| 2020 | CSIT | Method of Selecting the Maturity Level of an Organization When Managing a Project Portfolio. | Igor Kononenko, Maximilien Kpodjedo |
| 2020 | CSIT | Creation of a Software Development Team in Scrum Projects. | Igor Kononenko, Hlib Sushko |
| 2018 | CSIT | The Project Management Methodology and Guide Formation's Method. | Igor Kononenko, Svitlana Lutsenko |
| 2012 | ICDM | Model Selection with Combining Valid and Optimal Prediction Intervals. | Darko Pevec, Igor Kononenko |
| 2008 | DaWaK | Empirical Analysis of Reliability Estimates for Individual Regression Predictions. | Zoran Bosnic, Igor Kononenko |
| 2008 | DaWaK | Towards a Model Independent Method for Explaining Classification for Individual Instances. | Erik Strumbelj, Igor Kononenko |
| 2005 | AIME | Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. | Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski |
| 2005 | CBMS | GDV Measures Vitality? | Igor Kononenko, Miha Sedej, Aleksander Sadikov |
| 2002 | CBMS | A Statistical Approach to Texture Description of Medical Images: A Preliminary Study. | Matjaz Bevk, Igor Kononenko |
| 2001 | AIME | Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools. | Marko Robnik-Sikonja, David Cukjati, Igor Kononenko |
| 2001 | ICML | Comprehensible Interpretation of Relief's Estimates. | Marko Robnik-Sikonja, Igor Kononenko |
| 1999 | ICML | Attribute Dependencies, Understandability and Split Selection in Tree Based Models. | Marko Robnik-Sikonja, Igor Kononenko |
| 1998 | ECAI | Cost-Sensitive Learning with Neural Networks. | Matjaz Kukar, Igor Kononenko |
| 1998 | ECAI | Pruning Regression Trees with MDL. | Marko Robnik-Sikonja, Igor Kononenko |
| 1998 | PRICAI | The Minimum Description Length Based Decision Tree Pruning. | Igor Kononenko |
| 1997 | AIME | An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. | Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich |
| 1997 | AIME | Machine Learning Applied to Diagnosis of Sport Injuries. | Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga |
| 1997 | CBMS | An application of machine learning in the diagnosis of ischaemic heart disease. | Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich |
| 1997 | CBMS | Diagnosis of sport injuries with machine learning: explanation of induced decisions. | Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga |
| 1997 | ICML | An adaptation of Relief for attribute estimation in regression. | Marko Robnik-Sikonja, Igor Kononenko |
| 1997 | ILP | Probabilistic First-Order Classification. | Uros Pompe, Igor Kononenko |
| 1995 | IJCAI | On Biases in Estimating Multi-Valued Attributes. | Igor Kononenko |
| 1992 | AIMSA | Combining Decisions of Multiple Rules. | Igor Kononenko |
| 1992 | ICML | Learning as Optimization: Stochastic Generation of Multiple Knowledge. | Igor Kononenko, Matevz Kovacic |
| 1989 | AIME | Medical Analysis of Automatically Induced Diagnostic Rules. | Vladimir Pirnat, Igor Kononenko, T. Janc, Ivan Bratko |