Gregor Leban

Marko Grobelnik, Dunja Mladenic, Gregor Leban, Tadej Stajner: Machine Learning Techniques for Understanding Context and Process. Context and Semantics for Knowledge Management 2011: 127-145

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. Journal of Machine Learning Research - Proceedings Track 8: 55-64 (2010)

Gregor Leban, Marko Grobelnik: Displaying Email-related Contextual Information using Contextify. ISWC Posters&Demos 2010

Gregor Leban, Jure Zabkar, Ivan Bratko: An Experiment in Robot Discovery with ILP. ILP 2008: 77-90

Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan: Visualization-based cancer microarray data classification analysis. Bioinformatics 23(16): 2147-2154 (2007)

Janez Demsar, Gregor Leban, Blaz Zupan: FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data. Journal of Biomedical Informatics 40(6): 661-671 (2007)

Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko: VizRank: Data Visualization Guided by Machine Learning. Data Min. Knowl. Discov. 13(2): 119-136 (2006)

Tomaz Curk, Janez Demsar, Qikai Xu, Gregor Leban, Uros Petrovic, Ivan Bratko, Gad Shaulsky, Blaz Zupan: Microarray data mining with visual programming. Bioinformatics 21(3): 396-398 (2005)

Gregor Leban, Ivan Bratko, Uros Petrovic, Tomaz Curk, Blaz Zupan: VizRank: finding informative data projections in functional genomics by machine learning. Bioinformatics 21(3): 413-414 (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: 514-523

Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupan: Simple and effective visual models for gene expression cancer diagnostics. KDD 2005: 167-176

Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk: Orange: From Experimental Machine Learning to Interactive Data Mining. PKDD 2004: 537-539