| 2022 | IJCNN | Grokking-like effects in counterfactual inference. | Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli |
| 2021 | IJCNN | A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes. | Ishwar Venugopal, Jessica Tllich, Michael Fairbank, Ansgar Scherp |
| 2020 | IJCNN | Baseline win rates for neural-network based trading algorithms. | Andreas Krause, Michael Fairbank |
| 2017 | IJCAI | Convolutional-Match Networks for Question Answering. | Spyridon Samothrakis, Tom Vodopivec, Michael Fairbank, Maria Fasli |
| 2016 | IJCNN | Match memory recurrent networks. | Spyridon Samothrakis, Tom Vodopivec, Maria Fasli, Michael Fairbank |
| 2015 | IJCCI | Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. | Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II |
| 2013 | IJCNN | Nested-loop neural network vector control of permanent magnet synchronous motors. | Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso |
| 2013 | SMC | Emergent and Adaptive Systems of Systems. | Eduardo Alonso, Michael Fairbank |
| 2012 | IJCNN | A comparison of learning speed and ability to cope without exploration between DHP and TD(0). | Michael Fairbank, Eduardo Alonso |
| 2012 | IJCNN | Value-gradient learning. | Michael Fairbank, Eduardo Alonso |
| 2012 | IJCNN | The divergence of reinforcement learning algorithms with value-iteration and function approximation. | Michael Fairbank, Eduardo Alonso |
| 2012 | IJCNN | Vector control of a grid-connected rectifier/inverter using an artificial neural network. | Shuhui Li, Donald C. Wunsch, Michael Fairbank, Eduardo Alonso |