Matjaz Kukar

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Decision Support

Top Venues

Comput. Electron. Agric.

Eng. Appl. Artif. Intell.

Publications

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
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values. CoRR (2023)
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, Lars Maier, Lazar Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135 (2021)
Matjaz Kukar, Gregor Guncar, Tomaz Vovko, Simon Podnar, Peter Cernelc, Miran Brvar, Mateja Zalaznik, Mateja Notar, Saso Moskon, Marko Notar
COVID-19 diagnosis by routine blood tests using machine learning. CoRR (2020)
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
Frequent subgraph mining in oceanographic multi-level directed graphs. Int. J. Geogr. Inf. Sci. 33 (10) (2019)
Rok Rupnik, Matjaz Kukar, Petar Vracar, Domen Kosir, Darko Pevec, Zoran Bosnic
AgroDSS: A decision support system for agriculture and farming. Comput. Electron. Agric. 161 (2019)
Jana Faganeli Pucer, Matjaz Kukar
A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals. Comput. Methods Programs Biomed. 164 (2018)
Miha Drole, Petar Vracar, Ante Panjkota, Ivo Stancic, Josip Music, Igor Kononenko, Matjaz Kukar
Learning from depth sensor data using inductive logic programming. ICAT (2015)
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
Dynamic fuzzy paths and cycles in multi-level directed graphs. Eng. Appl. Artif. Intell. 37 (2015)
Lovro Subelj, Zoran Bosnic, Matjaz Kukar, Marko Bajec
Automatization of the Stream Mining Process. CAiSE (2014)
Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja
Explanation and Reliability of Individual Predictions. Informatica (Slovenia) 37 (1) (2013)
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
Multi-level association rules and directed graphs for spatial data analysis. Expert Syst. Appl. 40 (12) (2013)
Anze Pecar, Miha Zidar, Matjaz Kukar
Reservoir sampling techniques in modern data analysis. BCI (2012)
Matjaz Kukar, Igor Kononenko, Ciril Groselj
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease. Artif. Intell. Medicine 52 (2) (2011)
Luka Sajn, Matjaz Kukar
Image processing and machine learning for fully automated probabilistic evaluation of medical images. Comput. Methods Programs Biomed. 104 (3) (2011)
Matjaz Kukar, Ciril Groselj
Supporting Diagnostics of Coronary Artery Disease with Neural Networks. ICANNGA (1) (2011)
Marko Pozenel, Viljan Mahnic, Matjaz Kukar
Separating Interleaved HTTP Sessions Using a Stochastic Model. Informatica (Slovenia) 34 (2) (2010)
Marko Pozenel, Viljan Mahnic, Matjaz Kukar
Separation of Interleaved Web Sessions with Heuristic Search. ICDM (2010)
Matjaz Kukar, Luka Sajn
Supporting Diagnostics of Coronary Artery Disease with Multi-resolution Image Parameterization and Data Mining. MIRAGE (2009)
Matjaz Kukar, Luka Sajn
Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study. AIME (2009)
Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
Transductive Reliability Estimation for Kernel Based Classifiers. IDA (2007)
Rok Rupnik, Matjaz Kukar, Marjan Krisper
Integrating Data Mining and Decision Support through Data Mining Based Decision Support System. J. Comput. Inf. Syst. 47 (3) (2007)
Matjaz Kukar, Luka Sajn, Ciril Groselj, Jera Groselj
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease. AIME (2007)
Matjaz Kukar
Quality assessment of individual classifications in machine learning and data mining. Knowl. Inf. Syst. 9 (3) (2006)
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. AIME (2005)
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics. Comput. Methods Programs Biomed. 80 (1) (2005)
Matjaz Kukar
Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining. ICDM (2004)
Matjaz Kukar
Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability. ECAI (2004)
Matjaz Kukar
Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)]. Artif. Intell. Medicine 30 (2) (2004)
Matjaz Kukar
Transductive reliability estimation for medical diagnosis. Artif. Intell. Medicine 29 (1-2) (2003)
Matjaz Kukar
Drifting Concepts as Hidden Factors in Clinical Studies. AIME (2003)
Matjaz Kukar, Ciril Groselj
Reliable Diagnostics for Coronary Artery Disease. CBMS (2002)
Matjaz Kukar, Igor Kononenko
Reliable Classifications with Machine Learning. ECML (2002)
Matjaz Kukar
Making Reliable Diagnoses with Machine Learning: A Case Study. AIME (2001)
Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich
Analysing and improving the diagnosis of ischaemic heart disease with machine learning. Artif. Intell. Medicine 16 (1) (1999)
Matjaz Kukar, Ciril Groselj
Machine Learning in Stepwise Diagnostic Process. AIMDM (1999)
Matjaz Kukar, Igor Kononenko
Cost-Sensitive Learning with Neural Networks. ECAI (1998)
Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. AI Commun. 11 (3-4) (1998)
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
An application of machine learning in the diagnosis of ischaemic heart disease. CBMS (1997)
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease. AIME (1997)
Matjaz Kukar, Igor Kononenko, T. Silvester
Machine learning in prognosis of the femoral neck fracture recovery. Artif. Intell. Medicine 8 (5) (1996)