Igor Kononenko

According to our database1, Igor Kononenko authored at least 91 papers between 1987 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Explaining the Predictions of an Arbitrary Prediction Model: Feature Contributions and Quasi-nomograms.
Proceedings of the Human and Machine Learning, 2018

Early Machine Learning Research in Ljubljana.
Informatica (Slovenia), 2018

2017
Pairwise saturations in inductive logic programming.
Artif. Intell. Rev., 2017

2016
Closed world specialisation inside the induction process.
Intell. Data Anal., 2016

Modeling basketball play-by-play data.
Expert Syst. Appl., 2016

Weighted hierarchical archetypal analysis for multi-document summarization.
Computer Speech & Language, 2016

Obtaining structural descriptions of building façades.
Comput. Sci. Inf. Syst., 2016

2015
Dynamic fuzzy paths and cycles in multi-level directed graphs.
Eng. Appl. of AI, 2015

Prediction intervals in supervised learning for model evaluation and discrimination.
Appl. Intell., 2015

Learning from depth sensor data using inductive logic programming.
Proceedings of the XXV International Conference on Information, 2015

2014
Explaining prediction models and individual predictions with feature contributions.
Knowl. Inf. Syst., 2014

Multi-document summarization via Archetypal Analysis of the content-graph joint model.
Knowl. Inf. Syst., 2014

Visualization and Concept Drift Detection Using Explanations of Incremental Models.
Informatica (Slovenia), 2014

Input dependent prediction intervals for supervised regression.
Intell. Data Anal., 2014

Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization.
Expert Syst. Appl., 2014

Enhancing data stream predictions with reliability estimators and explanation.
Eng. Appl. of AI, 2014

Web user profiles with time-decay and prototyping.
Appl. Intell., 2014

2013
Explanation and Reliability of Individual Predictions.
Informatica (Slovenia), 2013

Efficiently explaining the predictions of a probabilistic radial basis function classification network.
Intell. Data Anal., 2013

Multi-level association rules and directed graphs for spatial data analysis.
Expert Syst. Appl., 2013

Selection method of the project management methodology and its application.
Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

2012
Mining Data From Hemodynamic Simulations for Generating Prediction and Explanation Models.
IEEE Trans. Information Technology in Biomedicine, 2012

Quality of classification explanations with PRBF.
Neurocomputing, 2012

Model Selection with Combining Valid and Optimal Prediction Intervals.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease.
Artificial Intelligence in Medicine, 2011

Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate.
Proceedings of the Man-Machine Interactions 2, 2011

A General Method for Visualizing and Explaining Black-Box Regression Models.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Evaluating Reliability of Single Classifications of Neural Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Reliability Estimates for Regression Predictions: Performance Analysis.
Proceedings of the Integrations of Data Warehousing, Data Mining and Database Technologies, 2011

2010
Automatic selection of reliability estimates for individual regression predictions.
Knowledge Eng. Review, 2010

Explanation and reliability of prediction models: the case of breast cancer recurrence.
Knowl. Inf. Syst., 2010

An Efficient Explanation of Individual Classifications using Game Theory.
Journal of Machine Learning Research, 2010

Correction of Regression Predictions Using the Secondary Learner on the Sensitivity Analysis Outputs.
Computing and Informatics, 2010

2009
Influence of Domain and Model Properties on the Reliability Estimates' Performance.
IJDWM, 2009

Extended Symbolic Mining of Textures with Association Rules.
Informatica (Slovenia), 2009

An overview of advances in reliability estimation of individual predictions in machine learning.
Intell. Data Anal., 2009

Explaining instance classifications with interactions of subsets of feature values.
Data Knowl. Eng., 2009

Learning Betting Tips from Users' Bet Selections.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2008
Explaining Classifications For Individual Instances.
IEEE Trans. Knowl. Data Eng., 2008

Multiresolution Image Parametrization for Improving Texture Classification.
EURASIP J. Adv. Sig. Proc., 2008

Comparison of approaches for estimating reliability of individual regression predictions.
Data Knowl. Eng., 2008

Estimation of individual prediction reliability using the local sensitivity analysis.
Appl. Intell., 2008

