Bibliography

BIBLIOGRAPHY

A: Journal articles and book chapters
B: Conference papers
C: Monographs
Č: Membership in editorial boards and program-committees
D: Unpublished articles and technical reports:
E: Invited lectures and papers
F: Other lectures
G: Reviewing
I: Magazine and newspaper articles

A: Journal articles and book chapters

A1. I.Bratko, I.Kononenko, I.Mozetič: An Efficient Implementation of Advice Language 2, Informatica 2/82, 1982
A2. E.Roškar, I.Bratko, I.Kononenko, M.Čuk, P.Abrams: An Application of computer assisted multivariate statistical methods and artificial intelligence to the diagnosis of lower urinary tract disorders, Automatika let.26, št. 3-4, Zagreb, maj-august 1985 (pp.177-181)
A3. I.Bratko, I.Kononenko, N.Lavrač, I.Mozetič, E.Roškar, Automatic synthesis of knowledge, Automatica let.26, št. 3-4, Zagreb, maj-august 1985 (pp.171-175)
A4. Strukturno avtomatsko učenje, Informatica, let.9, št.3, 1985
A5. I. Kononenko, I. Bratko, E. Roškar (1986) Sistem za induktivno učenje Asistent, Informatica letnik 10, št.1, 1986
A6. I.Bratko, I.Kononenko (1986) Learning Diagnostic Rules from Incomplete and Noisy Data, AI Methods in statistics, 16-17 dec. 1986, London (18 pages) (poglavje v knjigi: B. Phelps (ed.) (1987) 'Interactions in Artificial Intelligence and Statistical Methods', Technical Press)
A7. B.Cestnik, I.Kononenko, I.Bratko: ASSISTANT 86: A knowledge elicitation tool for sophisticated users, poglavje v knjigi: I.Bratko, N.Lavrač (eds.): 'Progress in machine learning', Sigma Press, 1987 (18 pages) (also EWSL, Bled, maj 1987)
A8. I.Kononenko, N.Lavrač (1988) Terminologija programiranja v prologu - Terminology of Prolog Programming, Informatica, letnik 12, št.1, 1988
A9. E.Roškar, P.Abrams, I.Bratko, I.Kononenko, A.Varšek (1986) MCUDS - An expert system for the diagnostics of lower urinary tract disorders, Journal of Biomedical Measurements, Informatics and Control, Vol. 1, No. 4, pp. 201 - 204
A10. Nevronske mreže, Informatica, letnik 13, št. 2, pp. 56-71, 1989
A11. I. Kononenko & I. Bratko (1991) Information based evaluation criterion for classifier's performance, Machine Learning Journal, Vol.6, pp.67-80 - TXT.
A12. Bayesian Neural Networks, Biological Cybernetics Journal Vol. 61, pp. 361-370, 1989
A13. I.Bratko & I.Kononenko (1989) Automating Knowledge Acquisition for Expert Systems, Elektrotehniški vestnik,
Vol.56,Št.2-4, pp.225-232.
A14. I.Bratko, I.Kononenko, N.Lavrač, I.Mozetič, E.Roškar (1989) Automatic synthesis of knowledge: Ljubljana research. In Y.Kodratoff & A.Hutchinson (eds.) Machine learning and human learning, Chichester: England: Michael Horwood Limited
A15. Bayesian neural network based expert system shell, International Journal of Neural Networks, Vo. 2, No. 1, March
1991, pp.43-47.
A16. Probability versus correlation in neural networks, International Journal of Neural Networks, Vol. 3, No.2-3, 1992
A17. Naivni in nenaivni Bayesov klasifikator, Elektrotehniški vestnik, Vol.57, No.5, pp.326-330, dec. 1990.
A18. Bayesove umetne nevronske mreže, Informatica, Vol.14, no.3, 1990, pp.72-86.
A19. Comparison of inductive and naive Bayesian learning approaches to automatic knowledge acquisition, Poglavje v knjigi: B.Wielinga, J.Boose, B.Gaines, G.Schreiber, M. van Someren (eds.) Current Trends in Knowledge Acquisition, IOS Press, Amsterdam, 1990. - PS
A20. Delno naivni Bayesov klasifikator, Elektrotehniški vestnik, Vol.58, No. 2, 1991, pp.83-87.
A21. Zvezne Bayesove nevronske mreže, Informatica, Vol.15, No.2., 1991, pp.49-53.
A22. Inductive and Bayesian learning in medical diagnosis, Applied Artificial Intelligence, Vol. 7, pp. 317-337, 1993.- PS
A23. Naive Bayesian classifier and continuous attributes, Informatica, Vol.16, No.1, 1992, pp.1-8. - PS
A24. Combining decisions of multiple rules, In: Edited by V. Sgurev and B du Boulay, Artificial Intelligence: Methodology, Systems, Applications. Elsevier Science Publishers, 1992 - PS.
A25. Successive naive Bayesian classifier, Informatica, Vol.17.No.2, pp.167-174, 1993. - PS
A26. On Bayesian neural networks, Invited paper, Informatica, Vol. 18. No.2, pp.183-195, 1994. - PS - 0.6MB
A27. I.Kononenko, S.Zorc (1994) A critical analysis of rough sets approach to machine learning, Informatica, 18:305-313
A28. I.Bratko, B.Cestnik, I.Kononenko (1995) Attribute-based learning. Position paper, ML-Net Newsletter
A29. I.Kononenko, E.Šimec, M.Robnik (1997) Overcoming the myopia of inductive learning algorithms, Applied Intelligence, 7:39-55 - PS
A30. M.Kukar, I.Kononenko, T.Silvester (1996) Machine learning in prognostics of the femoral neck fracture recovery, Artificial intelligence in medicine, 8:431-451
A31. B.Bešič, M.Kukar, M.Auersperg, M. Us-Krašovec, I.Kononenko (1997) Prediction of survivial in patients with anaplastic thyroid carcinoma by machine learning algorithms. Journal of Surgical Oncology (to appear)
A32. On Facts Versus Misconceptions about Rough Sets, Informatica, 20(4):465-468
A33. I.Bratko, B.Cestnik, I.Kononenko (1996) Attribute-based learning. Position paper, AI Communications 9(1):27-31 - PDF
A34. Kononenko I., & Hong S.J. (1997) Attribute selection for modelling, Future Generation Computer Systems (in press). - PS
A35. Kukar M., Bešič N., Kononenko I., Aursperg M., Robnik-Šikonja M. (1997) Prognosing the survival time of the patients with the anaplastic thyroid carcinoma with machine learning, In: N.Lavrač et al. (eds): Intelligent Data Analysis in Medicine and Pharmacology, Kluwer Academic Pub.
A36 B.Šter, M.Kukar, A.Dobnikar, I.Kranjec, I.Kononenko (1997) Experiments with machine learning in the prediction of coronary artery disease progression, In: N.Lavrač et al. (eds): Intelligent Data Analysis in Medicine and Pharmacology, Kluwer Academic Pub.
A37. I.Kononenko, I.Bratko, M.Kukar (1997) Application of machine learning to medical diagnosis. In R.S.Michalski, I.Bratko, and M.Kubat (eds.): Machine Learning, Data Mining and Knowledge Discovery: Methods and Applications, John Wiley & Sons.
A38. I.Kononenko, I.Bratko, M.Kukar (1998) Application of machine learning to medical diagnosis. In R.S.Michalski, I.Bratko, and M.Kubat (eds.): Machine Learning, Data Mining and Knowledge Discovery: Methods and Applications, John Wiley \& Sons. - PS
A39. P. Peer, B.Cargo, I.Kononenko (1997) Raz\v siritev algoritma ReliefF, Elektrotehni\v ski vestnik 64(5):1-7.
A40. I.Zelic, I.Kononenko, N.Lavrac, V.Vuga (1997) Induction of decision trees and Bayesian classification applied to diagnosis of sport injuries, Journal of Medical Systems, 21(6):429-444
A41. S.Zorc, D.Noe, I.Kononenko (1998) Efficient derivation of the optimal assembly sequence from product description, Cybernetics and Systems: An International Journal, 29(2):159-179.
A42. C.Groselj, M.Kukar, J.Fettich, and I.Kononenko (1997) Machine learning improves the accuracy of coronary artery disease diagnostic methods. Computers in Cardiology, 24:57-60.
A43. I.Kononenko, T.Zrimec (1998) The use of Kirlian devices for medical diagnosis and treatement, Informatica Medica Slovenica, 5(1,2):71-76.
A44. N.Lavrac, I.Kononenko, E.Keravnou, M.Kukar, B.Zupan (1998) Intelligent data analysis for medical diagnosis: using machine learning and temporal abstraction, AI Communications, 11:191-218.
A45. M.Kukar, I.Kononenko, C.Groselj, K.Kralj, J.Fettich (1999) Analysing and improving the diagnosis of ischaemic heart disease with machine learning, Artificial Intelligence in Medicine, 16:25-50.
A46. T Zrimec, I.Kononenko (1999) Feasibility analysis of machine learning in medical diagnosis from aura images, Consciousness and Physical Reality - ISSN 1027-4359, 4(4):66-72.
A47. I.Kononenko: Personal experience in healing with bioenergy, Consciousness and Physical Reality - ISSN 1027-4359, 4(5):64-68, 1999.
A48. C. Grošelj, M.Kukar, J. Fettich, I.Kononenko (1997) Artificial intelligence improves the accuracy of coronary artery disease diagostic methods. Eur. j. nucl. med. - ISSN 0340-6997, 1997, 24(8)888.
A49. C. Grošelj, M.Kukar, J. Fettich, I.Kononenko (1997) Machine learning in the diagnosis of ischaemic heart disease. J. nucl. cardiol. - ISSN 1071-3581, January/February 1997, 4(1)S5.
A50. D.Skočaj, I. Kononenko, I. Tomažić, Z.Korošec-Koruza (2000) Classification of grapevine cultivars using Kirlian camera and machine learning Res. Rep. Biot. fac. UL - Agriculture - ISSN 1408-340X, 75(1)133-138 - DOC.
A51. I.Kononenko: Machine learning for medical diagnosis: History, state of the art and perspective, Invited paper, Artificial Intelligence in Medicine - ISSN 0933-3657, 2001, vol. 23, no. 1, pp. 89-109 - PDF
A52 D.Cukjati, M.Robnik-Šikonja, S.Reberšek, I.Kononenko, D.Miklavčič (2001) Prognostic factors, prediction of chronic wound healing and electrical stimulation. Medical & Biological Engineering & Computing, 39, 542-550, JCR IF: 1.172 - PDF
A53. ROBNIK ŠIKONJA, Marko, CUKJATI, David, KONONENKO, Igor. Comprehensible evaluation of prognostic factors and prediction of wound healing. Artif. intell. med.. [Print ed.], 2003, vol. 29, pp. 25-38, JCR IF (2002): 0.891; SE, x: 0.853 (27/74), computer science, artificial intelligence, x: 1.297 (27/40), engineering, biomedical, x: 0.911 (11/20), medical informatics
A54. Igor Kononenko, Matjaž Bevk, Aleksander Sadikov, Luka Šajn: Classification of different types of coronas using parametrization of images and machine learning, In: KOROTKOV, Konstantin (ur.). Measuring energy fields : state of the science, (GDV bioelectrography series, vol. 1). Fair Lawn: Backbone, cop. 2004, pp. 193-208 - DOC
A55. Aleksander Sadikov, Igor Kononenko, Franco Weibel: Analyzing Coronas of Fruits and Leaves In: KOROTKOV, Konstantin (ur.). Measuring energy fields : state of the science, (GDV bioelectrography series, vol. 1). Fair Lawn: Backbone, cop. 2004, pp. 143-154. - DOC
A56. ROBNIK ŠIKONJA, Marko, KONONENKO, Igor. Theoretical and empirical analysis of ReliefF and RReliefF. Machine Learning. [Print ed.], 2003, vol. 53, str. 23-69, JCR IF (2002): 1.944; SE, x: 0.853 (7/74), computer science, artificial intelligence - PDF - 0.5MB
A57. M. Bevk, I.Kononenko (2006) Towards symbolic mining of images with association rules: Preliminary results on textures. Intelligent Data Analysis vol. 10, no. 4, p. 379-393 - PDF
A58. A. Sadikov, I.Bratko, I.Kononenko (2005) Bias and pathology in minimax search. Theoretical Computer Science, SCI IF 0.764 vol. 349, no. 2, p. 268-281- PDF.
A59. L.Šajn,M.Kukar, I.Kononenko, M.Milcinski (2005) Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. Computer programs and methods in Biomedicine, vol. 80, no. 1, p. 47-55- PDF.
A60. ŠAJN, Luka, KONONENKO, Igor, MILČINSKI, Metka. Computerized segmentation and diagnostics of whole-body bone scintigrams. Comput. med. imaging graph., 2007, vol. 31, no. 7, p. 531-541

· A61. ROBNIK ŠIKONJA, Marko, KONONENKO, Igor. Reliable feature evaluation in classification and regression. V: LIU, John X. (ur.). Control and learning in robotic systems. New York: Nova Science Publishers, cop. 2005, p. 281-319
A62. BOSNIĆ, Zoran, KONONENKO, Igor. Estimation of individual prediction reliability using the local sensitivity analysis. Appl. intell. (Boston), Dec. 2008, vol. 29, no. 3, p. 187-203.

