANČIČ, Tanja. Transfer of control skill by machine learning. Proc. Int. Workshop on Artificial Intelligence in Real-Time Control, Bled, Slovenia, November 29-December 1, 1995, pp. 172-181.

BRATKO, Ivan, DŽEROSKI, Sašo. New AI techniques applied to modelling. Proc. International Conference Design to Manufacture in Modern Industry, Bled, Slovenia, 29-30 May 1995, pp. 359-372.

BOHANEC, Marko, BRATKO, Ivan. Trading accuracy for simplicity in decision trees. Machine Learning.  Vol. 15 (1995), pp. 223-250.

BRATKO, Ivan, MUGGLETON, Stephen. Applications of inductive logic programming. Commun. ACM, Vol. 38 (1995), pp. 65-70.

BRATKO, Ivan. Deriving qualitative control for dynamic systems. In: Furukawa, K., MICHIE, Donald (ur.), MUGGLETON, Stephen (ur.). Applied machine intelligence, (Machine intelligence, 14). Oxford: Clarendon Press, 1995, pp. 367-385.

URBANČIČ, Tanja, BRATKO, Ivan. Controlling container cranes : A case-study in reconstruction of human skill. Elektroteh. vestn., Vol. 62 (1995), pp. 199-205.

BRATKO, Ivan, DŽEROSKI, Sašo. Engineering applications of ILP. New Generation Computing, Vol. 13 (1995), pp. 313-333.

BOHANEC, Marko, BRATKO, Ivan. Trading accuracy for simplicity in decision trees. Machine learning,Vol. 5 (1994), pp. 223-250.

URBANČIČ, Tanja, BRATKO, Ivan. Reconstructing human skill with machine learning. Proc. ECAI’94 (11th European Conf. on Artificial Intelligence), August 8-12, 1994, Amsterdam, The Netherlands. Chichester, UK: John Wiley & Sons, 1994, pp. 498-502.

DOLŠAK, Bojan, BRATKO, Ivan, JEZERNIK, Anton. Finite element mesh design: an engineering domain for ILP application. Proc. ILP’94 (4th Int. Workshop on Inductive Logic Programming), September 12-14, 1994 Bad Honnef/Bonn, Germany, (GMD-Studien, Nr. 237). Sankt Augustin: Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994, pp. 305-320.

BOHANEC, Marko, BRATKO, Ivan. Representing examples by examples. In: Della Riccia, G.,  KRUSE, R., Viertl, R. (eds.). Mathematical and Statistical Methods in Artificial Intelligence (CISM Courses and Lectures, no. 363). Wien: Springer-Verlag, 1995, pp. 221-235.

BRATKO, Ivan. Machine lerning and qualitative reasoning. Machine Learning, Vol. 14 (1994), pp. 305-312.  

BRATKO, Ivan, KING, Ross. Applications of inductive logic programming. SIGART Bull., Vol. 5 (1994), pp. 43-49.

DOLŠAK, Bojan, JEZERNIK, Anton, BRATKO, Ivan. A knowledge base for finite element mesh design. Artificial Intelligence in Eng.,  Vol. 9 (1994), pp. 19-27.

BRATKO, Ivan, MUGGLETON, Stephen, VARŠEK, Alen. Learning qualitative models of dynamic systems. In: Johnson, J (ed.) Artificial Intelligence in Mathematics. Oxford: Claredon press, 1994, pp. 67-76.

URBANČIČ, Tanja, BRATKO, Ivan. Learning to control dynamic systems. In: Michie, D., Spiegelhalter, D. J., Taylor, C. C. (eds.). Machine Learning, Neural and Statistical Classification. New York: Ellis Horwood and Wiley, 1994, pp. 246-261.

KOMPARE, Boris, BRATKO, Ivan, STEINMAN, Franci, DŽEROSKI, Sašo. Using machine learning techniques in the construction of models. Ecolological Modelling. Vol. 75/76 (1994), pp. 617-628.

BRATKO, Ivan. Machine learning in artificial intelligence. Artificial Intelligence in Eng. Vol. 8 (1993), pp. 159-164.

BRATKO, Ivan. Applications of machine learning: towards knowledge synthesis. New generation Computing, Vol. 11 (1993), pp. 343-360.

