Matjaz Kukar

42 papers A* 2A 3B 9C 1Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2025 C conf
Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning.
BIBE
Fatemeh Azad, Zoran Bosnic, Matjaz Kukar
2025 J jnl
Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning.
CoRR
Fatemeh Azad, Zoran Bosnic, Matjaz Kukar
2023 J jnl
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values.
CoRR
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
2021 J jnl
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy.
Comput. Biol. Medicine
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 U. Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic
2020 J jnl
COVID-19 diagnosis by routine blood tests using machine learning.
CoRR
Matjaz Kukar, Gregor Guncar, Tomaz Vovko, Simon Podnar, Peter Cernelc, Miran Brvar, Mateja Zalaznik, Mateja Notar, Saso Moskon, Marko Notar
2019 J jnl
AgroDSS: A decision support system for agriculture and farming.
Comput. Electron. Agric.
Rok Rupnik, Matjaz Kukar, Petar Vracar, Domen Kosir, Darko Pevec, Zoran Bosnic
2019 J jnl
Frequent subgraph mining in oceanographic multi-level directed graphs.
Int. J. Geogr. Inf. Sci.
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
2018 J jnl
A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals.
Comput. Methods Programs Biomed.
Jana Faganeli Pucer, Matjaz Kukar
2015 J jnl
Dynamic fuzzy paths and cycles in multi-level directed graphs.
Eng. Appl. Artif. Intell.
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
2015 — conf
Learning from depth sensor data using inductive logic programming.
ICAT
Miha Drole, Petar Vracar, Ante Panjkota, Ivo Stancic, Josip Music, Igor Kononenko, Matjaz Kukar
2014 A conf
Automatization of the Stream Mining Process.
CAiSE
Lovro Subelj, Zoran Bosnic, Matjaz Kukar, Marko Bajec
2013 J jnl
Explanation and Reliability of Individual Predictions.
Informatica (Slovenia)
Igor Kononenko, Erik Strumbelj, Zoran Bosnic, Darko Pevec, Matjaz Kukar, Marko Robnik-Sikonja
2013 J jnl
Multi-level association rules and directed graphs for spatial data analysis.
Expert Syst. Appl.
Boris Petelin, Igor Kononenko, Vlado Malacic, Matjaz Kukar
2012 — conf
Reservoir sampling techniques in modern data analysis.
BCI
Anze Pecar, Miha Zidar, Matjaz Kukar
2011 J jnl
Image processing and machine learning for fully automated probabilistic evaluation of medical images.
Comput. Methods Programs Biomed.
Luka Sajn, Matjaz Kukar
2011 J jnl
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease.
Artif. Intell. Medicine
Matjaz Kukar, Igor Kononenko, Ciril Groselj
2011 — conf
Supporting Diagnostics of Coronary Artery Disease with Neural Networks.
ICANNGA (1)
Matjaz Kukar, Ciril Groselj
2010 J jnl
Separating Interleaved HTTP Sessions Using a Stochastic Model.
Informatica (Slovenia)
Marko Pozenel, Viljan Mahnic, Matjaz Kukar
2010 A* conf
Separation of Interleaved Web Sessions with Heuristic Search.
ICDM
Marko Pozenel, Viljan Mahnic, Matjaz Kukar
2009 B conf
Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study.
AIME
Matjaz Kukar, Luka Sajn
2009 — conf
Supporting Diagnostics of Coronary Artery Disease with Multi-resolution Image Parameterization and Data Mining.
MIRAGE
Matjaz Kukar, Luka Sajn
2007 J jnl
Integrating Data Mining and Decision Support through Data Mining Based Decision Support System.
J. Comput. Inf. Syst.
Rok Rupnik, Matjaz Kukar, Marjan Krisper
2007 B conf
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease.
AIME
Matjaz Kukar, Luka Sajn, Ciril Groselj, Jera Groselj
2007 B conf
Transductive Reliability Estimation for Kernel Based Classifiers.
IDA
Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
2006 J jnl
Quality assessment of individual classifications in machine learning and data mining.
Knowl. Inf. Syst.
Matjaz Kukar
2005 B conf
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics.
AIME
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
2005 J jnl
Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics.
Comput. Methods Programs Biomed.
Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski
2004 J jnl
Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)].
Artif. Intell. Medicine
Matjaz Kukar
2004 A conf
Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability.
ECAI
Matjaz Kukar
2004 A* conf
Transduction and Typicalness for Quality Assessment of Individual Classifications in Machine Learning and Data Mining.
ICDM
Matjaz Kukar
2003 B conf
Drifting Concepts as Hidden Factors in Clinical Studies.
AIME
Matjaz Kukar
2003 J jnl
Transductive reliability estimation for medical diagnosis.
Artif. Intell. Medicine
Matjaz Kukar
2002 — conf
Reliable Classifications with Machine Learning.
ECML
Matjaz Kukar, Igor Kononenko
2002 B conf
Reliable Diagnostics for Coronary Artery Disease.
CBMS
Matjaz Kukar, Ciril Groselj
2001 B conf
Making Reliable Diagnoses with Machine Learning: A Case Study.
AIME
Matjaz Kukar
1999 J jnl
Analysing and improving the diagnosis of ischaemic heart disease with machine learning.
Artif. Intell. Medicine
Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich
1999 — conf
Machine Learning in Stepwise Diagnostic Process.
AIMDM
Matjaz Kukar, Ciril Groselj
1998 A conf
Cost-Sensitive Learning with Neural Networks.
ECAI
Matjaz Kukar, Igor Kononenko
1998 J jnl
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.
AI Commun.
Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
1997 B conf
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease.
AIME
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
1997 B conf
An application of machine learning in the diagnosis of ischaemic heart disease.
CBMS
Matjaz Kukar, Ciril Groselj, Igor Kononenko, Jure Fettich
1996 J jnl
Machine learning in prognosis of the femoral neck fracture recovery.
Artif. Intell. Medicine
Matjaz Kukar, Igor Kononenko, T. Silvester