Igor Kononenko

Igor Kononenko, Anna Kharazii, Nataliia Iranik, 2013, 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS).

An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease

Igor Kononenko, Matjaz Kukar, Ciril Groselj, 1997, AIME.

Bias and pathology in minimax search

Ivan Bratko, Aleksander Sadikov, Igor Kononenko, 2005, Theor. Comput. Sci..

The Minimum Description Length Based Decision Tree Pruning

Igor Kononenko, I. Kononenko, 1998, PRICAI.

Inductive and Bayesian learning in medical diagnosis

Igor Kononenko, I. Kononenko, 1993, Appl. Artif. Intell..

Automatic Extractive Multi-document Summarization Based on Archetypal Analysis

Igor Kononenko, Ercan Canhasi, I. Kononenko, 2016 .

Estimation of individual prediction reliability using the local sensitivity analysis

Igor Kononenko, Zoran Bosnic, I. Kononenko, 2008, Applied Intelligence.

Machine learning and GDV images: current research and results

Aleksander Sadikov, Igor Kononenko, Katarina Mele, 1999 .

Chapter 11 – Artificial Neural Networks

Igor Kononenko, I. Kononenko, 2007 .

Chapter 9 – Symbolic Learning

Igor Kononenko, 2007 .

Business Game for PMBoK Standard Training of Pro-ject Managers

Natalia Kryvinska, Igor Kononenko, Oleksandra Stepanova, 2020, ITPM.

Frequent subgraph mining in oceanographic multi-level directed graphs

Igor Kononenko, Boris Petelin, Matjaž Kukar, 2019, Int. J. Geogr. Inf. Sci..

On Facts Versus Misconceptions about Rough Sets

Igor Kononenko, 1996, Informatica.

Model Selection with Combining Valid and Optimal Prediction Intervals

Igor Kononenko, Darko Pevec, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Machine Learning and Data Mining: Introduction to Principles and Algorithms

Igor Kononenko, Matjaz Kukar, I. Kononenko, 2007 .

Diagnosis of sport injuries with machine learning: explanation of induced decisions

Nada Lavrac, Igor Kononenko, Igor Zelic, 1997, Proceedings of Computer Based Medical Systems.

ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users

Ivan Bratko, Igor Kononenko, Bojan Cestnik, 1987, EWSL.

Analyzing Coronas of Fruits and Leaves

Aleksander Sadikov, Igor Kononenko, Franco Weibel, 2004 .

Evaluating Reliability of Single Classifications of Neural Networks

Erik Strumbelj, Igor Kononenko, Darko Pevec, 2011, ICANNGA.

Quality of classification explanations with PRBF

Erik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko, 2012, Neurocomputing.

Probabilistic First-Order Classification

Igor Kononenko, Uros Pompe, 1997, ILP.

Attribute selection for modelling

Igor Kononenko, Se June Hong, I. Kononenko, 1997, Future Gener. Comput. Syst..

Influence of Domain and Model Properties on the Reliability Estimates' Performance

Igor Kononenko, Zoran Bosnic, 2009, Int. J. Data Warehous. Min..

Estimating Reliability for Assessing and Correcting Individual Streaming Predictions

João Gama, Igor Kononenko, Pedro Pereira Rodrigues, 2012 .

Estimation of Regressor Reliability

Igor Kononenko, Zoran Bosnić, 2008 .

Theoretical and Empirical Analysis of ReliefF and RReliefF

Marko Robnik-Sikonja, Igor Kononenko, I. Kononenko, 2003, Machine Learning.

Attribute-Based Learning

Ivan Bratko, Igor Kononenko, Bojan Cestnik, 1996, AI Commun..

Computerized segmentation and diagnostics of whole-body bone scintigrams

Igor Kononenko, Luka Sajn, Metka Milcinski, 2007, Comput. Medical Imaging Graph..

A statistical approach to texture description of medical images: a preliminary study

Matjaz Bevk, Igor Kononenko, I. Kononenko, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

Semi-Naive Bayesian Classifier

Igor Kononenko, I. Kononenko, 1991, EWSL.

Analysing and improving the diagnosis of ischaemic heart disease with machine learning

Igor Kononenko, Matjaz Kukar, Ciril Groselj, 1999, Artif. Intell. Medicine.

Machine learning for medical diagnosis: history, state of the art and perspective

Igor Kononenko, I. Kononenko, 2001, Artif. Intell. Medicine.

Learning from depth sensor data using inductive logic programming

Ante Panjkota, Igor Kononenko, Matjaz Kukar, 2015, 2015 XXV International Conference on Information, Communication and Automation Technologies (ICAT).

Correction of Regression Predictions Using the Secondary Learner on the Sensitivity Analysis Outputs

Igor Kononenko, Zoran Bosnic, I. Kononenko, 2010, Comput. Informatics.

Pairwise saturations in inductive logic programming

Igor Kononenko, Miha Drole, I. Kononenko, 2017, Artificial Intelligence Review.

Chapter 3 – Machine Learning Basics

Igor Kononenko, 2007 .

Modeling basketball play-by-play data

Erik Strumbelj, Igor Kononenko, Petar Vracar, 2016, Expert Syst. Appl..

