M
Matthew Poole
Researcher at University of Portsmouth
Publications - 20
Citations - 370
Matthew Poole is an academic researcher from University of Portsmouth. The author has contributed to research in topics: Particle swarm optimization & Swarm intelligence. The author has an hindex of 10, co-authored 20 publications receiving 338 citations. Previous affiliations of Matthew Poole include Swansea University & University of Leeds.
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Journal ArticleDOI
A Swarm Intelligence Framework for Reconstructing Gene Networks: Searching for Biologically Plausible Architectures
TL;DR: Results demonstrate the relative advantage of utilizing problem-specific knowledge regarding biologically plausible structural properties of gene networks over conducting a problem-agnostic search in the vast space of network architectures.
Proceedings ArticleDOI
Particle swarm optimization with an oscillating inertia weight
TL;DR: Results demonstrate that an oscillating inertia weight function is competitive and in some cases better than established inertia weight functions, in terms of consistency and speed of convergence.
Journal ArticleDOI
Coupled map lattices as computational systems
TL;DR: It is shown that the CML is a valid new model for a parallel deterministic analog machine, but that, in principle, such a CML computer does not generate computations that cannot be reproduced by the standard mathematical models for computing on real numbers.
Journal ArticleDOI
Resistance gene expression determines the in vitro chemosensitivity of non-small cell lung cancer (NSCLC)
Sharon Glaysher,Dennis Yiannakis,Francis G Gabriel,Penny Johnson,Marta E Polak,Louise A. Knight,Zoe Goldthorpe,Katharine Peregrin,Mya Gyi,Paul Modi,Joe Rahamim,Mark E F Smith,Khalid Amer,Bruce J. Addis,Matthew Poole,Ajit Narayanan,Tim J. Gulliford,Peter E. Andreotti,Ian A. Cree +18 more
TL;DR: Genes predicted to be involved in known mechanisms drug sensitivity and resistance correlate well with in vitro chemosensitivity and may allow the definition of predictive signatures to guide individualized chemotherapy in lung cancer.
Proceedings ArticleDOI
Pass Rates in Introductory Programming and in other STEM Disciplines
Simon,Andrew Luxton-Reilly,Vangel V. Ajanovski,Eric Fouh,Christabel Gonsalvez,Juho Leinonen,Jack Parkinson,Matthew Poole,Neena Thota +8 more
TL;DR: The report of an ITiCSE working group that gathered information on pass rates from several institutions to determine whether prior results can be confirmed, and conducted a detailed comparison of pass rates in introductory programming courses with passes in introductory courses in other STEM disciplines found that pass rates appear to average about 75; that there is some evidence that they sit at the low end of the range of pass rate in introductory STEM courses.