J. Demšar

发表

Statistical Comparisons of Classifiers over Multiple Data Sets

Janez Demsar, J. Demšar, 2006, J. Mach. Learn. Res..

Epistasis analysis with global transcriptional phenotypes

Ezgi O. Booth, G. Shaulsky, J. Demšar, 2005, Nature Genetics.

Computer Aided Melodic Analysis using Suffix Tree

Janez Demsar, Andrej Brodnik, Matevz Jekovec, 2012, ICMC.

Statistical approach for forecasting road surface temperature

J. Demšar, R. Kršmanc, A. Slak, 2013 .

Induction of Hypotheses Concerning Hip Arthroplasty: A Modified Methodology for Medical Research

V Stankovski, I. Bratko, J. Demšar, 2001, Methods of Information in Medicine.

Learning Qualitative Models through Partial Derivatives by Padé

Ivan Bratko, Janez Demšar, Jure Žabkar, 2007 .

Qualitatively Constrained Equation Discovery

I. Bratko, J. Demšar, A. Sadikov, 2007 .

Predictive model for survival at the conclusion of a damage control laparotomy.

J R Beck, K L Mattox, M A Schreiber, 2000, American journal of surgery.

Searching for faces in image data bases using machine learning

Franc Solina, Janez Demšar, F. Solina, 1996 .

Machine learning for content based image retrieving

Franc Solina, Janez Demšar, F. Solina, 1999 .

Model Evaluation

J. Demšar, Ajda Pretnar Žagar, 2022, Applied Data Science in Tourism.

Seroprevalence of severe acute respiratory syndrome coronavirus 2 in Slovenia: results of two rounds of a nationwide population study on a probability-based sample, challenges and lessons learned

M. Poljak, K. Seme, J. Demšar, 2021, Clinical Microbiology and Infection.

Finding Patterns in Class-Labeled Data Using Data Visualization

Ivan Bratko, Janez Demšar, Gregor Leban, 2008 .

Orange: data mining toolbox in python

Martin Mozina, Marinka Zitnik, Blaz Zupan, 2013, J. Mach. Learn. Res..

Nomograms for Visualization of Naive Bayesian Classifier

Martin Mozina, Blaz Zupan, Michael W. Kattan, 2004, PKDD.

Infrared Orange: Connecting Hyperspectral Data with Machine Learning

Lisa Vaccari, M. Toplak, Giovanni Birarda, 2017 .

Combinatorial algorithm for counting small induced graphs and orbits

Janez Demsar, Tomaz Hocevar, J. Demšar, 2017, PloS one.

A combinatorial approach to graphlet counting

Janez Demsar, Tomaz Hocevar, J. Demšar, 2014, Bioinform..

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

Janez Demšar, Niko Colneriĉ, J. Demšar, 2020, IEEE Transactions on Affective Computing.

Extracting qualitative relations from categorical data

Ivan Bratko, Jure Zabkar, Janez Demsar, 2016, Artif. Intell..

FragViz: visualization of fragmented networks

Blaz Zupan, Janez Demsar, Minca Mramor, 2010, BMC Bioinformatics.

Preference learning from qualitative partial derivatives

Ivan Bratko, Martin Možina, Janez Demšar, 2010 .

Nomograms for visualizing support vector machines

Ivan Bratko, Martin Mozina, Blaz Zupan, 2005, KDD '05.

Nomograms for Visualizing Linear Support Vector Machines

Ivan Bratko, Blaz Zupan, Aleks Jakulin, 2004 .

Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer

Ivan Bratko, Blaz Zupan, Michael W. Kattan, 1999, AIMDM.

Discovery of Genetic Networks Through Abduction and Qualitative Simulation

Ivan Bratko, Blaz Zupan, John A. Halter, 2007, Computational Discovery of Scientific Knowledge.

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

Ivan Bratko, Blaz Zupan, John A. Halter, 2003, Artif. Intell. Medicine.

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

Ivan Bratko, Blaz Zupan, John A. Halter, 2003, Bioinform..

Orange: Data Mining Fruitful and Fun - A Historical Perspective

Blaz Zupan, Janez Demsar, J. Demšar, 2013, Informatica.

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

Anup Parikh, Blaz Zupan, Janez Demsar, 2019, Bioinform..

Low prevalence of active COVID-19 in Slovenia: a nationwide population study of a probability-based sample

M. Poljak, J. Demšar, B. Zupan, 2020, Clinical Microbiology and Infection.

Democratized image analytics by visual programming through integration of deep models and small-scale machine learning

Blaž Zupan, Marko Toplak, Ajda Pretnar, 2019, Nature Communications.

Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis pdf

Marco Zaffalon, Alessio Benavoli, Janez Demsar, 2016, J. Mach. Learn. Res..

Data and text mining Visualization-based cancer microarray data classification analysis

Blaz Zupan, Janez Demsar, Gregor Leban, 2007 .

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

Blaz Zupan, Janez Demsar, Gregor Leban, 2005, AIME.

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

Blaz Zupan, Janez Demsar, J. Robert Beck, 2001, Int. J. Medical Informatics.

Interactive network exploration with Orange

Miha Štajdohar, Janez Demšar, J. Demšar, 2013 .

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

Blaz Zupan, Janez Demsar, Gregor Leban, 2007, J. Biomed. Informatics.

Small network completion using frequent subnetworks

Janez Demsar, Matija Polajnar, J. Demšar, 2015, Intell. Data Anal..

Orange: From Experimental Machine Learning to Interactive Data Mining

Blaz Zupan, Tomaz Curk, Janez Demsar, 2004, PKDD.

Learning by Discovering Concept Hierarchies

Ivan Bratko, Blaz Zupan, Marko Bohanec, 1999, Artif. Intell..

Predictive model for estimating risk of crush syndrome: a data mining approach.

Martin Mozina, Blaz Zupan, Janez Demsar, 2007, The Journal of trauma.

Hands-on training about overfitting

Blaz Zupan, Janez Demsar, J. Demšar, 2021, PLoS Comput. Biol..

Microarray data mining with visual programming

Ivan Bratko, Blaz Zupan, Tomaz Curk, 2005, Bioinform..

Attribute Interactions in Medical Data Analysis

Ivan Bratko, Blaz Zupan, Aleks Jakulin, 2003, AIME.

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

Scott Boyer, Blaz Zupan, Lars Carlsson, 2014, J. Chem. Inf. Model..

Computation of Graphlet Orbits for Nodes and Edges in Sparse Graphs

Janez Demšar, Tomaž Hočevar, J. Demšar, 2016 .

Orange and Decisions-at-Hand: Bridging Predictive Data Mining and Decision Support

Michael W. Kattan, Janez Demšar, Marko Bohanec, 2001 .

Orange and Decisions-at-Hand : Bridging Medical Data Mining and Decision Support

J. Demšar, B. Zupan, J. Beck, 2001 .

Prognostic Model for Terminally Ill Cancer Patients on Laboratory Data

Blaz Zupan, Janez Demsar, Kim Dunn, 2002, American Medical Informatics Association Annual Symposium.

Open-source tools for data mining.

Blaz Zupan, Janez Demsar, J. Demšar, 2008, Clinics in laboratory medicine.

Statistical comparison of classifiers through Bayesian hierarchical modelling

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2016, Machine Learning.

Web-Enabled Knowledge-Based Analysis of Genetic Data

Ivan Bratko, Blaz Zupan, John A. Halter, 2001, ISMDA.

Concurrent software architectures for exploratory data analysis

Blaz Zupan, Janez Demsar, Anze Staric, 2015, WIREs Data Mining Knowl. Discov..

Statistical Comparisons of Classifiers over Multiple Data Sets

J. Demšar, 2006, J. Mach. Learn. Res..

ORANGE : DATA MINING FRUITFUL AND FUN

Janez Demšar, Blaž Zupan, J. Demšar, 2012 .

Transformation of attribute space by function decomposition

Ivan Bratko, Blaz Zupan, Janez Demsar, 2001, Data Fusion and Perception.

Visualization-based cancer microarray data classification analysis.

J. Demšar, B. Zupan, M. Mramor, 2007, Bioinformatics.

On the Appropriateness of Statistical Tests in Machine Learning

J. Demšar, 2008 .

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

Blaz Zupan, Tomaz Curk, Janez Demsar, 2009, MLSB.

Statistical comparison of classiﬁers through Bayesianhierarchical modelling

Janez Demšar, Marco Zaffalon, Francesca Mangili, 2016 .

Algorithms for subsetting attribute values with Relief

Janez Demsar, J. Demšar, 2010, Machine Learning.

Impact of Substrate Characteristics on Performance of Large Area Plasmonic Photoconductive Emitters

E. M. Krivoy, P. Taday, J. Demšar, 2022 .

Statistical Comparisons of Classifiers over Multiple Data Sets

J. Demšar, 2006, J. Mach. Learn. Res..

Predicting Patient’s Long-Term Clinical Status after Hip Arthroplasty Using Hierarchical Decision Modelling and Data Mining

J R Beck, V Stankovski, B Zupan, 2001, Methods of Information in Medicine.

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

Ivan Bratko, Martin Mozina, Jure Zabkar, 2018, Machine Learning.