Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  

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  • Conference paper
    Tamaddoni-Nezhad A, Kakas A, Muggleton S, Pazos Fet al., 2004,

    Modelling inhibition in metabolic pathways through abduction and induction

    , Berlin, 14th international conference on inductive logic programming (ILP 2004), Porto, Portugal, Publisher: Springer-Verlag, Pages: 305-322
  • Conference paper
    Tamaddoni-Nezhad A, Muggleton S, Bang J, 2003,

    A Bayesian model for metabolic pathways

    , International joint conference on artificial intelligence (IJCAI03) workshop on learning statistical models from relational data, IJCAI, 2003, Pages: 50-57
  • Conference paper
    Muggleton S, Tamaddoni-Nezhad A, Watanabe H, 2003,

    Induction of enzyme classes from biological databases

    , Berlin, 13th international conference on inductive logic programming, Szeged, Hungary, Publisher: Springer-Verlag, Pages: 269-280
  • Conference paper
    Tamaddoni-Nezhad A, Muggleton S, 2003,

    A genetic algorithms approach to ILP

    , Berlin, 12th international conference on inductive logic programming, Sydney, Australia, 2002, Publisher: Springer-Verlag, Pages: 285-300
  • Report
    Tamaddoni-Nezhad A, Muggleton S, 2002,

    Closed loop machine learning: complexity of ASE-Progol

    , Departmental technical report (Imperial College of Science, Technology and Medicine. Department of Computing) ;, Publisher: Imperial College of Science, Technology and Medicine, Department of Computing, 8
  • Conference paper
    Curcin V, Ghanem M, Guo Y, Kohler M, Rowe A, Syed J, Wendel Pet al., 2002,

    Discovery net: towards a grid of knowledge discovery

    , ACM SIGKDD international conference on knowledge discovery and data mining, Publisher: Association for Computing Machinery, Pages: 658-663
  • Journal article
    Finol JJ, Guo YK, Jing XD, 2001,

    Fuzzy partitioning systems for electrofacies classification: A case study from the Maracaibo Basin

    , JOURNAL OF PETROLEUM GEOLOGY, Vol: 24, Pages: 441-458, ISSN: 0141-6421
  • Journal article
    Finol J, Guo YK, Jing XD, 2001,

    A rule based fuzzy model for the prediction of petrophysical rock parameters

    , JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, Vol: 29, Pages: 97-113, ISSN: 0920-4105
  • Journal article
    Bunnin FO, Guo Y, Darlington J, 2001,

    Design of problem-solving environment for contingent claim valuation

    , Vol: LNCS 2150, Pages: 935-938
  • Conference paper
    Tamaddoni-Nezhad A, Muggleton S, 2001,

    Using genetic algorithms for learning clauses in first-order logic

    , International conference on genetic algorithms; GECCO-2001 proceedings of the genetic and evolutionary computation conference, Publisher: Morgan Kaufmann, Pages: 639-646
  • Report
    Tamaddoni-Nezhad A, Muggleton S, 2001,

    Closed loop machine learning: reproduction and evaluation of Phase A results

    , Departmental technical report (Imperial College of Science, Technology and Medicine. Department of Computing) ;, Publisher: Imperial College of Science, Technology and Medicine, Department of Computing
  • Journal article
    Li Q, Guo Y, Darlington J, Ida Tet al., 2001,

    Minimised Geometric Buchberger Algorithm for Integer Programming

    , Annals of Operations Research, Vol: 108, Pages: 87-109
  • Journal article
    Bunnin FO, Guo Y, Ren Y, Darlington Jet al., 2000,

    Design of high performance financial modelling environment

    , PARALLEL COMPUTING, Vol: 26, Pages: 601-622, ISSN: 0167-8191
  • Journal article
    Bunnin F, Darlington J, Guo Y, Ren Yet al., 2000,

    Parallel pseudospectral solution of financial partial differential equations

    , PARALLEL ALGORITHMS AND APPLICATION, Vol: 15, Pages: 3-13
  • Conference paper
    Guo Y, Chattratichat J, 1999,

    An Architecture for Distributed Enterprise Data Mining

    , Proceedings of HPCN Europe, Amsterdam, The Netherlands

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