· A63. BOSNIĆ, Zoran, KONONENKO, Igor. Comparison of approaches for estimating reliability of individual regression predictions. Data knowl. eng.. [Print ed.], Dec. 2008, vol. 67, no. 3, str. 504-516.

· A64. ŠAJN, Luka, KONONENKO, Igor. Multiresolution image parametrization for improving texture classification. EURASIP J. Adv. Signal Process. (Print). [Print ed.], 2008, vol. 2008, no. [1], p. 1-12,

· A65. ROBNIK ŠIKONJA, Marko, KONONENKO, Igor. Explaining classifications for individual instances. IEEE trans. knowl. data eng. (Print). [Print ed.], May 2008, vol. 20, no. 5, p. 589-600.

· A66. BOSNIĆ, Zoran, KONONENKO, Igor. Estimation of regressor reliability. J. intell. syst., 2008, vol. 17, no. 1/3, p. 297-311.

· A67. ŠTRUMBELJ, Erik, KONONENKO, Igor. Towards a model independent method for explaining classification for individual instances. Lect. notes comput. sci., p. 273-282.

· A68. BOSNIĆ, Zoran, KONONENKO, Igor. Empirical analysis of reliability estimates for individual regression predictions. Lect. notes comput. sci., p. 379-388.

· A69. BOSNIĆ, Zoran, KONONENKO, Igor. An overview of advances in reliability estimation of individual predictions in machine learning. Intelligent data analysis. [Print ed.], 2009, vol. 13, no. 2, p. 385-401

· A70. KONONENKO, Igor, ROBNIK ŠIKONJA, Marko. Non-myopic feature quality evaluation with (R)ReliefF. V: LIU, Huan (ur.), MOTODA, Hiroshi (ur.). Computational methods of feature selection, (Chapman & Hall/CRC data mining and knowledge discovery series). Boca Raton; London; New York: Chapman & Hall/CRC, cop. 2008, p. 169-191.

· A71. ŠAJN, Luka, KONONENKO, Igor. Image segmentation and parameterization for automatic diagnostics of whole-body scintigrams : basic concepts. V: SCHAEFER, Gerald (ur.), HASSANIEN, Aboul Ella (ur.), JIANG, J. (ur.). Computational intelligence in medical imaging : techniques and applications. Boca Raton; London; New York: CRC Press; Taylor & Francis Group, cop. 2009, str. 347-377.

A72. I.Kononenko (2009) Natural and Machine Learning, Intelligence and Consciousness, In: E.Žerovnik et al. (eds.) Philosophical Insights about Modern Science, NY: Nova Science publ., p. 239-258.

· A73. ŠTRUMBELJ, Erik, KONONENKO, Igor, ROBNIK ŠIKONJA, Marko. Explaining instance classifications with interactions of subsets of feature values. Data knowl. eng.. Oct. 2009, vol. 68, no. 10, str. 886-904,

· A74. KONONENKO, Igor, BEVK, Matjaž. Extended symbolic mining of textures with association rules. Informatica (Ljublj.), 2009, vol. 33, no. 4, str. 487-497,

· A75. BOSNIĆ, Zoran, KONONENKO, Igor. Influence of domain and model properties on the reliability estimates' performance. International journal of data warehousing and mining, 2009, vol. 5, no. 4, str. 58-76,

· A76. KONONENKO, Igor, ŠTRUMBELJ, Erik, BOSNIĆ, Zoran, PEVEC, Darko, KUKAR, Matjaž, ROBNIK ŠIKONJA, Marko. Explanation and reliability of individual predictions. Informatica, ISSN 0350-5596, 2013, vol. 37, no. 1, str. 41-48.

· A77. ŠTRUMBELJ, Erik, KONONENKO, Igor. An efficient explanation of individual classifications using game theory. J. mach. learn. res.., Jan. 2010, vol. 11, no. [1], str. 1-18,. http://jmlr.csail.mit.edu/papers/volume11/strumbelj10a//strumbelj10a.pdf.

· A78. ŠTRUMBELJ, Erik, BOSNIĆ, Zoran, KONONENKO, Igor, ZAKOTNIK, Branko, GRAŠIČ-KUHAR, Cvetka. Explanation and reliability of prediction models : the case of breast cancer recurrence. Knowledge and information systems, 2010, vol. 24, no. 2, str. 305-324, graf. prikazi. http://www.springerlink.com/content/g6314m018764807v/fulltext.pdf.

· A79. BOSNIĆ, Zoran, KONONENKO, Igor. Automatic selection of reliability estimates for individual regression predictions. Knowl. eng. rev., 2010, vol. 25, no. 1, str. 27-47, graf. prikazi. http://journals.cambridge.org/action/displayFulltext?type=1&pdftype=1&fid=7415660&jid=KER&volumeId=25&issueId=01&aid=7415652.

A80. BOSNIĆ, Zoran, KONONENKO, Igor. Reliability estimation of individual predictions in supervised learning. V: HAYWORTH, Gregory I. (ur.). Reliability engineering advances. New York: Nova Science Publishers, cop. 2009, str. 107-140

· A81. KOŠIR, Domen, KONONENKO, Igor, BOSNIĆ, Zoran. Web user profiles with time-decay and prototyping. Applied intelligence, ISSN 0924-669X. [Print ed.], Dec. 2014, vol. 41, no. 4, str. 1081-1096

· A82. BOSNIĆ, Zoran, DEMŠAR, Jaka, KEŠPRET, Grega, RODRIGUES, Pedro Pereira, GAMA, João, KONONENKO, Igor. Enhancing data stream predictions with reliability estimators and explanation. Engineering applications of artificial intelligence, ISSN 0952-1976. [Print ed.], 2014, vol. 34, str. 178-192

· A83. PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Dynamic fuzzy paths and cycles in multi-level directed graphs. Engineering applications of artificial intelligence, ISSN 0952-1976. [Print ed.], 2014, vol. 37, str. 194-206.

· A84. PEVEC, Darko, KONONENKO, Igor. Input dependent prediction intervals for supervised regression. Intelligent data analysis, ISSN 1088-467X. [Print ed.], 2014, vol. 18, no. 5, str. 873-887.

· A85. PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Multi-level association rules and directed graphs for spatial data analysis. Expert systems with applications, ISSN 0957-4174. [Print ed.], 2013, vol. 40, issue 12, str. 4957-4970

· A86. CANHASI, Ercan, KONONENKO, Igor. Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization. Expert systems with applications, ISSN 0957-4174. [Print ed.], Feb. 2014, vol. 41, no. 2, str. 535-543.

· A87. ROBNIK ŠIKONJA, Marko, ŠTRUMBELJ, Erik, KONONENKO, Igor. Efficiently explaining the predictions of a probabilistic radial basis function classification network. Intelligent data analysis, ISSN 1088-467X. [Print ed.], 2013, vol. 17, no. 5, str. 791-802

· A88. ŠTRUMBELJ, Erik, KONONENKO, Igor. Explaining prediction models and individual predictions with feature contributions. Knowledge and information systems, 2013, str. [1-19].

· A89. CANHASI, Ercan, KONONENKO, Igor. Multi-document summarization via Archetypal Analysis of the content-graph joint model. Knowledge and information systems, 2013, str. [1-22].

· A90. BOSNIĆ, Zoran, VRAČAR, Petar, RADOVIĆ, Miloš D., DEVEDŽIĆ, Goran, FILIPOVIĆ, Nenad D., KONONENKO, Igor. Mining data from hemodynamic simulations for generating prediction and explanation models. IEEE transactions on information technology in biomedicine, ISSN 1089-7771. [Print ed.], Mar. 2012, vol. 16, no. 2, str. 248-254,

· A91. ROBNIK ŠIKONJA, Marko, KONONENKO, Igor, ŠTRUMBELJ, Erik. Quality of classification explanations with PRBF. Neurocomputing, ISSN 0925-2312. [Print ed.], Nov. 2012, vol. 96, str. 37-46

· A92. KUKAR, Matjaž, KONONENKO, Igor, GROŠELJ, Ciril. Modern parameterization and explanation techniques in diagnostic decision support system : a case study in diagnostics of coronary artery disease. Artificial intelligence in medicine, ISSN 0933-3657. [Print ed.], Jun. 2011, vol. 52, no. 2, str. 77-90

· A93. BOSNIĆ, Zoran, KONONENKO, Igor. Correction of regression predictions using the secondary learner on the sensitivity analysis outputs. Computing and informatics, ISSN 1335-9150, 2010, vol. 29, no. 6, str. 929-946,

· A94. PEVEC, Darko (avtor, član uredniškega odbora), BOSNIĆ, Zoran, KONONENKO, Igor. Individual prediction reliability estimates in classification and regression. V: MAGDALENA-BENEDITO, Rafael (ur.), et al. Intelligent data analysis for real-life applications : theory and practice. Hershey (PA): Information Science Reference: IGI Global, cop. 2012, str. 35-56, graf

· A95. PREGELJC, Marko, ŠTRUMBELJ, Erik, MIHELČIČ, Miran, KONONENKO, Igor. Learning and explaining the impact of enterprises' organizational quality on their economic results. V: MAGDALENA-BENEDITO, Rafael (ur.), et al. Intelligent data analysis for real-life applications : theory and practice. Hershey (PA): Information Science Reference: IGI Global, cop. 2012, str. 228-248,

· A96. KUKAR, Matjaž, KONONENKO, Igor, GROŠELJ, Ciril. Automated diagnostics of coronary artery disease : long-term results and recent advancements. V: MAGDALENA-BENEDITO, Rafael (ur.), et al. Medical applications of intelligent data analysis : research advancements. Hershey: Information Science Reference: IGI Global, cop. 2012, str. 91-112

· A97. KOŠIR, Domen, BOSNIĆ, Zoran, KONONENKO, Igor. The use of prediction reliability estimates on imbalanced datasets : a case study of wall shear stress in the human carotid artery bifurcation. V: MAGDALENA-BENEDITO, Rafael (ur.), et al. Medical applications of intelligent data analysis : research advancements. Hershey: Information Science Reference: IGI Global, cop. 2012, str. 113-124

· A98. RODRIGUES, Pedro Pereira, BOSNIĆ, Zoran, GAMA, João, KONONENKO, Igor. Estimating reliability for assessing and correcting individual streaming predictions. V: DAI, Honghua (ur.), LIU, James N. K. (ur.), SMIRNOV, Evgueni (ur.). Reliable knowledge discovery. New York [etc.]: Springer, cop. 2012, str. 29-49,

· A99. BOSNIĆ, Zoran, KONONENKO, Igor. Reliability estimates for regression predictions : performance analysis. V: TANIAR, David (ur.), CHEN, Li (ur.). Integrations of data warehousing, data mining and database technologies : innovative approaches. Hershey (PA): Information Science Reference, cop. 2011, str. 320-338

