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ORCIDJanez Demsar
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- affiliation: University of Ljubljana, Slovenia
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2020 – today
- 2021
[j29]Janez Demsar, Blaz Zupan
:
Hands-on training about overfitting. PLoS Comput. Biol. 17(3) (2021)- 2020
- [j28]Niko Colneric, Janez Demsar:
Emotion Recognition on Twitter: Comparative Study and Training a Unison Model. IEEE Trans. Affect. Comput. 11(3): 433-446 (2020)
2010 – 2019
- 2019
- [j27]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): i4-i12 (2019) - [j26]Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar:
Extreme value correction: a method for correcting optimistic estimations in rule learning. Mach. Learn. 108(2): 297-329 (2019) - 2017
- [j25]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: 77:1-77:36 (2017) - [j24]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. 106(11): 1817-1837 (2017) - 2016
- [j23]Jure Zabkar, Ivan Bratko, Janez Demsar:
Extracting qualitative relations from categorical data. Artif. Intell. 239: 54-69 (2016) - [i3]Tomaz Hocevar, Janez Demsar:
Combinatorial algorithm for counting small induced graphs and orbits. CoRR abs/1601.06834 (2016) - [i2]Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon:
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR abs/1606.04316 (2016) - [i1]Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon:
Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR abs/1609.08905 (2016) - 2015
- [j22]Matija Polajnar, Janez Demsar:
Small network completion using frequent subnetworks. Intell. Data Anal. 19(1): 89-108 (2015) - [j21]Anze Staric, Janez Demsar, Blaz Zupan:
Concurrent software architectures for exploratory data analysis. WIREs Data Mining Knowl. Discov. 5(4): 165-180 (2015) - [c22]Irena Demsar, Janez Demsar:
CS Unplugged: Experiences and Extensions. ISSEP 2015: 106-117 - 2014
- [j20]Tomaz Hocevar, Janez Demsar:
A combinatorial approach to graphlet counting. Bioinform. 30(4): 559-565 (2014) - [j19]Janez Demsar, Zoran Bosnic, Igor Kononenko:
Visualization and Concept Drift Detection Using Explanations of Incremental Models. Informatica (Slovenia) 38(4) (2014) - [j18]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): 431-441 (2014) - 2013
- [j17]Janez Demsar, Blaz Zupan:
Orange: Data Mining Fruitful and Fun - A Historical Perspective. Informatica (Slovenia) 37(1): 55-60 (2013) - [j16]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): 2349-2353 (2013) - [c21]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI 2013: 3195-3200 - 2012
- [c20]Matevz Jekovec, Janez Demsar, Andrej Brodnik:
Computer Aided Melodic Analysis using Suffix Tree. ICMC 2012 - 2011
- [j15]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning qualitative models from numerical data. Artif. Intell. 175(9-10): 1604-1619 (2011) - [j14]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) 35(4): 435-444 (2011) - 2010
- [j13]Miha Stajdohar, Minca Mramor, Blaz Zupan, Janez Demsar:
FragViz: visualization of fragmented networks. BMC Bioinform. 11: 475 (2010) - [j12]Janez Demsar:
Algorithms for subsetting attribute values with Relief. Mach. Learn. 78(3): 421-428 (2010) - [c19]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: 55-64
2000 – 2009
- 2007
- [j11]Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan:
Visualization-based cancer microarray data classification analysis. Bioinform. 23(16): 2147-2154 (2007) - [j10]Janez Demsar, Gregor Leban, Blaz Zupan:
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data. J. Biomed. Informatics 40(6): 661-671 (2007) - [p2]Blaz Zupan, Ivan Bratko, Janez Demsar, Peter Juvan, Adam Kuspa, John A. Halter, Gad Shaulsky:
Discovery of Genetic Networks Through Abduction and Qualitative Simulation. Computational Discovery of Scientific Knowledge 2007: 228-247 - 2006
- [j9]Janez Demsar:
Statistical Comparisons of Classifiers over Multiple Data Sets. J. Mach. Learn. Res. 7: 1-30 (2006) - [c18]Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko:
Why Is Rule Learning Optimistic and How to Correct It. ECML 2006: 330-340 - 2005
- [j8]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): 396-398 (2005) - [j7]Peter Juvan, Janez Demsar, Gad Shaulsky, Blaz Zupan:
GenePath: from mutations to genetic networks and back. Nucleic Acids Res. 33(Web-Server-Issue): 749-752 (2005) - [c17]Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan:
Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models. AIME 2005: 514-523 - [c16]Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan:
Nomograms for visualizing support vector machines. KDD 2005: 108-117 - 2004
- [c15]Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan:
Nomograms for Visualization of Naive Bayesian Classifier. PKDD 2004: 337-348 - [c14]Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk:
Orange: From Experimental Machine Learning to Interactive Data Mining. PKDD 2004: 537-539 - 2003
- [j6]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): 107-130 (2003) - [j5]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): 383-389 (2003) - [c13]Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez Demsar, Blaz Zupan:
Attribute Interactions in Medical Data Analysis. AIME 2003: 229-238 - 2002
- [c12]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 - 2001
- [j4]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): 41-50 (2001) - [c11]Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar:
Function Decomposition in Machine Learning. Machine Learning and Its Applications 2001: 71-101 - [c10]Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky:
Abductive Inference of Genetic Networks. AIME 2001: 304-313 - [c9]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: 113-119 - [c8]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: 956-959 - [p1]Janez Demsar, Blaz Zupan, Ivan Bratko:
Transformation of attribute space by function decomposition. Data Fusion and Perception 2001: 237-247 - 2000
- [j3]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): 59-75 (2000) - [c7]Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar:
Induction of Concept Hierarchies from Noisy Data. ICML 2000: 1199-1206
1990 – 1999
- 1999
- [j2]Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko:
Learning by Discovering Concept Hierarchies. Artif. Intell. 109(1-2): 211-242 (1999) - [c6]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: 346-355 - [c5]Janez Demsar, Dragan Radolovic, Franc Solina:
Image Retrieval System Based on Machine Learning and Using Color Features. CAIP 1999: 480-488 - [c4]Janez Demsar, Blaz Zupan, Michael W. Kattan, J. Robert Beck, Ivan Bratko:
Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence. MIE 1999: 436-441 - 1998
- [j1]Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Bratko:
Feature Transformation by Function Decomposition. IEEE Intell. Syst. 13(2): 38-43 (1998) - 1997
- [c3]Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko:
Constructing Intermediate Concepts by Decomposition of Real Functions. ECML 1997: 93-107 - [c2]Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar:
Machine Learning by Function Decomposition. ICML 1997: 421-429 - 1996
- [c1]Janez Demsar, Franc Solina:
Using machine learning for content-based image retrieving. ICPR 1996: 138-142
Coauthor Index
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