Items where Author is "Alonso, E."

Up a level
Export as [feed] RSS 2.0 [feed] RSS
Group by: Item Type | No Grouping
Number of items: 51.

Article

Albrecht, T., Slabaugh, G.G., Alonso, E. & Al-Arif, M. R. (2017). Deep Learning for Single-Molecule Science. Nanotechnology, doi: 10.1088/1361-6528/aa8334

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

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

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

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G.G. (2017). Conditional Regressive Random Forest Stereo-based Hand Depth Recovery. Paper presented at the International Conference on Computer Vision Workshop on Observing and Understanding Hands in Action, 23 Oct 2017, Venice, Italy.

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

Riaz, A., Asad, M., Al-Arid, S. M. M. R., Alonso, E., Dima, D., Corr, P. J. & Slabaugh, G.G. (2017). FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI. Paper presented at the 1st International Workshop on Connectomics in NeuroImaging (CNI), 14 Sep 2017, Quebec City, Canada.

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 Fri Oct 20 06:37:14 2017 UTC.