B: Conference papers

B1. I.Kononenko, I.Bratko, M.Zwitter: Eksperimenti z avtomatskim učenjem medicinskih diagnostičnih pravil, referat v Zborniku del VII. BIH simpozijuma iz informatike Jahorina , april 1983 (izšlo tudi v: I.Bratko (urednik): Sistemi in tehnike umetne inteligence, Fakulteta za elektrotehniko, Ljubljana 1983)
B2. M.Zwitter, I.Bratko, I.Kononenko: Rational and Irrational Reservations Against the Use of Computer in Medical Diagnosis and Prognosis, referat na 3. Mediterranean conf. on medical and biological engineering, Portorož, 5.-9. sept. 1983
B3. T.Zrimec, B.Čerček, P.Rode, N.Lavrač, I.Mozetič, I.Bratko, I.Kononenko, A.Grad: An Expert Consultation System for Cardiac Arrhythmias, referat na 3. Mediterranean conf. on medical and biological engineering, Portorož, 5.-9. sept. 1983
B4. I.Kononenko, I.Bratko, M.Zwitter: Poskusi z ASISTENT-om v medicinski diagnostiki in prognostiki, referat v Zborniku del VIII. BIH simpozijuma iz informatike Jahorina , april 1984
B5. I.Kononenko, I.Bratko, E.Roškar: Experiments in automatic learning of medical diagnostic rules, ISSEK workshop, Bled,
august 1984 (16 pages)
B6. E.Roškar, I.Kononenko, P.Abrams, M.Torrens: Computer assisted derivation of urodynamic diagnostic expertise for lower urinary tract disorders, referat na ICS, Innsbruck 1984 (3 pages)
B7. I.Bratko, I.Kononenko, N.Lavrač, I.Mozetič, E.Roškar: The synthesis and transformation of knowledge, zbornik del simpozija Computer at the University, Cavtat, May 1985
B8. Roškar, E., Kononenko, I., Bratko, I., Varšek, A. Abrams,P., Lewis, P.: Ekspertni sistem za diagnostiko spodnjega urotrakta, ETAN, junij 1986 (8 pages, delež 30%)
B9. I.Bratko, I.Kononenko, N.Lavrač, I.Mozetič, E.Roškar: Automatic synthesis of knowledge: Ljubljana research, EWSL, Paris, 3-4 Februar 1986 (9 pages)
B10. Lavrač, N., Varšek, A., Gams, M., Kononenko. I., Bratko, I.: Automatic Construction of the Knowledge Base for a Steel Classification Expert System. The 6th Int. Workshop on Expert Systems and Their Applications, Avignon, april 1986 (14 pages)
B11. Lavrač, N., Mozetič, I., Kononenko, I.: An Experimental Comparison of Two Learning Programs in Three Medical Domains, International School for the Synthesis of Expert's Knowledge, Bled, August 1986 (25 pages)
B12. I.Mozetič, N.Lavrač, I.Kononenko: Automatic construction of diagnostic rules, IV. Med. Conf. on medical and biological eng., Sevilla, Spain, 9-12 sept. 1986 (4 pages)
B13. I.Bratko, I.Kononenko, N.Lavrač, I.Mozetič, E.Roškar: Automatic synthesis of knowledge bases in KARDIO and ASSISTANT, invited paper at Expert Systems Technology Congress, Berlin, 27. nov. 1986 (17 pages)
B14. I.Bratko, I.Kononenko, N.Lavrač, I.Mozetič, E.Roškar (1986) Research into Computer Synthesis of Knowledge. Advance papers of information technologies for development Conference, Bled
B15. S.Hojker, I.Kononenko, A.Karalič (1986) Poskusi z avtomatskim učenjem diagnostičnih pravil za diagnosticiranje obolenj ščitnice, Zbornik del mednarodnega simpozija CAD/CAM, Zagreb, pp.611-616
B16. Roškar, E., Abrams,P., Bratko, I., Kononenko, I., Varšek, A. (l987) MCUDS - An Expert System for the Diagnostics of Lower Urinary tract. Meeting of British Medical Info. Society, 17-18 March, London, 1987 (6 pages)
B17. I.Kononenko, I.Bratko: Ocenjevanje uspešnosti sistemov za induktivno učenje, ETAN, Bled, junij 1987, pp.XII/151-158.
B18. I.Kononenko, A.Jauk, S.Hojker (1988) Izbira dobrih pravil in strukturiranje domene pri avtomatskem učenju na osnovi primerov, ETAN, Sarajevo, junij 1988 (8 pages)
B19. I.Kononenko, A.Jauk & T.Janc (1988) Induction of Reliable Decision Rules, ISSEK Workshop, Udine, 10-13 Sept.
B20. S.Hojker, I.Kononenko, A.Jauk, V.Fidler & M.Porenta (1988) Expert System's Development in the Management of Thyroid Diseases, European Congress for Nuclear Medicine, Milano, Sept. 1988 (4 pages)
B21. Neural networks and artificial intelligence, 11th Internat. Conf. Computer at the university, Cavtat, June 5-9 1989, pp. 8.3.1-8.3.6.
B22. Interpretation of neural networks decisions, IASTED Internat. Conf. Expert systems & applications, Zurich, June 26-29 1989, pp.224-227 (also: ISSEK Workshop, Udine, Sept. 1989).
B23. V.Pirnat, I.Kononenko, T.Janc, I.Bratko (1989) Medical estimation of automatically induced diagnostic rules, 2nd European Conf. Artificial intelligence in medicine, London, 29-31 August, Springer Verlag, pp.24-36.
B24. A.Stefanovska, L.Vodovnik, I.Kononenko (1989) Toward a logic for the effect of electrical stimulation of wound healing, RESNA 12th Annual Conference, New Orleans, Louisiana, June 25-30 1989,pp.173-174.
B25. ID3, Sequential Bayes, Naive Bayes and Bayesian Neural Networks. Proc. EWSL 1989, Montpellier:France, Dec. 4-6, 1989, pp.91-98. - PS
B26. Semi-naive Bayesian classifier, Proc. EWSL-91 (Y.Kodratoff (ed.), Springer-Verlag), Porto, March 4-6 1991, pp.206-219. - PS
B27. An experiment in machine learning of redundant knowledge, Proc. Intern. Conf. MELECON 1991, Ljubljana, May 1991, pp.1146-1149.
B28. Feedforward Bayesian neural networks and continuous attributes, Proc. IJCANN-91, Westin Stamford and Westin Plaza, Singapore, 18-21 November 1991, pp.146-151.
B29. I.Kononenko, M.Kovačič (1992) Learning as optimization: Stochastic generation of multiple knowledge, In D.Sleeman and P.Edwards, eds., Machine Learning: Proceedings of the Ninth International conference (ML92), Morgan Kaufmann, San Mateo, CA. (6 pages).
B30. Combining decisions of multiple rules, AIMSA '92 - Proceedings of 5th International Conference, 21-24 September 1992, Sophia, Bulgaria. - PS
B31. U.Pompe, M.Kovačič, I.Kononenko (1993) SFOIL: Stochastic approach to inductive logic programming. Zbornik: Elektrotehniška in računalniška konferenca ERK-93, Portorož, 27.-29.9.1993.
B32. Estimating attributes: Analysis and extensions of RELIEF.Proc. ECML-94, Catania, Sicily, April 1994 (F.Bergadano, L.de Readt (eds.)),Springer Verlag, pp.171-182. - PS
B33. I.Kononenko, E.Šimec (1994) Induction of decision trees using RELIEFF, ISSEK Workshop, Udine, 6-8.9.1994 (To appear in: R.Kruse, R.Viertl, G.Della Riccia (eds.),CISM Lecture Notes, Springer Verlag) - PS
B34. U. Pompe, I. Kononenko (1994) Linear space induction in first order logic with RELIEFF, ISSEK Workshop, Udine, 6-8.9.1994 (To appear in: R.Kruse, R.Viertl, G.Della Riccia (eds.),CISM Lecture Notes, Springer Verlag)
B35. A counter-example to the stronger version of the binary tree hypothesis, ECML-95 Workshop on Machine Learning, Statistics and Discovery in Databases, Heraklion, 28-29 April, 1995, pp.31-36 - PS
B36. On Biases in Estimating Multivalued Attributes, Proc. IJCAI-95, Montreal, August 20-25 1995, pp. 1034-1040. - PDF
B37. M.Kukar, I.Kononenko, T.Silvester (1995) Prognosing the femoral neck fracture recovery with machine learning, Proc ITI-95, Pula, June 1995, pp. 103-108.
B38. U. Pompe, I. Kononenko (1995) Naive Bayesian classifier within ILP-R, ILP-95, Leuven, Sept. 1995, pp.417-436
B39. Kukar M., Bešič N., Kononenko I., Aursperg M., Robnik-Šikonja M.(1996) Prognosing the survival time of the patients with the anaplastic thyroidcarcinoma with machine learning, Proc. IDAMAP-96, Budapest, August 1996, pp.50-55.
B40. U.Pompe, I.Kononenko, T.Makše (1996) An application of ILP in a musical database: Learning to compose the two-voice counterpoint, Proc. MLnet Workshop on Data Mining with ILP, Bari, Italy, July 1996, pp.1-11 - PS.
B41. M.Robnik-Šikonja, I.Kononenko (1996) Context-sensitive attribute estimation in regression, Proc. ICML-96 Workshop on learning in context-sensitive domains, Bari, Italy, July 1996, pp. 43-52 - PS
B42. B.Šter, M.Kukar, A.Dobnikar, I.Kranjec, I.Kononenko (1996) Experiments with machine learning in the prediction of coronary artery disease progression, Proc. IDAMAP-96, Budapest, August 1996, pp.79-84.
B44. I.Kononenko, M.Robnik-Šikonja, U.Pompe (1996) ReliefF for estimation and discretization of attributes in classification, regression, and ILP problems, Proc. AIMSA-96, (Sozopol, Bulgaria, Sept. 1996), A.Ramsey (ed.), IOS Press, pp. 31-40 - PS
B45. M.Kukar, C.Grošelj, I.Kononenko, J.Fettich (1997) An application of machine learning in the diagnosis of iscaemic heart disease, Proc. Artificial Intelligence in Medicine AIME-97 (eds. Keravnou et al.), Springer Verlag (Grenoble, March 1997), pp. 461-464.
B46. I.Zelič, I.Kononenko, N.Lavrač, V.Vuga (1997) Machine learning applied to diagnosis of sport injuries, Proc. Artificial Intelligence in Medicine AIME-97 (eds. Keravnou et al.), Springer Verlag (Grenoble, March 1997), pp. 138-141.
B47. I.Zelič, I.Kononenko, N.Lavrač, V.Vuga (1997) Diagnosis of sport injuries with machine learning: Explanation of induced decisions, Proc. 10th IEEE Symposium on Computer Based Medical Systems CBMS-97 (Maribor, June 1997)
B48. M.Kukar, C.Grošelj, I.Kononenko, J.Fettich (1997) Diagnosing the iscaemic heart disease with machine learning, Proc. 10th IEEE Symposium on Computer Based Medical Systems CBMS-97 (Maribor, June 1997)
B49. M.Robnik-Šikonja, I.Kononenko (1997) An adaptation of Relief for attribute estimation in regression, Proc. Intern Conf. on Machine Learning ICML-97, Nashvile, July 1997
B50. U.Pompe, I.Kononenko (1997) Probabilistic first-order classification, Proc. Inductive Logic Programming Workshop ILP-97, Prague
B51. I.Zelic, I.Kononenko, N.Lavrac, V.Vuga (1997) Induction of decision trees and Bayesian classification applied to diagnosis of sport injuries, Proc. IDAMAP-97, Nagoya, Japan, August 1997, pp. 61-67.
B52. C.Groselj, M.Kukar, J.Fettich, I.Kononenko (1997) Impact of machine learning to the diagnostic certainty of the patient's group with low coronary artery disease probability. In: I.Kononenko, T.Urbancic (ur.) (1997) Racunalniska analiza medicinskih podatkov, Zbornik delavnice CADAM-97 (Bled, november 1997), Institut Jozef Stefan, pp.68-74.
B53. C.Groselj, M.Kukar, J.Fettich, and I.Kononenko (1997) Machine learning improves the accuracy of coronary artery disease diagnostic methods. Proc. Computers in Cardiology, Lund, Sweden, 1997.
B54. M.Kukar, I.Kononenko (1998) Cost-sensitive learning with neural networks, Proc. European conf. on Arificial Intteligence ECAI-98, Brighton, August 1998, pp. 445-449.
B55. M.Robnik-Sikonja, I.Kononenko (1998) Pruning regression trees with MDL, Proc. European conf. on Arificial Intteligence ECAI-98, Brighton, August 1998, pp. 455-459.
B56. Personal experience in healing with 'bioenergy', Proc. Int. conf. KIRLIONICS-98 (Abstracts), St.Petersburg, June 1998, p.9.
B57. T.Zrimec, I.Kononenko (1998) Feasibility analysis of machine learning in medical diagnosis from aura images, Proc. Int. conf. KIRLIONICS-98 (Abstracts), St.Petersburg, June 1998, pp.10-11.
B58. Aura, 'bioenergy', distance healing: Personal experienc and scientific apporaches to study exotic phenomena, Proc. Cognitive Sciences, Ljubljana, October 1998, pp.66-69, 1998.
B59. The minimum description length based decision tree pruning, Proc. PRICAI-98, Singapore, November 1998, pp. 228-237 - PS.
B60. M. Robnik - Sikonja, I. Kononenko (1999) Attribute dependencies, understandability and split selection in tree based models, Proc. Int. Conf. on Machine Learning ICML-99, Bled, 27-29 June 1999.
B61. T. Zrimec, I.Kononenko, B.Prihavec (1999) Current Research in machine learning from BEO-grams, Proc. Science, Information and Spirit 99, St. Petersburg, 29 May - 1st June 1999, pp. 40-42.
B62. I.Kononenko, T.Zrimec, S.Stanojevic (1999) Machine learning and GDV images: Diagnosis and therapy verification, Proc. Biology and Cognitive Science, Ljubljana, October 1999.
B63. I.Kononenko, T.Zrimec (1999) Machine learning and GDV images: Current research and results, Proc. Biology and Cognitive Science, Ljubljana, October 1999.
B64. I. Kononenko, T. Zrimec, A. Doganoc, M. Krebelj, M. Simcic (1999) Machine learning and GDV images: A case study, Proc. Life Electric 99, Edmonton, May 14-16 1999, pp. 40-44 - PS.
B65. M.Robnik-Šikonja, I.Kononenko (1999) Comprehensiveness of tree based models: attribute dependencies and split selection, Proc. Analysis, Warehousing and Mining the Data- ISBN 961-6303-18-X, Ljubljana, 12.-14. October 1999, pp. PS 89-99.
B66. A.Trampuž, I.Kononenko, V.Rus (1999) Experiental and biophysical effects of the art of living programme on its participants, Proc. Biology and Cognitive Science- ISBN 961-6303-18-X, Ljubljana, October 1999, pp. 94-97 - DOC.
B67. P.Peer, B.Prihavec, I.Kononenko, F.Solina (1999) Vizualizacija bioelektromagnetnega polja človeka, Proc. ERK-99- ISBN 961-6062-17-4, (Portorož, Sept. 1999), pp. 163-166.
B68. Kononenko I., Zrimec T., Sadikov A., Skočaj D. (2000) GDV images: Current research and results, Proc. New Science of Consciousness: 3rd Int. Conf. on Cognitive Science- ISBN 961-6303-27-9 , Ljubljana, October 2000, pp. 65-68. - PDF
B69. Kononenko I., Bosnić Z., Žgajnar B. (2000) The influence of mobile telephones on human bioelectromagnetic field, Proc. New Science of Consciousness: 3rd Int. Conf. on Cognitive Science- ISBN 961-6303-27-9 , Ljubljana, October 2000, pp. 69-72.
