Janez Demsar

Publication Activity (10 Years)

Years Active: 1996-2021
Publications (10 Years): 10

Top Topics

Multiple Classifiers

Top Venues

Informatica (Slovenia)

Publications

Janez Demsar, Blaz Zupan
Hands-on training about overfitting. PLoS Comput. Biol. 17 (3) (2021)
Niko Colneric, Janez Demsar
Emotion Recognition on Twitter: Comparative Study and Training a Unison Model. IEEE Trans. Affect. Comput. 11 (3) (2020)
Martin Strazar, Lan Zagar, Jaka Kokosar, Vesna Tanko, Ales Erjavec, Pavlin G. Policar, Anze Staric, Janez Demsar, Gad Shaulsky, Vilas Menon, Andrew Lemire, Anup Parikh, Blaz Zupan
scOrange - a tool for hands-on training of concepts from single-cell data analytics. Bioinform. 35 (14) (2019)
Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar
Extreme value correction: a method for correcting optimistic estimations in rule learning. Mach. Learn. 108 (2) (2019)
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106 (11) (2017)
Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. 18 (2017)
Jure Zabkar, Ivan Bratko, Janez Demsar
Extracting qualitative relations from categorical data. Artif. Intell. 239 (2016)
Tomaz Hocevar, Janez Demsar
Combinatorial algorithm for counting small induced graphs and orbits. CoRR (2016)
Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR (2016)
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR (2016)
Anze Staric, Janez Demsar, Blaz Zupan
Concurrent software architectures for exploratory data analysis. WIREs Data Mining Knowl. Discov. 5 (4) (2015)
Irena Demsar, Janez Demsar
CS Unplugged: Experiences and Extensions. ISSEP (2015)
Matija Polajnar, Janez Demsar
Small network completion using frequent subnetworks. Intell. Data Anal. 19 (1) (2015)
Janez Demsar, Zoran Bosnic, Igor Kononenko
Visualization and Concept Drift Detection Using Explanations of Incremental Models. Informatica (Slovenia) 38 (4) (2014)
Tomaz Hocevar, Janez Demsar
A combinatorial approach to graphlet counting. Bioinform. 30 (4) (2014)
Marko Toplak, Rok Mocnik, Matija Polajnar, Zoran Bosnic, Lars Carlsson, Catrin Hasselgren Arnby, Janez Demsar, Scott Boyer, Blaz Zupan, Jonna C. Stålring
Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models. J. Chem. Inf. Model. 54 (2) (2014)
Janez Demsar, Tomaz Curk, Ales Erjavec, Crtomir Gorup, Tomaz Hocevar, Mitar Milutinovic, Martin Mozina, Matija Polajnar, Marko Toplak, Anze Staric, Miha Stajdohar, Lan Umek, Lan Zagar, Jure Zbontar, Marinka Zitnik, Blaz Zupan
Orange: data mining toolbox in python. J. Mach. Learn. Res. 14 (1) (2013)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI (2013)
Janez Demsar, Blaz Zupan
Orange: Data Mining Fruitful and Fun - A Historical Perspective. Informatica (Slovenia) 37 (1) (2013)
Matevz Jekovec, Janez Demsar, Andrej Brodnik
Computer Aided Melodic Analysis using Suffix Tree. ICMC (2012)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) 35 (4) (2011)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
Learning qualitative models from numerical data. Artif. Intell. 175 (9-10) (2011)
Miha Stajdohar, Minca Mramor, Blaz Zupan, Janez Demsar
FragViz: visualization of fragmented networks. BMC Bioinform. 11 (2010)
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Curk, Janez Demsar, Blaz Zupan
On utility of gene set signatures in gene expression-based cancer class prediction. MLSB (2010)
Janez Demsar
Algorithms for subsetting attribute values with Relief. Mach. Learn. 78 (3) (2010)
Janez Demsar, Gregor Leban, Blaz Zupan
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data. J. Biomed. Informatics 40 (6) (2007)
Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan
Visualization-based cancer microarray data classification analysis. Bioinform. 23 (16) (2007)
Janez Demsar
Statistical Comparisons of Classifiers over Multiple Data Sets. J. Mach. Learn. Res. 7 (2006)
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko
