| 2008 |
| 44 | EE | Martin Znidarsic,
Marko Bohanec,
Blaz Zupan:
Modelling impacts of cropping systems: Demands and solutions for DEX methodology.
European Journal of Operational Research 189(3): 594-608 (2008) |
| 2007 |
| 43 | EE | 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 |
| 42 | EE | Minca Mramor,
Gregor Leban,
Janez Demsar,
Blaz Zupan:
Visualization-based cancer microarray data classification analysis.
Bioinformatics 23(16): 2147-2154 (2007) |
| 41 | EE | J. Zucko,
N. Skunca,
Tomaz Curk,
Blaz Zupan,
P. F. Long,
J. Cullum,
R. H. Kessin,
D. Hranueli:
Polyketide synthase genes and the natural products potential of Dictyostelium discoideum.
Bioinformatics 23(19): 2543-2549 (2007) |
| 40 | EE | 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) |
| 39 | EE | Riccardo Bellazzi,
Blaz Zupan:
Towards knowledge-based gene expression data mining.
Journal of Biomedical Informatics 40(6): 787-802 (2007) |
| 2006 |
| 38 | EE | Andrej Bratko,
Bogdan Filipic,
Blaz Zupan:
Towards Practical PPM Spam Filtering: Experiments for the TREC 2006 Spam Track.
TREC 2006 |
| 37 | EE | Blaz Zupan,
John H. Holmes,
Riccardo Bellazzi:
Knowledge-based data analysis and interpretation.
Artificial Intelligence in Medicine 37(3): 163-165 (2006) |
| 36 | EE | Gregor Leban,
Blaz Zupan,
Gaj Vidmar,
Ivan Bratko:
VizRank: Data Visualization Guided by Machine Learning.
Data Min. Knowl. Discov. 13(2): 119-136 (2006) |
| 35 | EE | Martin Znidarsic,
Marko Bohanec,
Blaz Zupan:
proDEX - A DSS tool for environmental decision-making.
Environmental Modelling and Software 21(10): 1514-1516 (2006) |
| 34 | EE | Andrej Bratko,
Gordon V. Cormack,
Bogdan Filipic,
Thomas R. Lynam,
Blaz Zupan:
Spam Filtering Using Statistical Data Compression Models.
Journal of Machine Learning Research 6: 2673-2698 (2006) |
| 2005 |
| 33 | EE | 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 |
| 32 | EE | Aleks Jakulin,
Martin Mozina,
Janez Demsar,
Ivan Bratko,
Blaz Zupan:
Nomograms for visualizing support vector machines.
KDD 2005: 108-117 |
| 31 | EE | Gregor Leban,
Minca Mramor,
Ivan Bratko,
Blaz Zupan:
Simple and effective visual models for gene expression cancer diagnostics.
KDD 2005: 167-176 |
| 30 | | Nada Lavrac,
Blaz Zupan:
Data Mining in Medicine.
The Data Mining and Knowledge Discovery Handbook 2005: 1107-1138 |
| 29 | EE | 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) |
| 28 | EE | 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) |
| 27 | EE | Peter Juvan,
Janez Demsar,
Gad Shaulsky,
Blaz Zupan:
GenePath: from mutations to genetic networks and back.
Nucleic Acids Research 33(Web-Server-Issue): 749-752 (2005) |
| 2004 |
| 26 | EE | Martin Mozina,
Janez Demsar,
Michael W. Kattan,
Blaz Zupan:
Nomograms for Visualization of Naive Bayesian Classifier.
PKDD 2004: 337-348 |
| 25 | EE | Janez Demsar,
Blaz Zupan,
Gregor Leban,
Tomaz Curk:
Orange: From Experimental Machine Learning to Interactive Data Mining.
PKDD 2004: 537-539 |
| 24 | EE | Marko Bohanec,
Blaz Zupan:
A function-decomposition method for development of hierarchical multi-attribute decision models.
Decision Support Systems 36(3): 215-233 (2004) |
| 2003 |
| 23 | EE | Aleks Jakulin,
Ivan Bratko,
Dragica Smrke,
Janez Demsar,
Blaz Zupan:
Attribute Interactions in Medical Data Analysis.
