C. W. Morris

发表

Vertical Interference Testing With a Wireline-Conveyed Straddle-Packer Tool

D. J. Wilkinson, C. W. Morris, J. J. Pop, 1993 .

Identification of Phytoplankton from Flow Cytometry Data by Using Radial Basis Function Neural Networks

Lynne Boddy, C. W. Morris, L. Boddy, 1999, Applied and Environmental Microbiology.

Training radial basis function neural networks: effects of training set size and imbalanced training sets.

L Boddy, C W Morris, L Al-Haddad, 2000, Journal of microbiological methods.

Evaluation of artificial neural networks for fungal identification, employing morphometric data from spores of Pestalotiopsis species

Lynne Boddy, Colin W. Morris, C. W. Morris, 1998 .

A comparison of some neural and non-neural methods for identification of phytoplankton from flow cytometry data

Lynne Boddy, Malcolm F. Wilkins, Colin W. Morris, 1996, Comput. Appl. Biosci..

A comparison of Radial Basis Function and backpropagation neural networks for identification of marine phytoplankton from multivariate flow cytometry data

Lynne Boddy, Malcolm F. Wilkins, Colin W. Morris, 1994, Comput. Appl. Biosci..

Comparison of five clustering algorithms to classify phytoplankton from flow cytometry data.

L Boddy, M F Wilkins, C W Morris, 2001, Cytometry.

Pattern recognition in flow cytometry.

L Boddy, M F Wilkins, C W Morris, 2001, Cytometry.

Artificial neural networks for pattern recognition

Lynne Boddy, Colin W. Morris, C. W. Morris, 1999 .

Techniques for neural network identification of phytoplankton for the EurOPA flow cytometer

Lynne Boddy, Glen A. Tarran, Malcolm F. Wilkins, 1994, Proceedings of OCEANS'94.

Neural network analysis of flow cytometric data for 40 marine phytoplankton species.

C. W. Morris, L. Boddy, C. Morris, 1994, Cytometry.

Identification of basidiomycete spores by neural network analysis of flow cytometry data

Lynne Boddy, Colin W. Morris, C. W. Morris, 1992 .

Analyzing the Mallat Wavelet Transform to Delineate Contour and Textural Features

Colin W. Morris, Paul Angel, C. W. Morris, 2000, Comput. Vis. Image Underst..

Support vector machines for identifying organisms: a comparison with strongly partitioned radial basis function networks

Lynne Boddy, Colin W. Morris, C. W. Morris, 2001 .

Identification of 72 phytoplankton species by radial basis function neural network analysis of flow cytometric data

Lynne Boddy, Glen A. Tarran, Malcolm F. Wilkins, 2000 .