B70. Bevk M., Kononenko I., Zrimec T. (2000) Relation between energetic diagnoses and GDV images, Proc. New Science of Consciousness: 3rd Int. Conf. on Cognitive Science- ISBN 961-6303-27-9 , Ljubljana, October 2000, pp. 54-57.
B71. A.Trampuž, I.Kononenko, V.Rus (2000) Experiental and biophysical effects of the Art of Living programme (Abstract), Int. Journal of Psychology - Abstracts of 27th Int. Congress of Psychology, Stockholm, 23-28 July 2000- ISSN 0020-7594, 35(3/4)12- DOC.
B72. I.Kononenko, T.Zrimec (2000) Using machine learning to analyse GDV images: Current research and results, Invited lecture, Proc. IFOAM-2000: 13th International IFOAM Scientific Conference- ISBN 3-7281-2754-X, Basel, Switzerland, 28-31 August 2000, pp. 304 - DOC.
B73. A.Sadikov, I.Kononenko, M.Pirc (2000) Vizualizacija in analiza bioelektromagnetnega polja človeka, Proc. ERK-2000- ISBN 961-6062-19-0, (Portorož, Sept. 2000)
B74. I.Kononenko, T. Zrimec, A. Sadikov, M. Bevk (2000) Current results of experiments with GDV images, Proc. 5th Official Conf. of the International Union of Scientific and Applied Bioelectrography, Curitiba, Brasil, November 2000 (in press).
B75. M.Robnik-Šikonja, I.Kononenko (2001) Comprehensible interpretation of Relief's Estimates, submitted ICML-2001
B76. M.Robnik-Šikonja, D.Cukljati, I.Kononenko (2001) Evaluation of prognostic factors and prediction of chronic wound healing rate by machine learning tools, submitted AIMED 2001.
B77. I.Kononenko, M.Bevk (2002) Extrasense diagnoses and GDV images, Towards a Science of Consciousness> Tucson 2002,Tucson, Arizona, April 8-12, 2002, pp.132
B78. Bevk M.,Kononenko I., A Statistical Approach to Texture Description of Medical Images: A Preliminary Study, Fifteenth IEEE Conference on Computer-Based Medical Systems, Maribor, Slovenia, 2002, pp.239-244.
B79. Bevk M.,Kononenko I., A Statistical Approach to Texture Description of Medical Images: A Preliminary Study, Workshop on Machine Learning in Computer Vision, Nineteenth International Conference on Machine Learning, Sydney, Australia, 2002, pp.39-48. - PDF
B80. Kononenko I., Osredkar N. (2002) Coronas reflect the stress-level of sportsmen. Proc. 6th International Scientific Congress on Bioelectrography,
ISBN 5-93793-003-7, St. Petersburg, July 13-14 2002, pp. 43-45.
B81. Kononenko I., Sadikov A. (2002) Vitality of plants through coronas of fruits and leaves.Proc. 6th International Scientific Congress on Bioelectrography, ISBN 5-93793-003-7, St. Petersburg, July 13-14 2002, pp. 45-46.
B82.KUKAR, Matja"z, KONONENKO, Igor. Reliable classifications with machine learning. V: ELOMAA, Tapio (ur.), MANNILA, Heikki (ur.), TOIVONEN, Hannu (ur.). Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings, (Lecture notes in computer science,
Lecture notes in artificial intelligence, vol. 2430). Berlin [etc.]: Springer, 2002, str. 219-231.
B83. KONONENKO, Igor, GAMS, Matjaž. Introduction to session : cognitive and bioinformatics. V: DETELA, Andrej (ur.), GAMS, Matja"z (ur.), REPOV"S, Grega (ur.), ULE, Andrej (ur.). Kognitivne znanosti : zbornik C 5. mednarodne multi-konference Informacijska družba IS'2002, 14.-18.oktober 2002 : proceedings C of the 5th International Multi-Conference Information Society IS' 2002, 14-18th October 2002, Ljubljana, Slovenia. Ljubljana: Institut Jozef Stefan, 2002, str. 102.
B84. Nekateri vidiki strojnega učenja, umetne inteligence in zavesti, V: DETELA, Andrej (ur.), GAMS, Matja"z (ur.), REPOV"S, Grega (ur.), ULE, Andrej (ur.). Kognitivne znanosti : zbornik C 5. mednarodne multi-konference Informacijska dru"zba IS'2002, 14.-18.oktober 2002 : proceedings C of the 5th International Multi-Conference Information Society IS' 2002, 14-18th October 2002, Ljubljana, Slovenia. Ljubljana: Institut Jožef Stefan, 2002, str. 110-113 - DOC
B85. Ali znanost lahko obrazlo"zi obsmrtna do"zivetja? V: DETELA, Andrej (ur.), GAMS, Matja"z (ur.), REPOV"S, Grega (ur.), ULE, Andrej (ur.). Kognitivne znanosti : zbornik C 5. mednarodne multi-konference Informacijska dru"zba IS'2002, 14.-18.oktober 2002 : proceedings C of the 5th International Multi-Conference Information Society IS' 2002, 14-18th October 2002, Ljubljana, Slovenia. Ljubljana: Institut Jožef Stefan, 2002, str. 138-141- DOC.
B86. Bevk, Matja"z ; Kononenko, Igor, Exploring the memory of matter. V: DETELA, Andrej (ur.), GAMS, Matja"z (ur.), REPOV"S, Grega (ur.), ULE, Andrej (ur.). Kognitivne znanosti : zbornik C 5. mednarodne multi-konference Informacijska dru"zba IS'2002, 14.-18.oktober 2002 : proceedings C of the 5th International Multi-Conference Information Society IS' 2002, 14-18th October 2002, Ljubljana, Slovenia. Ljubljana: Institut Jožef Stefan, 2002, str. 115-117
B87. Sadikov, Aleksander ; Kononenko, Igor: Information stored in coronas of fruits and leaves.V: DETELA, Andrej (ur.), GAMS, Matja"z (ur.), REPOV"S, Grega (ur.), ULE, Andrej (ur.). Kognitivne znanosti : zbornik C 5. mednarodne multi-konference Informacijska dru"zba IS'2002, 14.-18.oktober 2002 : proceedings C of the 5th International Multi-Conference Information Society IS' 2002, 14-18th October 2002, Ljubljana, Slovenia. Ljubljana: Institut Jožef Stefan, 2002, str. 222-226.
B88. "Sajn, Luka ; Kononenko, Igor; Hojker, Sergej: Raeunalniška analiza laboratorijskih izvidov pri obolenjih "s"citnice. V: ZAJC, Baldomir (ur) Zbornik 11. mednarodne Elektrotehni"ske in ra"cunalni"ske konference ERK 2002/ Proc. Of 11th International Electrotechnical and Computer Science Conference ERK 2002, Portoro"z, Slovenia, 2002, Vol B, str. 349-352 .
B89. Studying subtle energies with Kirlian camera. V: Global Holistic Health Summit (abstracts), Bangalore India, 12-17 January, 2003 , str. 24-25.
B90. Zadnik, Matjaž; Kononenko, Igor; Bevk, Matjaž: Parametrization and machine learning from dark-field microscopic images of dried drops of water. V: KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies : proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003. Ljubljana: Institut "Jožef Stefan", 2003, 190 str., ISBN 961-6303-50-3, str. 16-18
B91. Bevk, Matjaž; Kononenko, Igor; Robnik Šikonja, Marko: A preliminary study on pattern analysis of dehydrated droplets. V: KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies : proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003. Ljubljana: Institut "Jožef Stefan", 2003, 190 str., ISBN 961-6303-50-3, str. 4-7 -PDF 3.4MB
B92. Zahodna medicina in zdravilstvo. V: KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies : proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003. Ljubljana: Institut "Jožef Stefan", 2003, 190 str., ISBN 961-6303-50-3, str. 73-76 - DOC
B93. Kononenko, Igor; Bevk, Matjaž; Sadikov, Aleksander; Šajn, Luka: Machine learning from coronas using parametrization of images. V: KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies: proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003. Ljubljana: Institut "Jožef Stefan", 2003, 190 str., ISBN 961-6303-50-3, str. 106-109
B94. Sadikov, Aleksander; Kononenko, Igor: Latest experiments with GDV technique in agronomy. V: KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies : proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003. Ljubljana: Institut "Jožef Stefan", 2003, 190 str., ISBN 961-6303-50-3, str. 110-113
B95. Znanost preverja fenomene zavesti. V: KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies : proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003. Ljubljana: Institut "Jožef Stefan", 2003, 190 str., ISBN 961-6303-50-3, str. 169-172 - DOC
B96. BOSNIĆ, Zoran, KONONENKO, Igor, ROBNIK ŠIKONJA, Marko, KUKAR, Matjaž. Evaluation of prediction reliability in regression using the transduction principle. V: ZAJC, Baldomir (ur.), TKALEIE, Marko (ur.). The IEEE Region 8 EUROCON 2003 : computer as a tool : 22-24. September 2003, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia : proceedings. Piscataway: IEEE, cop. 2003, vol. 2, str. 99-103 - PDF
B97.SADIKOV, Aleksander, BRATKO, Ivan, KONONENKO, Igor. Search versus knowledge : an empirical study of minimax on KRK. V: HERIK, Jaap van den (ur.), IIDA, Hiroyuki (ur.), HEINZ, Ernst A. (ur.). Advances in computer games : many games, many challenges : proceedings of the ICGA/IFIP SG16, (IFIP, 135). Boston; Dordrecht; London: Kluwer Academic Publishers, cop. 2004, str. [33]-44 - PDF.
B98. BEVK, Matjaž, KONONENKO, Igor. Towards symbolic mining of images with association rules : preliminary results on textures. V: BRITO, Paula (ur.), NOIRHOMME-FRAITURE, Monique (ur.). ECML/PKDD 2004 : proceedings of the workshop W2 on symbolic and spatial data analysis: mining complex data structures. [S. l.: s. n.], 2004, str. 43-53. - PDF
B99. SADIKOV, Aleksander, SEDEJ, Miha, KONONENKO, Igor. Analiza meritev vpliva UV svetlobe na vitalnost smrek. V: ULE, Andrej (ur.), GAMS, Matjaž (ur.), REPOVŠ, Grega (ur.). Kognitivna znanost : zbornik A 7. mednarodne multi-konference Informacijska družba IS 2004, 9. do 15. oktober 2004 : proceedings A of the 7th International Multi-Conference Information Society IS 2004, 9-15th October 2004, Ljubljana, Slovenia, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2004, str. 90-93.
B100. KONC, Gorazd, BOŽIE, Dušan, KONONENKO, Igor, BEVK, Matjaž, ROBNIK ŠIKONJA, Marko. Analiza vpliva izmenienega magnetnega polja na kapljevine. V: ULE, Andrej (ur.), GAMS, Matjaž (ur.), REPOVŠ, Grega (ur.). Kognitivna znanost : zbornik A 7. mednarodne multi-konference Informacijska družba IS 2004, 9. do 15. oktober 2004 : proceedings A of the 7th International Multi-Conference Information Society IS 2004, 9-15th October 2004, Ljubljana, Slovenia, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2004, str. 102-105.
B101. VOUK, Boštjan, KONONENKO, Igor, BEVK, Matjaž, ROBNIK ŠIKONJA, Marko. Analiza vpliva pretresanja in sevanja na kapljevine. V: ULE, Andrej (ur.), GAMS, Matjaž (ur.), REPOVŠ, Grega (ur.). Kognitivna znanost : zbornik A 7. mednarodne multi-konference Informacijska družba IS 2004, 9. do 15. oktober 2004 : proceedings A of the 7th International Multi-Conference Information Society IS 2004, 9-15th October 2004, Ljubljana, Slovenia, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2004, str. 106-109.
B102. Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski (2005) Automatic segmentation of whole-body bone scintigrams as a preprocessing step for computer assisted diagnostics, Proc. AIME-05, Aberdeen, GB
B103. Igor Kononenko, Miha Sedej, Aleksander Sadikov (2005) GDV Measures Vitality?, Proc. IEEE CBMS-05, Dublin, Ireland p. 443-445 - DOC
B104. L. Sajn, M. Bevk, I. Kononenko, M. Milcinski (2005) Automatic Diagnostics of Whole-body Scintigrams Using Image Segmentation and Parametrization. Proc. EANM'05 - Annual Congress of the European Assocation of Nuclear Medicine, Istanbul, October 2005.
B105. KONONENKO, Igor. Objektivna znanost in subjektivna duhovnost sta komplementarni. V: MARKIČ, Olga (ur.), GAMS, Matjaž (ur.), KORDEŠ, Urban (ur.), HERIČKO, Marjan (ur.), MLADENIĆ, Dunja (ur.), GROBELNIK, Marko (ur.), ROZMAN, Ivan (ur.), RAJKOVIČ, Vladislav (ur.), URBANČIČ, Tanja (ur.), BERNIK, Mojca (ur.), BOHANEC, Marko (ur.). Zbornik 8. mednarodne multikonference Informacijska družba IS 2005, 11. do 17. oktober 2005, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2005, 2005, str. 61-64
B106. BOSNIĆ, Zoran, KONONENKO, Igor. Estimation of prediction reliability in regression based on a transductive approach. V: PRASAD, Bhanu (ur.). IICAI : proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005. , p. 3502-3516,
B107. KONONENKO, Igor. Učitelji modrosti vseh kultur sporočajo isto. V: BOHANEC, Marko (ur.), GAMS, Matjaž (ur.), RAJKOVIČ, Vladislav (ur.), URBANČIČ, Tanja (ur.), BERNIK, Mojca (ur.), MLADENIĆ, Dunja (ur.), GROBELNIK, Marko (ur.), HERIČKO, Marjan (ur.), KORDEŠ, Urban (ur.), MARKIČ, Olga (ur.), MUSEK, Janek (ur.), OSREDKAR, Mari Jože (ur.), KONONENKO, Igor (ur.), NOVAK ŠKARJA, Barbara (ur.). Zbornik 9. mednarodne multikonference Informacijska družba IS 2006, 9. do 14. oktober 2006, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2006, str. 418-421
B108. PODPEČAN, Vid, LAVRAČ, Nada, KONONENKO, Igor. A fast algorithm for mining utility-frequent itemsets. V: NIJSSEN, Siegfried (ur.), RAEDT, Luc de (ur.). The 18th European Conference on Machine Learning and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, September 21, 2007, Warsaw, Poland. International Workshop on Constraint-based Mining and Learning at ECML/PKDD 2007, CMILE'07. [S. l.: s. n.], 2007, str. 10-20.
B109. STOŠIĆ, Aleksandar, KONONENKO, Igor, PORENTA, Marjetka. The influence of artificial beach on human coronas. V: KONONENKO, Igor (ur.). Proceedings of measuring energy fields : international scientific conference, Kamnik, Tunjice, 13-14 October 2007. Kamnik: Zavod Zdravilni gaj, 2007, str. 99-102
B110. ŽULIČ, Anton, KONONENKO, Igor, ŠMARČAN, Davorin. The influence of Situla A Detox on human coronas. V: KONONENKO, Igor (ur.). Proceedings of measuring energy fields : international scientific conference, Kamnik, Tunjice, 13-14 October 2007. Kamnik: Zavod Zdravilni gaj, 2007, str. 107-110.