An overview of advances in reliability estimation of individual predictions in machine learning

Igor Kononenko, Zoran Bosnic, I. Kononenko, 2009, Intell. Data Anal..

Early Machine Learning Research in Ljubljana

Igor Kononenko, I. Kononenko, 2018, Informatica.

Reliability Estimates for Regression Predictions: Performance Analysis

Igor Kononenko, Zoran Bosnic, 2011, Integrations of Data Warehousing, Data Mining and Database Technologies.

Weighted hierarchical archetypal analysis for multi-document summarization

Igor Kononenko, Ercan Canhasi, I. Kononenko, 2016, Comput. Speech Lang..

Estimating Attributes: Analysis and Extensions of RELIEF

Igor Kononenko, I. Kononenko, 1994, ECML.

Towards a Model Independent Method for Explaining Classification for Individual Instances

Erik Strumbelj, Igor Kononenko, I. Kononenko, 2008, DaWaK.

Multiresolution Image Parametrization for Improving Texture Classification

Igor Kononenko, Luka Sajn, I. Kononenko, 2008, EURASIP J. Adv. Signal Process..

An Efficient Explanation of Individual Classifications using Game Theory

Erik Strumbelj, Igor Kononenko, I. Kononenko, 2010, J. Mach. Learn. Res..

Experiments in automatic learning of medical diagnostic rules

Ivan Bratko, Igor Kononenko, E. Roskar, 1984 .

Chapter 4 – Knowledge Representation

Igor Kononenko, 2007 .

Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics

Igor Kononenko, Matjaz Kukar, Luka Sajn, 2005, Comput. Methods Programs Biomed..

GDV technique and machine learning: Current research and results

Aleksander Sadikov, Igor Kononenko, Matjaž Bevk, 2001 .

Latest Experiments with GDV Technique in Agronomy

Aleksander Sadikov, Igor Kononenko, 2003 .

Cost-Sensitive Learning with Neural Networks

Igor Kononenko, Matjaz Kukar, I. Kononenko, 1998, ECAI.

Extended Symbolic Mining of Textures with Association Rules

Matjaz Bevk, Igor Kononenko, I. Kononenko, 2009, Informatica.

Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization

Igor Kononenko, Ercan Canhasi, 2014, Expert Syst. Appl..

The General Explanation Method with NMR Spectroscopy Enables the Identification of Metabolite Profiles Specific for Normal and Tumor Cell Lines

Igor Kononenko, Janez Plavec, Gregor Serša, 2018, Chembiochem : a European journal of chemical biology.

Chapter 6 – Measures for Evaluating the Quality of Attributes

Igor Kononenko, 2007 .

Explanation and reliability of prediction models: the case of breast cancer recurrence

Erik Strumbelj, Igor Kononenko, Zoran Bosnic, 2010, Knowledge and Information Systems.

Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction

Elpida T. Keravnou, Nada Lavrac, Blaz Zupan, 1998, AI Commun..

Machine learning and data mining

Igor Kononenko, Matjaž Kukar, I. Kononenko, 2007 .

SFOIL: Stochastic Approach to Inductive Logic Programming

Igor Kononenko, Uros Pompe, Matevz Kovacic, 1993 .

Using Shadowed Clustering and Breeder GA in the Imbalanced Data Classification Problems

Ante Panjkota, Josip Musić, Igor Kononenko, 2015 .

Image Segmentation and Parameterization for Automatic Diagnostics of Whole-Body Scintigrams: Basic Concepts

Igor Kononenko, Luka Šajn, I. Kononenko, 2009 .

SEARCH VS KNOWLEDGE: EMPIRICAL STUDY OF MINIMAX ON KRK ENDGAME

Ivan Bratko, Aleksander Sadikov, Igor Kononenko, 2003 .

The Basics of the Project Portfolio Management Generalized Body of Knowledge

Igor Kononenko, Maximilien Kpodjedo, 2021, ITPM.

Towards Reliable Reliability Estimates for Individual Regression Predictions Technical Report T-01 / 08

Igor Kononenko, Zoran Bosnić, I. Kononenko, 2008 .

Learning and Explaining the Impact of Enterprises’ Organizational Quality on their Economic Results

Igor Kononenko, Erik Štrumbelj, Marko Pregeljc, 2012 .

A counter example to the stronger version of the binarytree hypothesisIgor

Igor Kononenko, I. Kononenko, 1995 .

A Fast Algorithm for Mining Utility-Frequent Itemsets

Nada Lavrač, Igor Kononenko, Vid Podpečan, 2007 .

Non-Myopic Feature Quality Evaluation with (R)ReliefF

Igor Kononenko, Igor Kononenko, Marko Robnik ¡Sikonja, 2007 .

Context-Sensitive Attribute Estimation in Regression

Marko Robnik-Šikonja, Igor Kononenko, 1996 .

Texture Analysis using Association Rules

Igor Kononenko, Matjaž Bevk, I. Kononenko, 2004 .

Discretization of continuous attributes using ReliefF

Igor Kononenko, Marko Robnik Sikonja, 2013 .

An Application of Ilp in a Musical Database: Learning to Compose the Two-voice Counterpoint

Igor Kononenko, I. Kononenko, 1996 .