Igor Kononenko

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 11

Top Topics

Inductive Logic Programming

Top Venues

Expert Syst. Appl.

Knowl. Inf. Syst.

Intell. Data Anal.

Informatica (Slovenia)

Publications

Vladimir Kurbalija, Zoltan Geler, Tijana Vujanic Stankov, Igor Petrusic, Mirjana Ivanovic, Igor Kononenko, Marija Semnic, Marko Dakovic, Robert Semnic, Zoran Bosnic
Analysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairment. Int. J. Medical Informatics 178 (2023)
Marko Zeman, Jana Faganeli Pucer, Igor Kononenko, Zoran Bosnic
SuperFormer: Continual learning superposition method for text classification. Neural Networks 161 (2023)
Ales Papic, Igor Kononenko, Zoran Bosnic
Conditional generative positive and unlabeled learning. Expert Syst. Appl. 224 (2023)
Petar Vracar, Erik Strumbelj, Igor Kononenko
Automatic attribute construction for basketball modelling. Knowl. Inf. Syst. 62 (2) (2020)
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
Frequent subgraph mining in oceanographic multi-level directed graphs. Int. J. Geogr. Inf. Sci. 33 (10) (2019)
Igor Kononenko
Early Machine Learning Research in Ljubljana. Informatica (Slovenia) 42 (1) (2018)
Miha Drole, Igor Kononenko
Pairwise saturations in inductive logic programming. Artif. Intell. Rev. 47 (3) (2017)
Petar Vracar, Erik Strumbelj, Igor Kononenko
Modeling basketball play-by-play data. Expert Syst. Appl. 44 (2016)
Petar Vracar, Igor Kononenko, Marko Robnik-Sikonja
Obtaining structural descriptions of building façades. Comput. Sci. Inf. Syst. 13 (1) (2016)
Miha Drole, Igor Kononenko
Closed world specialisation inside the induction process. Intell. Data Anal. 20 (4) (2016)
Ercan Canhasi, Igor Kononenko
Weighted hierarchical archetypal analysis for multi-document summarization. Comput. Speech Lang. 37 (2016)
Darko Pevec, Igor Kononenko
Prediction intervals in supervised learning for model evaluation and discrimination. Appl. Intell. 42 (4) (2015)
Miha Drole, Petar Vracar, Ante Panjkota, Ivo Stancic, Josip Music, Igor Kononenko, Matjaz Kukar
Learning from depth sensor data using inductive logic programming. ICAT (2015)
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
Dynamic fuzzy paths and cycles in multi-level directed graphs. Eng. Appl. Artif. Intell. 37 (2015)
Zoran Bosnic, Jaka Demsar, Grega Kespret, Pedro Pereira Rodrigues, João Gama, Igor Kononenko
Enhancing data stream predictions with reliability estimators and explanation. Eng. Appl. Artif. Intell. 34 (2014)
Darko Pevec, Igor Kononenko
Input dependent prediction intervals for supervised regression. Intell. Data Anal. 18 (5) (2014)
Janez Demsar, Zoran Bosnic, Igor Kononenko
Visualization and Concept Drift Detection Using Explanations of Incremental Models. Informatica (Slovenia) 38 (4) (2014)
Ercan Canhasi, Igor Kononenko
Multi-document summarization via Archetypal Analysis of the content-graph joint model. Knowl. Inf. Syst. 41 (3) (2014)
Erik Strumbelj, Igor Kononenko
Explaining prediction models and individual predictions with feature contributions. Knowl. Inf. Syst. 41 (3) (2014)
Ercan Canhasi, Igor Kononenko
Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization. Expert Syst. Appl. 41 (2) (2014)
Domen Kosir, Igor Kononenko, Zoran Bosnic
Web user profiles with time-decay and prototyping. Appl. Intell. 41 (4) (2014)
Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko
Efficiently explaining the predictions of a probabilistic radial basis function classification network. Intell. Data Anal. 17 (5) (2013)
Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja
Explanation and Reliability of Individual Predictions. Informatica (Slovenia) 37 (1) (2013)
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
Multi-level association rules and directed graphs for spatial data analysis. Expert Syst. Appl. 40 (12) (2013)
Zoran Bosnic, Petar Vracar, Milos D. Radovic, Goran Devedzic, Nenad D. Filipovic, Igor Kononenko
Mining Data From Hemodynamic Simulations for Generating Prediction and Explanation Models. IEEE Trans. Inf. Technol. Biomed. 16 (2) (2012)