BRATKO, Ivan. Innovative design as learning from examples. Proc. DMMI’03 (Int. Conf. Design to Manufacture in Modern Industry), Bled, Slovenia, 7-9 June 1993. pp. 355-362.

BRATKO, Ivan. Qualitative reasoning about control. Proc. ETFA'93 (Design and operations of intelligent factories). Piscataway: IEEE, 1993, pp. 95-105.

MLADENIĆ, Dunja, BRATKO, Ivan, PAUL, R. J., GROBELNIK, Marko. Using machine learning techniques to interpret results from discrete event simulation. Proc. ITI’93 (15th Int. Conf. on Information Technology interfaces), Pula, Croatia, June 15-18, 1993. Zagreb: University Computing Centre, 1993, pp. 401-406.

BRATKO, Ivan, GROBELNIK, Marko. Inductive learning applied to program construction and verification. In: Cuena, J. (ed.). Knowledge Oriented Software Design (Extended papers from AIFIPP'92 - IFIP TC12 wokshop on Artificial Intelligence from the Information Processing Perspective, Madrid, Spain, 14-15 September, 1992). IFIP Transactions, A, Computer Science and Technology, A-27, Amsterdam: North-Holland, 1993, pp. 169-182. Modified version in: Proc. ILP’93 (Third Int. Workshop on Inductive Logic Programming), April 1-3, 1993, Bled Slovenija. Ljubljana: J. Stefan Institute, 1993, pp. 279-292.

BRATKO, Ivan. Qualitative modelling and learning in KARDIO. In: Buchanan, B. G., Wilkins, D. C. Readings in Knowledge Acquisition and Learning: Automating the Construction and Improvement of Expert Systems. San Mateo, CA: Morgan Kaufmann, 1993, pp. 616-625.

URBANČIČ, Tanja, BRATKO, Ivan. Constructing control rules for dynamic systems: probabilistic qualitative models, lookhead and exaggeration. Int. J. Syst. Sci., Vol. 24 (1993), no. 6, pp. 1155-1164.

BRATKO, Ivan. Machine learning and qualitative modelling in medical applications. In: Kopec, D., Thompson, R. B. (ed.). Artificial Intelligence and Intelligent Tutoring Systems: Knowledge-based Systems for Learning and Teaching. New York: E. Horwood and Wiley, 1992, pp. 25-42.

URBANČIČ, Tanja, BRATKO, Ivan. Knowledge acquisition for dynamic system control. In: Souček, B. (ed.) Dynamic, Genetic, and Chaotic Programming, (Sixth-generation computer technology series). New York: John Wiley, 1992, pp. 65-83.

CESTNIK, Bojan, BRATKO, Ivan. On estimating probabilities in tree pruning. Proc. EWSL’91 (European Working Session on Learning), Porto, Portugal, March 6-8, 1991 (Lecture notes in computer science, Lecture notes in artificial intelligence, 482). Berlin: Springer-Verlag, 1991, pp. 138-150.

FILIPIČ, Bogdan, JUNKAR, M., BRATKO, Ivan, KARALIČ, Aram. An application of machine learning to a metal-working process. Proc. ITI’91 (13th Int. Conf. on Information Technology Interfaces), Cavtat, Dubrovnik, Croatia, June 1991. Zagreb: University Computing Centre, 1991, pp. 167-172.

JUNKAR, M., FILIPIČ, Bogdan, BRATKO, Ivan. Identifying the grinding process by means of inductive machine learning. First CIRP Workshop on Learning in IMS, 6-8 March 1991, Budapest, Hungary. Budapest: Hungarian Academy of Sciences, Computer and Automation Institute, 1991, pp. 195-203.

MOZETIČ, I., BRATKO, Ivan, URBANČIČ, Tanja. Varying levels of abstraction in qualitative modelling. In:Hayes, J. E., Michie, D., Tyugu, E. K (eds.). Machine Intelligence 12: Towards an Automated Logic of Human Thought. Oxford: Clarendon Press; New York: Oxford University Press, 1991, pp. 259-280.

JUNKAR, Mihael, FILIPIČ, Bogdan, BRATKO, Ivan. Identifying the grinding process by means of inductive machine learning. Comput. Ind., Vol. 17 (1991), pp. 147-153.

 

BRATKO, Ivan, LAVRAČ, Nada, MOZETIČ, Igor. Kardio : An expert system for ECG interpretation expert systems. In: Bramer, M. A. (ed.). Practical Experience in Building Expert Systems. Chichester: J. Wiley & sons, 1990, pp. 183-207.

