City Research Online

Stogiannos, N., Gillan, C., Precht, H. , Reis, C. S. D., Kumar, A., O'Regan, T., Ellis, V., Barnes, A., Meades, R., Pogose, M., Greggio, J., Scurr, E., Kumar, S., King, G., Rosewarne, D., Jones, C., van Leeuwen, K. G., Hyde, E., Beardmore, C., Alliende, J. G., El-Farra, S., Papathanasiou, S. ORCID: 0000-0002-1081-8530, Beger, J., Nash, J., van Ooijen, P., Zelenyanszki, C., Koch, B., Langmack, K. A., Tucker, R., Goh, V., Turmezei, T., Lip, G., Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018, Alonso, E. ORCID: 0000-0002-3306-695X, Dean, G., Hirani, S. P. ORCID: 0000-0002-1577-8806, Torre, S., Akudjedu, T. N., Ohene-Botwe, B. ORCID: 0000-0002-0477-640X, Khine, R., O'Sullivan, C., Kyratsis, Y., McEntee, M., Wheatstone, P., Thackray, Y., Cairns, J., Jerome, D., Scarsbrook, A. & Malamateniou, C. ORCID: 0000-0002-2352-8575view all authors (2024). A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders. Journal of Medical Imaging and Radiation Sciences, 55(4), article number 101717. doi: 10.1016/j.jmir.2024.101717

Deihim, A. ORCID: 0000-0003-3433-2954, Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2024). Initial estimate of AC optimal power flow with graph neural networks. Electric Power Systems Research, 234, article number 110782. doi: 10.1016/j.epsr.2024.110782

Azad, D., Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2024). Initial Estimate of AC Optimal Power Flow with Graph Neural Networks. Paper presented at the Power Systems Computation Conference (PSCC'24), 4-7 Jun 2024, Paris.

Haffez, A. B., Alonso, E. ORCID: 0000-0002-3306-695X & Riaz, A. (2024). DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing. The 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), 8-12 Apr 2024, Avila, Spain. doi: 10.1145/3605098.3635962

Shering, T., Alonso, E. ORCID: 0000-0002-3306-695X & Apostolopoulou, D. (2024). Investigation of electricity demand, solar and wind generation as target variables in LSTM time series forecasting, using exogenous weather variables. Energies, 17(8), article number 1827. doi: 10.3390/en17081827

Mir, A., Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2024). DiT-Head: High Resolution Talkin Head Synthesis using Diffusion Transformers. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence. 16th International Conference on Agents and Artificial Intelligence (ICAART 2024), 24-26 Feb 2024, Rome, Italy. doi: 10.5220/0012312200003636

Cătărău-Cotuțiu, C., Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. ORCID: 0000-0002-3306-695X (2023). AIGenC: AI Generalisation via Creativity. In: Lecture Notes in Artificial Intelligence (LNAI). EPIA Conference on Artificial Intelligence, 5-8 Sep 2023, Azores, Portugal. doi: 10.1007/978-3-031-49011-8_4

Deihim, A., Alonso, E. ORCID: 0000-0002-3306-695X & Apostolopoulou, D. ORCID: 0000-0002-9012-9910 (2023). STTRE: A Spatio-Temporal Transformer with Relative Embeddings for Multivariate Time Series Forecasting. Neural Networks, 168, pp. 549-559. doi: 10.1016/j.neunet.2023.09.039

Fu, X., Sturtz, J., Alonso, E. ORCID: 0000-0002-3306-695X , Qingge, L. & Challoo, R.view all authors (2023). Parallel Trajectory Training of Recurrent Neural Network Controllers with Levenberg–Marquardt and Forward Accumulation Through Time in Closed-loop Control Systems. IEEE Transactions on Sustainable Computing, 9(2), pp. 222-229. doi: 10.1109/tsusc.2023.3330573

Suen, C-H. & Alonso, E. ORCID: 0000-0002-3306-695X (2023). Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample - Application in Gomoku Reinforcement Learning. In: Proceedings of the AISB Convention 2023. AISB Convention 2023, 13-14 April 2023, Swansea, UK.