Marko Robnik-Sikonja, Igor Kononenko, Erik Strumbelj
Quality of classification explanations with PRBF. Neurocomputing 96 (2012)
Darko Pevec, Igor Kononenko
Model Selection with Combining Valid and Optimal Prediction Intervals. ICDM Workshops (2012)
Matjaz Kukar, Igor Kononenko, Ciril Groselj
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease. Artif. Intell. Medicine 52 (2) (2011)
Erik Strumbelj, Igor Kononenko
A General Method for Visualizing and Explaining Black-Box Regression Models. ICANNGA (2) (2011)
Darko Pevec, Erik Strumbelj, Igor Kononenko
Evaluating Reliability of Single Classifications of Neural Networks. ICANNGA (1) (2011)
Zoran Bosnic, Pedro Pereira Rodrigues, Igor Kononenko, João Gama
Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate. ICMMI (2011)
Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) (2011)
Zoran Bosnic, Igor Kononenko
Automatic selection of reliability estimates for individual regression predictions. Knowl. Eng. Rev. 25 (1) (2010)
Zoran Bosnic, Igor Kononenko
Correction of Regression Predictions Using the Secondary Learner on the Sensitivity Analysis Outputs. Comput. Informatics 29 (6) (2010)
Erik Strumbelj, Zoran Bosnic, Igor Kononenko, Branko Zakotnik, Cvetka Grasic Kuhar
Explanation and reliability of prediction models: the case of breast cancer recurrence. Knowl. Inf. Syst. 24 (2) (2010)
Erik Strumbelj, Igor Kononenko
An Efficient Explanation of Individual Classifications using Game Theory. J. Mach. Learn. Res. 11 (2010)
Zoran Bosnic, Igor Kononenko
Influence of Domain and Model Properties on the Reliability Estimates' Performance. Int. J. Data Warehous. Min. 5 (4) (2009)
Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko
Learning Betting Tips from Users' Bet Selections. MLDM (2009)
Igor Kononenko, Matjaz Bevk
Extended Symbolic Mining of Textures with Association Rules. Informatica (Slovenia) 33 (4) (2009)
Erik Strumbelj, Igor Kononenko, Marko Robnik-Sikonja
Explaining instance classifications with interactions of subsets of feature values. Data Knowl. Eng. 68 (10) (2009)
Zoran Bosnic, Igor Kononenko
An overview of advances in reliability estimation of individual predictions in machine learning. Intell. Data Anal. 13 (2) (2009)
Zoran Bosnic, Igor Kononenko
Empirical Analysis of Reliability Estimates for Individual Regression Predictions. DaWaK (2008)
Marko Robnik-Sikonja, Igor Kononenko
Explaining Classifications For Individual Instances. IEEE Trans. Knowl. Data Eng. 20 (5) (2008)
Zoran Bosnic, Igor Kononenko
Estimation of individual prediction reliability using the local sensitivity analysis. Appl. Intell. 29 (3) (2008)
Erik Strumbelj, Igor Kononenko
Towards a Model Independent Method for Explaining Classification for Individual Instances. DaWaK (2008)
Luka Sajn, Igor Kononenko
Multiresolution Image Parametrization for Improving Texture Classification. EURASIP J. Adv. Signal Process. 2008 (2008)
Zoran Bosnic, Igor Kononenko
Comparison of approaches for estimating reliability of individual regression predictions. Data Knowl. Eng. 67 (3) (2008)
Luka Sajn, Igor Kononenko, Metka Milcinski
Computerized segmentation and diagnostics of whole-body bone scintigrams. Comput. Medical Imaging Graph. 31 (7) (2007)
Matjaz Bevk, Igor Kononenko
Towards symbolic mining of images with association rules: Preliminary results on textures. Intell. Data Anal. 10 (4) (2006)
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. AIME (2005)
Igor Kononenko, Miha Sedej, Aleksander Sadikov
GDV Measures Vitality? CBMS (2005)
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. Comput. Methods Programs Biomed. 80 (1) (2005)
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
Bias and pathology in minimax search. Theor. Comput. Sci. 349 (2) (2005)
Zoran Bosnic, Igor Kononenko
Estimation of Prediction Reliability in Regression Based on a Transductive Approach. IICAI (2005)
Marko Robnik-Sikonja, Igor Kononenko
Theoretical and Empirical Analysis of ReliefF and RReliefF. Mach. Learn. 53 (1-2) (2003)
Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
