Eduardo Alonso
Orcid: 0000-0001-8470-3210
According to our database1,
Eduardo Alonso
authored at least 86 papers
between 1997 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
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., 2024
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting.
Neural Networks, November, 2023
Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
Proceedings of the Progress in Artificial Intelligence, 2023
Classification Challenges and Analysis of Traffic Patterns for Highly Congested Areas in Central Texas.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022
2021
Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures.
Sensors, 2021
Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the Twelfth International Conference on Computational Creativity, 2021
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks.
Proceedings of the ArtsIT, Interactivity and Game Creation, 2021
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results.
IEEE Trans. Cybern., 2020
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control.
CoRR, 2020
CoRR, 2020
Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator.
Proceedings of the 2020 International Conference on Cyber Situational Awareness, 2020
2019
A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks.
Sensors, 2019
2018
IET Comput. Vis., 2018
Comput. Medical Imaging Graph., 2018
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
PLoS Comput. Biol., 2017
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.
IEEE Trans. Neural Networks Learn. Syst., 2015
Back to optimality: a formal framework to express the dynamics of learning optimal behavior.
Adapt. Behav., 2015
Performance evaluation of AMR simultaneous polling strategies in a PRIME PLC network.
Proceedings of the IEEE International Symposium on Power Line Communications and Its Applications, 2015
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
2014
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., 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances.
Neural Networks, 2014
What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning.
Int. J. Artif. Life Res., 2014
Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison.
Proceedings of the ICAART 2014, 2014
Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning.
Proceedings of the ICAART 2014, 2014
Proceedings of the 2nd International Conference on 3D Vision, 2014
2013
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time.
IEEE Trans. Neural Networks Learn. Syst., 2013
Visible Light Communication System Using an Organic Bulk Heterojunction Photodetector.
Sensors, 2013
A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation.
Neuroinformatics, 2013
Comput. Methods Programs Biomed., 2013
Proceedings of the IEEE International Systems Conference, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems.
Proceedings of the ICAART 2013, 2013
Right-based Coordination for Environments with Changing Complexity - Results in Traffic Simulation.
Proceedings of the ICAART 2013, 2013
2012
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012
Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks.
Neural Comput., 2012
A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions.
Comput. Methods Programs Biomed., 2012
Vector control of a grid-connected rectifier/inverter using an artificial neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
The divergence of reinforcement learning algorithms with value-iteration and function approximation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
A comparison of learning speed and ability to cope without exploration between DHP and TD(0).
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Internally Driven Q-learning - Convergence and Generalization Results.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012
2011
The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning
CoRR, 2011
2008
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008
2007
2005
AI Mag., 2005
Experimental Comparison of Rational Choice Theory, Norm and Rights Based Multi Agent Systems.
Proceedings of the Perspectives in Conceptual Modeling, 2005
Proceedings of the Perspectives in Conceptual Modeling, 2005
Proceedings of the Progress in Artificial Intelligence, 2005
Coordination Efficiency in Rational Choice Theory, Norm and Rights Based Multi-agent Systems.
Proceedings of the Agent-Oriented Information Systems III, 2005
A Semantic and Pragmatic Framework for the Specification of Agent Communication Languages: Motivational Attitudes and Norms.
Proceedings of the Agent-Oriented Information Systems III, 2005
2004
Integr. Comput. Aided Eng., 2004
2003
Proceedings of the Agents and Computational Autonomy - Potential, Risks, and Solutions - Postproceedings of the 1st International Workshop on Computational Autonomy, 2003
2002
Proceedings of the Foundations and Applications of Multi-Agent Systems, 2002
2001
Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos.
Inteligencia Artif., 2001
2000
Proceedings of the Formal Approaches to Agent-Based Systems, First International Workshop, 2000
1999
J. Exp. Theor. Artif. Intell., 1999
Inteligencia Artif., 1999
1998
Proceedings of the Third International Conference on Multiagent Systems, 1998
Proceedings of the Progress in Artificial Intelligence, 1998
1997
Inteligencia Artif., 1997