Hafeez, A. B., Alonso, E. ORCID: 0000-0002-3306-695X & Riaz, A. (2023). DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. In: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 12-14 Dec 2022, Nassau, Bahamas. doi: 10.1109/ICMLA55696.2022.00085

Cătărău-Cotuțiu, C., Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. ORCID: 0000-0002-3306-695X (2022). AIGenC: AI generalisation via creativity. doi: 10.48550/arXiv.2205.09738

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 & Alonso, E. ORCID: 0000-0002-3306-695X (2022). Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. In: ArtsIT, Interactivity and Game Creation. EAI ArtsIT 2021 – 10th EAI International Conference: ArtsIT, Interactivity & Game Creation, 2-4 Dec 2021, Karlsruhe, Germany (virtual). doi: 10.1007/978-3-030-95531-1_30

Hafeez, A. B., Alonso, E. ORCID: 0000-0002-3306-695X & Ter-Sarkisov, A. (2022). Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance. In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE 2021 International Conference on Machine Learning and Application (ICMLA-21), 13-16 Dec 2021, Pasadena, CA (virtual). doi: 10.1109/ICMLA52953.2021.00167

Fu, X., Li, S., Wunsch, D. C. & Alonso, E. ORCID: 0000-0002-3306-695Xview all authors (2021). Local Stability and Convergence Analysis of Neural Network Controllers with Error Integral Inputs. IEEE Transactions on Neural Networks and Learning Systems, 34(7), pp. 3751-3763. doi: 10.1109/tnnls.2021.3116189

Lewis, D., Zugarini, A. & Alonso, E. ORCID: 0000-0002-3306-695X (2021). Syllable Neural Language Models for English Poem Generation. In: Proceedings of the Twelfth International Conference on Computational Creativity. 12th International Conference on Computational Creativity (ICCC'21), 14-18 Sep 2021, Mexico City, Mexico.

Najibi, F. ORCID: 0000-0002-2866-623X, Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2021). Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast. International Journal of Electrical Power and Energy Systems, 130, article number 106916. doi: 10.1016/j.ijepes.2021.106916

Rozada, S., Apostolopoulou, D. & Alonso, E. ORCID: 0000-0002-3306-695X (2021). Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed LoadFrequency Control. IET Energy Systems Integration, 3(3), pp. 327-343. doi: 10.1049/esi2.12030

Najibi, F. ORCID: 0000-0002-2866-623X, Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2021). Clustering Sensitivity Analysis for Gaussian Process Regression Based Solar Output Forecast. In: 2021 IEEE Madrid PowerTech. IEEE PowerTech Conference, 28 Jun - 2 Jul 2021, Madrid, Spain. doi: 10.1109/PowerTech46648.2021.9495007

Ikram, K., Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E. ORCID: 0000-0002-3306-695X & Garcia-Ortiz, M.view all authors (2021). HexaJungle: a MARL Simulator to Study the Emergence of Language. Paper presented at the Conference on Computer Vision and Pattern Recognition (CVPR 2021), Embodied AI Workshop, 20-25 Jun 2021, Nashville, Tennessee.

Jankovics, V., Garcia-Ortiz, M. & Alonso, E. ORCID: 0000-0002-3306-695X (2021). HetSAGE: Heterogenous Graph Neural Network for Relational Learning. In: AAAI-21 Student Papers and Demonstrations. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2-9 February 2021, virtual conference.

