Michael Fairbank

41 papers A* 1B 10C 2Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Neurocontrol for fixed-length trajectories in environments with soft barriers. Neural Networks Michael Fairbank, Danil V. Prokhorov, David Barragan-Alcantar, Spyridon Samothrakis, Shuhui Li
2023	J	`jnl`	A Minimal "Functionally Sentient" Organism Trained With Backpropagation Through Time. Adapt. Behav. Mahrad Pisheh Var, Michael Fairbank, Spyridon Samothrakis
2023	J	`jnl`	Demand management in time-slotted last-mile delivery via dynamic routing with forecast orders. Eur. J. Oper. Res. Mohammad Abdollahi, Xinan Yang, Moncef Ilies Nasri, Michael Fairbank
2022	J	`jnl`	An Iterative Optimization and Learning-Based IoT System for Energy Management of Connected Buildings. IEEE Internet Things J. Yixiang Gao, Shuhui Li, Yang Xiao, Weizhen Dong, Michael Fairbank, Bing Lu
2022	J	`jnl`	Deep Learning in Target Space. J. Mach. Learn. Res. Michael Fairbank, Spyridon Samothrakis, Luca Citi
2022	B	`conf`	Grokking-like effects in counterfactual inference. IJCNN Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli
2021	B	`conf`	A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. IJCNN Ishwar Venugopal, Jessica Töllich, Michael Fairbank, Ansgar Scherp
2021	J	`jnl`	Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. Weizhen Dong, Shuhui Li, Xingang Fu, Zhongwen Li, Michael Fairbank, Yixiang Gao
2020	B	`conf`	Baseline win rates for neural-network based trading algorithms. IJCNN Andreas Krause, Michael Fairbank
2020	J	`jnl`	Deep Learning in Target Space. CoRR Michael Fairbank, Spyridon Samothrakis
2020	J	`jnl`	Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Trans. Cybern. Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
2020	C	`conf`	Practical Game Design Tool: State Explorer. CoG Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon Lucas
2019	—	`conf`	Extracting Learning Curves From Puzzle Games. CEEC Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
2019	C	`conf`	Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoG Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
2019	J	`jnl`	Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games. CoRR Rokas Volkovas, Michael Fairbank, John R. Woodward, Simon M. Lucas
2017	—	`conf`	Convolutional neural networks applied to high-frequency market microstructure forecasting. CEEC Jonathan Doering, Michael Fairbank, Sheri Markose
2017	A*	`conf`	Convolutional-Match Networks for Question Answering. IJCAI Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli
2017	—	`conf`	Diversity maintenance using a population of repelling random-mutation hill climbers. CEEC Rokas Volkovas, Michael Fairbank, Diego Perez Liebana
2016	B	`conf`	Match memory recurrent networks. IJCNN Spyridon Samothrakis, Tom Vodopivec, Maria Fasli, Michael Fairbank
2016	J	`jnl`	Optimal resampling for the noisy OneMax problem. CoRR Jialin Liu, Michael Fairbank, Diego Perez Liebana, Simon M. Lucas
2015	J	`jnl`	Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adapt. Behav. Eduardo Alonso, Michael Fairbank, Esther Mondragón
2015	—	`conf`	Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. IJCCI (NCTA) Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II
2015	J	`jnl`	Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Trans. Neural Networks Learn. Syst. Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
2014	J	`jnl`	An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks Michael Fairbank, Shuhui Li, Xingang Fu, Eduardo Alonso, Donald C. Wunsch II
2014	J	`jnl`	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. Shuhui Li, Michael Fairbank, Cameron Johnson, Donald C. Wunsch, Eduardo Alonso, Julio L. Proao
2014	J	`jnl`	Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso
2014	—	`—`	Value-gradient learning. Michael Fairbank
2013	J	`jnl`	An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
2013	B	`conf`	Emergent and Adaptive Systems of Systems. SMC Eduardo Alonso, Michael Fairbank
2013	B	`conf`	Nested-loop neural network vector control of permanent magnet synchronous motors. IJCNN Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso
2013	J	`jnl`	The Importance of Clipping in Neurocontrol by Direct Gradient Descent on the Cost-to-Go Function and in Adaptive Dynamic Programming CoRR Michael Fairbank
2012	B	`conf`	A comparison of learning speed and ability to cope without exploration between DHP and TD(0). IJCNN Michael Fairbank, Eduardo Alonso
2012	J	`jnl`	Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. Neural Comput. Michael Fairbank, Eduardo Alonso
2012	J	`jnl`	Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
2012	B	`conf`	The divergence of reinforcement learning algorithms with value-iteration and function approximation. IJCNN Michael Fairbank, Eduardo Alonso
2012	B	`conf`	Value-gradient learning. IJCNN Michael Fairbank, Eduardo Alonso
2012	B	`conf`	Vector control of a grid-connected rectifier/inverter using an artificial neural network. IJCNN Shuhui Li, Donald C. Wunsch, Michael Fairbank, Eduardo Alonso
2011	J	`jnl`	The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation CoRR Michael Fairbank, Eduardo Alonso
2011	J	`jnl`	The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning CoRR Michael Fairbank, Eduardo Alonso
2008	J	`jnl`	Reinforcement Learning by Value Gradients CoRR Michael Fairbank
1999	—	`conf`	A Curvature Primal Sketch Neural Network Recognition System. ICANNGA Michael Fairbank, Andrew Tuson