Igor Kononenko
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Igor Kononenkocomputer-science Degrees
Computer Science
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Data Mining
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Machine Learning
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Computer Science
Igor Kononenko's Degrees
- PhD Computer Science University of Ljubljana
- Masters Computer Science University of Ljubljana
- Bachelors Computer Science University of Ljubljana
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Why Is Igor Kononenko Influential?
(Suggest an Edit or Addition)Igor Kononenko's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Estimating Attributes: Analysis and Extensions of RELIEF (1994) (2979)
- Theoretical and Empirical Analysis of ReliefF and RReliefF (2003) (2535)
- Machine learning for medical diagnosis: history, state of the art and perspective (2001) (1291)
- Explaining prediction models and individual predictions with feature contributions (2014) (852)
- Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF (2004) (643)
- ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users (1987) (542)
- An adaptation of Relief for attribute estimation in regression (1997) (537)
- An Efficient Explanation of Individual Classifications using Game Theory (2010) (453)
- Semi-Naive Bayesian Classifier (1991) (385)
- Inductive and Bayesian learning in medical diagnosis (1993) (338)
- On Biases in Estimating Multi-Valued Attributes (1995) (319)
- Cost-Sensitive Learning with Neural Networks (1998) (280)
- Machine Learning and Data Mining: Introduction to Principles and Algorithms (2007) (278)
- Explaining Classifications For Individual Instances (2008) (258)
- Experiments in automatic learning of medical diagnostic rules (1984) (196)
- INDUCTION OF DECISION TREES USING RELIEFF (1995) (195)
- Analysing and improving the diagnosis of ischaemic heart disease with machine learning (1999) (159)
- Information-based evaluation criterion for classifier's performance (2004) (121)
- Explaining instance classifications with interactions of subsets of feature values (2009) (94)
- Reliable Classifications with Machine Learning (2002) (83)
- Attribute selection for modelling (1997) (80)
- Machine learning and data mining (2007) (79)
- ReliefF for estimation and discretization of attributes in classification, regression, and ILP probl (1996) (71)
- Naive Bayesian classifier within ILP-R (1995) (67)
- Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization (2014) (67)
- Comparison of approaches for estimating reliability of individual regression predictions (2008) (66)
- A statistical approach to texture description of medical images: a preliminary study (2002) (59)
- Estimation of individual prediction reliability using the local sensitivity analysis (2008) (56)
- Induction of Decision Trees and Bayesian Classification Applied to Diagnosis of Sport Injuries (1997) (54)
- Information-Based Evaluation Criterion for Classifier's Performance (1991) (49)
- Explanation and reliability of prediction models: the case of breast cancer recurrence (2010) (49)
- An overview of advances in reliability estimation of individual predictions in machine learning (2009) (48)
- Machine learning in prognosis of the femoral neck fracture recovery (1996) (40)
- Modeling basketball play-by-play data (2016) (40)
- Bayesian neural networks (1989) (40)
- Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction (1998) (39)
- Learning as Optimization: Stochastic Generation of Multiple Knowledge (1992) (36)
- A General Method for Visualizing and Explaining Black-Box Regression Models (2011) (35)
- A Fast Algorithm for Mining Utility-Frequent Itemsets (2007) (35)
- Pruning Regression Trees with MDL (1998) (31)
- Evaluation of prediction reliability in regression using the transduction principle (2003) (27)
- Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics (2005) (27)
- An application of machine learning in the diagnosis of ischaemic heart disease (1997) (26)
- Comprehensible evaluation of prognostic factors and prediction of wound healing (2003) (26)
- Multi-document summarization via Archetypal Analysis of the content-graph joint model (2014) (26)
- Attribute Selection for Modeling (1997) (25)
- Non-Myopic Feature Quality Evaluation with (R)ReliefF (2007) (25)
- Machine learning improves the accuracy of coronary artery disease diagnostic methods (1997) (24)
- Combining Decisions of Multiple Rules (1992) (22)
- Linear Space Induction in First Order Logic with Relieff (1995) (22)
- Comprehensible Interpretation of Relief's Estimates (2001) (22)
- Weighted hierarchical archetypal analysis for multi-document summarization (2016) (20)
- Mining Data From Hemodynamic Simulations for Generating Prediction and Explanation Models (2010) (19)
- Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease (2011) (18)
- Chapter 3 – Machine Learning Basics (2007) (17)
- Bias and pathology in minimax search (2005) (17)
- Attribute Dependencies, Understandability and Split Selection in Tree Based Models (1999) (16)
- Towards a Model Independent Method for Explaining Classification for Individual Instances (2008) (16)
- Computerized segmentation and diagnostics of whole-body bone scintigrams (2007) (15)
- Medical Analysis of Automatically Induced Diagnostic Rules (1989) (14)
- Automatic selection of reliability estimates for individual regression predictions (2010) (14)
- SFOIL: Stochastic Approach to Inductive Logic Programming (1993) (14)
- An Application of Ilp in a Musical Database: Learning to Compose the Two-voice Counterpoint (1996) (13)
- Multi-level association rules and directed graphs for spatial data analysis (2013) (13)
- Successive Naive Bayesian Classifier (1993) (13)
- Enhancing data stream predictions with reliability estimators and explanation (2014) (12)
- Explanation and Reliability of Individual Predictions (2013) (12)
- METHOD FOR SELECTION OF PROJECT MANAGEMENT APPROACH BASED ON FUZZY CONCEPTS (2017) (12)
- Prediction intervals in supervised learning for model evaluation and discrimination (2015) (11)
- An experiment in machine learning of redundant knowledge (1991) (10)
- Efficiently Explaining Decisions of Probabilistic RBF Classification Networks (2011) (10)
- Probabilistic First-Order Classification (1997) (10)
- Learning and Explaining the Impact of Enterprises’ Organizational Quality on their Economic Results (2012) (10)
- Attribute-Based Learning (1996) (10)
- Towards symbolic mining of images with association rules: Preliminary results on textures (2006) (10)
- Multiresolution Image Parametrization for Improving Texture Classification (2008) (10)
- The Minimum Description Length Based Decision Tree Pruning (1998) (9)
- Quality of classification explanations with PRBF (2012) (9)
- Correction of Regression Predictions Using the Secondary Learner on the Sensitivity Analysis Outputs (2010) (9)
- Classification of grapevine cultivars using Kirlian camera and machine learning. (2000) (9)
- Visualization and Concept Drift Detection Using Explanations of Incremental Models (2014) (8)
- The Methods of Selection of the Project Management Methodology (2014) (8)
- Efficient Derivation of the Optimal Assembly Sequence from Product Description (1998) (8)
- A counter example to the stronger version of the binarytree hypothesisIgor (1995) (7)
- Application of the project management methodology synthesis method with fuzzy input data (2016) (7)
- Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics (2005) (7)
- Estimation of Regressor Reliability (2008) (6)
- Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate (2011) (6)
- MODEL AND METHOD FOR SYNTHESIS OF PROJECT MANAGEMENT METHODOLOGY WITH FUZZY INPUT DATA (2016) (6)
