Items where City Author is "Alonso, E."

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Number of items: 46.

Article

Mondragon, E., Alonso, E. & Kokkola, N. (2017). Associative Learning Should Go Deep. Trends in Cognitive Science, doi: 10.1016/j.tics.2017.06.001

Luzardo, A., Rivest, F., Alonso, E. & Ludvig, E. (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

Fu, X., Li, S., Fairbank, M., Wunsch, D. C. & Alonso, E. (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

Alonso, E., Fairbank, M. & 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: 10.1177/1059712315589355

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

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

Fairbank, M., Li, S., Fu, X., Alonso, E. & Wunsch, D. C. (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

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

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., Franssen, M. & Bonardi, C. (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., Alonso, E., Fernandez, A. & Gray, J. (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. (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., 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, pp. 244-250. doi: 10.1109/SysCon.2013.6549889

Alonso, E., Mondragon, E. & 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), pp. 1478-1485. 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

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

Book Section

Alonso, E. (2014). Actions and Agents. In: K. Frankish & W. Ramsey (Eds.), The Cambridge Handbook of Artificial Intelligence. (pp. 232-246). UK: Cambridge University Press. ISBN 9781139046855

Fairbank, M., Prokhorov, D. & Alonso, E. (2013). Approximating Optimal Control with Value Gradient Learning. In: F. Lewis & D. Liu (Eds.), Reinforcement Learning and Approximate Dynamic Programming for Feedback Control. (pp. 142-161). Hoboken, NJ, USA: Wiley-IEEE Press. ISBN 111810420X

Li, S., Fairbank, M., Fu, X., Wunsch, D. C. & Alonso, E. (2013). Nested-Loop Neural Network Vector Control of Permanent Magnet Synchronous Motors. In: India Conference, 2008. INDICON 2008. Annual IEEE. (pp. 81-86). IEEE. ISBN 978-1-4673-6128-6

Alonso, E. & Mondragon, E. (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. ISBN 9781609600211

Jennings, D., Alonso, E., Mondragon, E. & Bonardi, C. (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. ISBN 9781609600211

Conference or Workshop Item

Slabaugh, G.G., Child, C. H. T., Alonso, E. & Basaru, R. R. (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.

Busquets, J. G., Alonso, E. & Evans, A. (2016). 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.

Li, S., Fu, X., Alonso, E., Fairbank, M. & Wunsch, D. C. (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.

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

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.

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. (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. (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.

Alonso, E., Sahota, P. & Mondragon, E. (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.

Alonso, E. & Mondragon, E. (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.

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.

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.

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.

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

Alonso, E. & Mondragon, E. (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.

Li, S., Fairbank, M., Wunsch, D. C. & Alonso, E. (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.

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.

Slabaugh, G.G., Basaru, R. R., Child, C. H. T. & Alonso, E. 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.

This list was generated on Mon Jul 24 06:13:13 2017 UTC.