Eduardo Alonso

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 40

Top Topics

Computational Models

Qualitative Evaluation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Xingang Fu, Jordan Sturtz, Eduardo Alonso, Rajab Challoo, Letu Qingge
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. 9 (2) (2024)
Aaron Mir, Eduardo Alonso, Esther Mondragón
DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers. ICAART (3) (2024)
Johann Bauer, Sheldon West, Eduardo Alonso, Mark Broom
Mutation-Bias Learning in Games. CoRR (2024)
Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz
DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. SAC (2024)
Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting. Neural Networks 168 (2023)
Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
AIGenC: AI Generalisation via Creativity. EPIA (2) (2023)
Aaron Mir, Eduardo Alonso, Esther Mondragón
DiT-Head: High-Resolution Talking Head Synthesis using Diffusion Transformers. CoRR (2023)
Alexander Dean, Eduardo Alonso, Esther Mondragón
Algebras of actions in an agent's representations of the world. CoRR (2023)
Alex Clay, Eduardo Alonso, Esther Mondragón
Cognitively Inspired Components for Social Conversational Agents. CoRR (2023)
Jordi Torres, Eduardo Alonso, Nekane Larburu
Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case. AIME (2023)
Xingang Fu, Shuhui Li, Donald C. Wunsch, Eduardo Alonso
Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Daniel Alonso, Eduardo Alonso, Damian Valles
Classification Challenges and Analysis of Traffic Patterns for Highly Congested Areas in Central Texas. CCWC (2023)
Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
AIGenC: AI generalisation via creativity. CoRR (2022)
Eduardo Alonso, Teresa Garcia-Navarro, Nekane Larburu
Visualization System for the Impact of Context Open Data in Clinical Settings. ICIMTH (2022)
Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. ICMLA (2022)
Aitor Zubillaga, Paula Laccourreye, Jon Kerexeta, Nekane Larburu, Eduardo Alonso, D. Jesús Gómez, Francisco Martínez, Maykel Alonso-Arce
Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes. ICIMTH (2022)
Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso
Efficient entity-based reinforcement learning. CoRR (2022)
Aram Ter-Sarkisov, Eduardo Alonso
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. CoRR (2021)
Aram Ter-Sarkisov, Eduardo Alonso
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. ArtsIT (2021)
Ananda Ananda, Kwun Ho Ngan, Cefa Karabag, Aram Ter-Sarkisov, Eduardo Alonso, Constantino Carlos Reyes-Aldasoro
Classification and Visualisation of Normal and Abnormal Radiographs; A Comparison between Eleven Convolutional Neural Network Architectures. Sensors 21 (16) (2021)
Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). AAAI (2021)
Danielle Lewis, Andrea Zugarini, Eduardo Alonso
Syllable Neural Language Models for English Poem Generation. ICCC (2021)
Abdul Basit Hafeez, Eduardo Alonso, Aram Ter-Sarkisov
Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance. ICMLA (2021)
Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control. CoRR (2020)
Konstantin Pozdniakov, Eduardo Alonso, Vladimir Stankovic, Kimberly Tam, Kevin D. Jones
Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator. CyberSA (2020)
Fatemeh Najibi, Dimitra Apostolopoulou, Eduardo Alonso
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast. CoRR (2020)
Shuhui Li, Hoyun Won, Xingang Fu, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Trans. Cybern. 50 (7) (2020)
Álvaro Carrera, Eduardo Alonso, Carlos Angel Iglesias
A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors 19 (15) (2019)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Gregory G. Slabaugh
Data-driven recovery of hand depth using CRRF on stereo images. IET Comput. Vis. 12 (5) (2018)
Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65 (2018)
Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI (2018)