Mello, F., Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2021). Cost Efficient Distributed Load Frequency Control in Power Systems. In: IFAC-PapersOnLine. 21st IFAC World Congress, 12-17 Jul 2020, Berlin, Germany. doi: 10.1016/j.ifacol.2020.12.2236

Ananda, A., Ngan, K. H. ORCID: 0000-0001-7623-942X, Karabağ, C. ORCID: 0000-0003-4424-0471 , Ter-Sarkisov, A., Alonso, E. ORCID: 0000-0002-3306-695X & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018view all authors (2021). Classification and Visualisation of Normal and Abnormal Radiographs: a comparison between Eleven Convolutional Neural Network Architectures. Sensors, 21(16), article number 5381. doi: 10.3390/s21165381

Najibi, F. ORCID: 0000-0002-2866-623X, Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2021). Enhanced Performance Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast. International Journal of Electrical Power and Energy Systems, 130(106916), article number 106916. doi: 10.1016/j.ijepes.2021.106916

Najibi, F. ORCID: 0000-0002-2866-623X, Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2021). TSO-DSO Coordination Schemes to Facilitate Distributed Resources Integration. Sustainability, 13(14), article number 7832. doi: 10.3390/su13147832

Rozada, S., Apostolopoulou, D. ORCID: 0000-0002-9012-9910 & Alonso, E. ORCID: 0000-0002-3306-695X (2020). Load Frequency Control: A Deep Multi-Agent Reinforcement Learning Approach. In: 2020 IEEE Power & Energy Society General Meeting (PESGM). 2020 IEEE PES General Meeting, 2-6 Aug 2020, Montreal, Canada. doi: 10.1109/PESGM41954.2020.9281614

Lambrechts, A. ORCID: 0000-0002-0497-1475, Cook, J., Ludvig, E. A. , Alonso, E. ORCID: 0000-0002-3306-695X, Anns, S., Taylor, M. & Gaigg, S. B. ORCID: 0000-0003-2644-7145view all authors (2020). Reward devaluation in autistic and adolescents with complex needs: a feasibility study. Autism Research, 13(11), pp. 1915-1928. doi: 10.1002/aur.2388

Pozdniakov, K., Alonso, E. ORCID: 0000-0002-3306-695X, Stankovic, V. ORCID: 0000-0002-8740-6526 , Tam, K. & Jones, K.view all authors (2020). Smart Computer Security Audit: Reinforcement Learning with a Deep Neural Network Approximator. In: 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA). cyber2020, 15-17 Jun 2020, Dublin, Ireland.

Riaz, A., Asad, M., Alonso, E. ORCID: 0000-0002-3306-695X & Slabaugh, G. G.view all authors (2020). DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI. Journal of Neuroscience Methods, 335, article number 108506. doi: 10.1016/j.jneumeth.2019.108506

Ananda, Karabağ, C. ORCID: 0000-0003-4424-0471, Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 , Alonso, E. ORCID: 0000-0002-3306-695X & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018view all authors (2020). Radiography Classification: A comparison between Eleven Convolutional Neural Networks. In: 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA), 19-22 Oct 2020, Online. doi: 10.1109/MCNA50957.2020.9264285

Bauer, J., Broom, M. ORCID: 0000-0002-1698-5495 & Alonso, E. ORCID: 0000-0002-3306-695X (2019). The Stabilisation of Equilibria in Evolutionary Game Dynamics through Mutation: Mutation Limits in Evolutionary Games. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2231), article number 20190355. doi: 10.1098/rspa.2019.0355

Kokkola, N., Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. ORCID: 0000-0002-3306-695X (2019). A Double Error Dynamic Asymptote Model of Associative Learning. Psychological Review, 126(4), pp. 506-549. doi: 10.1037/rev0000147

Li, S., Won, H., Fu, X. , Fairbank, M., Wunsch, D. C. & Alonso, E. ORCID: 0000-0002-3306-695Xview all authors (2019). 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: 10.1109/tcyb.2019.2897653

Carrera, A., Alonso, E. ORCID: 0000-0002-3306-695X & Iglesias, C. A. (2019). A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors, 19(15), article number 3408. doi: 10.3390/s19153408

Olliverre, N. J., Yang, G., Slabaugh, G. G. , Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & Alonso, E.view all authors (2018). Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. In: Simulation and Synthesis in Medical Imaging. SASHIMI 2018: Simulation and Synthesis in Medical Imaging, 16 Sep 2018, Granada, Spain. doi: 10.1007/978-3-030-00536-8_14

