Eduardo Alonso

62 papers B 6C 2Misc 2Journal 27Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A representational framework for learning and encoding structurally enriched trajectories in complex agent environments. Neural Networks Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
2025	—	`conf`	Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles. DeLTA Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz
2024	Misc	`conf`	DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. SAC Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz
2024	J	`jnl`	Parallel Trajectory Training of Recurrent Neural Network Controllers With Levenberg-Marquardt and Forward Accumulation Through Time in Closed-Loop Control Systems. IEEE Trans. Sustain. Comput. Xingang Fu, Jordan Sturtz, Eduardo Alonso, Rajab Challoo, Letu Qingge
2023	—	`conf`	AIGenC: AI Generalisation via Creativity. EPIA (2) Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
2023	J	`jnl`	Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs. IEEE Trans. Neural Networks Learn. Syst. Xingang Fu, Shuhui Li, Donald C. Wunsch, Eduardo Alonso
2023	J	`jnl`	STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting. Neural Networks Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou
2021	J	`jnl`	Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures. Sensors Ananda Ananda, Kwun Ho Ngan, Cefa Karabag, Aram Ter-Sarkisov, Eduardo Alonso, Constantino Carlos Reyes-Aldasoro
2021	C	`conf`	Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. ArtsIT Aram Ter-Sarkisov, Eduardo Alonso
2021	J	`jnl`	Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. CoRR Aram Ter-Sarkisov, Eduardo Alonso
2021	C	`conf`	Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance. ICMLA Abdul Basit Hafeez, Eduardo Alonso, Aram Ter-Sarkisov
2020	J	`jnl`	Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Trans. Cybern. Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
2020	—	`conf`	Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator. CyberSA Konstantin Pozdniakov, Eduardo Alonso, Vladimir Stankovic, Kimberly Tam, Kevin D. Jones
2019	J	`jnl`	A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors Álvaro Carrera, Eduardo Alonso, Carlos Angel Iglesias
2018	J	`jnl`	Data-driven recovery of hand depth using CRRF on stereo images. IET Comput. Vis. Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Gregory G. Slabaugh
2018	—	`conf`	Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
2018	J	`jnl`	Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh
2018	J	`jnl`	Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. CoRR Nathan J. Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso
2018	—	`conf`	Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models. SASHIMI@MICCAI Nathan Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso
2017	J	`jnl`	A Rescorla-Wagner drift-diffusion model of conditioning and timing. PLoS Comput. Biol. André Luzardo, Eduardo Alonso, Esther Mondragón
2017	—	`conf`	Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
2017	—	`conf`	FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
2017	—	`conf`	Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
2016	—	`conf`	HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features. IWSSIP Rilwan Remilekun Basaru, Gregory G. Slabaugh, Christopher Child, Eduardo Alonso
2016	—	`conf`	Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR Atif Riaz, Eduardo Alonso, Greg G. Slabaugh
2015	—	`conf`	A Reward-driven Model of Darwinian Fitness. IJCCI (ECTA) Jan Teichmann, Eduardo Alonso, Mark Broom
2015	J	`jnl`	Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adapt. Behav. Eduardo Alonso, Michael Fairbank, Esther Mondragón
2015	—	`conf`	Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. IJCCI (NCTA) Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II
2015	J	`jnl`	Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Trans. Neural Networks Learn. Syst. Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
