| Learning in multi-agent systems E Alonso, M d'Inverno, D Kudenko, M Luck, J Noble The Knowledge Engineering Review 16 (3), 277-284, 2001 | 200 | 2001 |
| Artificial neural networks for control of a grid-connected rectifier/inverter under disturbance, dynamic and power converter switching conditions S Li, M Fairbank, C Johnson, DC Wunsch, E Alonso, JL Proao IEEE transactions on neural networks and learning systems 25 (4), 738-750, 2013 | 182 | 2013 |
| Training recurrent neural networks with the Levenberg–Marquardt algorithm for optimal control of a grid-connected converter X Fu, S Li, M Fairbank, DC Wunsch, E Alonso IEEE transactions on neural networks and learning systems 26 (9), 1900-1912, 2014 | 148 | 2014 |
| DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI A Riaz, M Asad, E Alonso, G Slabaugh Journal of neuroscience methods 335, 108506, 2020 | 129 | 2020 |
| Fusion of fMRI and non-imaging data for ADHD classification A Riaz, M Asad, E Alonso, G Slabaugh Computerized Medical Imaging and Graphics 65, 115-128, 2018 | 117 | 2018 |
| Adaptive Agents and Multi-Agent Systems:Adaptation and Multi-Agent Learning E Alonso, D Kudenko, D Kazakov Springer, 2003 | 104* | 2003 |
| Deep learning for single-molecule science T Albrecht, G Slabaugh, E Alonso, SMMR Al-Arif Nanotechnology 28 (42), 423001, 2017 | 78 | 2017 |
| A Rescorla-Wagner drift-diffusion model of conditioning and timing A Luzardo, E Alonso, E Mondragón PLoS computational biology 13 (11), e1005796, 2017 | 76 | 2017 |
| Neural-network vector controller for permanent-magnet synchronous motor drives: Simulated and hardware-validated results S Li, H Won, X Fu, M Fairbank, DC Wunsch, E Alonso IEEE transactions on cybernetics 50 (7), 3218-3230, 2019 | 74 | 2019 |
| Deep fMRI: An end-to-end deep network for classification of fMRI data A Riaz, M Asad, SMMR Al Arif, E Alonso, D Dima, P Corr, G Slabaugh 2018 ieee 15th international symposium on biomedical imaging (isbi 2018 …, 2018 | 71 | 2018 |
| Value-gradient learning M Fairbank, E Alonso Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-8, 2012 | 63 | 2012 |
| Fcnet: a convolutional neural network for calculating functional connectivity from functional mri A Riaz, M Asad, SMMR Al-Arif, E Alonso, D Dima, P Corr, G Slabaugh Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held …, 2017 | 57 | 2017 |
| AI and Agents: State of the Art E Alonso AI Magazine 23 (3), 25-25, 2002 | 57 | 2002 |
| An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances M Fairbank, S Li, X Fu, E Alonso, D Wunsch Neural Networks 49, 74-86, 2014 | 56 | 2014 |
| Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networks M Fairbank, E Alonso, D Prokhorov IEEE transactions on neural networks and learning systems 23 (10), 1671-1676, 2012 | 53 | 2012 |
| Enhanced performance Gaussian process regression for probabilistic short-term solar output forecast F Najibi, D Apostolopoulou, E Alonso International Journal of Electrical Power & Energy Systems 130, 106916, 2021 | 51 | 2021 |
| The divergence of reinforcement learning algorithms with value-iteration and function approximation M Fairbank, E Alonso The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 46 | 2012 |
| An equivalence between adaptive dynamic programming with a critic and backpropagation through time M Fairbank, E Alonso, D Prokhorov IEEE transactions on neural networks and learning systems 24 (12), 2088-2100, 2013 | 42 | 2013 |
| Smart security audit: Reinforcement learning with a deep neural network approximator K Pozdniakov, E Alonso, V Stankovic, K Tam, K Jones 2020 international conference on cyber situational awareness, data analytics …, 2020 | 36 | 2020 |
| Vector control of a grid-connected rectifier/inverter using an artificial neural network S Li, DC Wunsch, M Fairbank, E Alonso The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012 | 33 | 2012 |
Esther MondragónCity, University of London. Artificial Intelligence Research Centre (CitAI)Verified email at city.ac.uk