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G.view all authors (2018). Conditional Regressive Random Forest Stereo-based Hand Depth Recovery. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 614-622. doi: 10.1109/ICCVW.2017.78

Guimera Busquets, J., Alonso, E. & Evans, A. (2018). Air itinerary shares estimation using multinomial logit models. Transportation Planning and Technology, 41(1), pp. 3-16. doi: 10.1080/03081060.2018.1402742

Basaru, R. R., Slabaugh, G. G., Alonso, E. & Child, C. H. T.view all authors (2018). Data-driven Recovery of Hand Depth using Conditional Regressive Random Forest on Stereo Images. IET Computer Vision, 12(5), pp. 666-678. doi: 10.1049/iet-cvi.2017.0227

Riaz, A., Asad, M., Al-Arif, S. M. , Alonso, E. ORCID: 0000-0002-3306-695X, Dima, D. ORCID: 0000-0002-2598-0952, Corr, P. J. ORCID: 0000-0002-7618-0058 & Slabaugh, G. G.view all authors (2018). DeepFMRI: And End-to-End Deep Network for Classification of FRMI Data. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 1419-1422. doi: 10.1109/ISBI.2018.8363838

Najibi, F., Alonso, E. ORCID: 0000-0002-3306-695X & Apostolopoulou, D. ORCID: 0000-0002-9012-9910 (2018). Optimal Dispatch of Pumped Storage Hydro Cascade under Uncertainty. In: 2018 UKACC 12th International Conference on Control (CONTROL). Control 2018 – 12th International UKACC Conference on Control, 05 - 07 September 2018, Sheffield, UK.

Luzardo, A., Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2017). A Rescorla-Wagner Drift-Diffusion Model of Conditioning and Timing. PLoS Computational Biology, 13(11), article number e1005796. doi: 10.1371/journal.pcbi.1005796

Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E. & Kokkola, N. (2017). Associative Learning Should Go Deep. Trends in Cognitive Science, 21(11), pp. 822-825. doi: 10.1016/j.tics.2017.06.001

Riaz, A., Asad, M., Alonso, E. & Slabaugh, G. G.view all authors (2017). Fusion of fMRI and Non-Imaging Data for ADHD Classification. Computerized Medical Imaging and Graphics, 65, pp. 115-128. doi: 10.1016/j.compmedimag.2017.10.002

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G.view all authors (2017). Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo. Paper presented at the International Conference on Computer Vision Workshop on Observing and Understanding Hands in Action, 23 Oct 2017, Venice, Italy.

Albrecht, T., Slabaugh, G. G., Alonso, E. & Al-Arif, M. R.view all authors (2017). Deep Learning for Single-Molecule Science. Nanotechnology, 28(42), article number 423001. doi: 10.1088/1361-6528/aa8334

Luzardo, A., Rivest, F., Alonso, E. & Ludvig, E.view all authors (2017). A Drift-Diffusion Model of Interval Timing in the Peak Procedure. Journal of Mathematical Psychology, 77, pp. 111-123. doi: 10.1016/j.jmp.2016.10.002

Riaz, A., Asad, M., Al-Arid, S. M. M. R. , Alonso, E., Dima, D., Corr, P. J. & Slabaugh, G. G.view all authors (2017). FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI. Lecture Notes in Computer Science, 10511, pp. 70-78. doi: 10.1007/978-3-319-67159-8_9

Slabaugh, G. G., Child, C. H. T., Alonso, E. & Basaru, R. R.view all authors (2016). HandyDepth: Example-based Stereoscopic Hand Depth Estimation using Eigen Leaf Node Features. Paper presented at the International Conference on Systems, Signals and Image Processing, 23-25 May 2016, Bratislava, Slovakia.

