Igor Kononenko

95 papers A* 4A 2B 13Misc 1Journal 59Unranked 14
YearRankTypeTitle / Venue / Authors
2023 J jnl
Analysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairment.
Int. J. Medical Informatics
Vladimir Kurbalija, Zoltan Geler, Tijana Vujanic Stankov, Igor Petrusic, Mirjana Ivanovic, Igor Kononenko, Marija Semnic, Marko Dakovic, Robert Semnic, Zoran Bosnic
2023 J jnl
Conditional generative positive and unlabeled learning.
Expert Syst. Appl.
Ales Papic, Igor Kononenko, Zoran Bosnic
2023 J jnl
SuperFormer: Continual learning superposition method for text classification.
Neural Networks
Marko Zeman, Jana Faganeli Pucer, Igor Kononenko, Zoran Bosnic
2020 J jnl
Automatic attribute construction for basketball modelling.
Knowl. Inf. Syst.
Petar Vracar, Erik Strumbelj, Igor Kononenko
2019 J jnl
Frequent subgraph mining in oceanographic multi-level directed graphs.
Int. J. Geogr. Inf. Sci.
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
2018 J jnl
Early Machine Learning Research in Ljubljana.
Informatica (Slovenia)
Igor Kononenko
2018 — ch.
Explaining the Predictions of an Arbitrary Prediction Model: Feature Contributions and Quasi-nomograms.
Human and Machine Learning
Erik Strumbelj, Igor Kononenko
2017 J jnl
Pairwise saturations in inductive logic programming.
Artif. Intell. Rev.
Miha Drole, Igor Kononenko
2016 J jnl
Closed world specialisation inside the induction process.
Intell. Data Anal.
Miha Drole, Igor Kononenko
2016 J jnl
Modeling basketball play-by-play data.
Expert Syst. Appl.
Petar Vracar, Erik Strumbelj, Igor Kononenko
2016 J jnl
Obtaining structural descriptions of building façades.
Comput. Sci. Inf. Syst.
Petar Vracar, Igor Kononenko, Marko Robnik-Sikonja
2016 J jnl
Weighted hierarchical archetypal analysis for multi-document summarization.
Comput. Speech Lang.
Ercan Canhasi, Igor Kononenko
2015 J jnl
Dynamic fuzzy paths and cycles in multi-level directed graphs.
Eng. Appl. Artif. Intell.
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
2015 — conf
Learning from depth sensor data using inductive logic programming.
ICAT
Miha Drole, Petar Vracar, Ante Panjkota, Ivo Stancic, Josip Music, Igor Kononenko, Matjaz Kukar
2015 J jnl
Prediction intervals in supervised learning for model evaluation and discrimination.
Appl. Intell.
Darko Pevec, Igor Kononenko
2014 J jnl
Enhancing data stream predictions with reliability estimators and explanation.
Eng. Appl. Artif. Intell.
Zoran Bosnic, Jaka Demsar, Grega Kespret, Pedro Pereira Rodrigues, João Gama, Igor Kononenko
2014 J jnl
Explaining prediction models and individual predictions with feature contributions.
Knowl. Inf. Syst.
Erik Strumbelj, Igor Kononenko
2014 J jnl
Input dependent prediction intervals for supervised regression.
Intell. Data Anal.
Darko Pevec, Igor Kononenko
2014 J jnl
Multi-document summarization via Archetypal Analysis of the content-graph joint model.
Knowl. Inf. Syst.
Ercan Canhasi, Igor Kononenko
2014 J jnl
Visualization and Concept Drift Detection Using Explanations of Incremental Models.
Informatica (Slovenia)
Janez Demsar, Zoran Bosnic, Igor Kononenko
2014 J jnl
Web user profiles with time-decay and prototyping.
Appl. Intell.
Domen Kosir, Igor Kononenko, Zoran Bosnic
2014 J jnl
Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization.
Expert Syst. Appl.
Ercan Canhasi, Igor Kononenko
2013 J jnl
Efficiently explaining the predictions of a probabilistic radial basis function classification network.
Intell. Data Anal.
Marko Robnik-Sikonja, Erik Strumbelj, Igor Kononenko
2013 J jnl
Explanation and Reliability of Individual Predictions.
Informatica (Slovenia)
Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja
2013 J jnl
Multi-level association rules and directed graphs for spatial data analysis.
Expert Syst. Appl.
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
2012 J jnl
Mining Data From Hemodynamic Simulations for Generating Prediction and Explanation Models.
IEEE Trans. Inf. Technol. Biomed.
Zoran Bosnic, Petar Vracar, Milos D. Radovic, Goran Devedzic, Nenad D. Filipovic, Igor Kononenko
2012 — conf
Model Selection with Combining Valid and Optimal Prediction Intervals.
