D. Gorse

发表

On the equivalence and properties of noisy neural and probabilistic RAM nets

J. Taylor, D. Gorse, J. Taylor, 1988 .

Noisy reinforcement training for pRAM nets

John G. Taylor, Trevor G. Clarkson, Yelin Guan, 1994, Neural Networks.

Morphological aspects of oligomeric protein structures.

Denise Gorse, Janet M Thornton, J. Thornton, 2005, Progress in biophysics and molecular biology.

Application of a chaperone-based refolding method to two- and three-dimensional off-lattice protein models.

Denise Gorse, D. Gorse, 2002, Biopolymers.

Prediction of the location and type of β‐turns in proteins using neural networks

D Gorse, J M Thornton, J. Thornton, 1999, Protein science : a publication of the Protein Society.

Wavelet transforms for the characterization and detection of repeating motifs.

Denise Gorse, Janet M Thornton, J. Thornton, 2002, Journal of molecular biology.

Improving on the Markov-Switching Regression Model by the Use of an Adaptive Moving Average

D. Gorse, P. Pomorski, 2022, ArXiv.

ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification

D. Gorse, David Twomey, 2022, ICANN.

Portfolio Transformer for Attention-Based Asset Allocation

D. Gorse, Damian Kisiel, 2022, 2206.03246.

A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization

D. Gorse, Wei Quan, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep Candlestick Mining

Denise Gorse, Andrew D. Mann, D. Gorse, 2017, ICONIP.

The application of noisy reward/penalty learning to pyramidal pRAM structures

D Gorse, J. G. Taylor, Y. Guan, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Learning Probabilistic RAM Nets Using VLSI Structures

John G. Taylor, Trevor G. Clarkson, Denise Gorse, 1992, IEEE Trans. Computers.

A continuous input RAM-based stochastic neural model

John G. Taylor, Denise Gorse, John G. Taylor, 1991, Neural Networks.

Global minimization of an off‐lattice potential energy function using a chaperone‐based refolding method

D Gorse, D. Gorse, 2001, Biopolymers.

Deep Probabilistic Modelling of Price Movements for High-Frequency Trading

Denise Gorse, Ye-Sheen Lim, D. Gorse, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Binary particle swarm optimisation with improved scaling behaviour

Denise Gorse, D. Gorse, 2013, ESANN.

Fractal Gene Regulatory Networks for Control of Nonlinear Systems

Denise Gorse, Jean Krohn, D. Gorse, 2010, PPSN.

The New ERA in Supervised Learning

John G. Taylor, Denise Gorse, Adrian J. Shepherd, 1997, Neural Networks.

A CLASSICAL ALGORITHM FOR AVOIDING LOCAL MINIMA

Adrian J. Shepherd, D Gorse, J. G. Taylor, 1994 .

The spectrum of multiplets with two off-shells central charges

A. Restuccia, D. Gorse, J. Taylor, 1983 .

Morphological aspects of oligorneric protein structures

J. Thornton, D. Gorse, H. Ponstingl, 2005 .

A novel approach to the recognition of protein architecture from sequence using fourier analysis and neural networks

Denise Gorse, Janet M Thornton, Adrian J Shepherd, 2002, Proteins.

A general model of stochastic neural processing

D. Gorse, J. G. Taylor, D. Gorse, 1990, Biological Cybernetics.

Predicting cryptocurrency price bubbles using social media data and epidemic modelling

Denise Gorse, Ross C. Phillips, D. Gorse, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull Design

Denise Gorse, Sam Palmer, Ema Muk-Pavic, 2015, EANN '15.

Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks

Denise Gorse, Sam Palmer, D. Gorse, 2017, ESANN.

Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow

Denise Gorse, Ye-Sheen Lim, D. Gorse, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Multi-Period Portfolio Optimisation Using a Regime-Switching Predictive Framework

D. Gorse, P. Pomorski, 2023, ArXiv.

Axial-LOB: High-Frequency Trading with Axial Attention

D. Gorse, Damian Kisiel, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI).

Mutual-Excitation of Cryptocurrency Market Returns and Social Media Topics pdf

Denise Gorse, Ross C. Phillips, D. Gorse, 2018, ICFET '18.

Cryptocurrency price drivers: Wavelet coherence analysis revisited

Denise Gorse, Ross C. Phillips, D. Gorse, 2018, PloS one.

Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation

Denise Gorse, Marta Díez-Fernández, Sergio Alvarez Teleña, 2012, ICANN.

Reinforcement Learning for High-Frequency Market Making

Denise Gorse, Ye-Sheen Lim, D. Gorse, 2018, ESANN.

Application of stochastic recurrent reinforcement learning to index trading

Denise Gorse, D. Gorse, 2011, ESANN.

Avoiding Local Minima by a Classical Range Expansion Algorithm

Denise Gorse, Adrian J. Shepherd, J. G. Taylor, 1994 .

AN ANALYSIS OF NOISY RAM AND NEURAL NETS

D. Gorse, J. G. Taylor, D. Gorse, 1989 .

Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order Flow pdf

Denise Gorse, Ye-Sheen Lim, D. Gorse, 2020, ICAISC.

Deep Recurrent Modelling of Stationary Price Formation Using the Order Flow

D. Gorse, Ye-Sheen Lim, 2020 .

A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection pdf

Denise Gorse, Damian Kisiel, D. Gorse, 2021, CIIS.

Prediction of the location and type of b -turns in proteins using neural networks

D. Gorse, Adrian J. Shepherd, Janet M. Thornton, 1999 .