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The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems
(2015-10)
There has been significant progress in the development of techniques to deliver more effective e-Learning systems in both education and commerce but our research has identified very few examples of comprehensive learning ...
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
(2015-03-18)
Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ...
Linear Support Vector Machines for Error Correction in Optical Data Transmission
(Springer Nature, 2013)
Reduction of bit error rates in optical transmission systems is an important task that is difficult to achieve. As speeds increase, the difficulty in reducing bit error rates also increases. Channels have differing ...
An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption
(2012-04)
Objectives: The developments in combinatorial chemistry have led to a rapid increase in drug design and discovery and, ultimately, the production of many potential molecules that require evaluation. Hence, there has been ...
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
(2011-11)
Objectives: Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key feature of this problem domain ...
Further thoughts on precision
(2011)
Background: There has been much discussion amongst automated software defect prediction researchers regarding use of the precision and false positive rate classifier performance metrics. Aim: To demonstrate and explain why ...
The misuse of the NASA metrics data program data sets for automated software defect prediction
(Institution of Engineering and Technology (IET), 2011)
Background: The NASA Metrics Data Program data sets have been heavily used in software defect prediction experiments. Aim: To demonstrate and explain why these data sets require significant pre-processing in order to be ...
Effect of using varying negative examples in transcription factor binding site predictions
(2011)
Identifying transcription factor binding sites computationally is a hard problem as it produces many false predictions. Combining the predictions from existing predictors can improve the overall predictions by using ...
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
(2010)
Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ...
Photometric redshift estimation using Gaussian processes
(2010)
We present a comparison between Gaussian processes (GPs) and artificial neural networks (ANNs) as methods for determining photometric redshifts for galaxies, given training-set data. In particular, we compare their degradation ...