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Ljupco Todorovski: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley
    Inducing Hierarchical Process Models in Dynamic Domains. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:892-897 [Conf]
  2. Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
    Inductive Queries on Polynomial Equations. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:127-154 [Conf]
  3. Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
    Inductive Databases of Polynomial Equations. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2004, pp:159-168 [Conf]
  4. Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
    Using Constraints in Discovering Dynamics. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:297-305 [Conf]
  5. Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal
    Modelling Soil Radon Concentration for Earthquake Prediction. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2003, pp:87-99 [Conf]
  6. Ljupco Todorovski, Saso Dzeroski
    Theory Revision in Equation Discovery. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2001, pp:389-400 [Conf]
  7. Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic
    Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:283-286 [Conf]
  8. Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
    Ranking with Predictive Clustering Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:444-455 [Conf]
  9. Ljupco Todorovski, Saso Dzeroski
    Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:478-490 [Conf]
  10. Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
    Inducing Polynomial Equations for Regression. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:441-452 [Conf]
  11. Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski
    Adapting classification rule induction to subgroup discovery. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:266-273 [Conf]
  12. Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
    A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:669-670 [Conf]
  13. Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski
    Reducing overfitting in process model induction. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:81-88 [Conf]
  14. Saso Dzeroski, Ljupco Todorovski
    Discovering Dynamics. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:97-103 [Conf]
  15. Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski
    Inducing Process Models from Continuous Data. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:347-354 [Conf]
  16. Ljupco Todorovski, Saso Dzeroski
    Declarative Bias in Equation Discovery. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:376-384 [Conf]
  17. Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan Whiteley, David Gavaghan
    Discovering the Structure of Partial Differential Equations from Example Behaviour. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:991-998 [Conf]
  18. Ljupco Todorovski, Saso Dzeroski
    Using Domain Specific Knowledge for Automated Modeling. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:48-59 [Conf]
  19. Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
    Inductive Databases of Polynomial Equations. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:28-43 [Conf]
  20. Ljupco Todorovski, Saso Dzeroski
    Combining Multiple Models with Meta Decision Trees. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:54-64 [Conf]
  21. Ljupco Todorovski, Saso Dzeroski
    Experiments in Meta-level Learning with ILP. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:98-106 [Conf]
  22. Ljupco Todorovski, Peter A. Flach, Nada Lavrac
    Predictive Performance of Weghted Relative Accuracy. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:255-264 [Conf]
  23. Branko Kavsek, Nada Lavrac, Ljupco Todorovski
    ROC Analysis of Example Weighting in Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    ROCAI, 2004, pp:55-60 [Conf]
  24. Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Todorovski, Andrew Pohorille
    Constructing explanatory process models from biological data and knowledge. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:3, pp:191-201 [Journal]
  25. Irena Nancovska, Anton Jeglic, Dusan Fefer, Ljupco Todorovski
    Equation Discovery System And Neural Networks For Short-Term Dc Voltage Prediction. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1999, v:23, n:4, pp:- [Journal]
  26. Saso Dzeroski, Ljupco Todorovski
    Discovering Dynamics: From Inductive Logic Programming to Machine Discovery. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 1995, v:4, n:1, pp:89-108 [Journal]
  27. Nada Lavrac, Branko Kavsek, Peter A. Flach, Ljupco Todorovski
    Subgroup Discovery with CN2-SD. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:153-188 [Journal]
  28. Ljupco Todorovski, Saso Dzeroski
    Combining Classifiers with Meta Decision Trees. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:3, pp:223-249 [Journal]
  29. Samo Ribaric, Ljupco Todorovski, Jure Dimec, Tomaz Lunder
    Presentation of dermatological images on the Internet. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2001, v:65, n:2, pp:111-121 [Journal]
  30. Saso Dzeroski, Pat Langley, Ljupco Todorovski
    Computational Discovery of Scientific Knowledge. [Citation Graph (0, 0)][DBLP]
    Computational Discovery of Scientific Knowledge, 2007, pp:1-14 [Conf]
  31. Ljupco Todorovski, Saso Dzeroski
    Integrating Domain Knowledge in Equation Discovery. [Citation Graph (0, 0)][DBLP]
    Computational Discovery of Scientific Knowledge, 2007, pp:69-97 [Conf]
  32. Ljupco Todorovski, Mateja Kunstelj, Mirko Vintar
    Reference Models for E-Services Integration Based on Life-Events. [Citation Graph (0, 0)][DBLP]
    EGOV, 2007, pp:92-103 [Conf]

  33. The Induction and Transfer of Declarative Bias. [Citation Graph (, )][DBLP]


  34. Mapping the E-Government Research with Social Network Analysis. [Citation Graph (, )][DBLP]


  35. Analyzing the Structure of the EGOV Conference Community. [Citation Graph (, )][DBLP]


  36. Learning Declarative Bias. [Citation Graph (, )][DBLP]


  37. Extracting constraints for process modeling. [Citation Graph (, )][DBLP]


  38. A Minimal Description Length Scheme for Polynomial Regression. [Citation Graph (, )][DBLP]


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