SELECTED
PUBLICATIONS
More detailed and up-to-date
bibliography can be found at
http://cobiss.izum.si/ under
Ivan Bratko.
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,
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.
BRATKO,
Ivan, MOZETIČ, Igor,
LAVRAČ, Nada. KARDIO: A Study
in Deep and Qualitative Knowledge for Expert Systems.
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.
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 Glumsř. 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 (
VLADUŠIČ, Daniel, KOMPARE, Boris, BRATKO, Ivan. Modelling
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),
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),
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,
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,
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),
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).
JAKULIN, Aleks, BRATKO, Ivan. Testing the significance of attribute
interactions. Proc. ICML’04 (21st Int. Conf. on Machine Learning), July 4-8, 2004
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.
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).
BRATKO, Ivan, ŠUC, Dorian. Qualitative data mining and its applications. Proc. ITI’03 (25th Int. Conf. Info.
Technology Interfaces), June 16-19, 2003,
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),
BRATKO, Ivan, ŠUC, Dorian. Understanding control strategies. In: Della Riccia, Giacomo (ed.). Planning
Based on Decision Theory. Wien;
ŠUC, Dorian, VLADUŠIČ, Daniel, BRATKO, Ivan. Qualitatively faithful
quantitative prediction. Proc. IJCAI-03 (18th Int. Joint Conf. on
Artificial Intelligence),
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.
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 –
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
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).
ŠUC, Dorian, BRATKO, Ivan. Qualitative reverse engineering. Proc. ICML’2002 (19th International Conference on Machine Learning),
BANDELJ, Aleksander, BRATKO, Ivan, ŠUC, Dorian. Qualitative simulation with
CLP. Proc. QR’2002 (16th Int. Workshop on Qualitative Reasoning), June 10-12, 2002, Sitges -
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),
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;
ŠUC, Dorian, BRATKO, Ivan. Qualitative
induction. Proc. QR’2001 (15th Int.
Workshop on Qualitative Reasoning), May
17-18, 2001,
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).
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),
ZUPAN, B., PORENTA, A., VIDMAR, G., AOKI, N.,
BRATKO,
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),
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,
ŠUC, Dorian, BRATKO, Ivan. Problem
decomposition for behavioural cloning. Proc.
ECML’2000 (11th European Conference on Machine Learning),
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,
BRATKO, Ivan. Modelling operator's skill by machine learning. Proc. ITI’2000 (22nd International
conference on information technology interfaces),
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).
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. 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.
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.
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, 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, 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.