Download 202_14_SelectedPublications_sept_05

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, 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
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 International 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. 409416.
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. 812823.
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. 237247.
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 29July 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 2329, 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 functiondecomposition 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 29December 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: Knowledgebased 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, 1315 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 ComputerIntegrated 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. 281290.
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. 113126.
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. 73100. 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. 115.
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.