Janez Demsar

According to our database, Janez Demsar authored at least 53 papers between 1996 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Hands-on training about overfitting.

Janez Demsar, Blaz Zupan

PLoS Comput. Biol., 2021

2020

Emotion Recognition on Twitter: Comparative Study and Training a Unison Model.

Niko Colneric, Janez Demsar

IEEE Trans. Affect. Comput., 2020

2019

Extreme value correction: a method for correcting optimistic estimations in rule learning.

Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar

Mach. Learn., 2019

scOrange - a tool for hands-on training of concepts from single-cell data analytics.

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

Bioinform., 2019

2017

Statistical comparison of classifiers through Bayesian hierarchical modelling.

Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon

Mach. Learn., 2017

Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis.

Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon

J. Mach. Learn. Res., 2017

2016

Combinatorial algorithm for counting small induced graphs and orbits.

Tomaz Hocevar, Janez Demsar

CoRR, 2016

Extracting qualitative relations from categorical data.

Jure Zabkar, Ivan Bratko, Janez Demsar

Artif. Intell., 2016

2015

Concurrent software architectures for exploratory data analysis.

Anze Staric, Janez Demsar, Blaz Zupan

WIREs Data Mining Knowl. Discov., 2015

Small network completion using frequent subnetworks.

Matija Polajnar, Janez Demsar

Intell. Data Anal., 2015

CS Unplugged: Experiences and Extensions.

Irena Demsar, Janez Demsar

Proceedings of the Informatics in Schools. Curricula, Competences, and Competitions, 2015

2014

Assessment of Machine Learning Reliability Methods for Quantifying the Applicability Domain of QSAR Regression Models.

Marko Toplak, Rok Mocnik, Matija Polajnar, Zoran Bosnic, Lars Carlsson, Catrin Hasselgren Arnby, Janez Demsar, Scott Boyer, Blaz Zupan, Jonna C. Stålring

J. Chem. Inf. Model., 2014

Visualization and Concept Drift Detection Using Explanations of Incremental Models.

Janez Demsar, Zoran Bosnic, Igor Kononenko

Informatica (Slovenia), 2014

A combinatorial approach to graphlet counting.

Tomaz Hocevar, Janez Demsar

Bioinform., 2014

2013

Orange: data mining toolbox in python.

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

J. Mach. Learn. Res., 2013

Orange: Data Mining Fruitful and Fun - A Historical Perspective.

Janez Demsar, Blaz Zupan

Informatica (Slovenia), 2013

Learning Qualitative Models from Numerical Data: Extended abstract.

Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

Proceedings of the IJCAI 2013, 2013

2012

Computer Aided Melodic Analysis using Suffix Tree.

Matevz Jekovec, Janez Demsar, Andrej Brodnik

Proceedings of the Non-Cochlear Sound: Proceedings of the 38th International Computer Music Conference, 2012

2011

Learning Predictive Qualitative Models with Padé.

Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

Informatica (Slovenia), 2011

Learning qualitative models from numerical data.

Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

Artif. Intell., 2011

2010

Algorithms for subsetting attribute values with Relief.

Janez Demsar

Mach. Learn., 2010

On utility of gene set signatures in gene expression-based cancer class prediction.

Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Curk, Janez Demsar, Blaz Zupan

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

FragViz: visualization of fragmented networks.

Miha Stajdohar, Minca Mramor, Blaz Zupan, Janez Demsar

BMC Bioinform., 2010

2007

FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data.

Janez Demsar, Gregor Leban, Blaz Zupan

J. Biomed. Informatics, 2007

Visualization-based cancer microarray data classification analysis.

Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan

Bioinform., 2007

Discovery of Genetic Networks Through Abduction and Qualitative Simulation.

Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Adam Kuspa, John A. Halter, Gad Shaulsky

Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006

Statistical Comparisons of Classifiers over Multiple Data Sets.

Janez Demsar

J. Mach. Learn. Res., 2006

Why Is Rule Learning Optimistic and How to Correct It.

Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko

Proceedings of the Machine Learning: ECML 2006, 2006

2005

GenePath: from mutations to genetic networks and back.

Peter Juvan, Janez Demsar, Gad Shaulsky, Blaz Zupan

Nucleic Acids Res., 2005

Microarray data mining with visual programming.

Tomaz Curk, Janez Demsar, Qikai Xu, Gregor Leban, Uros Petrovic, Ivan Bratko, Gad Shaulsky, Blaz Zupan

Bioinform., 2005

Nomograms for visualizing support vector machines.

Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models.

Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan

Proceedings of the Artificial Intelligence in Medicine, 2005

2004

Nomograms for Visualization of Naive Bayesian Classifier.

Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Orange: From Experimental Machine Learning to Interactive Data Mining.

Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003

GenePath: a system for automated construction of genetic networks from mutant data.

Blaz Zupan, Janez Demsar, Ivan Bratko, Peter Juvan, John A. Halter, Adam Kuspa, Gad Shaulsky

Bioinform., 2003

GenePath: a system for inference of genetic networks and proposal of genetic experiments.

Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Tomaz Curk, Urban Borstnik, J. Robert Beck, John A. Halter, Adam Kuspa, Gad Shaulsky

Artif. Intell. Medicine, 2003

Attribute Interactions in Medical Data Analysis.

Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez Demsar, Blaz Zupan

Proceedings of the Artificial Intelligence in Medicine, 2003

2002

Prognostic Model for Terminally Ill Cancer Patients on Laboratory Data.

Kenji Hira, Noriaki Aoki, Akitoshi Hayashi, Janez Demsar, Blaz Zupan, Kim Dunn, William Jack Schull, Tsuguya Fukui

Proceedings of the AMIA 2002, 2002

2001

Feature mining and predictive model construction from severe trauma patient's data.

Janez Demsar, Blaz Zupan, Noriaki Aoki, Matthew J. Wall, Thomas H. Granchi, J. Robert Beck

Int. J. Medical Informatics, 2001

GenePath: A Computer Program for Genetic Pathway Discovery from Mutant Data.

Janez Demsar, Blaz Zupan, Ivan Bratko, Adam Kuspa, John A. Halter, Robert J. Beck, Gad Shaulsky

Proceedings of the MEDINFO 2001, 2001

Web-Enabled Knowledge-Based Analysis of Genetic Data.

Peter Juvan, Blaz Zupan, Janez Demsar, Ivan Bratko, John A. Halter, Adam Kuspa, Gad Shaulsky

Proceedings of the Medical Data Analysis, Second International Symposium, 2001

Abductive Inference of Genetic Networks.

Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky

Proceedings of the Artificial Intelligence Medicine, 2001

Function Decomposition in Machine Learning.

Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar

Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

Transformation of attribute space by function decomposition.

Janez Demsar, Blaz Zupan, Ivan Bratko

Proceedings of the Data Fusion and Perception, 2001

2000

Machine learning for survival analysis: a case study on recurrence of prostate cancer.

Blaz Zupan, Janez Demsar, Michael W. Kattan, J. Robert Beck, Ivan Bratko

Artif. Intell. Medicine, 2000

Induction of Concept Hierarchies from Noisy Data.

Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Learning by Discovering Concept Hierarchies.

Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko

Artif. Intell., 1999

Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence.

Janez Demsar, Blaz Zupan, Michael W. Kattan, J. Robert Beck, Ivan Bratko

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

Image Retrieval System Based on Machine Learning and Using Color Features.

Janez Demsar, Dragan Radolovic, Franc Solina

Proceedings of the Computer Analysis of Images and Patterns, 8th International Conference, 1999

1998

Feature Transformation by Function Decomposition.

Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko

IEEE Intell. Syst., 1998

1997

Machine Learning by Function Decomposition.

Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Constructing Intermediate Concepts by Decomposition of Real Functions.

Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko

Proceedings of the Machine Learning: ECML-97, 1997

1996

Using machine learning for content-based image retrieving.

Janez Demsar, Franc Solina

Proceedings of the 13th International Conference on Pattern Recognition, 1996