Igor Kononenko

Description

Igor Kononenko received his Ph.D. in 1990 in computer science from University of Ljubljana, Slovenia. He is the professor at the Faculty of Computer and Information Science in Ljubljana (courses: Algorithms and data strucures 1, Artificial Intelligence, Intelligent Systems, Machine learning)" and the head of Laboratory for Cognitive Modeling. His research interests include artificial intelligence, machine learning, neural networks and cognitive modeling. He is the (co)author of about 210 papers and 10 textbooks. He is the member of the editorial board of Applied Intelligence Journal (Kluwer Ac. Publ.) and Informatica Journal, he was also twice a chair of program comitee of International cognitive conference in Ljubljana. Besides artificial intelligence he is interested also in natural intelligence: self-healing, complementary medicine, relation between science and spirituality and spiritual wisdom.

Prof. Kononenko is the coauthor of the book: MACHINE LEARNING AND DATA MINING: Introduction to Principles and Algorithms, published by Horwood Publishing in 2007 and the book TEACHERS OF WISDOM.

Classes

Laboratory

Laboratory for Cognitive Modeling, Head of Laboratory

Projects

Artificial intelligence and inteligent systems
ARRS research programmes01.01.2015 - 31.12.2020

Past projects

Artificial intelligence and inteligent systems
ARRS research programmes01.01.2009 - 31.12.2014
Integration of data mining and high-performance computer modeling for coronary artery disease
Bilateral projects01.01.2010 - 31.12.2011
Electricity load forecasting supported by prediction explanation and prediction reliability estimates
Bilateral projects01.01.2010 - 31.12.2011
Machine learning of imbalanced data
Bilateral projects01.01.2010 - 31.12.2011
Computer based modeling in bioinformatics for gene based cancer classification focused on reliability and machine learning
Bilateral projects01.01.2014 - 31.12.2015
Development of new e-learning models for game-based learning using mobile technologies
Bilateral projects01.04.2014 - 31.12.2015
Supervised and unsupervised learning from imbalanced datasets for assistance in movement of persons with low vision
Bilateral projects01.05.2014 - 31.12.2015
AGROIT - Increasing the efficiency of farming through on open standards based AgroIT platform
European projects(AGROIT), 01.03.2014 - 30.09.2016
Advancement of computationally Intensive methods for efficient modern general-purpose statistical analysis and inference
Research projects ARRS01.03.2016 - 28.02.2019

Publications

VRAČAR, Petar, ŠTRUMBELJ, Erik, KONONENKO, Igor. Automatic Attribute Construction for Basketball Modelling. Knowledge and Information Systems(KAIS) journal, 2019 (to appear).

PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Frequent subgraph mining in oceanographic multi-level directed graphs, International Journal of Geographical Information Science, 2019 (https://doi.org/10.1080/13658816.2019.1599124)

PEČNIK, Klemen, TODOROVIĆ, Vesna, BOŠNJAK, Maša, ČEMAŽAR, Maja, KONONENKO, Igor, SERŠA, Gregor, PLAVEC, Janez. The general explanation method with NMR spectroscopy enables the identification of metabolite profiles specific for normal and tumor cell lines. ChemBioChem, 2018, vol. 19, iss. 19, str. 2066-2071.

DROLE, Miha, KONONENKO, Igor. Pairwise saturations in inductive logic programming. Artificial intelligence review, 2017, vol. 47, no. 3, str. 395-415.

CANHASI, Ercan, KONONENKO, Igor. Weighted hierarchical archetypal analysis for multi-document summarization. Computer speech & language, 2016, vol. 37, str. 24-46.

VRAČAR, Petar, ŠTRUMBELJ, Erik, KONONENKO, Igor. Modelling basketball play-by-play data. Expert systems with applications, 2016, vol. 44, str. 58-66.

PEVEC, Darko, KONONENKO, Igor. Prediction intervals in supervised learning for model evaluation and discrimination. Applied intelligence, 2015, vol. 42, no. 4, str. 790-804.

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, 2014, vol. 34, str. 178-192.

PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Dynamic fuzzy paths and cycles in multi-level directed graphs. Engineering applications of artificial intelligence, 2014, vol. 37, str. 194-206.

