Matjaz Kukar

发表

A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals

Jana Faganeli Pucer, Matjaz Kukar, M. Kukar, 2018, Comput. Methods Programs Biomed..

Transduction and typicalness for quality assessment of individual classifications in machine learning and data mining

Matjaz Kukar, M. Kukar, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Multi-level association rules and directed graphs for spatial data analysis

Igor Kononenko, Matjaz Kukar, Boris Petelin, 2013, Expert Syst. Appl..

Transductive reliability estimation for medical diagnosis

Matjaz Kukar, M. Kukar, 2003, Artif. Intell. Medicine.

Machine Learning in Stepwise Diagnostic Process

Matjaz Kukar, Ciril Groselj, 1999, AIMDM.

An application of machine learning in the diagnosis of ischaemic heart disease

Igor Kononenko, Matjaz Kukar, Ciril Groselj, 1997, Proceedings of Computer Based Medical Systems.

Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics

Igor Kononenko, Matjaz Kukar, Luka Sajn, 2005, AIME.

Quality assessment of individual classifications in machine learning and data mining

Matjaz Kukar, M. Kukar, 2006, Knowledge and Information Systems.

Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease

Igor Kononenko, Matjaz Kukar, Ciril Groselj, 2011, Artif. Intell. Medicine.

Image processing and machine learning for fully automated probabilistic evaluation of medical images

Matjaz Kukar, Luka Sajn, M. Kukar, 2011, Comput. Methods Programs Biomed..

Reliable Classifications with Machine Learning

Igor Kononenko, Matjaz Kukar, 2002, ECML.

AgroDSS: A decision support system for agriculture and farming

Darko Pevec, Matjaz Kukar, Rok Rupnik, 2019, Comput. Electron. Agric..

Dynamic fuzzy paths and cycles in multi-level directed graphs

Igor Kononenko, Matjaz Kukar, Boris Petelin, 2015, Eng. Appl. Artif. Intell..

Machine learning in prognosis of the femoral neck fracture recovery

Igor Kononenko, Matjaz Kukar, T. Silvester, 1996, Artif. Intell. Medicine.

Automatization of the Stream Mining Process

Marko Bajec, Matjaz Kukar, Lovro Subelj, 2014, CAiSE.

Reservoir sampling techniques in modern data analysis

Matjaz Kukar, Miha Zidar, Anze Pecar, 2012, BCI '12.

Transductive Reliability Estimation for Kernel Based Classifiers

Aristidis Likas, Dimitris Tzikas, Matjaz Kukar, 2007, IDA.

Separation of Interleaved Web Sessions with Heuristic Search

Viljan Mahnic, Matjaz Kukar, Marko Pozenel, 2010, 2010 IEEE International Conference on Data Mining.

Integrating Data Mining and Decision Support through Data Mining Based Decision Support System

Marjan Krisper, Matjaz Kukar, Rok Rupnik, 2007, J. Comput. Inf. Syst..

Supporting Diagnostics of Coronary Artery Disease with Neural Networks

Matjaz Kukar, Ciril Groselj, 2011, ICANNGA.

An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease

Igor Kononenko, Matjaz Kukar, Ciril Groselj, 1997, AIME.

Reliable diagnostics for coronary artery disease

Matjaz Kukar, Ciril Groselj, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

Supporting Diagnostics of Coronary Artery Disease with Multi-resolution Image Parameterization and Data Mining

Matjaz Kukar, Luka Sajn, 2009, MIRAGE.

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

Matjaz Kukar, 2004, Artif. Intell. Medicine.

Analysing and improving the diagnosis of ischaemic heart disease with machine learning

Igor Kononenko, Matjaz Kukar, Ciril Groselj, 1999, Artif. Intell. Medicine.

Learning from depth sensor data using inductive logic programming

Ante Panjkota, Igor Kononenko, Matjaz Kukar, 2015, 2015 XXV International Conference on Information, Communication and Automation Technologies (ICAT).

Estimating Confidence Values of Individual Predictions by their Typicalness and Reliability

Matjaz Kukar, 2004, ECAI.

Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease

Matjaz Kukar, Ciril Groselj, Luka Sajn, 2007, AIME.

Explanation and Reliability of Individual Predictions

Erik Strumbelj, Marko Robnik-Sikonja, Darko Pevec, 2013, Informatica.

Drifting Concepts as Hidden Factors in Clinical Studies

Matjaz Kukar, M. Kukar, 2003, AIME.

Separating Interleaved HTTP Sessions Using a Stochastic Model

Viljan Mahnic, Matjaz Kukar, Marko Pozenel, 2010, Informatica.

Making Reliable Diagnoses with Machine Learning: A Case Study

Matjaz Kukar, 2001, AIME.

Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study

Matjaz Kukar, Luka Sajn, 2009, AIME.

Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics

Igor Kononenko, Matjaz Kukar, Luka Sajn, 2005, Comput. Methods Programs Biomed..

Cost-Sensitive Learning with Neural Networks

Igor Kononenko, Matjaz Kukar, I. Kononenko, 1998, ECAI.

Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction

Elpida T. Keravnou, Nada Lavrac, Blaz Zupan, 1998, AI Commun..