B111 KONONENKO, Igor. Objective science and subjective spirituality are complementary. V: KONONENKO, Igor (ur.). Proceedings of measuring energy fields : international scientific conference, Kamnik, Tunjice, 13-14 October 2007. Kamnik: Zavod Zdravilni gaj, 2007, str. 117-124.
B112. KONONENKO, Igor. Science and spirituality are complementary : the same is true for scientific and holistic medicine. V: ICHM 2008 : [proceedings]. Kottayam: Institute for Holistic Medical Sciences Chathukulam Buildings Parumbaikadu, cop. 2008, p. 1-11.

· B113. PEVEC, Darko, BOSNIĆ, Zoran, KONONENKO, Igor. Comparison of approaches for estimating reliability of individual classification predictions. V: BOHANEC, Marko et al. (ur.), Zbornik 12. mednarodne multikonference Informacijska družba - IS 2009, 12.-16. oktober 2009 : zvezek A : volume A, (Informacijska družba). Ljubljana: Institut Jožef Stefan, 2009, zv. A, str. 46-49.

· B114. KLAUSER, Julian, KONONENKO, Igor. Explanation of regression decisions by analogy with the explanation in classification. V: BOHANEC, Marko et al. (ur.), Zbornik 12. mednarodne multikonference Informacijska družba - IS 2009, 12.-16. oktober 2009 : zvezek A : volume A, (Informacijska družba). Ljubljana: Institut Jožef Stefan, 2009, str. 34-37,

· B115. KOCJAN, Egon, KONONENKO, Igor. Regression as cost-sensitive classification. V: BOHANEC, Marko et al. (ur.) Zbornik 12. mednarodne multikonference Informacijska družba - IS 2009, 12.-16. oktober 2009 : zvezek A : volume A, (Informacijska družba). Ljubljana: Institut Jožef Stefan, 2009, str. 38-41,

· B116. VRAČAR, Petar, KONONENKO, Igor. Window recognition on images of building façades. V: BOHANEC, Marko (ur.), BRODNIK, Andrej (ur.). Zbornik 13. mednarodne multikonference Informacijska družba - IS 2010, 11.-15. oktober 2010, (Informacijska družba). Ljubljana: Institut Jožef Stefan, 2010, zv. A, str. 55-58

· B117. PEVEC, Darko, ŠTRUMBELJ, Erik, KONONENKO, Igor. Evaluating reliability of single classifications of neural networks. V: DOBNIKAR, Andrej (ur.), LOTRIČ, Uroš (ur.), ŠTER, Branko (ur.). Adaptive and natural computing algorithms : 10th international conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011 : proceedings, (Lecture notes in computer science, ISSN 0302-9743, 6593; 6594). Heidelberg [etc.]: Springer, cop. 2011, part 1, str. 22-30,

B118. ŠTRUMBELJ, Erik, ROBNIK ŠIKONJA, Marko, KONONENKO, Igor. Learning betting tips from users' bet selections. Lect. notes comput. sci., str. 678-688,

· B119. ROBNIK ŠIKONJA, Marko, LIKAS, Aristidis, CONSTANTINOPOULOS, Constantinos, KONONENKO, Igor, ŠTRUMBELJ, Erik. Efficiently explaining decisions of probabilistic RBF classification networks. V: DOBNIKAR, Andrej (ur.), LOTRIČ, Uroš (ur.), ŠTER, Branko (ur.). Adaptive and natural computing algorithms : 10th international conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011 : proceedings, (Lecture notes in computer science, ISSN 0302-9743, 6593; 6594). Heidelberg [etc.]: Springer, cop. 2011, part 1, str. 169-179

· B120. ŠTRUMBELJ, Erik, KONONENKO, Igor. A general method for visualizing and explaining black-box regression models. V: DOBNIKAR, Andrej (ur.), LOTRIČ, Uroš (ur.), ŠTER, Branko (ur.). Adaptive and natural computing algorithms : 10th international conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011 : proceedings, (Lecture notes in computer science, ISSN 0302-9743, 6593; 6594). Heidelberg [etc.]: Springer, cop. 2011, part 2, str. 21-30

· B121. DEMŠAR, Jaka, BOSNIĆ, Zoran, KONONENKO, Igor. Visualization of explanations of incremental models. V: PILTAVER, Rok (ur.), GAMS, Matjaž (ur.). Inteligentni sistemi : zbornik 17. mednarodne multikonference - IS 2014, 7-8 oktober 2014, Ljubljana, Slovenija : zvezek A = Intelligent systems : proceedings of the 17th International Multiconference Information Society - IS 2014, October 7th-8th, 2014, Ljubljana, Slovenia : volume A. Ljubljana: Institut Jožef Stefan, 2014, str. 18-21,

· B122. PETELIN, Boris, KONONENKO, Igor, KUKAR, Matjaž, MALAČIČ, Vlado, MALEJ, Alenka. Spatial-temporal directed graphs for modelling the dispersion of plankton in the Mediterranean sea. Rapports et Proces Verbaux des Réunions - Commission Internationale pour l'Exploration Scientifique de la Mer Méditerranée, ISSN 0373-434X, 2013, vol. 40, str. 541. http://www.ciesm.org/online/archives/abstracts/pdf/40/index.php.

· B123. PEVEC, Darko, KONONENKO, Igor. Model selection with combining valid and optimal prediction intervals. V: The 12th IEEE International Conference on Data Mining Workshops, 10 December 2012, Brussels, Belgium. VREEKEN, Jilles (ur.). ICDMW 2012. Piscataway: Institute of Electrical and Electronics Engineers: = IEEE, cop. 2012, str. 653-658,

· B124. KONONENKO, Igor, ŠTRUMBELJ, Erik, BOSNIĆ, Zoran, PEVEC, Darko, KUKAR, Matjaž, ROBNIK ŠIKONJA, Marko. Explanation and reliability of individual predictions : recent research by LKM. V: BOHANEC, Marko (ur.), et al. Zbornik 15. mednarodne multikonference Informacijska družba - IS 2012, 8.-12. oktober 2012, Ljubljana, Slovenia : zvezek A = Proceedings of the 15th International Multiconference Information Society - IS 2012, October 8th-12th, 2012, [Ljubljana, Slovenia] : volume A, (Informacijska družba, ISSN 1581-9973). Ljubljana: Institut Jožef Stefan, 2012, str. 41-44,

· B125. KONONENKO, Igor. Western medicine and traditional healing. V: RAKOVIĆ, Dejan I. (ur.), ARANDJELOVIĆ, S. (ur.), MIĆOVIĆ, Mirjana (ur.). Acupuncture-based & consciousness-based holistic approaches & techniques : QIM 2011 symposium proceedings. Belgrade: International Association for Promotion and Development of Quantum Medicine: National Association for Improvement and Development of Regenerative Medicine with Health Festival: DRF Fund for Promoting Holistic Research and Ecology of Consciousness, 2011, str. 252-259.

· B126. BOSNIĆ, Zoran, RODRIGUES, Pedro Pereira, KONONENKO, Igor, GAMA, João. Correcting streaming predictions of an electricity load forecast system using a prediction reliability estimate. V: CZACHÓRSKI, Tadeusz (ur.), KOZIELSKI, Stanisław (ur.), STAŃCZYK, Urszula (ur.). Man-machine interactions 2, (Advances in intelligent and soft computing (Print), ISSN 1867-5662, 103). Berlin; Heidelberg: Springer, cop. 2011, str. 343-350

· B127. KONONENKO, Igor. Science and spirituality = objectivity and subjectivity = rational and real = knowledge and wisdom. V: KARABEG, Dino (ur.), et al. Partial versus holistic oriented approaches : QIM 2011 Round Table Knowledge Federation Proceedings. Belgrade: International Association for Promotion and Development of Quantum Medicine: National Association for Improvement and Development of Regenerative Medicine with Health Festival: DRF Fund for Promoting Holistic Research and Ecology of Consciousness: Knowledge Federation, 2011, str. 108-119.

· B128. KRESLIN, Rok, KONONENKO, Igor. A method for calibrating regression models. V: BOHANEC, Marko (ur.), et al. Zbornik 14. mednarodne multikonference Informacijska družba - IS 2011, 10.-14. oktober 2011 : zvezek A = Proceedings of the 14th International Multiconference Information Society - IS 2011, October 10th-14th, 2011, Ljubljana, Slovenia : volume A, (Informacijska družba, ISSN 1581-9973). Ljubljana: Institut Jožef Stefan, 2011, str. 19-22,

· B129. PEVEC, Darko, ŠTRUMBELJ, Erik, KONONENKO, Igor. Local neighbourhood based estimation of prediction intervals for arbitrary regression models. V: BOHANEC, Marko (ur.), et al. Zbornik 14. mednarodne multikonference Informacijska družba - IS 2011, 10.-14. oktober 2011 : zvezek A = Proceedings of the 14th International Multiconference Information Society - IS 2011, October 10th-14th, 2011, Ljubljana, Slovenia : volume A, (Informacijska družba, ISSN 1581-9973). Ljubljana: Institut Jožef Stefan, 2011, str. 23-26

· B130. CANHASI, Ercan, KONONENKO, Igor. Semantic role frames graph-based multidocument summarization. V: BOHANEC, Marko (ur.), et al. Zbornik 14. mednarodne multikonference Informacijska družba - IS 2011, 10.-14. oktober 2011 : zvezek A = Proceedings of the 14th International Multiconference Information Society - IS 2011, October 10th-14th, 2011, Ljubljana, Slovenia : volume A, (Informacijska družba, ISSN 1581-9973). Ljubljana: Institut Jožef Stefan, 2011, str. 113-116

· B131. KOŠIR, Domen, BOSNIĆ, Zoran, KONONENKO, Igor. A framework for a multilingual contextual and behavioral online advertising network : a case study. V: BOHANEC, Marko (ur.), et al. Zbornik 14. mednarodne multikonference Informacijska družba - IS 2011, 10.-14. oktober 2011 : zvezek A = Proceedings of the 14th International Multiconference Information Society - IS 2011, October 10th-14th, 2011, Ljubljana, Slovenia : volume A, (Informacijska družba, ISSN 1581-9973). Ljubljana: Institut Jožef Stefan, 2011, str. 129-132

· B132. RADOVIĆ, Miloš D., FILIPOVIĆ, Nenad D., BOSNIĆ, Zoran, VRAČAR, Petar, KONONENKO, Igor. Mining data from hemodynamic simulations for generating prediction and explanation models. V: Emerging technologies for patient specific healthcare. [S. l.: s. n.], 2010, str. 1-4, ilustr

· B133. KONONENKO, Igor. Inteligenca in zavest = Intelligence and consciousness. V: OREL, Mojca (ur.), JURJEVČIČ, Stanislav (ur.). Nova vizija tehnologij prihodnosti = The new vision of future technologies. Polhov Gradec: Eduvision, 2014, f. 9-22.