AIME 2003: 229-238 |
| 22 | EE | 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.
Artificial Intelligence in Medicine 29(1-2): 107-130 (2003) |
| 21 | | 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.
Bioinformatics 19(3): 383-389 (2003) |
| 2002 |
| 20 | | Marjan Krisper,
Blaz Zupan:
Construction and application of hierarchical socioeconomic decision models.
Informatica (Slovenia) 26(1): (2002) |
| 2001 |
| 19 | EE | Blaz Zupan,
Ivan Bratko,
Janez Demsar,
J. Robert Beck,
Adam Kuspa,
Gad Shaulsky:
Abductive Inference of Genetic Networks.
AIME 2001: 304-313 |
| 18 | EE | 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 |
| 17 | EE | Blaz Zupan,
Ivan Bratko,
Marko Bohanec,
Janez Demsar:
Function Decomposition in Machine Learning.
Machine Learning and Its Applications 2001: 71-101 |
| 2000 |
| 16 | | Blaz Zupan,
Ivan Bratko,
Marko Bohanec,
Janez Demsar:
Induction of Concept Hierarchies from Noisy Data.
ICML 2000: 1199-1206 |
| 15 | | 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.
Artificial Intelligence in Medicine 20(1): 59-75 (2000) |
| 1999 |
| 14 | EE | 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 |
| 13 | EE | Nada Lavrac,
Peter A. Flach,
Blaz Zupan:
Rule Evaluation Measures: A Unifying View.
ILP 1999: 174-185 |
| 12 | EE | Blaz Zupan,
Marko Bohanec,
Janez Demsar,
Ivan Bratko:
Learning by Discovering Concept Hierarchies.
Artif. Intell. 109(1-2): 211-242 (1999) |
| 1998 |
| 11 | | Nada Lavrac,
Blaz Zupan,
Igor Kononenko,
Matjaz Kukar,
Elpida T. Keravnou:
Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.
AI Commun. 11(3-4): 191-218 (1998) |
| 10 | | Blaz Zupan,
Saso Dzeroski:
Acquiring background knowledge for machine learning using function decomposition: a case study in rheumatology.
Artificial Intelligence in Medicine 14(1-2): 101-117 (1998) |
| 9 | | Blaz Zupan,
Marko Bohanec,
Janez Demsar,
Ivan Bratko:
Feature Transformation by Function Decomposition.
IEEE Intelligent Systems 13(2): 38-43 (1998) |
| 8 | EE | Blaz Zupan,
Albert Mo Kim Cheng:
Optimization of Rule-Based Systems Using State Space Graphs.
IEEE Trans. Knowl. Data Eng. 10(2): 238-254 (1998) |
| 7 | | Blaz Zupan,
Marko Bohanec:
Experimental Evaluation of Three Partition Selection Criteria for Decision Table Decomposition.
Informatica (Slovenia) 22(2): (1998) |
| 1997 |
| 6 | | Blaz Zupan,
Saso Dzeroski:
Acquiring and Validating Background Knowledge for Machine Learning Using Function Decomposition.
AIME 1997: 86-97 |
| 5 | EE | Blaz Zupan,
Dobrivoje S. Stokic,
Marko Bohanec,
Michael M. Priebe,
Arthur M. Sherwood:
Relating clinical and neurophysiological assessment of spasticity by machine learning.
CBMS 1997: 190-194 |
| 4 | | Janez Demsar,
Blaz Zupan,
Marko Bohanec,
Ivan Bratko:
Constructing Intermediate Concepts by Decomposition of Real Functions.
ECML 1997: 93-107 |
| 3 | | Blaz Zupan,
Marko Bohanec,
Ivan Bratko,
Janez Demsar:
Machine Learning by Function Decomposition.
ICML 1997: 421-429 |
| 2 | | Blaz Zupan,
Marko Bohanec,
Ivan Bratko,
Bojan Cestnik:
A Dataset Decomposition Approach to Data Mining and Machine Discovery.
KDD 1997: 299-302 |
| 1995 |
| 1 | | Blaz Zupan,
John A. Halter:
A Simulation and Optimization Environment for Models in Computational Neurobiology.
EUROSIM 1995: 963-968 |