Comprehensible evaluation of prognostic factors and prediction of wound healing. Artif. Intell. Medicine 29 (1-2) (2003)
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
Search versus Knowledge: An Empirical Study of Minimax on KRK. ACG (2003)
Matjaz Bevk, Igor Kononenko
A Statistical Approach to Texture Description of Medical Images: A Preliminary Study. CBMS (2002)
Matjaz Kukar, Igor Kononenko
Reliable Classifications with Machine Learning. ECML (2002)
Igor Kononenko
Machine learning for medical diagnosis: history, state of the art and perspective. Artif. Intell. Medicine 23 (1) (2001)
Marko Robnik-Sikonja, Igor Kononenko
Comprehensible Interpretation of Relief's Estimates. ICML (2001)
Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. AIME (2001)
Marko Robnik-Sikonja, Igor Kononenko
Attribute Dependencies, Understandability and Split Selection in Tree Based Models. ICML (1999)
Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich
Analysing and improving the diagnosis of ischaemic heart disease with machine learning. Artif. Intell. Medicine 16 (1) (1999)
Marko Robnik-Sikonja, Igor Kononenko
Pruning Regression Trees with MDL. ECAI (1998)
Igor Kononenko
The Minimum Description Length Based Decision Tree Pruning. PRICAI (1998)
Uros Pompe, Igor Kononenko
Efficient Induction and Effective Use of First-Order Knowledge. Appl. Artif. Intell. 12 (5) (1998)
Matjaz Kukar, Igor Kononenko
Cost-Sensitive Learning with Neural Networks. ECAI (1998)
Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. AI Commun. 11 (3-4) (1998)
Samo Zorc, D. Noe, Igor Kononenko
Efficient Derivation of the Optimal Assembly Sequence from Product Description. Cybern. Syst. 29 (2) (1998)
Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
Diagnosis of sport injuries with machine learning: explanation of induced decisions. CBMS (1997)
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
An application of machine learning in the diagnosis of ischaemic heart disease. CBMS (1997)
Igor Kononenko, Edvard Simec, Marko Robnik-Sikonja
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. Appl. Intell. 7 (1) (1997)
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. AIME (1997)
Marko Robnik-Sikonja, Igor Kononenko
An adaptation of Relief for attribute estimation in regression. ICML (1997)
Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
Machine Learning Applied to Diagnosis of Sport Injuries. AIME (1997)
Uros Pompe, Igor Kononenko
Probabilistic First-Order Classification. ILP (1997)
Igor Kononenko, Se June Hong
Attribute selection for modelling. Future Gener. Comput. Syst. 13 (2-3) (1997)
Matjaz Kukar, Igor Kononenko, T. Silvester
Machine learning in prognosis of the femoral neck fracture recovery. Artif. Intell. Medicine 8 (5) (1996)
Igor Kononenko
On Facts Versus Misconceptions about Rough Sets. Informatica (Slovenia) 20 (4) (1996)
Ivan Bratko, Bojan Cestnik, Igor Kononenko
Attribute-Based Learning. AI Commun. 9 (1) (1996)
Igor Kononenko
On Biases in Estimating Multi-Valued Attributes. IJCAI (1995)
Igor Kononenko
On Bayesian Neural Networks. Informatica (Slovenia) 18 (2) (1994)
Igor Kononenko
Estimating Attributes: Analysis and Extensions of RELIEF. ECML (1994)
Igor Kononenko, Samo Zorc
Critical Analysis of Rough Sets Approach to Machine Learning. Informatica (Slovenia) 18 (3) (1994)
Igor Kononenko
Inductive and Bayesian learning in medical diagnosis. Appl. Artif. Intell. 7 (4) (1993)
Igor Kononenko
Successive Naive Bayesian Classifier. Informatica (Slovenia) 17 (2) (1993)
Igor Kononenko, Matevz Kovacic
Learning as Optimization: Stochastic Generation of Multiple Knowledge. ML (1992)
Igor Kononenko
Combining Decisions of Multiple Rules. AIMSA (1992)
Igor Kononenko
Semi-Naive Bayesian Classifier. EWSL (1991)
Igor Kononenko, Ivan Bratko
Information-Based Evaluation Criterion for Classifier's Performance. Mach. Learn. 6 (1991)
Vladimir Pirnat, Igor Kononenko, T. Janc, Ivan Bratko
Medical Analysis of Automatically Induced Diagnostic Rules. AIME (1989)
Bojan Cestnik, Igor Kononenko, Ivan Bratko
ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users. EWSL (1987)