Nathan J. Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. CoRR (2018)
Nathan Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models. SASHIMI@MICCAI (2018)
Artur S. d'Avila Garcez, Aimore Resende Riquetti Dutra, Eduardo Alonso
Towards Symbolic Reinforcement Learning with Common Sense. CoRR (2018)
Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI (2017)
André Luzardo, Eduardo Alonso, Esther Mondragón
A Rescorla-Wagner drift-diffusion model of conditioning and timing. PLoS Comput. Biol. 13 (11) (2017)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops (2017)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops (2017)
Rilwan Remilekun Basaru, Gregory G. Slabaugh, Christopher Child, Eduardo Alonso
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features. IWSSIP (2016)
Atif Riaz, Eduardo Alonso, Greg G. Slabaugh
Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR (2016)
Jan Teichmann, Eduardo Alonso, Mark Broom
A Reward-driven Model of Darwinian Fitness. IJCCI (ECTA) (2015)
Eduardo Alonso, Javier Matanza, Carlos Rodríguez-Morcillo, Sadot Alexandres
Performance evaluation of AMR simultaneous polling strategies in a PRIME PLC network. ISPLC (2015)
Eduardo Alonso, Michael Fairbank, Esther Mondragón
Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adapt. Behav. 23 (4) (2015)
Shuhui Li, Xingang Fu, Ishan Jaithwa, Eduardo Alonso, Michael Fairbank, Donald C. Wunsch II
Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. IJCCI (NCTA) (2015)
Xingang Fu, Shuhui Li, Michael Fairbank, Donald C. Wunsch, Eduardo Alonso
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Eduardo Alonso, Esther Mondragón
What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. Int. J. Artif. Life Res. 4 (1) (2014)
Peter Weller, Alberto Fernández Gil, Eduardo Alonso
Towards a Personalised Health System. HEALTHINF (2014)
Shuhui Li, Michael Fairbank, Cameron Johnson, Donald C. Wunsch, Eduardo Alonso, Julio L. Proao
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. 25 (4) (2014)
Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso
Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh
Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) (2014)
Eduardo Alonso, Esther Mondragón
Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. ICAART (1) (2014)
Eduardo Alonso, Pavandeep Sahota, Esther Mondragón
Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. ICAART (1) (2014)
Michael Fairbank, Shuhui Li, Xingang Fu, Eduardo Alonso, Donald C. Wunsch II
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks 49 (2014)
Eduardo Alonso, Michael Fairbank
Emergent and Adaptive Systems of Systems. SMC (2013)
Eduardo Alonso, Peter Kristofersson-Izmajlow
Right-based Coordination for Environments with Changing Complexity - Results in Traffic Simulation. ICAART (1) (2013)
Eduardo Alonso, Nicos Karcanias, Ali G. Hessami
Symmetries, groups, groupoids and systems of systems. SysCon (2013)
Esther Mondragón, Eduardo Alonso, Alberto Fernández, Jonathan Gray
An extension of the Rescorla and Wagner Simulator for context conditioning. Comput. Methods Programs Biomed. 110 (2) (2013)
Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time. IEEE Trans. Neural Networks Learn. Syst. 24 (12) (2013)
Esther Mondragón, Jonathan Gray, Eduardo Alonso
A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. Neuroinformatics 11 (2) (2013)
Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso
Nested-loop neural network vector control of permanent magnet synchronous motors. IJCNN (2013)
Belén Arredondo, Beatriz Romero, José M. Sánchez Peña, Agustín Fernández-Pacheco, Eduardo Alonso, Ricardo Vergaz, Cristina de Dios
Visible Light Communication System Using an Organic Bulk Heterojunction Photodetector. Sensors 13 (9) (2013)
Eduardo Alonso, Esther Mondragón
Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems. ICAART (1) (2013)
Michael Fairbank, Eduardo Alonso
Value-gradient learning. IJCNN (2012)
Shuhui Li, Donald C. Wunsch, Michael Fairbank, Eduardo Alonso