2014	J	`jnl`	An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks Michael Fairbank, Shuhui Li, Xingang Fu, Eduardo Alonso, Donald C. Wunsch II
2014	J	`jnl`	Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions. IEEE Trans. Neural Networks Learn. Syst. Shuhui Li, Michael Fairbank, Cameron Johnson, Donald C. Wunsch, Eduardo Alonso, Julio L. Proao
2014	J	`jnl`	Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso
2014	—	`conf`	Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. ICAART (1) Eduardo Alonso, Pavandeep Sahota, Esther Mondragón
2014	—	`conf`	Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
2014	—	`conf`	Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. ICAART (1) Eduardo Alonso, Esther Mondragón
2014	—	`conf`	Towards a Personalised Health System. HEALTHINF Peter Weller, Alberto Fernández Gil, Eduardo Alonso
2013	J	`jnl`	A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. Neuroinformatics Esther Mondragón, Jonathan Gray, Eduardo Alonso
2013	J	`jnl`	An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
2013	J	`jnl`	An extension of the Rescorla and Wagner Simulator for context conditioning. Comput. Methods Programs Biomed. Esther Mondragón, Eduardo Alonso, Alberto Fernández, Jonathan Gray
2013	B	`conf`	Emergent and Adaptive Systems of Systems. SMC Eduardo Alonso, Michael Fairbank
2013	B	`conf`	Nested-loop neural network vector control of permanent magnet synchronous motors. IJCNN Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso
2013	—	`conf`	Symmetries, groups, groupoids and systems of systems. SysCon Eduardo Alonso, Nicos Karcanias, Ali G. Hessami
2012	J	`jnl`	A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Comput. Methods Programs Biomed. Eduardo Alonso, Esther Mondragón, Alberto Fernández
2012	B	`conf`	A comparison of learning speed and ability to cope without exploration between DHP and TD(0). IJCNN Michael Fairbank, Eduardo Alonso
2012	J	`jnl`	Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. Neural Comput. Michael Fairbank, Eduardo Alonso
2012	J	`jnl`	Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
2012	B	`conf`	The divergence of reinforcement learning algorithms with value-iteration and function approximation. IJCNN Michael Fairbank, Eduardo Alonso
2012	B	`conf`	Value-gradient learning. IJCNN Michael Fairbank, Eduardo Alonso
2012	B	`conf`	Vector control of a grid-connected rectifier/inverter using an artificial neural network. IJCNN Shuhui Li, Donald C. Wunsch, Michael Fairbank, Eduardo Alonso
2005	—	`conf`	A Semantic and Pragmatic Framework for the Specification of Agent Communication Languages: Motivational Attitudes and Norms. AOIS Rodrigo Agerri, Eduardo Alonso
2005	—	`conf`	Coordination Efficiency in Rational Choice Theory, Norm and Rights Based Multi-agent Systems. AOIS Peter Kristoffersson, Eduardo Alonso
2005	—	`conf`	Experimental Comparison of Rational Choice Theory, Norm and Rights Based Multi Agent Systems. ER (Workshops) Peter Kristoffersson, Eduardo Alonso
2005	Misc	`conf`	Semantics and Pragmatics for Agent Communication. EPIA Rodrigo Agerri, Eduardo Alonso
2004	J	`jnl`	Multiagent service architectures for bus fleet management. Integr. Comput. Aided Eng. Alberto Fernández, Sascha Ossowski, Eduardo Alonso
2004	J	`jnl`	Rights and Argumentation in Open Multi-Agent Systems. Artif. Intell. Rev. Eduardo Alonso
2003	—	`conf`	Agency, Learning and Animal-Based Reinforcement Learning. Agents and Computational Autonomy Eduardo Alonso, Esther Mondragón
2002	—	`conf`	Rights for Multi-agent Systems. Foundations and Applications of Multi-Agent Systems Eduardo Alonso
2001	J	`jnl`	Learning in multi-agent systems. Knowl. Eng. Rev. Eduardo Alonso, Mark d'Inverno, Daniel Kudenko, Michael Luck, Jason Noble
2000	—	`conf`	Machine Learning for Logic-Based Multi-agent Systems. FAABS Eduardo Alonso, Daniel Kudenko
1999	J	`jnl`	An individualistic approach to social action in multi-agent systems. J. Exp. Theor. Artif. Intell. Eduardo Alonso
1998	—	`conf`	Groups and Societies: One and the Same Thing? IBERAMIA Eduardo Alonso
1998	—	`conf`	How Individuals Negotiate Societies. ICMAS Eduardo Alonso