- Machine Learning Applied to Diagnosis of Sport Injuries (1997) (6)
- Influence of Domain and Model Properties on the Reliability Estimates' Performance (2009) (6)
- Reliability Estimates for Regression Predictions: Performance Analysis (2011) (6)
- Automatic Extractive Multi-document Summarization Based on Archetypal Analysis (2016) (5)
- SEARCH VS KNOWLEDGE: EMPIRICAL STUDY OF MINIMAX ON KRK ENDGAME (2003) (5)
- Machine learning and GDV images: current research and results (1999) (5)
- GDV images: Current research and results (2000) (5)
- Mathematical model of software development project team composition optimization with fuzzy initial data (2021) (5)
- Context-Sensitive Attribute Estimation in Regression (1996) (5)
- Web user profiles with time-decay and prototyping (2014) (5)
- Analyzing Coronas of Fruits and Leaves (2004) (5)
- Prognosing the Survival Time of Patients with Anaplastic Thyroid Carcinoma using Machine Learning (1997) (5)
- Obtaining structural descriptions of building façades (2016) (4)
- Estimating Reliability for Assessing and Correcting Individual Streaming Predictions (2012) (4)
- Evaluating the Quality of Attributes (2005) (4)
- Evaluating Reliability of Single Classifications of Neural Networks (2011) (4)
- Automated Diagnostics of Coronary Artery Disease: Long-term Results and Recent Advancements (2012) (4)
- Information Stored in Coronas of Fruits and Leaves (2002) (4)
- Discretization of continuous attributes using ReliefF (2013) (4)
- Non-Myopic Attribute Estimation in Regression (1996) (4)
- Feedforward Bayesian neural network and continuous attributes (1991) (4)
- Automatic construction of the knowledge base for a steel classification expert system (1987) (4)
- Input dependent prediction intervals for supervised regression (2014) (4)
- Application of the Project Management Methodology Formation’s Method (2019) (4)
- The Regularity of the Country’s GDP Growth Rate Changes Influence on the Volume of Gross Fixed Capital Formation (2019) (4)
- The Project Management Methodology and Guide Formation's Method (2018) (4)
- Selection method of the project management methodology and its application (2013) (3)
- Search versus Knowledge: An Empirical Study of Minimax on KRK (2003) (3)
- METHOD OF THE IT PROJECT TEAM CREATION BASED ON MAXIMIZING IT’S COMPETENCIES (2021) (3)
- EVOLUTION OF THE GENERALIZED BODY OF KNOWLEDGE ON PROJECT MANAGEMENT (2018) (3)
- Chapter 11 – Artificial Neural Networks (2007) (3)
- Dynamic fuzzy paths and cycles in multi-level directed graphs (2015) (3)
- Diagnosis of sport injuries with machine learning: explanation of induced decisions (1997) (3)
- Towards Reliable Reliability Estimates for Individual Regression Predictions Technical Report T-01 / 08 (2008) (2)
- Chapter 12 – Cluster Analysis (2007) (2)
- Frequent subgraph mining in oceanographic multi-level directed graphs (2019) (2)
- Model Selection with Combining Valid and Optimal Prediction Intervals (2012) (2)
- An Efficient Method for Explaining the Decisions of the Probabilistic RBF Classification Network (2007) (2)
- Creation of a Software Development Team in Scrum Projects (2020) (2)
- Explaining the Predictions of an Arbitrary Prediction Model: Feature Contributions and Quasi-nomograms (2018) (2)
- Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools (2001) (2)
- Empirical Analysis of Reliability Estimates for Individual Regression Predictions (2008) (2)
- The General Explanation Method with NMR Spectroscopy Enables the Identification of Metabolite Profiles Specific for Normal and Tumor Cell Lines (2018) (2)
- Chapter 10 – Statistical Learning (2007) (1)
- Projects Portfolio Optimization for the Planned Period with Aftereffect Consideration (2019) (1)
- Automatic attribute construction for basketball modelling (2019) (1)
- Multi-level Association Rules and Directed Graphs for the Lagrangian Analysis of the Mediterranean Ocean Forecasting System (MFS) (2012) (1)