Why Is Rule Learning Optimistic and How to Correct It. ECML (2006)
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan
Nomograms for visualizing support vector machines. KDD (2005)
Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan
Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models. AIME (2005)
Tomaz Curk, Janez Demsar, Qikai Xu, Gregor Leban, Uros Petrovic, Ivan Bratko, Gad Shaulsky, Blaz Zupan
Microarray data mining with visual programming. Bioinform. 21 (3) (2005)
Peter Juvan, Janez Demsar, Gad Shaulsky, Blaz Zupan
GenePath: from mutations to genetic networks and back. Nucleic Acids Res. 33 (Web-Server-Issue) (2005)
Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan
Nomograms for Visualization of Naive Bayesian Classifier. PKDD (2004)
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
Orange: From Experimental Machine Learning to Interactive Data Mining. PKDD (2004)
Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Tomaz Curk, Urban Borstnik, J. Robert Beck, John A. Halter, Adam Kuspa, Gad Shaulsky
GenePath: a system for inference of genetic networks and proposal of genetic experiments. Artif. Intell. Medicine 29 (1-2) (2003)
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez Demsar, Blaz Zupan
Attribute Interactions in Medical Data Analysis. AIME (2003)
Blaz Zupan, Janez Demsar, Ivan Bratko, Peter Juvan, John A. Halter, Adam Kuspa, Gad Shaulsky
GenePath: a system for automated construction of genetic networks from mutant data. Bioinform. 19 (3) (2003)
Kenji Hira, Noriaki Aoki, Akitoshi Hayashi, Janez Demsar, Blaz Zupan, Kim Dunn, William Jack Schull, Tsuguya Fukui
Prognostic Model for Terminally Ill Cancer Patients on Laboratory Data. AMIA (2002)
Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky
Abductive Inference of Genetic Networks. AIME (2001)
Janez Demsar, Blaz Zupan, Noriaki Aoki, Matthew J. Wall, Thomas H. Granchi, J. Robert Beck
Feature mining and predictive model construction from severe trauma patient's data. Int. J. Medical Informatics 63 (1-2) (2001)
Peter Juvan, Blaz Zupan, Janez Demsar, Ivan Bratko, John A. Halter, Adam Kuspa, Gad Shaulsky
Web-Enabled Knowledge-Based Analysis of Genetic Data. ISMDA (2001)
Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar
Function Decomposition in Machine Learning. Machine Learning and Its Applications (2001)
Janez Demsar, Blaz Zupan, Ivan Bratko, Adam Kuspa, John A. Halter, Robert J. Beck, Gad Shaulsky
GenePath: A Computer Program for Genetic Pathway Discovery from Mutant Data. MedInfo (2001)
Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar
Induction of Concept Hierarchies from Noisy Data. ICML (2000)
Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko
Machine learning for survival analysis: a case study on recurrence of prostate cancer. Artif. Intell. Medicine 20 (1) (2000)
Janez Demsar, Blaz Zupan, Michael W. Kattan, J. Robert Beck, Ivan Bratko
Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence. MIE (1999)
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko
Learning by Discovering Concept Hierarchies. Artif. Intell. 109 (1-2) (1999)
Janez Demsar, Dragan Radolovic, Franc Solina
Image Retrieval System Based on Machine Learning and Using Color Features. CAIP (1999)
Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko
Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer. AIMDM (1999)
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko
Feature Transformation by Function Decomposition. IEEE Intell. Syst. 13 (2) (1998)
Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko
Constructing Intermediate Concepts by Decomposition of Real Functions. ECML (1997)
Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar
Machine Learning by Function Decomposition. ICML (1997)
Janez Demsar, Franc Solina
Using machine learning for content-based image retrieving. ICPR (1996)