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Alireza Tamaddoni-Nezhad: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ghazal Afroozi Milani, Koorush Ziarati, Alireza Tamaddoni-Nezhad
    Virtual characteristics measurement using factor analysis. [Citation Graph (0, 0)][DBLP]
    ICETE, 2005, pp:102-108 [Conf]
  2. Stephen Muggleton, Alireza Tamaddoni-Nezhad, Hiroaki Watanabe
    Induction of Enzyme Classes from Biological Databases. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:269-280 [Conf]
  3. Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephen Muggleton, Florencio Pazos
    Modelling Inhibition in Metabolic Pathways Through Abduction and Induction. [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:305-322 [Conf]
  4. Alireza Tamaddoni-Nezhad, Stephen Muggleton
    Searching the Subsumption Lattice by a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ILP, 2000, pp:243-252 [Conf]
  5. Alireza Tamaddoni-Nezhad, Stephen Muggleton
    A Genetic Algorithms Approach to ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:285-300 [Conf]
  6. Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton
    Application of abductive ILP to learning metabolic network inhibition from temporal data. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:209-230 [Journal]
  7. Stephen Muggleton, Alireza Tamaddoni-Nezhad
    QG/GA: A Stochastic Search for Progol. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:37-39 [Conf]

  8. An ILP System for Learning Head Output Connected Predicates. [Citation Graph (, )][DBLP]


  9. TopLog: ILP Using a Logic Program Declarative Bias. [Citation Graph (, )][DBLP]


  10. Abduction and induction for learning models of inhibition in metabolic networks. [Citation Graph (, )][DBLP]


  11. A Note on Refinement Operators for IE-Based ILP Systems. [Citation Graph (, )][DBLP]


  12. ProGolem: A System Based on Relative Minimal Generalisation. [Citation Graph (, )][DBLP]


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