Department of Intelligent Systems:
Publications

Books/Monographies

• Ivan Bratko: Prolog Programming for Artificial Intelligence, London: Addison Wesley, 1986, 2nd edition 1990, also translated to German, French, Italian, Slovene, Japanese and Russian.
• Igor Kononenko, Nada Lavrac: Prolog through Examples: A Practical Programming Guide, Wilmslow: SIGMA Press, 1988
• Bogdan Filipic: Prolog User's Handbook: A Library of Utility Programs, Chichester: Ellis Horwood, 1988, also translated to Japanese
• Ivan Bratko, Igor Mozetic, Nada Lavrac: KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems, Cambridge, MA: The MIT Press, 1989
• Nada Lavrac, Saso Dzeroski: Inductive Logic Programming: Techniques and Applications, Chichester: Ellis Horwood, 1994

Books/Edited

• Ivan Bratko, Nada Lavrac (eds.): Progress in Machine Learning, Wilmslow: SIGMA Press, 1987
• Matjaz Gams: Minds Versus Computer, (urednistvo knjige) M. Gams, M. Paprzycki, X. Wu, IOS Press, 1997

Books in Slovene

• Ivan Bratko, Bojan Cestnik: Programming language Pascal, Ljubljana, Drzavna zalozba Slovenije, 1990
• Ivan Bratko, Vladislav Rajkovic: Computer science with Pascal, Ljubljana, Drzavna zalozba Slovenije, 1984
• A. Brodnik, A. Dobrin, M. Drobnic, M. Gams, B. Mohar, M. Petkovsek, (ed.) M. Gams, D. Kodek, B. Vilfan: Computer Science Lexicon, Ljubljana, Cankarjeva zalozba, 1988; 1991
• Matjaz Gams: Good programming, Ljubljana, Cankarjeva zalozba, 1985, also translated to Croatian
• M. Gams, P. Jakopin, I. Kanic, D. Kodek, B. Mohar, B. Vilfan, (ed.) M. Gams: Computer Dictionary I, (English/Slovene) Ljubljana, Cankarjeva zalozba, 1985; 1987
• ed. M. Gams: Computer Dictionary II, Ljubljana, Cankarjeva zalozba, 1993, (English/Slovene)

Papers in scientific journals (1992-1997)

