Selected bibliography

Equation Discovery

  1. Langley P, Sanchez J, Todorovski L, Dzeroski S. Inducing process models from continuous data. To appear in Proceedings of The Nineteenth International Conference on Machine Learning. 2002.
    abstract | full paper
  2. Todorovski L, Dzeroski S. Theory revision in equation discovery. In Proceedings of The Fourth International Conference on Discovery Science. Springer (LNCS 2226), 2001.
    abstract | full paper
  3. Todorovski L, Dzeroski S. Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. In Proceedings of the Twelth European Conference on Machine Learning. Springer (LNCS 2167), 2001; 478-490.
    abstract | full paper
  4. Nancovska I, Todorovski L, Jeglic A, Fefer D. Deterministic predictive models for DC voltage reference source control. IEEE transactions on industrial electronics 2000; 47(1): 186-192.
    abstract
  5. Todorovski L, Dzeroski S, Srinivasan A, Whiteley J, Gavaghan D. Discovering the structure of partial differential equations from example behavior. In Proceedings of the Seventeenth International Conference on Machine Learning. Morgan Kaufmann, 2000; 991-998.
    abstract | full paper
  6. Todorovski L, Dzeroski S, Kompare B. Modelling and prediction of phytoplankton growth with equation discovery. Ecological Modelling 1998; 113: 71-81.
    abstract
  7. Todorovski L. Declarative Bias in Equation Discovery. Ljubljana: University of Ljubljana, Faculty for computer and information science, 1998.
    abstract | full paper
  8. Todorovski L, Dzeroski S. Declarative bias in equation discovery. In Proceedings of the Fourteenth International Conference on Machine Learning. Morgan Kaufmann, 1997; 376-384.
    abstract | full paper
  9. Dzeroski S, Todorovski L. Discovering dynamics: from inductive logic programming to machine discovery. Journal of Intelligent Information Systems 1995; 4 89-108.
    abstract | full paper
  10. Dzeroski S, Todorovski L. Discovering dynamics. In Proceeding of the Tenth International Conference on Machine Learning. San Mateo: Morgan Kaufmann, 1993; 97-103.
    abstract | full paper

Meta-level Learning

  1. Todorovski L, Dzeroski S. Combining Classifiers with Meta Decision Trees. Machine Learning Journal. In press.
    abstract | full paper
  2. Todorovski L, Dzeroski S. Combining Multiple Models with Meta Decision Trees. In Proceedings of the Fourth European Conference on Principles of Data Mining and Knowledge Discovery. Springer, 2000; 54-64.
    abstract | full paper
  3. Todorovski L, Dzeroski S. Experiments in meta-level learning with ILP. In Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery. Springer, 1999; 98-106.
    abstract | full paper


Ljupco Todorovski, March 2002