· B134. PEVEC, Darko, BOSNIĆ, Zoran, KOŠIR, Domen, KUKAR, Matjaž, ROBNIK ŠIKONJA, Marko, KONONENKO, Igor. Napovednika [!] analitika v naprednih aplikacijah. V: PIES '13 : Posvetovanje o informatiki v energetiki Slovenije. [S. l.: s. n.], 2013, str. 40-46,

· B135. PETELIN, Boris, MALAČIČ, Vlado, MALEJ, Alenka, KUKAR, Matjaž, KONONENKO, Igor. Multi-level association rules and directed graphs for the Lagrangian analysis of the Mediterranean ocean forecasting system (MFS). Geophysical research abstracts, ISSN 1029-7006, 2012, vol. 14, str. 4877-EGU2012. http://meetingorganizer.copernicus.org/EGU2012/EGU2012-4877.pdf.

C: Monographs

C1. J.Žitnik, I.Kononenko: Tehnika programiranja, Iskra-Delta, Ljubljana 1985 (109 pages)
C2. Uvod v prolog in zbirka nalog z rešitvami, skripta, Fakulteta za elektrotehniko, Ljubljana 1987 (253 pages).
C3. I.Kononenko, N.Lavrač: Prolog Through Examples: A Practical Programming Guide, Sigma Press, 1988 (200 pages)
C4. I.Kononenko, B.Cestnik & I.Bratko (1988) Assistant Professional User's Guide, Jožef Stefan Institute, Ljubljana (70 pages)
C5. Uvod v prolog in zbirka nalog z rešitvami (druga, popravljena in dopolnjena izdaja), skripta, Fakulteta za elektrotehniko in računalništvo, Ljubljana 1989.
C6. Programski jeziki, Radovljica: Didakta, Ljubljana, 1992 (208 pages).
C7. Načrtovanje podatkovnih struktur in algoritmov, FRI, Ljubljana, 1996 (316 pages)
C8. Naloge iz programiranja v prologu z rešitvami, FRI, Ljubljana, 1997 (161 pages)
C9. Logično programiranje in drugi principi programskih jezikov, FRI, Ljubljana, 1997 (386 pages)
C10. Strojno ucenje, FRI, Ljubljana, 1997 (319 strani)
C11. Nacrtovanje podatkovnih struktur in algoritmov, 2. popravljena in dopolnjena izdaja, FRI, Ljubljana, 1999 (336 strani)
C12. I.Kononenko, T.Urbančič (ur.) (1997) Računalniška analiza medicinskih podatkov, Zbornik delavnice CADAM-97 - ISBN 86-80023-28-0 (Bled, november 1997), Institut Jožef Stefan. (192 pages)
C13. I.Kononenko (ed.) (2000) Information Society 2000: New Science of Consciousness - Proc. 3rd Int. Conf. on Cognitive science - ISBN 961-6303-27-9 (Ljubljana, 17-19 October 2000), Institut Jožef Stefan. (129 pages)
C14. KONONENKO, Igor, ROBNIK ŠIKONJA, Marko. Algoritmi in podatkovne strukture I. 1. izd. Ljubljana: Fakulteta za računalništvo in informatiko, 2003. ISBN 961-6209-37-X
C15. KONONENKO, Igor, ROBNIK ŠIKONJA, Marko. Algoritmi in podatkovni strukture II. 1. izd. Ljubljana: Fakulteta za računalništvo in informatiko, 2004. ISBN 961-6209-41-8
C16. KONONENKO, Igor (ur.), JERMAN, Igor (ur.). Mind-body studies : proceedings of 6th International Conference on Cognitive Science, Ljubljana, 13-17th October 2003.
Ljubljana: Institut "Jožef Stefan", 2003. X, 190 str., ISBN 961-6303-50-3.
C17. I.Kononenko: Strojno učenje, 2. popravljena in dopolnjena izdaja, - ISBN 961-6209-52-3, FRI, Ljubljana, 2005
C18. I.Kononenko, M.Kukar: Introduction to Machine Learning and Data Mining: Introduction to Principles and Algorithms, Horwood Publishing, 2007. XIX, 454 pages
C19. BOHANEC, Marko (ur.), GAMS, Matjaž (ur.), RAJKOVIČ, Vladislav (ur.), URBANČIČ, Tanja (ur.), BERNIK, Mojca (ur.), MLADENIĆ, Dunja (ur.), GROBELNIK, Marko (ur.), HERIČKO, Marjan (ur.), KORDEŠ, Urban (ur.), MARKIČ, Olga (ur.), MUSEK, Janek (ur.), OSREDKAR, Mari Jože (ur.), KONONENKO, Igor (ur.), NOVAK ŠKARJA, Barbara (ur.). Zbornik 9. mednarodne multikonference Informacijska družba IS 2006, 9. do 14. oktober 2006 = Proceedings of the 9th International Multiconference Information Society IS 2006, 9th-14th October 2006, Ljubljana, Slovenia, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2006. VIII, 474 pages.
C20. KONONENKO, Igor (ur.). Proceedings of measuring energy fields : international scientific conference, Kamnik, Tunjice, 13-14 October 2007. Kamnik: Zavod Zdravilni gaj, 2007. 135 pages
C21. KONONENKO, Igor, ROBNIK ŠIKONJA, Marko, BOSNIĆ, Zoran. Programiranje in algoritmi. 1. izd. Ljubljana: Fakulteta za računalništvo in informatiko, 2008. VIII, 352 pages.
C22. KONONENKO, Igor, ROBNIK ŠIKONJA, Marko, Inteligentni sistemi, 1. izd. Ljubljana: Fakulteta za računalništvo in informatiko, 2010. XII, 366 pages.

Č: Membership in editorial boards and program-committees

Č1. Editorial board Applied Intelligence, Kluwer Academic Publ.
Č2. Program committee: ECML-94: European conference on machine learning, Catania, Italy, April 1994.
Č3. Program committee: Machine learning and statistics. Catania, Italy, April 1994.
Č4. Program committee: ECML-95: European conference on machine learning, Heraklion, Greece, April 1995.
Č5. Program Chairman CADAM-97, Bled, November 1997.
Č6. Editorial board Informatica.
Č7. Program committee: AIMSA-98: Artificial Intelligence: Methodology, Systems and Application, Bulgaria, September 1998.
Č8. Program committee: ECML98 Workshop on upgrading learning to the meta-level. 24. April 1998, Chemnitz, Germany.
Č9. Program committee: The Fifteenth International Conference on Machine Learning (ICML-98), July 24-26, 1998 in Madison, Wisconsin USA.
Č10. Program committee: CADAM-98, Ljubljana, oktober 1998.
Č11. Program committee: ICML-99 Workshop: From Machine Learning to Knowledge Discovery in Databases, Bled, 30. June 1999.
Č12. Program committee: Biology and Cognitive Science, Ljubljana, October 1999.
Č13. Program committee: The 16th International Conference on Machine Learning (ICML-99), Bled, 27-29 June 1999.
Č14. Program committee: ECAI-2000, Spain.
Č15. Predsednik programskega odbora New Science of Consciousness - 3rd Int. Conf. on Cognitive Science, Ljubljana, 17-19 October 2000
Č16. Predsednik programskega in organizacijskega odbora okrogle mize "Psihična energija"' (Finančno podprto s strani MZT), Ljubljana, 18. maj 2000.
Č17. Član programskega odbora konference AIMSA-2000: Artificial Intelligence: Methodology, Systems and Application, Bulgaria, September 2000.
Č18. Član programskega odbora: The 17th International Conference on Machine Learning (ICML-2000), Stanford University June 29-July 2, 2000
Č19. Član programskega odbora in predsednik podpodročja Nadzorovano učenje (Supervised learning): The 18th International Conference on Machine Learning (ICML-2001), Williams College, MA, June/July 2001
Č20. Predsednik programskega in organizacijskega odbora okrogle mize "The quantity of psychic energy'' (Finančno podprto s strani MZT), Ljubljana, 18. oktober 2000.
Č21. Član programskega odbora: The 14th Int. Conf. FLAIRS - Special track on ML, Florida, 21-23 May, 2001
Č22.PC: ICML 2002
Č23. PC: ICML 2003
Č24. PC: ECML 2002
Č25. PC: ECML 2003
Č26.Kononenko, Igor; Jerman, Igor: cochairs: Mind-body studies : 6th International Conference on Cognitive Science, 13-17th October 2003.
Ljubljana: Institut "Jožef Stefan", 2003,
Č27. PC: ECML Worshop: Probabilistic graphical models for classification, 2003. Cavtat, Croatia.
Č28: PC: AIMSA 2002, Varna, Bulgaria
Č29.PC: The 15th Int. Conf. FLAIRS - Special track on ML, Florida, 16-18 May, 2002
Č30.PC: The 16th Int. Conf. FLAIRS - Special track on ML, Florida, 2003
Č31. PC: ECML/PKDD 2004
Č32. PC: ECML/PKDD 2005
Č33. PC: IEEE CBMS 2005
Č34. PC: International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics April 23, 2005, Newport Beach, CA (in conjunction with 2005 SIAM International Conference on Data Mining)

After 2005 not updated anymore.

D: Unpublished articles and technical reports:

D1. Implementacija operacij P in V v PASCAL-S, diplomsko delo,Fakulteta za elektrotehniko, Ljubljana, maj 1982
D2. Uporaba Quinlanove in statistične metode pri diagnostiki primarnega tumorja, delovno poročilo 1, Fakulteta za elektrotehniko, Ljubljana, september 1982
D3. Izboljšave Quinlanove metode za učenje pravil na osnovi primerov, delovno poročilo 2, Fakulteta za elektrotehniko, Ljubljana, december 1982
D4. Uporaba izboljšane induktivne metode za avtomatsko učenje v medicinsski diagnostiki in prognostiki, delovno poročilo 3, Fakulteta za elektrotehniko, Ljubljana, maj 1983
D5. Priročnik za uporabo Winstonovega sistema za učenje konceptov iz sveta kock na osnovi primerov, Fakulteta za elektrotehniko, Ljubljana, september 1983
D6. 1) Popravki Winstonovega sistema za učenje konceptov iz sveta kock na osnovi primerov in 2) III. mediteranska konferenca biološkega in medicinskega inženirstva, delovno poročilo 4, Fakulteta za elektrotehniko, Ljubljana, oktober 1983
D7. Poskusi z ASISTENT-om in njegovo izpopolnjevanje, delovno poročilo 5, Fakulteta za elektrotehniko, Ljubljana, julij 1984
D8. ASISTENT: navodila za uporabnika, Fakulteta za elektrotehniko, maj 1985
D9. ASISTENT : navodila za programerja, Fakulteta za elektrotehniko, junij 1985
D10. Razvoj sistema za induktivno učenje ASISTENT, magistrsko delo, Fakulteta za elektrotehniko, Ljubljana, junij 1985
D11. Navodila za uporabo programov DEFIn,PREPIS in GRUP, Fakulteta za elektrotehniko, Ljubljana, oktober 1985
D12. Poskusi z avtomatskim grupiranjem primerov, Fakulteta za elektrotehniko, Ljubljana, december 1985 (8 pages)
D13. I.Kononenko, A.Karalič, S.Hojker, Poskusi z ASISTENTom pri diagnosticiranju bolezni ščitnice, Fakulteta za elektrotehniko, december 1985 (7 pages)
D14. S.Hojker, I.Kononenko, A.Karalič: Poskusi z avtomatskim učenjem diagnostičnih pravil za diagnosticiranje obolenj ščitnice, delovno poročilo, Univerzitetna klinika za nuklearno medicino, december 1985 (14 pages)
D15. N.Lavrač, I.Mozetič, I.Kononenko: An experimental comparison of two learning programs in three medical domains, IJS, delovno poročilo DP-4323, 1986 (26 pages)
D16. Preverjanje informativnosti avtomatsko naučenih prognostičnih pravil, delovno poročilo, Fakulteta za elektrotehniko, Ljubljana, november 1987 (5 pages)
D17. Implementacija sistema Asistent2, delovno poročilo, Fakulteta za elektrotehniko, Ljubljana, december 1987 (5 pages)
D18. I.Kononenko, A.Jauk, S.Hojker (1987) Izbira dobrih pravil iz odločitvenih dreves, delovno poročilo, Fakulteta za elektrotehniko, Ljubljana, december 1987 (4 pages)
D19. I.Kononenko, A.Karalič, V.Pirnat, T.Zrimec (1987) Poskusi z Asistentom 86 v revmatologiji, delovno poročilo, Fakulteta za elektrotehniko, Ljubljana, december 1987 (6 pages)
D20. S.Hojker, A.Jauk, I.Kononenko (1987) Pomen kontinuiranega spremljanja tiroidnega statusa za izboljšanje diagnostike funkcijskih motenj ščitnice, delovno poročilo, Klinika za nuklearno medicino, Ljubljana
D21. I.Kononenko, A.Karalič, T.Janc, V.Pirnat (1988) Poskusi z Asistentom 86 v revmatologiji, delovno poročilo, Fakulteta za elektrotehniko, Ljubljana (12 pages)
D22. Interpretation of Neural Network's Decisions (1988) Artificial Intelligence Laboratory, Faculty of Electrical Engineering, Ljubljana, June 1988 (4 pages)
D23. An expert system shell based on Bayesian neural network, Technical Report, Faculty of electrical and computer engineering, Ljubljana, May 1989.
D24. Automatic generation of decision rules using Assistant, Technical report, Faculty of electrical and computer engineering, Ljubljana, 1989.(9 pages)
D25. B.Filipič, B.Cestnik, I.Kononenko, I.Konvalinka, D.Maksimovič, J.Adžič (1990) Sinteza i evaluacija pravila za klasifikaciju signala metodologijom automatskog induktivnog učenja, Delovno poročilo IJS DP-5714(1990), Institut Jožef Stefan, Ljubljana (100 pages).
D26. Bayesove nevronske mreže, Disertacija, Univerza v Ljubljani, Fakulteta za elektrotehniko in računalništvo, Ljubljana, 1990.
D27. T.Urbančič, I.Kononenko, V.Križman (Ur.) (1991) Zbornik aplikacij umetne inteligence, LUI IJS in FER, IJS DP-6183.(72 pages)
D28. T.Urbančič, I.Kononenko, V.Križman (eds.) (1991) Artificial Intelligence Applications, AI Laboratory, University of Ljubljana, Jožef Stefan Institute and Faculty of Electrical & Computer Engineering, Ljubljana (72 pages)
D29 Thrun S.B., Bala J., Bratko I., Cestnik B., Cheng J., De Jong K., Džeroski S., Farhlman S.E., Hamann R., Kaufman K., Keller S., Kononenko I., Kreoziger J., Michalski R.S., Mitchell T.,Pachowitz P., Vafaie H., Van de Welde W., Wenzel W., Wnek J., Zhang J. (1991) The Monk's problems: A performance comparison of different Learning Algorithms, Technical Report TR-CMU-LS-91-197, Carnegie Mellon University, U.S.A.
D30. I.Kononenko, T. Zrimec, A. Sadikov, M. Bevk (2000) Current results of experiments with GDV images, Delovno poročilo, 11 strani, Laboratorij za umetno inteligenco, FRI, Ljubljana.

