Denise Gorse
Denise Gorse
Lecturer in Computer Science, University College London
Verified email at - Homepage
Cited by
Cited by
Prediction of the location and type of β‐turns in proteins using neural networks
AJ Shepherd, D Gorse, JM Thornton
Protein science 8 (5), 1045-1055, 1999
Wavelet transforms for the characterization and detection of repeating motifs
KB Murray, D Gorse, JM Thornton
Journal of molecular biology 316 (2), 341-363, 2002
Morphological aspects of oligomeric protein structures
H Ponstingl, T Kabir, D Gorse, JM Thornton
Progress in biophysics and molecular biology 89 (1), 9-35, 2005
Predicting cryptocurrency price bubbles using social media data and epidemic modelling
RC Phillips, D Gorse
2017 IEEE symposium series on computational intelligence (SSCI), 1-7, 2017
Learning probabilistic RAM nets using VLSI structures
TG Clarkson, D Gorse, JG Taylor, CK Ng
IEEE Computer Architecture Letters 41 (12), 1552-1561, 1992
Cryptocurrency price drivers: Wavelet coherence analysis revisited
RC Phillips, D Gorse
PloS one 13 (4), e0195200, 2018
The new ERA in supervised learning
D Gorse, AJ Shepherd, JG Taylor
Neural Networks 10 (2), 343-352, 1997
An analysis of noisy RAM and neural nets
D Gorse, JG Taylor
Physica D: Nonlinear Phenomena 34 (1-2), 90-114, 1989
On the equivalence and properties of noisy neural and probabilistic RAM nets
D Gorse, JG Taylor
Physics Letters A 131 (6), 326-332, 1988
A continuous input RAM-based stochastic neural model
D Gorse, JG Taylor
Neural Networks 4 (5), 657-665, 1991
Hardware realisable models of neural processing
TG Clarkson, D Gorse, JG Taylor
1989 First IEE International Conference on Artificial Neural Networks,(Conf …, 1989
A novel approach to the recognition of protein architecture from sequence using Fourier analysis and neural networks
AJ Shepherd, D Gorse, JM Thornton
Proteins: Structure, Function, and Bioinformatics 50 (2), 290-302, 2003
A general model of stochastic neural processing
D Gorse, JG Taylor
Biological Cybernetics 63 (4), 299-306, 1990
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures
TG Clarkson, CC Christodoulou, Y Guan, D Gorse, DA Romano-Critchley, ...
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2001
Application of stochastic recurrent reinforcement learning to index trading
D Gorse
ESANN, 2011
Generalization in probabilistic RAM nets
TG Clarkson, Y Guan, JG Taylor, D Gorse
IEEE Transactions on Neural Networks 4 (2), 360-363, 1993
Application of a chaperone‐based refolding method to two‐and three‐dimensional off‐lattice protein models
D Gorse
Biopolymers: Original Research on Biomolecules 64 (3), 146-160, 2002
Training strategies for probabilistic RAMs
D Gorse, JG Taylor
Theory and Applications of Neural Networks, 211-217, 1992
A classical algorithm for avoiding local minima
D Gorse, A Shepherd, JG Taylor
Proceedings of the World Congress on Neural Networks, 364-369, 1994
Digital artificial neuron based on a probabilistic ram
J Taylor, D Gorse, T Clarkson
US Patent 5,175,798, 1992
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