 

BRATKO, Ivan, KODRATOFF, V. An analytical report on EWSL-88. AI commun., Vol. 2 (1989), pp. 24-29.

BRATKO, Ivan, KONONENKO, Igor. Learning diagnostic rules from incomplete and noisy data. In: Interactions in AI and Statistics (Phelps, B., ed.) London: Gower Technical Press 1987, str. 142-153.

MICHIE, Donald, BRATKO, Ivan. Ideas on knowledge synthesis stemming from the KBBKN endgame. ICCA Journal., Vol. 10 (1987), pp. 3-13.

CESTNIK, Bojan, KONONENKO, Igor, BRATKO, Ivan. ASSISTANT 86: a knowledge elicitation tool for sophisticated users. In: Progress in Machine Learning: Proc. EWSL’87 (Second European Working Session on Learning). Bled, Slovenia, 13-15 May 1987.

BRATKO, Ivan, MICHIE, D. Some comments on rule induction. Knowledge Eng. Review, Vol. 1 (1987), pp. 65-67.

MOWFORTH, Peter, BRATKO, Ivan. AI and robotics: flexibility and integration. Robotica Journal, Vol. 5 (1987), pp 93-98.

BRATKO, Ivan. AI tools and techniques for manufacturing systems. Robotics and Computer-Integrated Manufacturing.  Vol. 3 (1987).

ROŠKAR, Egidija, ABRAMS, P., BRATKO, Ivan, KONONENKO, Igor, VARŠEK, Alen. MCUDS - an expert system for the diagnostics of lower urinary tract disorders. Biomed. meas. inform. control, Vol. 1 (1986), pp. 201-204.

NIBLETT, Tim, BRATKO, Ivan. Learning decision rules in noisy domains. Proc. of Expert Systems '86 (Sixth Annual Technical Conference of the British Computer Society Specialist Group on Expert Systems), Brighton, 15-18 December 1986. Cambridge: Cambridge University Press, 1987, pp. 25-34.

BRATKO, Ivan, MOZETIČ, Igor, LAVRAČ, Nada. Automatic synthesis and compression of cardiological knowledge. In: Hayes, J. E., Michie, D., Richards, J. Machine Intelligence 11: Lgic and the Aquisition of Kowledge. Oxford: Clarendon Press, 1988, pp. 435-454.  Also in: Michie, D., Bratko, I., Expert Systems: Automating Knowledge Acquisition. Addison-Wesley 1986, pp. 45-61.

BRATKO, Ivan, KONONENKO, Igor, LAVRAČ, Nada, MOZETIČ, Igor, ROŠKAR, Egidija. Automatic synthesis of knowledge. Automatika, Vol. 26 (1985), pp. 171-176.

KONONENKO, I, BRATKO, I., ROŠKAR, E. Inductive learning system ASSISTANT. Informatica, Vol. 9 (1985), pp. 44-55.

LAVRAČ, Nada, BRATKO, Ivan, MOZETIČ, Igor, ČERČEK, B., GRAD, A., HORVAT, M. KARDIO-E - An expert system for electrocardiographic diagnosis of cardiac arrhythmias. Expert Systems, Vol. 2 (1985), pp. 46-50.

BRATKO, Ivan. Symbolic derivation of chess patterns.. In: Campbell, J., Steels, L. (eds.) Progress in Artificial Intelligence. Ellis Horwood and Wiley, 1985, pp. 281-290.

BRATKO, Ivan, TANCIG, Peter, TANCIG, S. Detection of positional patterns in chess. In: Beal, D. F. (ed.). Advances in Computer Chess 4. Oxford; New York: Pergamon, 1986, pp. 113-126.

GAMS, Matjaž, BRATKO, Ivan. A circuit analysis program that explains its reasoning. Cybern. Syst., Vol. 2 (1984), pp. 811-816.

BRATKO, Ivan. Advice and planning in chess endgames. In: Elithorn, A., Banerji, R. (eds.) Artificial and Human Thinking. North-Holland 1984, pp. 119-130.

MOZETIČ, Igor, BRATKO, Ivan, LAVRAČ, Nada. An experiment in automatic synthesis of expert knowledge through qualitative modelling. Proc. Logic Programming Workshop 83. Albufeira, Portugal, June 1983.