ICDM Workshops
Darko Pevec, Igor Kononenko
2012 J jnl
Quality of classification explanations with PRBF.
Neurocomputing
Marko Robnik-Sikonja, Igor Kononenko, Erik Strumbelj
2011 — conf
A General Method for Visualizing and Explaining Black-Box Regression Models.
ICANNGA (2)
Erik Strumbelj, Igor Kononenko
2011 — conf
Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate.
ICMMI
Zoran Bosnic, Pedro Pereira Rodrigues, Igor Kononenko, João Gama
2011 — conf
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.
ICANNGA (1)
Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj
2011 — conf
Evaluating Reliability of Single Classifications of Neural Networks.
ICANNGA (1)
Darko Pevec, Erik Strumbelj, Igor Kononenko
2011 J jnl
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease.
Artif. Intell. Medicine
Matjaz Kukar, Igor Kononenko, Ciril Groselj
2011 — ch.
Reliability Estimates for Regression Predictions: Performance Analysis.
Integrations of Data Warehousing, Data Mining and Database Technologies
Zoran Bosnic, Igor Kononenko
2010 J jnl
An Efficient Explanation of Individual Classifications using Game Theory.
J. Mach. Learn. Res.
Erik Strumbelj, Igor Kononenko
2010 J jnl
Automatic selection of reliability estimates for individual regression predictions.
Knowl. Eng. Rev.
Zoran Bosnic, Igor Kononenko
2010 J jnl
Correction of Regression Predictions Using the Secondary Learner on the Sensitivity Analysis Outputs.
Comput. Informatics
Zoran Bosnic, Igor Kononenko
2010 J jnl
Explanation and reliability of prediction models: the case of breast cancer recurrence.
Knowl. Inf. Syst.
Erik Strumbelj, Zoran Bosnic, Igor Kononenko, Branko Zakotnik, Cvetka Grasic Kuhar
2009 J jnl
An overview of advances in reliability estimation of individual predictions in machine learning.
Intell. Data Anal.
Zoran Bosnic, Igor Kononenko
2009 J jnl
Explaining instance classifications with interactions of subsets of feature values.
Data Knowl. Eng.
Erik Strumbelj, Igor Kononenko, Marko Robnik-Sikonja
2009 J jnl
Extended Symbolic Mining of Textures with Association Rules.
Informatica (Slovenia)
Igor Kononenko, Matjaz Bevk
2009 J jnl
Influence of Domain and Model Properties on the Reliability Estimates' Performance.
Int. J. Data Warehous. Min.
Zoran Bosnic, Igor Kononenko
2009 — conf
Learning Betting Tips from Users' Bet Selections.
MLDM
Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko
2008 J jnl
Comparison of approaches for estimating reliability of individual regression predictions.
Data Knowl. Eng.
Zoran Bosnic, Igor Kononenko
2008 B conf
Empirical Analysis of Reliability Estimates for Individual Regression Predictions.
DaWaK
Zoran Bosnic, Igor Kononenko
2008 J jnl
Estimation of individual prediction reliability using the local sensitivity analysis.
Appl. Intell.
Zoran Bosnic, Igor Kononenko
2008 J jnl
Explaining Classifications For Individual Instances.
IEEE Trans. Knowl. Data Eng.
Marko Robnik-Sikonja, Igor Kononenko
2008 J jnl
Multiresolution Image Parametrization for Improving Texture Classification.
EURASIP J. Adv. Signal Process.
Luka Sajn, Igor Kononenko
2008 B conf
Towards a Model Independent Method for Explaining Classification for Individual Instances.
DaWaK
Erik Strumbelj, Igor Kononenko
2007 J jnl
Computerized segmentation and diagnostics of whole-body bone scintigrams.
Comput. Medical Imaging Graph.
Luka Sajn, Igor Kononenko, Metka Milcinski
2006 J jnl
Towards symbolic mining of images with association rules: Preliminary results on textures.
Intell. Data Anal.
Matjaz Bevk, Igor Kononenko
2005 B conf
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics.
AIME
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
2005 J jnl
Bias and pathology in minimax search.
Theor. Comput. Sci.
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
2005 J jnl
Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics.
Comput. Methods Programs Biomed.
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
2005 — conf
Estimation of Prediction Reliability in Regression Based on a Transductive Approach.
IICAI
Zoran Bosnic, Igor Kononenko
2005 B conf
GDV Measures Vitality?
CBMS
Igor Kononenko, Miha Sedej, Aleksander Sadikov
2003 J jnl
Comprehensible evaluation of prognostic factors and prediction of wound healing.
Artif. Intell. Medicine
Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
2003 — conf
Search versus Knowledge: An Empirical Study of Minimax on KRK.