- Chapter 7 – Data Preprocessing (2007) (1)
- Efficient Induction and Effective Use of First-Order Knowledge (1998) (1)
- GDV technique and machine learning: Current research and results (2001) (1)
- Latest Experiments with GDV Technique in Agronomy (2003) (1)
- On Facts Versus Misconceptions about Rough Sets (1996) (1)
- Critical Analysis of Rough Sets Approach to Machine Learning (1994) (1)
- Business Game for PMBoK Standard Training of Pro-ject Managers (2020) (1)
- Diagnosing the Ischaemic Heart Disease with Machine Learning (1998) (1)
- Method for solving the multi-criteria non-Markov problem of project portfolio optimization (2022) (1)
- CLASSIFICATION OF DIFFERENT TYPES OF CORONAS USING PARAMETRIZATION OF IMAGES AND MACHINE LEARNING (2004) (1)
- Early Machine Learning Research in Ljubljana (2018) (1)
- Method of Selecting the Maturity Level of an Organization When Managing a Project Portfolio (2020) (1)
- Extended Symbolic Mining of Textures with Association Rules (2009) (1)
- The Basics of the Project Portfolio Management Generalized Body of Knowledge (2021) (1)
- Learning from depth sensor data using inductive logic programming (2015) (1)
- Estimation of Prediction Reliability in Regression Based on a Transductive Approach (2005) (1)
- Individual Prediction Reliability Estimates in Classification and Regression (2012) (1)
- Vitality of Plants Through Coronas of Fruits and Leaves (2002) (1)
- Learning Betting Tips from Users' Bet Selections (2009) (1)
- DIGITALIZATION IN SMALL BUSINESS FOR WOMEN ENTREPRENEURS IN UKRAINE (2021) (0)
- Chapter 5 – Learning as Search (2007) (0)
- Prediction intervals in supervised learning for model evaluation and discrimination (2014) (0)
- Chapter 6 – Measures for Evaluating the Quality of Attributes (2007) (0)
- Chapter 4 – Knowledge Representation (2007) (0)
- Visualization of Explanations of Incremental Models (2019) (0)
- Chapter 9 – Symbolic Learning (2007) (0)
- EXPLANATION AND RELIABILITY OF INDIVIDUAL PREDICTIONS : RECENT RESEARCH BY LKM (2012) (0)
- Chapter 2 – Learning and Intelligence (2007) (0)
- Chapter 13 – **Learning Theory (2007) (0)
- Prolog through examples (1988) (0)
- Induction of decision trees using RELIEFFIgor Kononenko (1995) (0)
- Closed world specialisation inside the induction process (2016) (0)
- Machine learning in the diagnosis of ischaemic heart disease (1997) (0)
- A FRAMEWORK FOR A MULTILINGUAL CONTEXTUAL AND BEHAVIORAL ONLINE ADVERTISING NETWORK: A CASE STUDY (2011) (0)
- Current results of experiments with GDV images (2003) (0)
- Efficiently explaining the predictions of a probabilistic radial basis function classification network (2013) (0)
- Automatic attribute construction for basketball modelling (2019) (0)
- Prognosing the femoral neck fracture recovery with machine learning (1998) (0)
- The Use of Prediction Reliability Estimates on Imbalanced Datasets: A Case Study of Wall Shear Stress in the Human Carotid Artery Bifurcation (2013) (0)
- Extension of ReliefF (1997) (0)
- Pairwise saturations in inductive logic programming (2017) (0)
- GDV measures vitality? (2005) (0)
- Texture Analysis using Association Rules (2004) (0)
- Experiments with Machine Learning in the Prediction of Coronary Artery Disease Progression (1997) (0)
- Chapter 14 – **Computational Learning Theory (2007) (0)
- The First Librarian of the University Library (2020) (0)
- Machine learning from coronas using parametrization of images (2003) (0)
- Using Shadowed Clustering and Breeder GA in the Imbalanced Data Classification Problems (2015) (0)
- Image Segmentation and Parameterization for Automatic Diagnostics of Whole-Body Scintigrams: Basic Concepts (2009) (0)
- INFORMACIJSKA DRUBA IS 2006 INFORMATION SOCIETY IS 2006 (2006) (0)
- Chapter 8 – *Constructive Induction (2007) (0)
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