Michael Fairbank

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 22

Top Venues

IJCNN

CoRR

IEEE Trans. Neural Networks Learn. Syst.

CEEC

City University London, UK (PHD)

Education History

City University London, UK

PHD

Publications

Mahrad Pisheh Var, Michael Fairbank, Spyridon Samothrakis
A Minimal "Functionally Sentient" Organism Trained With Backpropagation Through Time. Adapt. Behav. 31 (6) (2023)
Mohammad Abdollahi, Xinan Yang, Moncef Ilies Nasri, Michael Fairbank
Demand management in time-slotted last-mile delivery via dynamic routing with forecast orders. Eur. J. Oper. Res. 309 (2) (2023)
Michael Fairbank, Spyridon Samothrakis, Luca Citi
Deep Learning in Target Space. J. Mach. Learn. Res. 23 (2022)
Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli
Grokking-like effects in counterfactual inference. IJCNN (2022)
Yixiang Gao, Shuhui Li, Yang Xiao, Weizhen Dong, Michael Fairbank, Bing Lu
An Iterative Optimization and Learning-Based IoT System for Energy Management of Connected Buildings. IEEE Internet Things J. 9 (21) (2022)
Ishwar Venugopal, Jessica Töllich, Michael Fairbank, Ansgar Scherp
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. IJCNN (2021)
Weizhen Dong, Shuhui Li, Xingang Fu, Zhongwen Li, Michael Fairbank, Yixiang Gao
Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (4) (2021)
Michael Fairbank, Spyridon Samothrakis
Deep Learning in Target Space. CoRR (2020)
Andreas Krause, Michael Fairbank
Baseline win rates for neural-network based trading algorithms. IJCNN (2020)
Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Trans. Cybern. 50 (7) (2020)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon Lucas
Practical Game Design Tool: State Explorer. CoG (2020)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoG (2019)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoRR (2019)
Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
Extracting Learning Curves From Puzzle Games. CEEC (2019)
Jonathan Doering, Michael Fairbank, Sheri Markose
Convolutional neural networks applied to high-frequency market microstructure forecasting. CEEC (2017)
Rokas Volkovas, Michael Fairbank, Diego Perez Liebana
Diversity maintenance using a population of repelling random-mutation hill climbers. CEEC (2017)
Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli
Convolutional-Match Networks for Question Answering. IJCAI (2017)
Spyridon Samothrakis, Tom Vodopivec, Maria Fasli, Michael Fairbank
Match memory recurrent networks. IJCNN (2016)
Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas
Optimal resampling for the noisy OneMax problem. CoRR (2016)
Eduardo Alonso, Michael Fairbank, Esther Mondragón
Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adapt. Behav. 23 (4) (2015)
Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II
Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. IJCCI (NCTA) (2015)
Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Shuhui Li, Michael Fairbank, Cameron Johnson, Donald C. Wunsch, Eduardo Alonso, Julio L. Proao
Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)
Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso
Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
Michael Fairbank, Shuhui Li, Xingang Fu, Eduardo Alonso, Donald C. Wunsch II
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks 49 (2014)
Eduardo Alonso, Michael Fairbank
Emergent and Adaptive Systems of Systems. SMC (2013)
Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. 24 (12) (2013)
Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso
Nested-loop neural network vector control of permanent magnet synchronous motors. IJCNN (2013)
Michael Fairbank
The Importance of Clipping in Neurocontrol by Direct Gradient Descent on the Cost-to-Go Function and in Adaptive Dynamic Programming CoRR (2013)
Michael Fairbank, Eduardo Alonso
Value-gradient learning. IJCNN (2012)
Shuhui Li, Donald C. Wunsch, Michael Fairbank, Eduardo Alonso
Vector control of a grid-connected rectifier/inverter using an artificial neural network. IJCNN (2012)
Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23 (10) (2012)
Michael Fairbank, Eduardo Alonso
The divergence of reinforcement learning algorithms with value-iteration and function approximation. IJCNN (2012)
Michael Fairbank, Eduardo Alonso
A comparison of learning speed and ability to cope without exploration between DHP and TD(0). IJCNN (2012)
Michael Fairbank, Eduardo Alonso
Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. Neural Comput. 24 (3) (2012)
Michael Fairbank, Eduardo Alonso
The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning CoRR (2011)
Michael Fairbank, Eduardo Alonso
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation CoRR (2011)
Michael Fairbank
Reinforcement Learning by Value Gradients CoRR (2008)
Michael Fairbank, Andrew Tuson
A Curvature Primal Sketch Neural Network Recognition System. ICANNGA (1999)

Michael Fairbank.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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Michael Fairbank