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Pisheh Var, Mahrad and Fairbank, Michael and Samothrakis, Spyridon (2023) Finding Eulerian tours in mazes using amemory-augmented fixed policy function. In: Computing Conference, 2023-06-22 - 2023-06-23, London.

Abdollahi, Mohammad and Yang, Xinan and Fairbank, Michael and Nasri, moncef (2023) Demand Management in Time-slotted Last-mile Delivery via Dynamic Routing with Forecast Orders. European Journal of Operational Research, 309 (2). pp. 704-718. DOI https://doi.org/10.1016/j.ejor.2023.01.023

Pisheh Var, Mahrad and Fairbank, Michael and Samothrakis, Spyros (2023) A Minimal “Functionally Sentient” Organism Trained with Backpropagation Through Time. Adaptive Behavior, 31 (6). pp. 531-544. DOI https://doi.org/10.1177/10597123231166416

Gao, Yixiang and Li, Shuhui and Xiao, Yang and Dong, Weizhen and Fairbank, Michael and Lu, Bing (2022) An Iterative Optimization and Learning-based IoT System for Energy Management of Connected Buildings. IEEE Internet of Things Journal, 9 (21). p. 1. DOI https://doi.org/10.1109/jiot.2022.3176306

Samothrakis, Spyridon and Matran-Fernandez, Ana and Abdullahi, Umar and Fairbank, Michael and Fasli, Maria (2022) Grokking-like effects in counterfactual inference. In: 2022 International Joint Conference on Neural Networks (IJCNN), 2022-07-18 - 2022-07-23, Padua, Italy.

Fairbank, Michael and Samothrakis, Spyridon and Citi, Luca (2022) Deep Learning in Target Space. Journal of Machine Learning Research, 23. pp. 1-46.

Fairbank, Michael and Samothrakis, Spyridon and Citi, Luca (2021) Deep Learning in Target Space. Working Paper. arXiv. (Unpublished)

Venugopal, Ishwar and Tollich, Jessica and Fairbank, Michael and Scherp, Ansgar (2021) A Comparison of Deep-Learning Methods forAnalysing and Predicting Business Processes. In: International Joint Conference on Neural Networks, IJCNN, 2021, 2021-07-18 - 2021-07-22, Shenzhen. (In Press)

Dong, Weizhen and Li, Shuhui and Fu, Xingang and Li, Zhongwen and Fairbank, Michael and Gao, Yixiang (2021) Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 68 (4). pp. 1760-1768. DOI https://doi.org/10.1109/tcsi.2021.3053468

Volkovas, Rokas and Fairbank, Michael and Woodward, John R and Lucas, Simon (2020) Practical Game Design Tool: State Explorer. In: IEEE Conference on Games (CoG) 2020, 2020-08-24 - 2020-08-27, Osaka, Japan.

Krause, Andreas and Fairbank, Michael (2020) Baseline win rates for neural-network based trading algorithms. In: 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020-07-19 - 2020-07-24, Glasgow. (In Press)

Li, Shuhui and Won, Hoyun and Fu, Xingang and Fairbank, Michael and Wunsch, Donald C and Alonso, Eduardo (2020) Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Transactions on Cybernetics, 50 (7). pp. 3218-3230. DOI https://doi.org/10.1109/tcyb.2019.2897653

Doering, J and Fairbank, M and Markose, S (2017) Convolutional neural networks applied to high-frequency market microstructure forecasting. In: Computer Science and Electronic Engineering (CEEC), 2017, 2017-09-27 - 2017-09-29, University of Essex, Colchester.

Fairbank, MH and Volkovas, R and Perez-Liebana, D (2017) Diversity maintenance using a population of repelling random-mutation hill climbers. In: Computer Science and Electronic Engineering (CEEC), 2017-09-27 - 2017-09-29, University of Essex.

Samothrakis, S and Vodopivec, T and Fairbank, M and Fasli, M (2017) Convolutional-Match Networks for Question Answering. In: International Joint Conference on Artificial Intelligence (IJCAI), 2017-08-19 - 2017-08-25, Melbourne.

Samothrakis, S and Vodopivec, T and Fasli, M and Fairbank, M (2016) Match memory recurrent networks. In: 2016 International Joint Conference on Neural Networks (IJCNN), 2016-07-24 - 2016-07-29, Vancouver, BC, Canada.

Li, S and Fu, X and Alonso, E and Fairbank, M and Wunsch, DC (2016) Neural-network based vector control of VSCHVDC transmission systems. In: International Conference on Renewable Energy Research and Applications (ICRERA), 2015, 2015-11-22 - 2015-11-25.

Fu, Xingang and Li, Shuhui and Fairbank, Michael and Wunsch, Donald C and Alonso, Eduardo (2015) Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Transactions on Neural Networks and Learning Systems, 26 (9). pp. 1900-1912. DOI https://doi.org/10.1109/TNNLS.2014.2361267

Alonso, E and Fairbank, M and Mondragon, E (2015) Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adaptive Behavior, 23 (4). pp. 206-215. DOI https://doi.org/10.1177/1059712315589355

Li, S and Alonso, E and Fu, X and Fairbank, M and Jaithwa, I and Wunsch, DC (2015) Hardware Validation for Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks. In: 12th International Conference on Applied Computing 2015, ? - ?, Maynooth, Ireland.

Fairbank, Michael and Prokhorov, Danil and Alonso, Eduardo (2014) Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Transactions on Neural Networks and Learning Systems, 25 (10). pp. 1909-1920. DOI https://doi.org/10.1109/TNNLS.2014.2297991

Fairbank, Michael and Li, Shuhui and Fu, Xingang and Alonso, Eduardo and Wunsch, Donald (2014) An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks, 49. pp. 74-86. DOI https://doi.org/10.1016/j.neunet.2013.09.010

Li, S and Fairbank, M and Johnson, C and Wunsch, DC and Alonso, E and Proao, JL (2014) Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions. IEEE Transactions on Neural Networks and Learning Systems, 25 (4). pp. 738-750. DOI https://doi.org/10.1109/tnnls.2013.2280906

Fairbank, M and Alonso, E and Prokhorov, D (2013) An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Transactions on Neural Networks and Learning Systems, 24 (12). pp. 2088-2100. DOI https://doi.org/10.1109/tnnls.2013.2271778

Fairbank, Michael and Alonso, Eduardo and Prokhorov, Danil (2012) Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networks. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1671-1676. DOI https://doi.org/10.1109/tnnls.2012.2205268

Fairbank, Michael and Alonso, Eduardo (2012) Value-gradient learning. In: The 2012 International Joint Conference on Neural Networks (IJCNN), 2012-06-10 - 2012-06-15, Brisbane, QLD, Australia.

Fairbank, Michael and Alonso, Eduardo (2012) Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networks. Neural Computation, 24 (3). pp. 607-610. DOI https://doi.org/10.1162/neco_a_00248