VRAČAR, Petar, ŠTRUMBELJ, Erik, KONONENKO, Igor. Automatic Attribute Construction for Basketball Modelling. Knowledge and Information Systems(KAIS) journal, 2019 (to appear).

PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Frequent subgraph mining in oceanographic multi-level directed graphs, International Journal of Geographical Information Science, 2019 (https://doi.org/10.1080/13658816.2019.1599124)

PEČNIK, Klemen, TODOROVIĆ, Vesna, BOŠNJAK, Maša, ČEMAŽAR, Maja, KONONENKO, Igor, SERŠA, Gregor, PLAVEC, Janez. The general explanation method with NMR spectroscopy enables the identification of metabolite profiles specific for normal and tumor cell lines. ChemBioChem, 2018, vol. 19, iss. 19, str. 2066-2071.

DROLE, Miha, KONONENKO, Igor. Pairwise saturations in inductive logic programming. Artificial intelligence review, 2017, vol. 47, no. 3, str. 395-415.

CANHASI, Ercan, KONONENKO, Igor. Weighted hierarchical archetypal analysis for multi-document summarization. Computer speech & language, 2016, vol. 37, str. 24-46.

VRAČAR, Petar, ŠTRUMBELJ, Erik, KONONENKO, Igor. Modelling basketball play-by-play data. Expert systems with applications, 2016, vol. 44, str. 58-66.

PEVEC, Darko, KONONENKO, Igor. Prediction intervals in supervised learning for model evaluation and discrimination. Applied intelligence, 2015, vol. 42, no. 4, str. 790-804.

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, 2014, vol. 34, str. 178-192.

PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Dynamic fuzzy paths and cycles in multi-level directed graphs. Engineering applications of artificial intelligence, 2014, vol. 37, str. 194-206.

I.Kononenko, M.Kukar (2007) Machine learning and data mining : introduction to principles and algorithms. Chichester: Horwood Publishing, . XIX, 454 pages.

PETELIN, Boris, KONONENKO, Igor, MALAČIČ, Vlado, KUKAR, Matjaž. Multi-level association rules and directed graphs for spatial data analysis. Expert systems with applications, 2013, vol. 40, issue 12, str. 4957-4970.

CANHASI, Ercan, KONONENKO, Igor. Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization. Expert systems with applications, Feb. 2014, vol. 41, no. 2, str. 535-543.

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

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

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, Mar. 2012, vol. 16, no. 2, str. 248-254.

ŠTRUMBELJ, Erik, KONONENKO, Igor. An efficient explanation of individual classifications using game theory. Journal of machine learning research, ISSN 1532-4435. [Print ed.], Jan. 2010, vol. 11, no. [1], str. 1-18

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, Jun. 2011, vol. 52, no. 2, str. 77-90

M. Robnik Šikonja, I.Kononenko (2003) Theoretical and empirical analysis of ReliefF and RReliefF. Machine Learning. 53:23-69.

I.Kononenko (2001) Machine learning for medical diagnosis: History, state of the art and perspective, Invited paper, Artificial Intelligence in Medicine - ISSN 0933-3657, vol. 23, no. 1, pp. 89-109.

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.

BOSNIĆ, Zoran, KONONENKO, Igor. Comparison of approaches for estimating reliability of individual regression predictions. Data & Knowledge Engineering, Dec. 2008, vol. 67, no. 3, str. 504-516.

I. Kononenko (1993) Inductive and Bayesian learning in medical diagnosis, Applied Artificial Intelligence, Vol. 7, pp. 317-337.

I. Kononenko and I. Bratko (1991) Information based evaluation criterion for classifier's performance, Machine Learning Journal, Vol.6, pp.67-80

I. Kononenko (1989) Bayesian Neural Networks, Biological Cybernetics Journal Vol. 61, pp. 361-370.

B.Cestnik, I.Kononenko, I.Bratko (1987) ASSISTANT 86: A knowledge elicitation tool for sophisticated users, In: I.Bratko, N.Lavrač (eds.): 'Progress in machine learning', Sigma Press.