Towards a Model Independent Method for Explaining Classification for Individual Instances.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Empirical Analysis of Reliability Estimates for Individual Regression Predictions.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

2007
Computerized segmentation and diagnostics of whole-body bone scintigrams.
Comp. Med. Imag. and Graph., 2007

2006
Towards symbolic mining of images with association rules: Preliminary results on textures.
Intell. Data Anal., 2006

2005
Bias and pathology in minimax search.
Theor. Comput. Sci., 2005

Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics.
Computer Methods and Programs in Biomedicine, 2005

Estimation of Prediction Reliability in Regression Based on a Transductive Approach.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

GDV Measures Vitality?
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics.
Proceedings of the Artificial Intelligence in Medicine, 2005

2003
Theoretical and Empirical Analysis of ReliefF and RReliefF.
Machine Learning, 2003

Comprehensible evaluation of prognostic factors and prediction of wound healing.
Artificial Intelligence in Medicine, 2003

Search versus Knowledge: An Empirical Study of Minimax on KRK.
Proceedings of the Advances in Computer Games, 2003

2002
Reliable Classifications with Machine Learning.
Proceedings of the Machine Learning: ECML 2002, 2002

A Statistical Approach to Texture Description of Medical Images: A Preliminary Study.
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001
Machine learning for medical diagnosis: history, state of the art and perspective.
Artificial Intelligence in Medicine, 2001

Comprehensible Interpretation of Relief's Estimates.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools.
Proceedings of the Artificial Intelligence Medicine, 2001

1999
Analysing and improving the diagnosis of ischaemic heart disease with machine learning.
Artificial Intelligence in Medicine, 1999

Attribute Dependencies, Understandability and Split Selection in Tree Based Models.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Efficient Derivation of the Optimal Assembly Sequence from Product Description.
Cybernetics and Systems, 1998

Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.
AI Commun., 1998

Efficient Induction and Effective Use of First-Order Knowledge.
Applied Artificial Intelligence, 1998

The Minimum Description Length Based Decision Tree Pruning.
Proceedings of the PRICAI'98, 1998

Pruning Regression Trees with MDL.
ECAI, 1998

Cost-Sensitive Learning with Neural Networks.
ECAI, 1998

1997
Attribute selection for modelling.
Future Generation Comp. Syst., 1997

Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF.
Appl. Intell., 1997

Probabilistic First-Order Classification.
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

An adaptation of Relief for attribute estimation in regression.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Diagnosis of sport injuries with machine learning: explanation of induced decisions.
Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97), 1997

An application of machine learning in the diagnosis of ischaemic heart disease.
Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97), 1997

Machine Learning Applied to Diagnosis of Sport Injuries.
Proceedings of the Artificial Intelligence Medicine, 1997

An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease.
Proceedings of the Artificial Intelligence Medicine, 1997

1996
On Facts Versus Misconceptions about Rough Sets.
Informatica (Slovenia), 1996

Machine learning in prognosis of the femoral neck fracture recovery.
Artificial Intelligence in Medicine, 1996

Attribute-Based Learning.
AI Commun., 1996

1995
On Biases in Estimating Multi-Valued Attributes.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
Critical Analysis of Rough Sets Approach to Machine Learning.
Informatica (Slovenia), 1994

On Bayesian Neural Networks.
Informatica (Slovenia), 1994

Estimating Attributes: Analysis and Extensions of RELIEF.
Proceedings of the Machine Learning: ECML-94, 1994

1993
Successive Naive Bayesian Classifier.
Informatica (Slovenia), 1993

Inductive and Bayesian learning in medical diagnosis.
Applied Artificial Intelligence, 1993

1992
Learning as Optimization: Stochastic Generation of Multiple Knowledge.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Combining Decisions of Multiple Rules.
Proceedings of the Artificial Intelligence V: Methodology, Systems, Applications, 1992

1991
Information-Based Evaluation Criterion for Classifier's Performance.
Machine Learning, 1991

Semi-Naive Bayesian Classifier.
Proceedings of the Machine Learning, 1991

1989
Medical Analysis of Automatically Induced Diagnostic Rules.
Proceedings of the AIME 89, 1989

1987
ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users.
Proceedings of the Progress in Machine Learning, 1987


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