City Research Online

Items where City Author is "Alonso, E."

Up a level
Export as [feed] RSS 2.0 [feed] RSS
Group by: Publication Type | No Grouping
Number of items: 57.

Article

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

Guimera Busquets, J., Alonso, E. and 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

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

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

Mondragon, E., Alonso, E. and 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. and 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

Riaz, A., Asad, M., Al-Arid, S. M. M. R., Alonso, E., Dima, D., Corr, P. J. and Slabaugh, G.G. (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

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

Fu, X., Li, S., Fairbank, M., Wunsch, D. C. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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: Frankish, K. and Ramsey, W. (Eds.), The Cambridge Handbook of Artificial Intelligence. (pp. 232-246). UK: Cambridge University Press. ISBN 9781139046855

Fairbank, M., Prokhorov, D. and Alonso, E. (2013). Approximating Optimal Control with Value Gradient Learning. In: Lewis, F. and Liu, D. (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. and 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. and 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. and 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

Olliverre, N. J., Yang, G., Slabaugh, G.G., Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 and Alonso, E. (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. Lecture Notes in Computer Science (11037). (pp. 130-138). Cham, Switzerland: Spirnger. ISBN 978-3-030-00535-1

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

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 and Slabaugh, G.G. (2018). DeepFMRI: And End-to-End Deep Network for Classification of FRMI Data. Paper presented at the 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 4-7 Apr 2018, Washington, D. C..

Basaru, R. R., Child, C. H. T., Alonso, E. and 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. and 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.

Slabaugh, G.G., Child, C. H. T., Alonso, E. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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 Wed Sep 26 04:28:02 2018 UTC.