• Bohanec, M., Bratko, I.: Trading accuracy for simplicity in decision trees, Machine Learning 15, pp. 223-250, Boston: Kluwer Academic Publishers, 1994.
• Bohanec, M., Rajkovic, V., Semolic, B., Pogacnik, A.: Knowledge-based portfolio analysis for project evaluation, Information & Management 28, pp. 293-302, Elsevier, 1995.
• Bohanec, M., Urh, B., Rajkovic, V.: Evaluating options by combined qualitative and quantitative methods, Acta Psychologica 80, pp. 67-89, North-Holland, 1992
• M. Bohanec, M. Rems,S. Slavec, B. Urh: Ptah: A system for suporting nosocomial infection therapy, Intelligent data analysis in medicine and pharmacology (eds. Lavrac, N., Keravnou, E., Zupan, B.), Boston: Kluwer Academic Publishers, ISBN 0-7923-8000-2, 99-111, 1997.
• Bojadziev, D.: Goedel's theorems for minds and computers, Informatica 19/4, 1995
• Bojadziev, D.: Sloman's View of Gödel's Sentence, Artificial Intelligence 74, 1995
• Bojadziev, D.: Self-reference in arithmetical and natural language, Linguistische Arbeiten 294, 1993
• Bojadziev, D.: Remarks on self-reference in infinite (Skolem) term, Acta Analytica 8, 1992
• Bojadziev, D.: Mind versus Godel, v M. Gams, M Paprzycki and X. Wu (eds.), Mind versus Computer, IOS Press 1997, pp. 202-210.
• Bombac, A., Zun, I., Filipic, B., Zumer, M.,: Gassfilled cavity structures and local void fraction distribution in aerated stirred vessel, AIChE Journal, Vol. 43, No.11, November 1997, pp. 2921-2931.
• I. Bratko, B. Cestnik, I. Kononenko, Attribute-based learning, AI Communications, 9, 1996 pp.27-32
• Bratko, I: Machine learning and qualitative reasoning. Machine Learning Journal, Vol. 14, 305-312, 1994
• Bratko, I.: Applications of Machine Learning: Towards Knowledge Synthesis. New Generation Computing, Vol. 11, pp. 343-360, OHMSHA Ltd. and Springer-Verlag (Tokyo), 1993.
• Bratko, I.: Machine Learning in Artificial Intelligence. Artificial Intelligence in Eng. Journal, Special issue on Machine Learning in Eng., pp. 159-164, 1993.
• Bratko, I., King, R.: Applications of Inductive Logic Programming SIGART Bulletin, Special issue on Inductive Logic Programing, Vol.5, No. 1, pp. 43-56, 1994.
• Bratko, I.: Machine learning and qualitative reasoning, Machine Learning Journal, Vol. 14, 1994, 305-312.
• I. Bratko, S. Muggleton: Applications of Inductive Logic Programming. Communications of the ACM, Vol. 38, no. 11, pp. 65-70 november 1995.
• I. Bratko, S. Dzeroski Engineering applications of ILP. New Generation Computing, Vol. 13, 313-333 (1995)
• I. Bratko: Machine learning: between accuracy and interpretability. In Learning, Networks and Statistics (eds. G. Della Riccia, H.-J. Lenz, R. Kruse) CISM and Lectures no. 382, pp.163-177, Springer, 1997.
• I. Bratko, T. Urbancic: Transfer of control skill by machine learning AI in Eng. Journal, Vol. 10, 63-71 (1997).
• Cestnik, B., Susnik, J., Bizjak, B.: Computerized estimation of the compatibility of stresses and strains at work, Informatica Medica Slovenica, Vol. 3, No. 1,2,3, pp.101-108, Maribor, Slovenija, 1997.
• De Raedt, L., Dzeroski, S.: First order jk-clausal theories are PAC-learnable. Artificial Intelligence, 70: 375-392, 1994.
• L. De Raedt, N. Lavrac: Multiple predicate learning in two inductive logic programming settings, Journal of the Interest Group in Pure and Applied Logic, 4 (1996), pp.227-254
• B. Dolsak, A. Jezernik, I. Bratko: A knowledge base for finite element mesh design. Artificial Intelligence in Eng., Vol. 9 1994, pp. 19-27. Elsevier Science Ltd.
• Drobnic, M., Mozetic, M., Mozetic, T., Gams, M.: Use of Artificial Intelligence Techniques for the Description of Processes in Ni/Al Multilayers, Surface and Coatings Technology, 84, Elsevier, pp. 491-494, 1996.
• Drobnic, M., Krizman, V., Korenjak, B.: Explanation of Neural Network Classification. Informatica 16 (4): 42-47. December 1992.
• Dzeroski, S.: Learning qualitative models with inductive logic programming. Informatica, 16 (4): 30-41. December 1992.
• Dzeroski, S., Cestnik, B., Petrovski, I.: Using the m-estimate in rule induction. Journal of Computing and Information Technology CIT, Vol. 1, No. 1, pp. 37-46. University Cumputing Centre, Zagreb, Croatia.
