World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
21616
World Ranking
10429
National Ranking
16

Overview

Igor Kononenko is affiliated with the University of Ljubljana in Slovenia. Their research primarily falls within Computer Science, with a focus on several subfields including Information Systems, Artificial Intelligence, Management of Technology and Innovation, Economics and Econometrics, and Management Information Systems.

The scientist's work addresses multiple topics, notably:

  • Engineering Education and Technology
  • Information Systems and Technology Applications
  • Enterprise Management and Information Systems
  • Business and Economic Development
  • Construction Project Management and Performance
  • Economic and Technological Systems Analysis
  • Labor Market and Education

Igor Kononenko has published extensively in various scientific venues. Frequent publication venues include:

  • RADIOELECTRONIC AND COMPUTER SYSTEMS
  • Bulletin of NTU KhPI Series Strategic Management Portfolio Program and Project Management
  • Uporabna informatika
  • Journal of Business Economics and Management
  • Neural Networks

Some recent papers authored or co-authored by Igor Kononenko include:

  • "IS FISCAL POLICY ONE OF THE MOST IMPORTANT SOCIO-ECONOMIC DRIVERS FOR ENTREPRENEURIAL ACTIVITY IN EUROPEAN UNION COUNTRIES?", 2023, Journal of Business Economics and Management
  • "Mathematical model of software development project team composition optimization with fuzzy initial data", 2021, RADIOELECTRONIC AND COMPUTER SYSTEMS
  • "SuperFormer: Continual learning superposition method for text classification", 2023, Neural Networks
  • "Analysis of neuropsychological and neuroradiological features for diagnosis of Alzheimer's disease and mild cognitive impairment", 2023, International Journal of Medical Informatics
  • "ИНФОРМАЦИОННАЯ СИСТЕМА ВЫБОРА И ФОРМИРОВАНИЯ ПОДХОДА К УПРАВЛЕНИЮ ПРОЕКТОМ", 2020, RADIOELECTRONIC AND COMPUTER SYSTEMS

The scientist collaborates frequently with several researchers. Common co-authors are:

  • Zoran Bosnić
  • Hlib Sushko
  • Aleš Papič
  • Jana Faganeli Pucer
  • Maximilien Kpodjedo

Best Publications

  • Estimating attributes: analysis and extensions of RELIEF

    Igor Kononenko

  • Theoretical and Empirical Analysis of ReliefF and RReliefF

    Marko Robnik-Šikonja;Igor Kononenko

  • Explaining prediction models and individual predictions with feature contributions

    Erik Štrumbelj;Igor Kononenko

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

    Igor Kononenko

  • Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF

    Igor Kononenko;Edvard Šimec;Marko Robnik-Šikonja

  • ASSISTANT 86: a knowledge-elicitation tool for sophisticated users

    Bojan Cestnik;Igor Kononenko;Ivan Bratko

  • An adaptation of Relief for attribute estimation in regression

    Marko Robnik-Sikonja;Igor Kononenko

  • The MONK's problems: A Performance Comparison of Different Learning Algorithms

    Sebastian B. Thrun;Jerzy W. Bala;Eric Bloedorn;Ivan Bratko

  • Semi-Naive Bayesian Classifier

    Igor Kononenko

  • Machine learning and data mining

    Igor Kononenko;Matjaž Kukar

  • An Efficient Explanation of Individual Classifications using Game Theory

    Erik Strumbelj;Igor Kononenko

  • INDUCTIVE AND BAYESIAN LEARNING IN MEDICAL DIAGNOSIS

    Igor Kononenko

  • On biases in estimating multi-valued attributes

    Igor Kononenko

  • Explaining Classifications For Individual Instances

    M. Robnik-Sikonja;I. Kononenko

  • Machine Learning and Data Mining: Introduction to Principles and Algorithms

    Igor Kononenko;Matjaz Kukar

  • Cost-Sensitive Learning with Neural Networks.

    Matjaz Kukar;Igor Kononenko

  • Information-Based Evaluation Criterion for Classifier's Performance

    Igor Kononenko;Ivan Bratko

  • Experiments in automatic learning of medical diagnostic rules

    Igor Kononenko;Ivan Bratko;E. Roskar

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

    Matjaž Kukar;Igor Kononenko;Ciril Grošelj;Katarina Kralj

  • Explaining instance classifications with interactions of subsets of feature values

    E. Štrumbelj;I. Kononenko;M. Robnik Šikonja

  • INDUCTION OF DECISION TREES USING RELIEFF

    I. Kononenko;E. Simec

Frequent Co-Authors

Ivan Bratko
Ivan Bratko University of Ljubljana
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
João Gama
João Gama University of Porto
Aristidis Likas
Aristidis Likas University of Ioannina
Damijan Miklavčič
Damijan Miklavčič University of Ljubljana
Sebastian Thrun
Sebastian Thrun Stanford University
Kenneth de Jong
Kenneth de Jong George Mason University
Ryszard S. Michalski
Ryszard S. Michalski George Mason University

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