A Curvature Primal Sketch Neural Network Recognition System. - Michael Fairbank; Andrew Tuson (ICANNGA, 1999)

Reinforcement Learning by Value Gradients - Michael Fairbank (CoRR, 2008)

The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning - Michael Fairbank; Eduardo Alonso (CoRR, 2011)

A comparison of learning speed and ability to cope without exploration between DHP and TD(0). - Michael Fairbank; Eduardo Alonso (IJCNN, 2012)

Value-gradient learning. - Michael Fairbank; Eduardo Alonso (IJCNN, 2012)

The divergence of reinforcement learning algorithms with value-iteration and function approximation. - Michael Fairbank; Eduardo Alonso (IJCNN, 2012)

Vector control of a grid-connected rectifier/inverter using an artificial neural network. - Shuhui Li 001; Donald C. Wunsch; Michael Fairbank; Eduardo Alonso (IJCNN, 2012)

Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. - Michael Fairbank; Eduardo Alonso (Neural Comput., 2012)

Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. - Michael Fairbank; Eduardo Alonso; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2012)

Nested-loop neural network vector control of permanent magnet synchronous motors. - Shuhui Li 001; Michael Fairbank; Xingang Fu; Donald C. Wunsch; Eduardo Alonso (IJCNN, 2013)

Emergent and Adaptive Systems of Systems. - Eduardo Alonso; Michael Fairbank (SMC, 2013)

The Importance of Clipping in Neurocontrol by Direct Gradient Descent on the Cost-to-Go Function and in Adaptive Dynamic Programming - Michael Fairbank (CoRR, 2013)

An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. - Michael Fairbank; Eduardo Alonso; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2013)

An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. - Michael Fairbank; Shuhui Li 001; Xingang Fu; Eduardo Alonso; Donald C. Wunsch II (Neural Networks, 2014)

Clipping in Neurocontrol by Adaptive Dynamic Programming. - Michael Fairbank; Danil V. Prokhorov; Eduardo Alonso (IEEE Trans. Neural Networks Learn. Syst., 2014)

Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions. - Shuhui Li 001; Michael Fairbank; Cameron Johnson; Donald C. Wunsch; Eduardo Alonso; Julio L. Proao (IEEE Trans. Neural Networks Learn. Syst., 2014)

Value-gradient learning. - Michael Fairbank (2014)

Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. - Shuhui Li 001; Xingang Fu; Ishan Jaithwa; Eduardo Alonso; Michael Fairbank; Donald C. Wunsch II (IJCCI (NCTA), 2015)

Back to optimality: a formal framework to express the dynamics of learning optimal behavior. - Eduardo Alonso; Michael Fairbank; Esther Mondragón (Adapt. Behav., 2015)

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. - Xingang Fu; Shuhui Li 001; Michael Fairbank; Donald C. Wunsch; Eduardo Alonso (IEEE Trans. Neural Networks Learn. Syst., 2015)

Match memory recurrent networks. - Spyridon Samothrakis; Tom Vodopivec; Maria Fasli; Michael Fairbank (IJCNN, 2016)

Optimal resampling for the noisy OneMax problem. - Jialin Liu 001; Michael Fairbank; Diego Perez Liebana; Simon M. Lucas (CoRR, 2016)

Convolutional neural networks applied to high-frequency market microstructure forecasting. - Jonathan Doering; Michael Fairbank; Sheri Markose (CEEC, 2017)

Diversity maintenance using a population of repelling random-mutation hill climbers. - Rokas Volkovas; Michael Fairbank; Diego Perez Liebana (CEEC, 2017)

Convolutional-Match Networks for Question Answering. - Spyridon Samothrakis; Tom Vodopivec; Michael Fairbank; Maria Fasli (IJCAI, 2017)

Extracting Learning Curves From Puzzle Games. - Rokas Volkovas; Michael Fairbank; John R. Woodward; Simon M. Lucas (CEEC, 2019)

Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. - Rokas Volkovas; Michael Fairbank; John R. Woodward; Simon M. Lucas (CoG, 2019)

Practical Game Design Tool: State Explorer. - Rokas Volkovas; Michael Fairbank; John R. Woodward; Simon Lucas 001 (CoG, 2020)

Baseline win rates for neural-network based trading algorithms. - Andreas Krause 002; Michael Fairbank (IJCNN, 2020)

Deep Learning in Target Space. - Michael Fairbank; Spyridon Samothrakis (CoRR, 2020)

Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. - Shuhui Li 001; Hoyun Won; Xingang Fu; Michael Fairbank; Donald C. Wunsch; Eduardo Alonso (IEEE Trans. Cybern., 2020)

A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. - Ishwar Venugopal; Jessica Töllich; Michael Fairbank; Ansgar Scherp (IJCNN, 2021)

Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks. - Weizhen Dong; Shuhui Li 001; Xingang Fu; Zhongwen Li; Michael Fairbank; Yixiang Gao (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Grokking-like effects in counterfactual inference. - Spyridon Samothrakis; Ana Matran-Fernandez; Umar I. Abdullahi; Michael Fairbank; Maria Fasli (IJCNN, 2022)

An Iterative Optimization and Learning-Based IoT System for Energy Management of Connected Buildings. - Yixiang Gao; Shuhui Li 001; Yang Xiao 001; Weizhen Dong; Michael Fairbank; Bing Lu (IEEE Internet Things J., 2022)

Deep Learning in Target Space. - Michael Fairbank; Spyridon Samothrakis; Luca Citi (J. Mach. Learn. Res., 2022)

Demand management in time-slotted last-mile delivery via dynamic routing with forecast orders. - Mohammad Abdollahi; Xinan Yang; Moncef Ilies Nasri; Michael Fairbank (Eur. J. Oper. Res., 2023)

A Minimal "Functionally Sentient" Organism Trained With Backpropagation Through Time. - Mahrad Pisheh Var; Michael Fairbank; Spyridon Samothrakis (Adapt. Behav., 2023)

Neurocontrol for fixed-length trajectories in environments with soft barriers. - Michael Fairbank; Danil V. Prokhorov; David Barragan-Alcantar; Spyridon Samothrakis; Shuhui Li (Neural Networks, 2025)