• Dzeroski, S., Lavrac, N.: Inductive learning in deductive databases. IEEE Transactions on Knowledge and Data Engineering 5(6): 939-949 (Special issue on Learning and Discovery in Knowledge-Based Databases), December 1993.
• S. Dzeroski, N. Lavrac: Rule induction and Instance -based learning applied in medical diagnostis, Technology and Helth Care, 4 (1996), pp. 203-221.
• Dzerovski, S., Erjavec, T.: Induction of Slovene Nominal Paradigms. V (N. Lavrac, S. Dzerovski, ur.) Inductive Logic Programming, 7th International Workshop ILP-97, Proceedings, Lecture Notes in Artificial Intelligence 1297, Springer, str. 141-148, 1997.
• S. Dzerovski, J. Grbovic, W.J. Wallwey and B. Kompare: Using machine learning techniques in the construction of models. Part II: Rule induction. Ecological Modelling, 95: 95-111, 1997.
• S. Dzerovski, S. Schulze-Kremer, K. Heidtke, K. Siems, and D. Wettschereck. Diterpene structure elucidation from CNMR spectra with machine learning. In N. Lavrac, E. Keravnou and B. Zupan, editors, Intelligent Data Analysis in Medicine and Pharmacology, pages 207-225, Kluwer Academic Publishers, Dordrecht, 1997.
• Erjavec, T.: Racunalniske zbirke besedil. V Jezik in Slovstvo, str. 81-96, 42/2-3, 1996/7.
• Filipic, B.: Genetski algoritmi. Informatica 16 (4). December 1992.
• Filipic, B.: An evolutionary approach to scheduling in a large-scale production system, Electrotechnical Review, 62 (3-4): 217-223, 1995.
• Filipic, B., Sarler, B.: Optimizacija procesnih parametrov pri kontinuiranem ulivanju jekla v zelezarni ACRONI Jesenice, Kovine, zlitine, tehnologije, letnik 31, st. 5, 1997, str. 391-395.
• Gams, M., Karba, N., Drobnic, M.: Integration of Multiple Reasoning Systems for Process Control, Engineering Applications of Artificial Intelligence, 10, pp. 41-46, 1997.
• Gams, M., Hribovsek, B.: Intelligent-Personal-Agent Interface for Operating Systems, Applied Artificial Intelligence, 10, pp. 353-383, 1996.
• Gams, M., Drobnic, M., Karba, N.: Average-Case Improvements when Integrating ML and KA, Applied Intelligence, 6, pp. 87-99, 1996.
• Gams, M., Bojadziev, D., Knap, Z.: Is Intelligence Multiple?, Communication and Cognition - Artificial Intelligence, 12, pp. 285-310, 1995.
• Gams, M.: Strong vs. Weak AI, Informatica, An International Journal, 19, pp. 479-483, 1995.
• Gams, M.: Benchmarking Indicates Relevance of Multiple Knowledge, Informatica, Vol. 18, No. 4, 1994, pp. 451-465.
• Gams, M.: Real AI. Informatica, Vol. 17, No. 4, 1993, pp. 53-58.
• Gams, M., Drobnic, M., Petkovsek, M.: Learning from examples - a uniform view, International Journal of Man-Machine Studies, 34, pp. 49-68, 1991.
• Gams, M.: Is Weak AI Stronger than Strong AI? in Minds Versus Computer, IOS Press, (eds.) M.Gams, M. Paprzycki, X. Wu, pp. 30-45, 1997.
• Gams, M., Karba, N., Drobnic, M.,: Integration of Multiple Reasoning Systems for Process Control, Engineering Applications of Artificial Intelligence, 10, pp. 41-46, 1997.
• M.Gams, M. Paprzycki, X. Wu, Introduction, in Mind versus Computer, pp. ix-xi, 1997.
• Grobelnik, M., Prasnikar, V.: Learning Decision Rules in Ultimatum Games, Zbornik, Bonn Workshop 1997 - Theories of Bounded Rationality, Recent Developments, THEOBORA, Laboratorium fur experimentalle Wirtschaftsforschung, Universitat Bonn, Bonn 1997.
• M. Junkar, P. Levy, B. Filipic: Qualitative assessment of machining technologies using inuctive machine learning, Manufactoring Systems, 25 (1996), pp.219-224
• A. Karalic, I.Bratko: First Order Regression. Machine Learning Journal, Vol.26, 147-176 (1997).
• Karba, N., Gams, M., Drobnic, M.: A General Integrating Schema Applied at Iron and Steel Works, Electrotechnical Review, Special Issue on Applications of Artificial Intelligence in Control Systems, 62, pp. 206-212, 1995.
• Kietz, J.U., Dzeroski, S.: Inductive logic programming and learnability. SIGART Bulletin 5(1): 22-32 (Special issue on Inductive Logic Programming), 1994.
• Kompare, B., Bratko, I., Steinman, F., and Dzeroski, S.: Using Machine Learning Techniques in the Construction of Models, Part I: Introduction. Journal of Ecological Modelling (Elsevier) 75/76 617-628, 1994.
