| Statistical comparisons of classifiers over multiple data sets J Demšar The Journal of Machine learning research 7, 1-30, 2006 | 13450 | 2006 |
| Orange: data mining toolbox in Python J Demšar, T Curk, A Erjavec, Č Gorup, T Hočevar, M Milutinovič, ... the Journal of machine Learning research 14 (1), 2349-2353, 2013 | 2143 | 2013 |
| Orange: From experimental machine learning to interactive data mining J Demšar, B Zupan, G Leban, T Curk Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on …, 2004 | 605 | 2004 |
| Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A Benavoli, G Corani, J Demšar, M Zaffalon The Journal of Machine Learning Research 18 (1), 2653-2688, 2017 | 430 | 2017 |
| A combinatorial approach to graphlet counting T Hočevar, J Demšar Bioinformatics 30 (4), 559-565, 2014 | 254 | 2014 |
| Nomograms for visualization of naive Bayesian classifier M Možina, J Demšar, M Kattan, B Zupan Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on …, 2004 | 209 | 2004 |
| Emotion recognition on twitter: Comparative study and training a unison model N Colnerič, J Demšar IEEE transactions on affective computing 11 (3), 433-446, 2018 | 195 | 2018 |
| Microarray data mining with visual programming T Curk, J Demsar, Q Xu, G Leban, U Petrovic, I Bratko, G Shaulsky, ... Bioinformatics 21 (3), 396-398, 2005 | 194 | 2005 |
| Machine learning for survival analysis: a case study on recurrence of prostate cancer B Zupan, J Demšar, MW Kattan, JR Beck, I Bratko Artificial intelligence in medicine 20 (1), 59-75, 2000 | 174 | 2000 |
| Epistasis analysis with global transcriptional phenotypes N Van Driessche, J Demsar, EO Booth, P Hill, P Juvan, B Zupan, A Kuspa, ... Nature genetics 37 (5), 471-477, 2005 | 128 | 2005 |
| Learning by discovering concept hierarchies B Zupan, M Bohanec, J Demšar, I Bratko Artificial Intelligence 109 (1-2), 211-242, 1999 | 128 | 1999 |
| Orange: Data mining fruitful and fun-a historical perspective J Demšar, B Zupan Informatica 37 (1), 2013 | 115 | 2013 |
| Machine learning by function decomposition B Zupan, M Bohanec, I Bratko, J Demsar ICML, 421-429, 1997 | 113 | 1997 |
| Nomograms for visualizing support vector machines A Jakulin, M Možina, J Demšar, I Bratko, B Zupan Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 109 | 2005 |
| Visualization-based cancer microarray data classification analysis M Mramor, G Leban, J Demšar, B Zupan Bioinformatics 23 (16), 2147-2154, 2007 | 102 | 2007 |
| FreeViz—An intelligent multivariate visualization approach to explorative analysis of biomedical data J Demšar, G Leban, B Zupan Journal of biomedical informatics 40 (6), 661-671, 2007 | 100 | 2007 |
| Predictive model for survival at the conclusion of a damage control laparotomy N Aoki, MJ Wall, J Demsar, B Zupan, T Granchi, MA Schreiber, ... The American journal of surgery 180 (6), 540-545, 2000 | 97 | 2000 |
| Infrared orange: connecting hyperspectral data with machine learning M Toplak, G Birarda, S Read, C Sandt, SM Rosendahl, L Vaccari, ... Synchrotron Radiation News 30 (4), 40-45, 2017 | 93 | 2017 |
| GenePath: a system for automated construction of genetic networks from mutant data B Zupan, J Demsar, I Bratko, P Juvan, JA Halter, A Kuspa, G Shaulsky Bioinformatics 19 (3), 383-389, 2003 | 84 | 2003 |
| Feature transformation by function decomposition B Zupan, M Bohanec, J Demšar, I Bratko Feature Extraction, Construction and Selection: A Data Mining Perspective …, 1998 | 81 | 1998 |
Gregor LebanJozef Stefan InstituteVerified email at ijs.si
