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Piet van Remortel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Piet van Remortel, Tom Lenaerts, Bernard Manderick
    Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:321-332 [Conf]
  2. Pauline C. Haddow, Piet van Remortel
    From Here To There : Future Robust Ehw Technologies For Large Digital Designs. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2001, pp:232-239 [Conf]
  3. Piet van Remortel
    The Evolution of ROBDDs: Preliminary Results and a First Analysis. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 1999, pp:249-254 [Conf]
  4. Piet van Remortel, Tom Lenaerts, Bernard Manderick
    The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2002, pp:26-35 [Conf]
  5. Piet van Remortel, Bernard Manderick, Tom Lenaerts
    Gene Interaction and Modularisation in a Model for Gene-Regulated Development. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2004, pp:253-260 [Conf]
  6. Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
    An Individual-based Approach To Multi-level Selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:136- [Conf]
  7. Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
    Evaluation of a Simple Multi-Level Selection Model. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:323-329 [Conf]
  8. Pauline C. Haddow, Gunnar Tufte, Piet van Remortel
    Shrinking the Genotype: L-systems for EHW? [Citation Graph (0, 0)][DBLP]
    ICES, 2001, pp:128-139 [Conf]
  9. Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick
    Developmental Effects on Tuneable Fitness Landscapes. [Citation Graph (0, 0)][DBLP]
    ICES, 2003, pp:117-128 [Conf]
  10. Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, Alain Verschoren, Bart De Moor, Kathleen Marchal
    SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:43- [Journal]

  11. Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. [Citation Graph (, )][DBLP]


  12. Validating module network learning algorithms using simulated data. [Citation Graph (, )][DBLP]


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