BOHANEC, Marko, BRATKO, Ivan, RAJKOVIČ, Vladislav. An expert system for decision making . In: Sol, H. G. (ed.), Processes and Tools for Decision Support (IFIP Publication), North-Holland 1983.

ZWITTER, Matjaž, BRATKO, Ivan, KONONENKO, Igor. Reservations against the use of computers in medical diagnosis and prognosis. Proc. 3rd Mediterranean Conf. on Biomedical Engineering, Portoroz, Slovenia, Sept. 1983.

BRATKO, Ivan. Knowledge-based problem-solving in AL3. In: Machine Intelligence 10 (Hayes, J., Michie, D., Pao, J.H., eds.), Ellis Hoorwood and Wiley, 1982, pp. 73-100. Modified versions appeared in Computer Game Playing: Theory and Practice (ed. Bramer, M.A.) Ellis Horwood and Wiley, 1983, and in ACM SIGART Newsletter Special Issue on Game Playing, April 1982.

BRATKO, Ivan, GAMS, Matjaž. Error analysis of the minimax principle. In: Clarke, M.R.B. (ed.). Advances in Computer Chess. 3. Oxford: Pergamon Press, 1982,  pp. 1-15.

KOPEC, Danny, BRATKO, Ivan. The Bratko-Kopec experiment: a comparison of human and computer performance in chess. In: Clarke, M.R.B. (ed.) Advances in Computer Chess 3. Pergamon Press, 1982, pp. 57-72.

BRATKO, Ivan, KONONENKO, Igor, MOZETIČ, Igor. An efficient implementation of advice language 2. Informatica, Vol. 6 (1982), pp. 21-26.

BRATKO, Ivan. Streamlining problem-solving processes. In: Introductory Readings in Expert Systems (ed. Michie, D.) Gordon & Breach, 1982, pp. 177-191.

BRATKO, Ivan. Symbolic derivation of chess patterns. Proc. ECAI 82 (European Conf. on Artificial Intelligence). Paris - Orsay, July 1982, pp. 185-189.

BRATKO, Ivan. Computer chess: knowledge vs. brute force. Proc. SOFSEM 82, Byli Kriz - Beskydy, Czechoslovakia, Nov - Dec 1982.

BRATKO, Ivan, MICHIE, D. An advice program for a complex chess programming task. Computer Journal, Vol. 23 )(1981), pp. 353-359.

ZDRAHAL, Zdenek, BRATKO, Ivan, SHAPIRO, Alen. Recognition of complex patterns using cellular arrays. Computer Journal, Vol. 24 (1981), pp. 263-270.

BRATKO, Ivan, MULEC, P. An experiment in automatic learning of diagnostic rules. Informatica, 1980, št. 4, pp. 18-25.

 

BRATKO, Ivan, MICHIE, D. A representation for pattern-knowledge in chess endgames. In: Clarke, M. R. B. (ed.). Advances in Computer Chess 2. Edinburgh University Press, 1980, pp. 31-57.

BRATKO, Ivan. Implementing search heuristics using the AL1 advice-taking system. Proc.IJCAI’79 (6th Int. Joint Conf. on Artificial Intelligence), Tokyo, august 1979, pp. 95-97.

BRATKO, Ivan, NIBLETT, Tim. Conjectures and refutations in a framework for representing chess end-game knowledge. In: Expert Systems in the Microelectronic Age (ed. D. Michie) Edinburgh University Press, 1979, pp. 83-101.

BRATKO, Ivan, KOPEC, Dannny, MICHIE, Donald. Pattern-based representation of chess end-game knowledge. Computer Journal, Vol. 21 (1978) No. 2, pp. 149-153.

BRATKO, Ivan, MICHIE, Donald. Advice tables representations of chess end-game knowledge. Proc. AISB/GI Conf. on Artificial Intelligence, Hamburg, 18-20 July 1978, pp. 194-200.

BRATKO, Ivan. Proving correctness of strategies in the AL1 assertional language. Information Processing Letters, 1978, Vol. 7 (1978), pp. 223-230.

GAMS, Matjaž, BRATKO, Ivan. Computer generation of complete strategies for chess endgames. Informatica, Vol. 2 (1978), pp. 43-48.

 


Ivan Bratko

Ivan Bratko, PhD
Professor

T: +386 1 4768 393