Riaz, A., Alonso, E. & Slabaugh, G. G. (2016). Phenotypic Integrated Framework for Classification of ADHD using fMRI. In: Image Analysis and Recognition. ICIAR 2016. International Conference on Image Analysis and Recognition (ICIAR 2016), 13-15 Jul 2016, Póvoa de Varzim, Portugal.

Mondragon, E. ORCID: 0000-0003-4180-1261 & Alonso, E. (2016). Hall and Rodríguez model as a particular case of the Pearce and Hall model: A formal analysis. St Albans, UK: Centre for Computational and Animal Learning Research.

Li, S., Fu, X., Alonso, E. , Fairbank, M. & Wunsch, D. C.view all authors (2016). Neural-network based vector control of VSCHVDC transmission systems. Paper presented at the 4th International Conference on Renewable Energy Research and Applications (ICRERA), 22-25 Nov 2015, Palermo, Italy. doi: 10.1109/ICRERA.2015.7418673

Fu, X., Li, S., Fairbank, M. , Wunsch, D. C. & Alonso, E.view all authors (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: 10.1109/tnnls.2014.2361267

Slabaugh, G. G., Basaru, R. R., Child, C. H. T. & Alonso, E.view all authors (2015). Quantized Census for Stereoscopic Image Matching. Paper presented at the Second International Conference on 3D Vision (3DV 2014), 08-12-2014 - 11-12-2014, Tokyo, Japan.

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2015). Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adaptive Behavior, 23(4), pp. 206-215. doi: 10.1177/1059712315589355

Busquets, J. G., Alonso, E. & Evans, A. (2015). Application of Data Mining to forecast Air Traffic: A 3-Stage Model using Discrete Choice Modeling. Paper presented at the 16th AIAA Aviation Technology, Integration, and Operations Conference, 13-17 Jun 2016, Washington D.C., USA.

Busquets, J. G., Alonso, E. & Evans, A. (2015). Application of Data Mining in Air Traffic Forecasting. Paper presented at the 15th AIAA Aviation Technology, Integration, and Operations Conference, 22-06-205 - 26-06-2015, Dallas, USA. doi: 10.2514/6.2015-2732

Karcanias, N., Hessami, A. G. & Alonso, E. (2015). Complexity of Multi-Modal Transportation and Systems of Systems. Paper presented at the 47th Annual Universities’ Transport Study Group Conference (UTSG 2015), 24 Dec 2014 - 5 Jan 2015, London, UK.

Shuhui, L., Fu, X., Jaithwa, I. , Alonso, E., Fairbank, M. & Wunsch, D. C.view all authors (2015). Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks. Paper presented at the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 12-11-2015 - 14-11-2015, Lisbon, Portugal.

Li, S., Alonso, E., Fairbank, M. , Jaithwa, I. & Wunsch, D. C.view all authors (2015). Hardware Validation for Control of Three-Phase Grid-Connected Microgrids Using Artificial Neural Networks. Paper presented at the 12th International Conference on Applied Computing 2015, 24-10-2015 - 26-10-2015, Maynooth, Ireland.

Teichmann, J., Alonso, E. & Broom, M. (2015). A reward-driven model of Darwinian fitness. Paper presented at the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 12-14 Nov 2015, Lisbon, Portugal.

Fairbank, M., Prokhorov, D. & Alonso, E. (2014). Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Transactions on Neural Networks and Learning Systems, 25(10), pp. 1909-1920. doi: 10.1109/tnnls.2014.2297991

Teichmann, J., Broom, M. & Alonso, E. (2014). The application of temporal difference learning in optimal diet models. Journal of Theoretical Biology, 340(7), pp. 11-16. doi: 10.1016/j.jtbi.2013.08.036

Mondragon, E. ORCID: 0000-0003-4180-1261, Gray, J., Alonso, E. , Bonardi, C. & Jennings, D. J.view all authors (2014). SSCC TD: A Serial and Simultaneous Configural-Cue Compound Stimuli Representation for Temporal Difference Learning. PLoS One, 9(7), article number e102469. doi: 10.1371/journal.pone.0102469

Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. International Journal of Artificial Life Research, 4(1), pp. 1-12. doi: 10.4018/ijalr.2014010101

Fairbank, M., Li, S., Fu, X. , Alonso, E. & Wunsch, D. C.view all authors (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: 10.1016/j.neunet.2013.09.010

Alonso, E. (2014). Actions and Agents. In: Frankish, K. & Ramsey, W. (Eds.), The Cambridge Handbook of Artificial Intelligence. (pp. 232-246). UK: Cambridge University Press. doi: 10.1017/CBO9781139046855

Alonso, E., Sahota, P. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Computational Models of Classical Conditioning: A Qualitative Evaluation and Comparison. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.

Teichmann, J., Broom, M. & Alonso, E. (2014). The Evolutionarily Dynamics of Aposematism: a Numerical Analysis of Co-Evolution in Finite Populations. Mathematical Modelling of Natural Phenomena (MMNP), 9(3), pp. 148-164. doi: 10.1051/mmnp/20149310

Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). Quantum Probability and Operant Conditioning: Behavioral Uncertainty in Reinforcement Learning. Paper presented at the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), 06-03-2014 - 08-03-2014, Angers, France.

Weller, P., Fernandez, A. & Alonso, E. (2014). Towards a Personalised Health System. Paper presented at the 7th International Conference on Health Informatics (HEALTHINF 2014), 03-03-2015 - 06-03-2015, Angers, France.

Fairbank, M., Alonso, E. & 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: 10.1109/tnnls.2013.2271778

Jennings, D., Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 , Franssen, M. & Bonardi, C.view all authors (2013). The Effect of Stimulus Distribution Form on the Acquisition and Rate of Conditioned Responding: Implications for Theory. Journal of Experimental Psychology: Animal Behavior Processes, 39(3), pp. 233-248. doi: 10.1037/a0032151

Mondragon, E. ORCID: 0000-0003-4180-1261, Alonso, E., Fernandez, A. & Gray, J.view all authors (2013). An extension of the Rescorla and Wagner Simulator for context conditioning. Computer Methods and Programs in Biomedicine, 110(2), pp. 226-230. doi: 10.1016/j.cmpb.2013.01.016

Li, S., Fairbank, M., Johnson, C. , Wunsch, D. C., Alonso, E. & Proano, J. L.view all authors (2013). 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: 10.1109/tnnls.2013.2280906

Mondragon, E. ORCID: 0000-0003-4180-1261, Gray, J. & Alonso, E. (2013). A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. Neuroinformatics, 11(2), pp. 259-261. doi: 10.1007/s12021-012-9172-z

Alonso, E., Karcanias, N. & Hessami, A. G. (2013). Symmetries, Groups, Groupoids and Systems of Systems. SYSCON 2013: 7th Annual IEEE International Systems Conference, 1, pp. 244-250. doi: 10.1109/syscon.2013.6549889

Fairbank, M., Prokhorov, D. & Alonso, E. (2013). Approximating Optimal Control with Value Gradient Learning. In: Lewis, F. & Liu, D. (Eds.), Reinforcement Learning and Approximate Dynamic Programming for Feedback Control. (pp. 142-161). Hoboken, NJ, USA: Wiley-IEEE Press. doi: 10.1002/9781118453988

Alonso, E. & Fairbank, M. (2013). Emergent and Adaptive Systems of Systems. Paper presented at the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 13-10-2013 - 16-10-2013, Manchester, UK.

Li, S., Fairbank, M., Fu, X. , Wunsch, D. C. & Alonso, E.view all authors (2013). Nested-Loop Neural Network Vector Control of Permanent Magnet Synchronous Motors. In: India Conference, 2008. INDICON 2008. Annual IEEE. (pp. 81-86). IEEE.