After 2000 not updated anymore.

E: Invited lectures and papers

E1. The Inductive Learning System Assistant Professional, Invited Lecture: IPSIG-Meeting "Inductive Systems", Berlin, 25th Nov.1988.
E2: Bayesove neuronske mreže i relacija sa umjetnom inteligencijom, Vabljeno predavanje, SRCE Zagreb, 15.3.1989.
E3: Naivni Bayesov klasifikator, Vabljeno predavanje v okviru kolokvijev ob sredah, IJS, 26.1.1994.
E4: On Bayesian neural networks, Invited paper, Informatica, Vol.18, pp.183-195, 1994. - PS - 0.6MB
E5: Overcoming the myopia when estimating attributes, Invited lecture, IBM Watson Research Center, Yorktown Heights, New York, U.S.A., August 28, 1995
E6. Naive Bayesian Classifier and its Extensions, Invited lecture, IBM Watson Research Center, Yorktown Heights, New York, U.S.A., August 28, 1995
E7. Machine learning for medical diagnosis, Invited lecture, In N. Lavrač (ed.) Proc. Workshop on Computer-aided data analysis in medicine, CADAM-95 (Bled, 28.Nov. 1995), pp.9-30 - PS
E8. I. Kononenko, Blaz Zupan (1999) Attribute mining: Evaluation, discretization, subset selection, and constructive induction, Proc. ICML-99 Workshop: From Machine Learning to Knowledge Discovery in Databases, Bled, 30. June 1999. - PS 0.5MB
E9. I.Kononenko: Machine learning and GDV images: current research, Invited lecture, University of Porto, Faculty of Sciences, Dept. of Computer Science. March 6, 2000
E10. I.Kononenko: Machine learning for medical diagnosis: History, state of the art and perspective, Invited paper, Artificial Intelligence in Medicine - ISSN 0933-3657, 2001, vol. 23, no. 1, pp. 89-109 - PDF
E11. I.Kononenko, T Zrimec: Using machine learning to analyse the GDV images: Current research and results, Invited Lecture, Proc.13th IFOAM Scientific Conference - ISBN 3-7281-2754-X, 28-31 August, 2000, p.304 - DOC.
E12. KONONENKO, Igor. Znanost preverja duhovnost = Science examines spirituality, Vabljeno predavanje. V: URBANČIČ, Klaudia (ur.), KLEMENC, Darinka (ur.). Spoznajmo komplementarno in naravno zdravilstvo tudi v zdravstveni negi : zbornik elankov s strokovnega sreeanja - 1. simpozija Društva medicinskih sester in zdravstvenih tehnikov Ljubljana, Kranjska gora, 4. decembra 2002. Ljubljana: Društvo medicinskih sester in zdravstvenih tehnikov, 2002, str. 131-137 - DOC.
E13. KONONENKO, Igor. Objective science and subjective spirituality are complementary. V: KONONENKO, Igor (ur.). Proceedings of measuring energy fields : international scientific conference, Kamnik, Tunjice, 13-14 October 2007. Kamnik: Zavod Zdravilni gaj, 2007, p. 117-124.
E14. KONONENKO, Igor. Science and spirituality are complementary : the same is true for scientific and holistic medicine. V: ICHM 2008 : [proceedings]. Kottayam: Institute for Holistic Medical Sciences Chathukulam Buildings Parumbaikadu, cop. 2008, p. 1-11.
E15. KONONENKO, Igor. Inteligenca in zavest = Intelligence and consciousness. V: OREL, Mojca (ur.), JURJEVČIČ, Stanislav (ur.). Nova vizija tehnologij prihodnosti = The new vision of future technologies. Polhov Gradec: Eduvision, 2014, f. 9-22.

F: Other lectures

F1. I.Bratko, I.Kononenko (1984) Tekoče raziskave na področju avtomatskega učenja, Seminar Laboratorija za umetno inteligenco (LUI), IJS, 1.2.1984 .
F2. I.Kononenko, T.Zrimec (1984) Uvod v računalništvo, Dvodnevni seminar ZOTKS, Ljubljana.
F3. I.Kononenko, E.Roškar, Demonstracija sistema ASISTENT, znanstveno tehnološki seminar Tehnologija umetne inteligence, IJS, april 1985 (dve ponovitvi)
F4. M.Gams, I.Kononenko, M.Grobelnik: Šola programiranja v prologu, Znanstveno tehnološki seminar Tehnologija umetne inteligence, IJS, april 1985 (2 ponovitvi)
F5. I.Bratko, I.Kononenko: Ekspertni sistemi in avtomatsko učenje, dvodnevni seminar DIR na Fakulteti za elektrotehniko v Ljubljani, maj-junij 1985 (2 ponovitvi)
F6. I.Bratko, N.Lavrač, I.Kononenko: Ekspertni sistemi in avtomatsko učenje, dvodnevni seminar v železarni Jesenice, junij 1985
F7. I.Kononenko, S.Hojker (1985) Predstavitev sistema ASISTENT in poskusi v domeni diagnosticiranja ščitnice, Klinika za nuklearno medicino, Ljubljana, 11.11.1985.
F8. N.Lavrač, I.Kononenko (1987) Terminologija programiranja v Prologu, Seminar LUI, IJS, februar 1987.
F9. Ocenjevanje uspešnosti sistemov za induktivno učenje, Seminar LUI, IJS, april 1987.
F10. I.Kononenko, I.Bratko : Evaluation of performance of inductive learning systems, 2nd European Working Session on Learning, Bled, May 1987
F11. Grupiranje po metodi maksimalne informativnosti, Seminar LUI, IJS, 9.6.1987
F12. I.Kononenko, A.Jauk, T.Janc (1988) Učenje zanesljivih odločitvenih pravil, Seminar LUI, IJS, junij 1988.
F13. Programski jezik PROLOG, ROJP 1988, Portorož, 7. oktober 1988
F14. Nevronske mreže, Seminar LUI, FE, 15.11.1988.
F15. Induction of New Knowledge Using Assistant Professional, One day seminar, Berlin, 24. Oct. 1988.
F16. Bayesove nevronske mreže, Seminar LUI, FE, 8.12.1988 (ponovitev v lab. za RSS, FE).
F17. Interpretacija odločitve nevronske mreže, Seminar LUI, FER, 24.1.1989.
F18. (A) Nevronske mreže in umetna inteligence, (B) Generalizacija v Bayesovih nevronskih mrežah, Seminar LUI, FER, 21.3.1989.
F19. V.Pirnat, I.Kononenko: Zdravniška analiza avtomatsko generiranih diagnostičnih pravil, Seminar LUI, IJS, 30.5.1989.
F20. ID3, zaporedni Bayes, naivni Bayes in Bayesove nevronske mreže, Seminar LUI, FER, 13.6.1989.
F21. Verjetnost in korelacija v nevronskih mrežah, Seminar LUI, FER, 22.8.1989.
F22. Zvezne Bayesove nevronske mreže, Seminar LUI, FER, 29.8.1989.
F23. Metoda za ocenjevanje infromacijske vsebine klasifikatorjevega odgovora, Seminar LUI, FER, 5.9.1989.
F24. I. Kononenko, I. Bratko: A method for assessing the informativity content of the classifier's answer, ISSEK Workshop, Udine, 7.-10. Sept. 1989.
F25. Bayesian learning in neural nets, ISSEK Workshop, Udine, 7.-10. Sept. 1989.
F26. Delno naivni Bayesov klasifikator, Seminar LUI FER, 27.3.1990
F27. I.Kononenko & M.Krisper (1990) Assistant Professional & aplikacije, Predavanje na RSNZ Ljubljana, 10.4.1990.
F28. Rezultati nekaterih seminarskih nalog iz umetne inteligence, Seminar LUI FER, 19.6.1990.
F29. Semi-naive Bayesian Classifier, ISSEK Workshop, Udine, 9. October 1990.
F30. Bayesove nevronske mreže, predavanje na koordinacijskem sestanku iz paralelnih sistemov in nevronskih mrež, IJS, 6.12.1990.
F31. Naivni Bayesov klasifikator in zvezni atributi, Seminar LUI FER, 10.1.1991
F32-33 Osnove teorije naučljivosti seminar LUI FER, 1.del: 24.3.1992, 2.del: 31.3.1992.
F34. Avtomatsko učenje in aplikacije, Poletna šola računalništva, FER, 15.6.1992
F35. Learning as optimization: stochastic generation of multiple knowledge, ISSEK Workshop, Bled, 3.9.1992.
F36. Naive Bayesian classifier and continuous attributes, Stochastic semi-naive Bayesian classifier, ISSEK Workshop, Bled, 4.9.1992
F37. Programming language PROLOG, Tempus project no.4724-92/1, FAGG, Ljubljana, 10.3.1993
F38. Avtomatsko učenje in aplikacije, Tempus project no.4724-92/1, FAGG, Ljubljana, 11.3.1993
F39. Critical summary of probabilistic approaches to induction, European Conf. on Machine Learning, Vienna, 5. April 1993.
F40. Extensions of naive Bayesian classifier, California institute of technology, Pasadena, CA, USA, June 6, 1993.
F41. Applications of machine learning by Ljubljana AI Labs, California Institute of technology, Pasadena, CA, USA, June 24, 1993.
F42. Ocenjevanje atributov: analiza in razširitve algoritma RELIEF, Seminar LUI FER, 5.10.1993.
F43. Naravno in avtomatsko učenje, Seminar LUI FER, 12.10.1993.
F44. On Biases in Estimating Multivalued Attributes, Seminar LUI FER, 17.1.1995.
F45. Avtomatsko učenje klasifikacije, Tempus seminar (4 ure), LUI-FER, 15.6.1995
F46. Metode in orodja strojnega učenja, Seminar ``Analiza podatkov in generiranje znanja iz medicinskih podatkovnih baz", Bled, 27. Nov. 1995
F47. M.Robnik-Šikonja, I.Kononenko (1996) Nekratkovitno ocenjevanje atributov v regresiji, Seminar LUI FRI, 30.2.1996
F48. I.Kononenko (1997) Machine Learning for Medical Diagnosis, Seminar: Selected topics in Medical Informatics, Ljubljana, 7.5.1997
F49. I.Kononenko, C.Groselj (1997) Controlling the sensitivity and specificity in the diagnostic of the ischeamic heart disease, Seminar Biomedical applications of computational logic and machine learning, Bled, 11. 11. 1997
F50. Bayesovska klasifikacija, Seminar: Odkrivanje znanja iz podatkov, Podgorica pri Ljubljani, 16.6. 1998.
F51. Dosedanji rezultati raziskav s Kirlianovo kamero, Seminar SLAIS, FRI, Ljubljana, 23.9.1999
F52. Dosedanji rezultati raziskav s Kirlianovo kamero, Sredin Seminar, Fakulteta za matematiko, Ljubljana, 29.9.1999
F53. Strojno učenje in slike GDV, Seminar SLAIS, FRI, 16.10.2000
F54. Preučevanje subtilnih energij s Kirlianovo kamero, Zavod za izobraževanje, vzgojo, razvoj in kulturo, Izpostava Nova Gorica, 8.11.2000
F55. Pregled dosedanjih raziskav s Kirlianovo kamero, Solomonov Seminar, IJS, 12.12.2000
F56. Predstavitev principa Kirlianovega efekta, ki omogoča zaznavanje subtilnih energij, Knjižnica Kamnik, 17.1.2001
F57. Pregled raziskav s Kirlianovo kamero. Knjižnica Velenje, 15.3.2001.
F58. Raziskave s Kirlianovo kamero, Kulturno društvo Nova Akropola, Ljubljana, 21.6.2002.
F59. Znanost preverja duhovnost, SLAIS seminar, IJS, 2002.
F60. Nekateri vidiki strojnega učenja, umetne inteligence in zavesti, FRI, 2002
F61. Znanost preverja duhovnost, FRI, 2002
F62. Znanost preverja duhovnost, 5. mednarodna multi-konferenca Informacijska dru"zba IS'2002, 14.-18.oktober 2002, 5th International Multi-Conference Information Society IS' 2002, 14-18th October 2002, Ljubljana, Slovenia. Ljubljana: Institut Jožef Stefan, 2002.
F63. Western medicina and healing. XVI. International conference on traditional, alternative and complementary medicine, Quito, September 2003.
F64. Experiences with the Kirlian camera. XVI. International conference on traditional, alternative and complementary medicine, Quito, October 2003.
F65. Umetna inteligenca & Povezava znanost-duhovnost, Poletna Psihošola, Ankaran, September 2003
F66. Znanost in duhovnost, Festival življenja, Vrbov log pri Krškem, November 2003
F67. Kirlianova fotografija; Academia-As-Asistent, Maribor, 28.2.2002.
F68. Preučevanje subtilnih energij s Kirlianovo kamero, Združenje bioenergetikov Slovenije, Vrhnika, 19.5.2001
F69. Preučevanje subtilnih energij s Kirlianovo kamero, Zavod Harmonija, Suša pri Hotavljah, 29.8.2001
F70. Preučevanje subtilnih energij s Kirlianovo kamero, 2. kongres KONAZ, 27.10.2001, Maribor.
F71-73. Naivni Bayesov klasifikator in Bayesove nevronske mreže, v okviru Zlate serije predavanj naj-doktoratov, FRI, vabljeno predavanje pri podiplomskem predmetu prof. Ivana Bratka, april 1001, april 2003, maj 2005.
F74-76. Znanost in duhovnost, Klub CDK, Zavod za izobra"zevanje, vzgojo, razvoj in kulturo, Izpostava Nova Gorica, 21.10.2004; Tabor Gozd Martuljek, avgust 2005; Vrbov log pri Krškem, avgust 2005
F77. Evaluating the quality of attributes, ACAI-05 summer school, July 2005, IJS, Ljubljana

