Denise Gorse - researchr alias

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Viewing Publication 1 - 35 from 35

2023

Improving Portfolio Performance Using a Novel Method for Predicting Financial RegimesPiotr Pomorski, Denise Gorse. mod 2024: 94-108 [doi]

2022

2021

A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy SelectionDamian Kisiel, Denise Gorse. ciis 2021: 67-71 [doi]

Intra-Day Price Simulation with Generative Adversarial Modelling of the Order FlowYe-Sheen Lim, Denise Gorse. icmla 2021: 397-402 [doi]

2020

Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order FlowYe-Sheen Lim, Denise Gorse. icaisc 2020: 170-179 [doi]

Deep Probabilistic Modelling of Price Movements for High-Frequency TradingYe-Sheen Lim, Denise Gorse. ijcnn 2020: 1-8 [doi]

2018

Reinforcement Learning for High-Frequency Market MakingYe-Sheen Lim, Denise Gorse. esann 2018: [doi]

A neural network cost function for highly class-imbalanced data setsDavid Twomey, Denise Gorse. esann 2018: [doi]

2017

2015

Investing in emerging markets using neural networks and particle swarm optimisationPascal Khoury, Denise Gorse. ijcnn 2015: 1-7 [doi]

Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm OptimisationPascal Khoury, Denise Gorse. iconip 2015: 52-60 [doi]

Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull DesignSam Palmer, Denise Gorse, Ema Muk-Pavic. eann 2015: 8 [doi]

2013

Binary particle swarm optimisation with improved scaling behaviourDenise Gorse. esann 2013: [doi]

Investigation of the Predictability of Steel Manufacturer Stock Price Movements Using Particle Swarm OptimisationPascal Khoury, Denise Gorse. iconip 2013: 673-680 [doi]

A Novel Application of Particle Swarm Optimisation to Optimal Trade ExecutionMarzieh Saeidi, Denise Gorse. iconip 2013: 448-455 [doi]

2012

Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm OptimisationMarta Díez-Fernández, Sergio Alvarez Teleña, Denise Gorse. icann 2012: 140-147 [doi]

Identification of Factors Characterising Volatility and Firm-Specific Risk Using Ensemble ClassifiersPascal Khoury, Denise Gorse. iconip 2012: 450-457 [doi]

Extracting Key Gene Regulatory Dynamics for the Direct Control of Mechanical SystemsJean Krohn, Denise Gorse. ppsn 2012: 468-477 [doi]

2011

Application of stochastic recurrent reinforcement learning to index tradingDenise Gorse. esann 2011: [doi]

2010

Fractal Gene Regulatory Networks for Control of Nonlinear SystemsJean Krohn, Denise Gorse. ppsn 2010: 209-218 [doi]

2001

Speaker identification for security systems using reinforcement-trained pRAM neural network architecturesTrevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor. tsmc, 31(1):65-76, 2001. [doi]

1997

A pulse-based reinforcement algorithm for learning continuous functionsDenise Gorse, David A. Romano-Critchley, John G. Taylor. ijon, 14(4):319-344, 1997. [doi]

The New ERA in Supervised LearningDenise Gorse, Adrian J. Sheperd, John G. Taylor. NN, 10(2):343-352, 1997. [doi]

1995

Response to letter by K. GurneyTrevor G. Clarkson, John G. Taylor, Denise Gorse. NN, 8(3):491, 1995. [doi]

1994

Noisy reinforcement training for pRAM netsY. Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse. NN, 7(3):523-528, 1994. [doi]

1993

Generalization in probabilistic RAM netsTrevor G. Clarkson, Yelin Guan, John G. Taylor, Denise Gorse. tnn, 4(2):360-363, 1993. [doi]

Traking global minima using a range expansion algorithmDenise Gorse, Adrian J. Shepherd, John G. Taylor. esann 1993: [doi]

1992

Learning Probabilistic RAM Nets Using VLSI StructuresTrevor G. Clarkson, Denise Gorse, John G. Taylor, C. K. Ng. TC, 41(12):1552-1561, 1992.

1991

A continuous input RAM-based stochastic neural modelDenise Gorse, John G. Taylor. NN, 4(5):657-665, 1991. [doi]

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