2008 |
40 | EE | Aleksandar Peckov,
Saso Dzeroski,
Ljupco Todorovski:
A Minimal Description Length Scheme for Polynomial Regression.
PAKDD 2008: 284-295 |
39 | EE | Will Bridewell,
Pat Langley,
Ljupco Todorovski,
Saso Dzeroski:
Inductive process modeling.
Machine Learning 71(1): 1-32 (2008) |
2007 |
38 | | Saso Dzeroski,
Ljupco Todorovski:
Computational Discovery of Scientific Knowledge, Introduction, Techniques, and Applications in Environmental and Life Sciences
Springer 2007 |
37 | EE | Saso Dzeroski,
Pat Langley,
Ljupco Todorovski:
Computational Discovery of Scientific Knowledge.
Computational Discovery of Scientific Knowledge 2007: 1-14 |
36 | EE | Ljupco Todorovski,
Saso Dzeroski:
Integrating Domain Knowledge in Equation Discovery.
Computational Discovery of Scientific Knowledge 2007: 69-97 |
35 | EE | Ljupco Todorovski,
Mateja Kunstelj,
Mirko Vintar:
Reference Models for E-Services Integration Based on Life-Events.
EGOV 2007: 92-103 |
34 | EE | Will Bridewell,
Ljupco Todorovski:
Learning Declarative Bias.
ILP 2007: 63-77 |
33 | EE | Will Bridewell,
Stuart R. Borrett,
Ljupco Todorovski:
Extracting constraints for process modeling.
K-CAP 2007: 87-94 |
2006 |
32 | | Ljupco Todorovski,
Nada Lavrac,
Klaus P. Jantke:
Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
Springer 2006 |
31 | EE | Pat Langley,
Oren Shiran,
Jeff Shrager,
Ljupco Todorovski,
Andrew Pohorille:
Constructing explanatory process models from biological data and knowledge.
Artificial Intelligence in Medicine 37(3): 191-201 (2006) |
2005 |
30 | | Ljupco Todorovski,
Will Bridewell,
Oren Shiran,
Pat Langley:
Inducing Hierarchical Process Models in Dynamic Domains.
AAAI 2005: 892-897 |
29 | EE | Will Bridewell,
Narges Bani Asadi,
Pat Langley,
Ljupco Todorovski:
Reducing overfitting in process model induction.
ICML 2005: 81-88 |
2004 |
28 | EE | Saso Dzeroski,
Ljupco Todorovski,
Peter Ljubic:
Inductive Queries on Polynomial Equations.
Constraint-Based Mining and Inductive Databases 2004: 127-154 |
27 | EE | Saso Dzeroski,
Ljupco Todorovski,
Peter Ljubic:
Inductive Databases of Polynomial Equations.
DaWaK 2004: 159-168 |
26 | EE | Ljupco Todorovski,
Peter Ljubic,
Saso Dzeroski:
Inducing Polynomial Equations for Regression.
ECML 2004: 441-452 |
25 | | Branko Kavsek,
Nada Lavrac,
Ljupco Todorovski:
ROC Analysis of Example Weighting in Subgroup Discovery.
ROCAI 2004: 55-60 |
24 | EE | Nada Lavrac,
Branko Kavsek,
Peter A. Flach,
Ljupco Todorovski:
Subgroup Discovery with CN2-SD.
Journal of Machine Learning Research 5: 153-188 (2004) |
2003 |
23 | | Nada Lavrac,
Dragan Gamberger,
Ljupco Todorovski,
Hendrik Blockeel:
Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings
Springer 2003 |
22 | | Nada Lavrac,
Dragan Gamberger,
Hendrik Blockeel,
Ljupco Todorovski:
Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings
Springer 2003 |
21 | EE | Saso Dzeroski,
Ljupco Todorovski,
Peter Ljubic:
Using Constraints in Discovering Dynamics.
Discovery Science 2003: 297-305 |
20 | EE | Saso Dzeroski,
Ljupco Todorovski,
Boris Zmazek,
Janja Vaupotic,
Ivan Kobal:
Modelling Soil Radon Concentration for Earthquake Prediction.
Discovery Science 2003: 87-99 |
19 | EE | Ljupco Todorovski,
Saso Dzeroski:
Using Domain Specific Knowledge for Automated Modeling.
IDA 2003: 48-59 |
18 | | Saso Dzeroski,
Ljupco Todorovski,
Peter Ljubic:
Inductive Databases of Polynomial Equations.
KDID 2003: 28-43 |
17 | | Ljupco Todorovski,
Saso Dzeroski:
Combining Classifiers with Meta Decision Trees.
Machine Learning 50(3): 223-249 (2003) |
2002 |
16 | EE | Ljupco Todorovski,
Hendrik Blockeel,
Saso Dzeroski:
Ranking with Predictive Clustering Trees.
ECML 2002: 444-455 |
15 | EE | Nada Lavrac,
Peter A. Flach,
Branko Kavsek,
Ljupco Todorovski:
Adapting classification rule induction to subgroup discovery.
ICDM 2002: 266-273 |
14 | | Pat Langley,
Javier Nicolás Sánchez,
Ljupco Todorovski,
Saso Dzeroski:
Inducing Process Models from Continuous Data.
ICML 2002: 347-354 |
2001 |
13 | EE | Ljupco Todorovski,
Saso Dzeroski:
Theory Revision in Equation Discovery.
Discovery Science 2001: 389-400 |
12 | EE | Ljupco Todorovski,
Saso Dzeroski:
Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery.
ECML 2001: 478-490 |
11 | EE | Bernard Zenko,
Ljupco Todorovski,
Saso Dzeroski:
A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods.
ICDM 2001: 669-670 |
10 | EE | Samo Ribaric,
Ljupco Todorovski,
Jure Dimec,
Tomaz Lunder:
Presentation of dermatological images on the Internet.
Computer Methods and Programs in Biomedicine 65(2): 111-121 (2001) |
2000 |
9 | | Ljupco Todorovski,
Saso Dzeroski,
Ashwin Srinivasan,
Jonathan Whiteley,
David Gavaghan:
Discovering the Structure of Partial Differential Equations from Example Behaviour.
ICML 2000: 991-998 |
8 | EE | Ljupco Todorovski,
Peter A. Flach,
Nada Lavrac:
Predictive Performance of Weghted Relative Accuracy.
PKDD 2000: 255-264 |
7 | EE | Ljupco Todorovski,
Saso Dzeroski:
Combining Multiple Models with Meta Decision Trees.
PKDD 2000: 54-64 |
1999 |
6 | | Ljupco Todorovski,
Saso Dzeroski:
Experiments in Meta-level Learning with ILP.
PKDD 1999: 98-106 |
5 | | Irena Nancovska,
Anton Jeglic,
Dusan Fefer,
Ljupco Todorovski:
Equation Discovery System And Neural Networks For Short-Term Dc Voltage Prediction.
Informatica (Slovenia) 23(4): (1999) |
1997 |
4 | | Ljupco Todorovski,
Saso Dzeroski:
Declarative Bias in Equation Discovery.
ICML 1997: 376-384 |
1995 |
3 | | Saso Dzeroski,
Ljupco Todorovski,
Tanja Urbancic:
Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract).
ECML 1995: 283-286 |
2 | | Saso Dzeroski,
Ljupco Todorovski:
Discovering Dynamics: From Inductive Logic Programming to Machine Discovery.
J. Intell. Inf. Syst. 4(1): 89-108 (1995) |
1993 |
1 | | Saso Dzeroski,
Ljupco Todorovski:
Discovering Dynamics.
ICML 1993: 97-103 |