ACG
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
2003 J jnl
Theoretical and Empirical Analysis of ReliefF and RReliefF.
Mach. Learn.
Marko Robnik-Sikonja, Igor Kononenko
2002 B conf
A Statistical Approach to Texture Description of Medical Images: A Preliminary Study.
CBMS
Matjaz Bevk, Igor Kononenko
2002 — conf
Reliable Classifications with Machine Learning.
ECML
Matjaz Kukar, Igor Kononenko
2001 A* conf
Comprehensible Interpretation of Relief's Estimates.
ICML
Marko Robnik-Sikonja, Igor Kononenko
2001 B conf
Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools.
AIME
Marko Robnik-Sikonja, David Cukjati, Igor Kononenko
2001 J jnl
Machine learning for medical diagnosis: history, state of the art and perspective.
Artif. Intell. Medicine
Igor Kononenko
1999 J jnl
Analysing and improving the diagnosis of ischaemic heart disease with machine learning.
Artif. Intell. Medicine
Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich
1999 A* conf
Attribute Dependencies, Understandability and Split Selection in Tree Based Models.
ICML
Marko Robnik-Sikonja, Igor Kononenko
1998 A conf
Cost-Sensitive Learning with Neural Networks.
ECAI
Matjaz Kukar, Igor Kononenko
1998 J jnl
Efficient Derivation of the Optimal Assembly Sequence from Product Description.
Cybern. Syst.
Samo Zorc, D. Noe, Igor Kononenko
1998 J jnl
Efficient Induction and Effective Use of First-Order Knowledge.
Appl. Artif. Intell.
Uros Pompe, Igor Kononenko
1998 J jnl
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.
AI Commun.
Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
1998 A conf
Pruning Regression Trees with MDL.
ECAI
Marko Robnik-Sikonja, Igor Kononenko
1998 B conf
The Minimum Description Length Based Decision Tree Pruning.
PRICAI
Igor Kononenko
1997 B conf
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease.
AIME
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
1997 A* conf
An adaptation of Relief for attribute estimation in regression.
ICML
Marko Robnik-Sikonja, Igor Kononenko
1997 B conf
An application of machine learning in the diagnosis of ischaemic heart disease.
CBMS
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
1997 J jnl
Attribute selection for modelling.
Future Gener. Comput. Syst.
Igor Kononenko, Se June Hong
1997 B conf
Diagnosis of sport injuries with machine learning: explanation of induced decisions.
CBMS
Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
1997 B conf
Machine Learning Applied to Diagnosis of Sport Injuries.
AIME
Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga
1997 J jnl
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF.
Appl. Intell.
Igor Kononenko, Edvard Simec, Marko Robnik-Sikonja
1997 B conf
Probabilistic First-Order Classification.
ILP
Uros Pompe, Igor Kononenko
1996 J jnl
Attribute-Based Learning.
AI Commun.
Ivan Bratko, Bojan Cestnik, Igor Kononenko
1996 J jnl
Machine learning in prognosis of the femoral neck fracture recovery.
Artif. Intell. Medicine
Matjaz Kukar, Igor Kononenko, T. Silvester
1996 J jnl
On Facts Versus Misconceptions about Rough Sets.
Informatica (Slovenia)
Igor Kononenko
1995 A* conf
On Biases in Estimating Multi-Valued Attributes.
IJCAI
Igor Kononenko
1994 J jnl
Critical Analysis of Rough Sets Approach to Machine Learning.
Informatica (Slovenia)
Igor Kononenko, Samo Zorc
1994 — conf
Estimating Attributes: Analysis and Extensions of RELIEF.
ECML
Igor Kononenko
1994 J jnl
On Bayesian Neural Networks.
Informatica (Slovenia)
Igor Kononenko
1993 J jnl
Inductive and Bayesian learning in medical diagnosis.
Appl. Artif. Intell.
Igor Kononenko
1993 J jnl
Successive Naive Bayesian Classifier.
Informatica (Slovenia)
Igor Kononenko
1992 Misc conf
Combining Decisions of Multiple Rules.
AIMSA
Igor Kononenko
1992 — conf
Learning as Optimization: Stochastic Generation of Multiple Knowledge.
ML
Igor Kononenko, Matevz Kovacic
1991 J jnl
Information-Based Evaluation Criterion for Classifier's Performance.
Mach. Learn.
Igor Kononenko, Ivan Bratko
1991 — conf
Semi-Naive Bayesian Classifier.
EWSL
Igor Kononenko
1989 B conf
Medical Analysis of Automatically Induced Diagnostic Rules.
AIME
Vladimir Pirnat, Igor Kononenko, T. Janc, Ivan Bratko
1987 — conf
ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users.
EWSL
Bojan Cestnik, Igor Kononenko, Ivan Bratko