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  1. Frances Buontempo
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Contact Information

Contact

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College Building

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Postal Address

City, University of London
Northampton Square
London
EC1V 0HB
United Kingdom

About

Background

Dr Frances Buontempo is a research associate working with Dr Ilir Gashi and Dr Cagatay Turkay on a new collaborative project aimed at enhancing security information and event management systems. Frances has returned to academia having worked as a computer programmer, mostly in finance, for several years.

She edits the ACCU's Overload magazine and has spoken at their conferences and local meetups.

Qualifications

BA Hons Maths and Philosophy
MSc Pure Maths
PhD Modelling toxicity using inductive learning and other data mining techniques

Employment

Various contracts in finance and IT using C++, C#, Python, R and other languages.

Publications

Conference Paper/Proceedings

  1. Wang, X.Z., Buontempo, F.V., Mwense, M., Young, A. and Osborn, D. (2005). Induction of decision trees using genetic programming for the development of SAR toxicity models. .

Internet Publication

  1. Buontempo, F.V. Overload..

Journal Articles (6)

  1. Ma, C.Y., Buontempo, F.V. and Wang, X.Z. (2011). Inductive data mining: Automatic generation of decision trees from data for QSAR modelling and process historical data analysis. International Journal of Modelling, Identification and Control, 12(1-2), pp. 101–106. doi:10.1504/IJMIC.2011.037837.
  2. Ma, C.Y., Buontempo, F.V. and Wang, X.Z. (2008). Inductive data mining: Automatic generation of decision trees from data for QSAR modelling and process historical data analysis. Computer Aided Chemical Engineering, 25, pp. 581–586. doi:10.1016/S1570-7946(08)80102-2.
  3. Wang, X.Z., Buontempo, F.V., Young, A. and Osborn, D. (2006). Induction of decision trees using genetic programming for modelling ecotoxicity data: Adaptive discretization of real-valued endpoints. SAR and QSAR in Environmental Research, 17(5), pp. 451–471. doi:10.1080/10629360600933723.
  4. Mwense, M., Wang, X.Z., Buontempo, F.V., Horan, N., Young, A. and Osborn, D. (2006). QSAR approach for mixture toxicity prediction using independent latent descriptors and fuzzy membership functions. SAR and QSAR in Environmental Research, 17(1), pp. 53–73. doi:10.1080/10659360600562202.
  5. Buontempo, F.V., Wang, X.Z., Mwense, M., Horan, N., Young, A. and Osborn, D. (2005). Genetic programming for the induction of decision trees to model ecotoxicity data. Journal of Chemical Information and Modeling, 45(4), pp. 904–912. doi:10.1021/ci049652n.
  6. Mwense, M., Wang, X.Z., Buontempo, F.V., Horan, N., Young, A. and Osborn, D. (2004). Prediction of noninteractive mixture toxicity of organic compounds based on a fuzzy set method. Journal of Chemical Information and Computer Sciences, 44(5), pp. 1763–1773. doi:10.1021/ci0499368.

Other Activities

Editorial Activity

  1. Editor for https://accu.org/index.php/journal/overload_by_cover.

Find us

City, University of London

Northampton Square

London EC1V 0HB

United Kingdom

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