• Kompare, B., I., Steinman, F., Cerar, U., and Dzeroski, S.: Prediction of rainfal runoff from catchment by data analysis with machine learning tools within artificial intelligence tools. Acta Hydrotechnica, 15/17: 79-94, 1997. In Slovenian.
• Lavrac, N., Dzeroski, S., Pirnat, V., Krizman, V.: The utility of background knowledge in learning medical diagnostic rules. Applied Artificial Intelligence, 7, pp. 273-293, 1993.
• Lavrac, N., Dzeroski, S.: Weakening the language bias in LINUS. Journal on Experimental and Theoretical Artificial Intelligence 6(1), pp. 95-119. Taylor and Francis, 1994.
• N. Lavrac, S. Dzeroski: A reply to Pazzani's book review of "Inductive Logic Programming: Techniques and Applications", Machine Learning, 23 (1996), pp. 109-111
• N. Lavrac, I. Weber, D. Zupanic, D. Kazakov, O. Stepankova, S. Dzeroski: ILPNET repositories on WWW: Inductive logic programming systems, datasets and bibliography, AI Communications, 9 (1996), pp. 155-234
• N. Lavrac, E. Keravnou, B. Zupan (1997): Inteligent data analysis in medicine and pharmacology: An overview. In N. Lavrac, E. Keravnou, B. Zupan (eds.): Inteligent data analysis in medicine and pharmacology, pages 1-13, Kluwer.
• Lavrac N., Wrobel S. (1996) Induktive Logikpragrammierung: Grundlagen und Techniken. Kunstliche Intelligenz 3 (6), Themenheft Logische Programmierung, str. 46-54. Scientec Publishing.
• Lavrac, N., Gamberger, D., Dzerovski, S. (1997) Noise elimination applied in early diagnosis of rheumatical diseases. V Lavrac, N., Keravnou, E., Zupan, B., (ur.) Intelligent Data Analysis in Medicine and Pharmacology. str. 187-205. Kluwer. ISBN 0-7923-8000-2.
• Lavrac, N., Gamberger, D., Turney, P. (1997) Preprocessing by a costsensitive literal reduction algorithm: REDUCE. V Della Riccia, G., Lenz, H-J., Kruse, R., (ur.) Learning, Networks and Statistics, str. 179-196. Springer, CISM 382. ISBN 30211-82910-5.
• Mladenic, D., Solina, F.: Visualization in machine learning. Elektrotehniski vestnik (Ljubljana), vol. 59, st 5, 1992, pp. 308-313.
• Pilih, I.A., Mladenic, D., Prevec, T.S., Lavrac, N.: Data analysis of patients with severe head injury: Poglavje v knjigi Intelligent Data Analysis in Medicine and Pharmacology, (ur. Lavrac, Keravnou, Zupan), Kluwer 1997, str. 131-148.
• Stjepanovic, Z., Jezernik, A., Nikolic, M., Karalic, A.: A Knowledge-Based System for Prediction of Quality Properties of Polyester/Cotton Yarns, pp. 39-41. Fibres & Textiles in Eastern Europe, 1(1), Institute of Chemical Fibres, Lodz, Poland, 1993.
• Todorovski, L., Dzeroski, S.: Modeling dynamic systems with machine discovery. Electrotechnical Review, 61(1-2): 55-64, 1994. In Slovenian.
• Urbancic, T., Bratko, I.: Constructing Control Rules for a Dynamic System: Probabilistic Qualitative Models, Lookahead and Exaggeration. International Journal of Systems Science, Vol. 24, No. 6, pp. 1155-1164 (1993).
• T. Urbancic, I. Bratko Controlling container cranes: a case-study in reconstruction of human skill. Electrotechnical Review, Vol. 63 3-4 : 199-205 1995
• Varsek, A., Urbancic, T., Filipic, B.: Genetic algorithms in controller design and tuning. IEEE Transactions on Systems, Man and Cybernetics, Vol. 23., No. 5., pp. 1330-1339, 1993.
• Zun, I., Filipic, B., Perpar, M., Bombac, A.: Phase discrimination in void fraction measurements via genetic algorithms, Review of Scientific Instruments, 66 (10): 5055--5064, October 1995.
• B. Zupan, A. M. K. Cheng, and M. Bohanec (1995)  Static stability analysis of real-time systems: Porting crisp methods to fuzzy. Electrotechnical Review, 62(3-4): 141-256.
• B. Zupan, J. A. Halter, M. Bohanec (1997): Concept Discovery by Decision Table Decomposition and its Application in Neurophysiology, In N. Lavrac, E. Keravnou, B. Zupan (eds.): Inteligent data analysis in medicine and pharmacology, pages 261-277, Kluwer.
• D. Zupanic, M. Hodoscek, N. Lavrac, I. Mozetic: Global Energy Minimization of Small Molecules Combining Constraint Logic Programming and Molecular Mechanic. Journal of Chemical Information and Computer Sciences, JCISD8 37 (6): 966-970, 1997. American Chemical Society. ISSN 0095-2338.
• Zun, I., Perpar, M., Filipic, B., Probe measuements of local carrying gas fraction in trickle-bed reactor, Experimental Thermal and Fluid Science, Vol. 15, No.3, October 1997, pp.163-173.