Vector control of a grid-connected rectifier/inverter using an artificial neural network. IJCNN (2012)
Eduardo Alonso, Esther Mondragón, Alberto Fernández
A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Comput. Methods Programs Biomed. 108 (1) (2012)
Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23 (10) (2012)
Eduardo Alonso, Esther Mondragón, Niclas Kjäll-Ohlsson
Internally Driven Q-learning - Convergence and Generalization Results. ICAART (1) (2012)
Michael Fairbank, Eduardo Alonso
The divergence of reinforcement learning algorithms with value-iteration and function approximation. IJCNN (2012)
Michael Fairbank, Eduardo Alonso
A comparison of learning speed and ability to cope without exploration between DHP and TD(0). IJCNN (2012)
Michael Fairbank, Eduardo Alonso
Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. Neural Comput. 24 (3) (2012)
Michael Fairbank, Eduardo Alonso
The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning CoRR (2011)
Michael Fairbank, Eduardo Alonso
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation CoRR (2011)
Paulo Villegas, Eduard Bru, Blanca Mayayo, Lola Carpio, Eduardo Alonso, Víctor José Ruiz
Visual scene classification for image and video home content. CBMI (2008)
Eduardo Alonso
Multi-agent learning. Auton. Agents Multi Agent Syst. 15 (1) (2007)
Rodrigo Agerri, Eduardo Alonso
Normative Pragmatics for Agent Communication Languages. ER (Workshops) (2005)
Rodrigo Agerri, Eduardo Alonso
Semantics and Pragmatics for Agent Communication. EPIA (2005)
Peter Kristoffersson, Eduardo Alonso
Experimental Comparison of Rational Choice Theory, Norm and Rights Based Multi Agent Systems. ER (Workshops) (2005)
Diego Mollá Aliod, Eduardo Alonso, Srinivas Bangalore, Joseph E. Beck, Bir Bhanu, Jim Blythe, Mark S. Boddy, Amedeo Cesta, Marko Grobelnik, Dilek Hakkani-Tür, Sanda M. Harabagiu, Alain Léger, Deborah L. McGuinness, Stacy Marsella, Natasa Milic-Frayling, Dunja Mladenic, Daniel Oblinger, Paul E. Rybski, Pavel Shvaiko, Stephen F. Smith, Biplav Srivastava, Sheila Tejada, Hannes Högni Vilhjálmsson, Kristinn R. Thórisson, Gökhan Tür, José Luis Vicedo González, Holger Wache
The Workshops at the Twentieth National Conference on Artificial Intelligence. AI Mag. 26 (4) (2005)
Rodrigo Agerri, Eduardo Alonso
A Semantic and Pragmatic Framework for the Specification of Agent Communication Languages: Motivational Attitudes and Norms. AOIS (2005)
Peter Kristoffersson, Eduardo Alonso
Coordination Efficiency in Rational Choice Theory, Norm and Rights Based Multi-agent Systems. AOIS (2005)
Alberto Fernández, Sascha Ossowski, Eduardo Alonso
Multiagent service architectures for bus fleet management. Integr. Comput. Aided Eng. 11 (2) (2004)
Eduardo Alonso
Rights and Argumentation in Open Multi-Agent Systems. Artif. Intell. Rev. 21 (1) (2004)
Eduardo Alonso, Esther Mondragón
Agency, Learning and Animal-Based Reinforcement Learning. Agents and Computational Autonomy (2003)
Eduardo Alonso
Rights for Multi-agent Systems. Foundations and Applications of Multi-Agent Systems (2002)
Eduardo Alonso
AI and Agents: State of the Art. AI Mag. 23 (3) (2002)
Eduardo Alonso, Mark d'Inverno, Daniel Kudenko, Michael Luck, Jason Noble
Learning in multi-agent systems. Knowl. Eng. Rev. 16 (3) (2001)
Eduardo Alonso, Daniel Kudenko
Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos. Inteligencia Artif. 5 (13) (2001)
Eduardo Alonso, Daniel Kudenko
Machine Learning for Logic-Based Multi-agent Systems. FAABS (2000)
Eduardo Alonso
An individualistic approach to social action in multi-agent systems. J. Exp. Theor. Artif. Intell. 11 (4) (1999)
Eduardo Alonso
Derechos, coordinacion y accion social en dominios multi-agentes. Inteligencia Artif. 3 (7) (1999)
Eduardo Alonso
Groups and Societies: One and the Same Thing? IBERAMIA (1998)
Eduardo Alonso
How Individuals Negotiate Societies. ICMAS (1998)
Eduardo Alonso
A formal framework for the representation of negociation protocols. Inteligencia Artif. 1 (3) (1997)