Demšar, Janez

11 publications

MLJ 2019 Extreme Value Correction: A Method for Correcting Optimistic Estimations in Rule Learning Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar

MLJ 2017 Statistical Comparison of Classifiers Through Bayesian Hierarchical Modelling Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon

JMLR 2017 Time for a Change: A Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis Alessio Benavoli, Giorgio Corani, Janez Demšar, Marco Zaffalon

IJCAI 2013 Learning Qualitative Models from Numerical Data: Extended Abstract Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

MLOSS 2013 Orange: Data Mining Toolbox in Python Janez Demšar, Tomaž Curk, Aleš Erjavec, Črt Gorup, Tomaž Hočevar, Mitar Milutinovič, Martin Možina, Matija Polajnar, Marko Toplak, Anže Starič, Miha Štajdohar, Lan Umek, Lan Žagar, Jure Žbontar, Marinka Žitnik, Blaž Zupan

MLJ 2010 Algorithms for Subsetting Attribute Values with Relief Janez Demsar

JMLR 2006 Statistical Comparisons of Classifiers over Multiple Data Sets Janez Demšar

ECML-PKDD 2006 Why Is Rule Learning Optimistic and How to Correct It Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko

ICML 2000 Induction of Concept Hierarchies from Noisy Data Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar

ECML-PKDD 1997 Constructing Intermediate Concepts by Decomposition of Real Functions Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko

ICML 1997 Machine Learning by Function Decomposition Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar