A continuous input RAM-based stochastic neural model. - Denise Gorse; John G. Taylor (Neural Networks, 1991)

Learning Probabilistic RAM Nets Using VLSI Structures. - Trevor G. Clarkson; Denise Gorse; John G. Taylor; C. K. Ng (IEEE Trans. Computers, 1992)

Traking global minima using a range expansion algorithm. - Denise Gorse; Adrian J. Shepherd; John G. Taylor (ESANN, 1993)

Generalization in probabilistic RAM nets. - Trevor G. Clarkson; Yelin Guan; John G. Taylor; Denise Gorse (IEEE Trans. Neural Networks, 1993)

Noisy reinforcement training for pRAM nets. - Yelin Guan; Trevor G. Clarkson; John G. Taylor; Denise Gorse (Neural Networks, 1994)

Response to letter by K. Gurney. - Trevor G. Clarkson; John G. Taylor; Denise Gorse (Neural Networks, 1995)

A pulse-based reinforcement algorithm for learning continuous functions. - Denise Gorse; David A. Romano-Critchley; John G. Taylor (Neurocomputing, 1997)

The New ERA in Supervised Learning. - Denise Gorse; Adrian J. Shepherd; John G. Taylor (Neural Networks, 1997)

Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. - Trevor G. Clarkson; Chris Christodoulou; Yelin Guan; Denise Gorse; David A. Romano-Critchley; John G. Taylor (IEEE Trans. Syst. Man Cybern. Syst., 2001)

Fractal Gene Regulatory Networks for Control of Nonlinear Systems. - Jean Krohn; Denise Gorse (PPSN (2), 2010)

Application of stochastic recurrent reinforcement learning to index trading. - Denise Gorse (ESANN, 2011)

Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation. - Marta Díez-Fernández; Sergio Alvarez Teleña; Denise Gorse (ICANN (2), 2012)

Identification of Factors Characterising Volatility and Firm-Specific Risk Using Ensemble Classifiers. - Pascal Khoury; Denise Gorse (ICONIP (4), 2012)

Extracting Key Gene Regulatory Dynamics for the Direct Control of Mechanical Systems. - Jean Krohn; Denise Gorse (PPSN (1), 2012)

Binary particle swarm optimisation with improved scaling behaviour. - Denise Gorse (ESANN, 2013)

Investigation of the Predictability of Steel Manufacturer Stock Price Movements Using Particle Swarm Optimisation. - Pascal Khoury; Denise Gorse (ICONIP (2), 2013)

A Novel Application of Particle Swarm Optimisation to Optimal Trade Execution. - Marzieh Saeidi; Denise Gorse (ICONIP (2), 2013)

Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull Design. - Sam Palmer; Denise Gorse; Ema Muk-Pavic (EANN Workshops, 2015)

Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisation. - Pascal Khoury; Denise Gorse (ICONIP (2), 2015)

Investing in emerging markets using neural networks and particle swarm optimisation. - Pascal Khoury; Denise Gorse (IJCNN, 2015)

Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks. - Sam Palmer; Denise Gorse (ESANN, 2017)

A New Methodology to Exploit Predictive Power in (Open, High, Low, Close) Data. - Andrew D. Mann; Denise Gorse (ICANN (2), 2017)

Deep Candlestick Mining. - Andrew D. Mann; Denise Gorse (ICONIP (2), 2017)

Predicting cryptocurrency price bubbles using social media data and epidemic modelling. - Ross C. Phillips; Denise Gorse (SSCI, 2017)

Reinforcement Learning for High-Frequency Market Making. - Ye-Sheen Lim; Denise Gorse (ESANN, 2018)

A neural network cost function for highly class-imbalanced data sets. - David Twomey; Denise Gorse (ESANN, 2018)

Mutual-Excitation of Cryptocurrency Market Returns and Social Media Topics. - Ross C. Phillips; Denise Gorse (CoRR, 2018)

Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order Flow. - Ye-Sheen Lim; Denise Gorse (ICAISC (1), 2020)

Deep Probabilistic Modelling of Price Movements for High-Frequency Trading. - Ye-Sheen Lim; Denise Gorse (IJCNN, 2020)

A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection. - Damian Kisiel; Denise Gorse (CIIS, 2021)

Intra-Day Price Simulation with Generative Adversarial Modelling of the Order Flow. - Ye-Sheen Lim; Denise Gorse (ICMLA, 2021)

Portfolio Transformer for Attention-Based Asset Allocation. - Damian Kisiel; Denise Gorse (ICAISC (1), 2022)

ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification. - David Twomey; Denise Gorse (ICANN (3), 2022)

A Novel Multi-Objective Velocity-Free Boolean Particle Swarm Optimization. - Wei Quan; Denise Gorse (SMC, 2022)

Axial-LOB: High-Frequency Trading with Axial Attention. - Damian Kisiel; Denise Gorse (SSCI, 2022)

Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection. - Akshat Goel; Denise Gorse (CoRR, 2022)

Improving on the Markov-Switching Regression Model by the Use of an Adaptive Moving Average. - Piotr Pomorski; Denise Gorse (CoRR, 2022)

Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes. - Piotr Pomorski; Denise Gorse (LOD (2), 2023)

Multi-Period Portfolio Optimisation Using a Regime-Switching Predictive Framework. - Piotr Pomorski; Denise Gorse (CoRR, 2023)