Alonso, E., Karcanias, N. & Hessami, A. G. (2013). Multi-Agent Systems: A new paradigm for Systems of Systems. Paper presented at the ICONS 2013 : The Eighth International Conference on Systems, 27-01-2013 - 01-02-2013, Seville, Spain.

Alonso, E., Karcanias, N. & Hessami, A. G. (2013). Symmetries, groups and groupoids for Systems of Systems. Paper presented at the 2013 IEEE International Systems Conference (SysCon), 15-04-2013 - 18-04-2013, Orlando, USA. doi: 10.1109/SysCon.2013.6549889

Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Fernandez, A. (2012). A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Computer Methods and Programs in Biomedicine, 108(1), pp. 346-355. doi: 10.1016/j.cmpb.2012.02.004

Fairbank, M., Alonso, E. & Prokhorov, D. (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: 10.1109/tnnls.2012.2205268

Fairbank, M. & Alonso, E. (2012). A Comparison of Learning Speed and Ability to Cope Without Exploration between DHP and TD(0). The 2012 International Joint Conference on Neural Networks (IJCNN), 7, pp. 1-8. doi: 10.1109/ijcnn.2012.6252569

Alonso, E. ORCID: 0000-0002-3306-695X, Mondragon, E. ORCID: 0000-0003-4180-1261 & Kjaell-Ohlsson, N. (2012). Internally Driven Q-learning - Convergence and Generalization Results. In: Filipe, J. & Fred, A. (Eds.), Proceedings of the 4th International Conference on Agents and Artificial Intelligence. 4th International Conference on Agents and Artificial Intelligence, 6-8 Feb 2012, Algarve, Portugal. doi: 10.5220/0003736404910494

Fairbank, M. & Alonso, E. (2012). A Comparison of Learning Speed and Ability to Cope Without Exploration between DHP and TD(0). Paper presented at the IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), 1783-1789, 10-15-2012, Brisbane, Australia. doi: 10.1109/IJCNN.2012.6252569

Alonso, E. & Schmajuk, N. (2012). Computational Models of Classical Conditioning guest editors’ introduction. Learning and Behavior, 40(3), pp. 231-240. doi: 10.3758/s13420-012-0081-7

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Conditioning for Least Action. Paper presented at the 11th International Conference on Cognitive Modeling, 13-04-2012 - 15-04-2012, Berlin, Germany.

Fairbank, M. & Alonso, E. (2012). Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. Neural Computation, 24(3), pp. 607-610. doi: 10.1162/NECO_a_00248

Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2012). Uses, Abuses and Misuses of Computational Models in Classical Conditioning. Paper presented at the 11th International Conference on Cognitive Modeling, 13-15 Apr 2012, Berlin, Germany.

Fairbank, M. & Alonso, E. (2012). Value-Gradient Learning. Paper presented at the WCCI 2012 IEEE World Congress on Computational Intelligence, 10-06-2012 - 15-06-2012, Brisbane, Australia. doi: 10.1109/IJCNN.2012.6252791

Li, S., Fairbank, M., Wunsch, D. C. & Alonso, E.view all authors (2012). Vector Control of a Grid-Connected Rectifier/Inverter Using an Artificial Neural Network. Paper presented at the IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), 1783-1789, 10-15-2012, Brisbane, Australia. doi: 10.1109/IJCNN.2012.6252614

Fairbank, M. & Alonso, E. (2012). The divergence of reinforcement learning algorithms with value-iteration and function approximation. Paper presented at the The 2012 International Joint Conference on Neural Networks (IJCNN), 10-06-2012 - 15-06-2012, Brisbane, Australia. doi: 10.1109/IJCNN.2012.6252792

Alonso, E. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2010). Computational models of learning and beyond: Symmetries of associative learning. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. (pp. 316-332). IGI Global. doi: 10.4018/978-1-60960-021-1.ch013

Jennings, D., Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Bonardi, C.view all authors (2010). Temporal uncertainty during overshadowing: A temporal difference account. In: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. (pp. 46-55). IGI Global. doi: 10.4018/978-1-60960-021-1.ch003