After 2005 not updated anymore.

G: Reviewing

G1. 2nd European working session on learning, Bled, May 1987.
G2. 3rd European working session on learning, Glasgow, 3-5. October 1988.
G3. 10th Internat. Conf. Computer at the University, Cavtat, June 1988.
G4. 11th Internat. Conf. Computer at the University, Cavtat, 5-9 June 1989.
G5. Journal: Presek
G6. ETAN, Novi Sad, junij 1989
G7. Knjiga: N.Lavrac, T.Urbancic, B.Filipic (1989) Tehnologija ekspertnih sistemov, FER & ŠKUC Forum, Ljubljana.
G8. Internat. Conf. on Computing and Information, Toronto North, May 23-27 1989.
G9. Simpozijum Ostvarenja i primene veštačke inteligencije, Dubrovnik, 25.-27.10.1989.
G10. ETAN, Zagreb, junij 1990
G11. 12th Internat. Conf. Computer at the University, Cavtat, 5-9 June 1990.
G12. European Conference on Artificial Intelligence, Stockholm, August 1990
G13-14. Journal Informatica
G15. European Working Session on Learning, Porto, June 1991
G16. Journal: "Applied Intelligence: The Int.Journal of AI, neural networks and Complex problem solving methodologies"
G17. Journal "Applied Artificial Intelligence: An Int. Journal"
G18-22. Journal: "Applied Intelligence: The Int.Journal of AI, neural networks and Complex problem solving methodologies", članek: Looney et al.: Network Models for Cognition, 1991.
G23. ECCAI 1992: European Conference on Artificial Intelligence, Vienna, August 1992.
G24. Machine Learning 1992, Aberdeen, July 1992.
G25. Journal: "Applied Intelligence: The Int.Journal of AI, neural networks and Complex problem solving methodologies"
G26. ECML-93, Wien, April 1993.
G27. Journal: Elektrotehniški vestnik
G28. Journal: Informatica
G29-33. Journal: "Applied Intelligence: The Int.Journal of AI, neural networks and Complex problem solving methodologies"
G34. Journal: "Computational Intelligence: An International Journal".
G35. European Conference on Machine Learning ECML-94, Catania, Italy, April 1994.
G36. Journal: Journal of Computing and Information Technology.
G37. Machine learning and statistics, Workshop, Catania, Italy, April 1994.
G38. ECAI-94: European Conference on Artificial Intelligence, Amsterdam, August 1994.
G39-40. Journal: Informatica.
G41. 16th Intern.Conf. Information Technology Interfaces ITI'94, Pula, Croatia, June 1994.
G42-44.Journal: Applied Intelligence
G45. Journal: Artificial Intelligence
G46-47.Journal: Applied Artificial Intelligence
G48. Inductive Logic Programming Workshop ILP-94, Bonn, October 1994
G49. Journal: Machine learning
G50. Int.Workshop on Learning in Intelligent Manufacturing Systems, Budapest, April 1995
G51. ECML-95, Heraklion, April 1995.
G52-53. Journal: Machine Learning
G54. Journal: Applied Intelligence
G55. IJCAI-95, Montreal, Canada, August 1995
G56. ML-95, California, July 1995
G57. ILP-95, Leuven, Belgium, Sept. 1995
G58. 19th \" OAGM and 1st SDRV Workshop, Maribor, SLO, May 1995
G59. Journal Machine learning, 1995
G60. Journal Applied Intelligence; 1995
G61. PRICAI-96, Australia
G62. ICML-96, Bari, Italy, July 1996
G63. Journal Informatica, 1996
G64. IDAMAP-96, Budapest, August 1996
G65. PRICAI-96, Australia
G66. ITI-96, Pula
G67. Journal of Computing and Information Technology, 1996
G68. Journal Applied Intelligence, 1996
G69. Journal Applied Artificial Intelligence, 1996
G70. Journal Applied Artificial Intelligence, 1996
G71. Journal Machine Learning, 1996
G72. AIMED-97
G73. Revija Informatica, 1996
G74. Journal of Logic programming
G75. Revija Applied Intelligence, 1996
G76. ECML-97
G77. Journal Informatica, 1997
G78. Journal Journal of Artificial Intelligence, 1997
G79. Journal Machine Learning, 1997
G80-82. Journal Future Generation Computer Systems, 1997 (3X)
G83. IJCAI-97
G84. Book, FRI, 1997
G85. Elektrotehnični vestnik, 1997
G86. AI Journal 1997
G87. Journal Applied Intelligence, 1997
G88. Journal Elektrotehniški vestnik, 1997
G89. Textbook, FRI, 1997
G90. ECAI-98, Brighton
G91. Journal: AI Communications, 1997
G92. ICML-98, July 1998, Madison
G93 CADAM-98, Ljubljana
G93. AIMSA-98, Sozopol, Sept. 1998
G94. Journal: Applied Intelligence, 1998
G95. Journal: Applied Artificial Intelligence, 1998
G96. Journal: Applied Intelligence, 1999
G97. Journal: Machine Learning, 1998
G98. Journal: Informatica, 1998
G99. ECML98 Workshop on upgrading learning to the meta-level. 24. April 1998, Chemnitz.
G100. ECML98, April 1998, Chemnitz
G101. ICML-99 Workshop: From Machine Learning to Knowledge Discovery in Databases, Bled, 30. June 1999.
G102. Biology and Cognitive Science, Ljubljana, October 1999.
G103. The 16th International Conference on Machine Learning (ICML-99), Bled, 27-29 June 1999.
G104. Journal: Applied Intelligence, 1999
G105. Journal: Informatica, 1999
G106. Revija Applied Intelligence, 1999
G107. ECML-2000, Barcelona, May 2000
G108. ICML-2000, Stanford, July 2000
G109. FLAIRS-2001, Florida, May 2001
G110. ICML-2001, Williams College, MA, June/July 2001
G111. ITI-2000, Pula, June 2000
G112. 3rd Int. Conf. on Cognitive Science, Ljubljana, October 2000
G113. AIMSA 2000, Sofia, September 2000
G114. Revija Applied Intelligence, 2000
G115. Skripta FRI, 2000.

AFTER 2000 NOT UPDATED ANYMORE...

I: Magazine and newspaper articles

I1. Kratek oris knjige:"KARDIO : A study in deep and qualitative knowledge for expert systems", Novice, 3/90, Društvo za medicinsko in biološko tehniko Slovenije, FER, Ljubljana, april 1990.
I2. Kratek oris knjige:"Tehnologija ekspertnih sistemov" Novice, 3/90, Društvo za medicinsko in biološko tehniko Slovenije, FER, Ljubljana, april 1990.
I3. V.Pirnat, N.Lavrač, I.Kononenko (1990) Delo laboratorijev za umetno inteligenco IJS in FER na področju medicinskih ekspertnih sistemov, Novice, 3/90, Društvo za medicinsko in biološko tehniko Slovenije, FER, Ljubljana, april 1990.
I4. Umetne nevronske mreže, Novice, Društvo za medicinsko in biološko tehniko Slovenije, FER, Ljubljana, 1991.
I5. I.Kononenko, T.Urbančič: Poročilo z delavnice CADAM-97, Novice, Društvo za medicinsko in biološko tehniko Slovenije, FE, Ljubljana, 1997.
I6.Raziskovanje subtilnih energij s Kirlianovo kamero, DELO, Priloga ZNANOST, 12. 1. 2000, leto 42, st. 9, str. 15
I7. Dosedanji rezultati raziskav s Kirlianovo kamero pri nas, DELO, Priloga ZNANOST, 19. 1. 2000, leto 42, st. 15, str. 15
I8. Znanstveno preverjanje telekineze in telepatije, DELO, Priloga ZNANOST, 26. 1. 2000, leto 42, st. 21, str. 15
I9. Telo ve vse, Misteriji, 7(76)19-22, November 1999.
I12. Skrivnostno življenje rastlin, revija Življenje in tehnika, 51(3)28-31, marec 2000.
I14. Povečanje avre - Vpliv pitja vode iz navadnih kozarcev in Kozarcev 2000 na bioelektromagnetno polje (korone) ljudi, Misteriji, 51(5)23-24, 2000.
I15. Pogled v zdravje, Misteriji, 7(83)23-24, 2000.
I16. Nevidna resničnost, Aura, 131, 50-52, avgust 2000.
I17. Nevidna resničnost (2), Aura, 132, 50-52, september 2000.
I18. Novejši rezultati raziskav, Aura, 133, 50-51, oktober 2000.
I19. Sevanje mobilnih telefonov, Misteriji, 7(84)15-17, 2000.
I20. Poročilo s prvega dela omizja 'o psihični energiji', Aura, 130, str. 46, Julij 2000.
I22. Umetnost življenja, Radostno življenje, Misteriji, 8(91)19-21, Februar 2001
I23. Kineziološka diagnostika in zdravljenje z esencami, Pogovor s telesom, Misteriji, 8(91)33-35, Februar 2001
I24. So na"se misli sploh na"se?, Misteriji, 7(78)15-16, Januar 2000.
I25.Znanost v novi dobi, Sodobnost 66(1)107-114, januar 2002.
I26. Znanost in duhovnost, Sodobnost 66(2)259-264, februar 2002.
I27. Tao fizike. "Zivlj. teh., 2002, letn. 53, št. 6, str. 32-37.

AFTER 2002 NOT UPDATED ANYMORE...