Machine learning in prognosis of the femoral neck fracture recovery. - Matjaz Kukar; Igor Kononenko 001; T. Silvester (Artif. Intell. Medicine, 1996)

An application of machine learning in the diagnosis of ischaemic heart disease. - Matjaz Kukar; Ciril Groselj; Igor Kononenko 001; Jure Fettich (CBMS, 1997)

Cost-Sensitive Learning with Neural Networks. - Matjaz Kukar; Igor Kononenko 001 (ECAI, 1998)

Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. - Nada Lavrac; Blaz Zupan; Igor Kononenko 001; Matjaz Kukar; Elpida T. Keravnou (AI Commun., 1998)

Machine Learning in Stepwise Diagnostic Process. - Matjaz Kukar; Ciril Groselj (AIMDM, 1999)

Analysing and improving the diagnosis of ischaemic heart disease with machine learning. - Matjaz Kukar; Igor Kononenko 001; Ciril Groselj; Katarina Kralj; Jure Fettich (Artif. Intell. Medicine, 1999)

Making Reliable Diagnoses with Machine Learning: A Case Study. - Matjaz Kukar (AIME, 2001)

Reliable Diagnostics for Coronary Artery Disease. - Matjaz Kukar; Ciril Groselj (CBMS, 2002)

Reliable Classifications with Machine Learning. - Matjaz Kukar; Igor Kononenko 001 (ECML, 2002)

Drifting Concepts as Hidden Factors in Clinical Studies. - Matjaz Kukar (AIME, 2003)

Transductive reliability estimation for medical diagnosis. - Matjaz Kukar (Artif. Intell. Medicine, 2003)

Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability. - Matjaz Kukar (ECAI, 2004)

Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining. - Matjaz Kukar (ICDM, 2004)

Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)]. - Matjaz Kukar (Artif. Intell. Medicine, 2004)

Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. - Luka Sajn; Matjaz Kukar; Igor Kononenko 001; Metka Milcinski (AIME, 2005)

Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. - Luka Sajn; Matjaz Kukar; Igor Kononenko 001; Metka Milcinski (Comput. Methods Programs Biomed., 2005)

Quality assessment of individual classifications in machine learning and data mining. - Matjaz Kukar (Knowl. Inf. Syst., 2006)

Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease. - Matjaz Kukar; Luka Sajn; Ciril Groselj; Jera Groselj (AIME, 2007)

Transductive Reliability Estimation for Kernel Based Classifiers. - Dimitris Tzikas; Matjaz Kukar; Aristidis Likas (IDA, 2007)

Integrating Data Mining and Decision Support through Data Mining Based Decision Support System. - Rok Rupnik; Matjaz Kukar; Marjan Krisper (J. Comput. Inf. Syst., 2007)

Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study. - Matjaz Kukar; Luka Sajn (AIME, 2009)

Supporting Diagnostics of Coronary Artery Disease with Multi-resolution Image Parameterization and Data Mining. - Matjaz Kukar; Luka Sajn (MIRAGE, 2009)

Separation of Interleaved Web Sessions with Heuristic Search. - Marko Pozenel; Viljan Mahnic; Matjaz Kukar (ICDM, 2010)

Separating Interleaved HTTP Sessions Using a Stochastic Model. - Marko Pozenel; Viljan Mahnic; Matjaz Kukar (Informatica (Slovenia), 2010)

Supporting Diagnostics of Coronary Artery Disease with Neural Networks. - Matjaz Kukar; Ciril Groselj (ICANNGA (1), 2011)

Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease. - Matjaz Kukar; Igor Kononenko 001; Ciril Groselj (Artif. Intell. Medicine, 2011)

Image processing and machine learning for fully automated probabilistic evaluation of medical images. - Luka Sajn; Matjaz Kukar (Comput. Methods Programs Biomed., 2011)

Reservoir sampling techniques in modern data analysis. - Anze Pecar; Miha Zidar; Matjaz Kukar (BCI, 2012)

Multi-level association rules and directed graphs for spatial data analysis. - Boris Petelin; Igor Kononenko 001; Vlado Malacic; Matjaz Kukar (Expert Syst. Appl., 2013)

Explanation and Reliability of Individual Predictions. - Igor Kononenko 001; Erik Strumbelj; Zoran Bosnic; Darko Pevec; Matjaz Kukar; Marko Robnik-Sikonja (Informatica (Slovenia), 2013)

Automatization of the Stream Mining Process. - Lovro Subelj; Zoran Bosnic; Matjaz Kukar; Marko Bajec (CAiSE, 2014)

Learning from depth sensor data using inductive logic programming. - Miha Drole; Petar Vracar; Ante Panjkota; Ivo Stancic; Josip Music; Igor Kononenko 001; Matjaz Kukar (ICAT, 2015)

Dynamic fuzzy paths and cycles in multi-level directed graphs. - Boris Petelin; Igor Kononenko 001; Vlado Malacic; Matjaz Kukar (Eng. Appl. Artif. Intell., 2015)

A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals. - Jana Faganeli Pucer; Matjaz Kukar (Comput. Methods Programs Biomed., 2018)

AgroDSS: A decision support system for agriculture and farming. - Rok Rupnik; Matjaz Kukar; Petar Vracar; Domen Kosir; Darko Pevec; Zoran Bosnic (Comput. Electron. Agric., 2019)

Frequent subgraph mining in oceanographic multi-level directed graphs. - Boris Petelin; Igor Kononenko 001; Vlado Malacic; Matjaz Kukar (Int. J. Geogr. Inf. Sci., 2019)

COVID-19 diagnosis by routine blood tests using machine learning. - Matjaz Kukar; Gregor Guncar; Tomaz Vovko; Simon Podnar; Peter Cernelc; Miran Brvar; Mateja Zalaznik; Mateja Notar; Saso Moskon; Marko Notar (CoRR, 2020)

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. - Tim Smole; Bojan Zunkovic; Matej Piculin; Enja Kokalj; Marko Robnik-Sikonja; Matjaz Kukar; Dimitrios I. Fotiadis; Vasileios C. Pezoulas; Nikolaos S. Tachos; Fausto Barlocco; Francesco Mazzarotto; Dejana Popovic; et al. (Comput. Biol. Medicine, 2021)

Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values. - Gregor Guncar; Matjaz Kukar; Tim Smole; Saso Moskon; Tomaz Vovko; Simon Podnar; Peter Cernelc; Miran Brvar; Mateja Notar; Manca Köster; Marjeta Tusek Jelenc; Marko Notar (CoRR, 2023)