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ORCIDEduardo Alonso
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j32]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): 222-229 (2024)- [c49]Aaron Mir, Eduardo Alonso, Esther Mondragón:
DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers. ICAART (3) 2024: 159-169 - [c48]Laura Valeria Perez-Herrera, Aurora Sucre, Xabier Calle Sanchez, María Jesús García-González, Guillermo de Celis, Alba Garín-Muga, Maria dM Vivanco, Eduardo Alonso, Karen López-Linares:
AI-Driven Integration of Histological and Genomic Data for Understanding Breast Cancer Survival. ISBI 2024: 1-5 - [c47]Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz:
DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. SAC 2024: 927-934 - [i13]Johann Bauer, Sheldon West, Eduardo Alonso, Mark Broom:
Mutation-Bias Learning in Games. CoRR abs/2405.18190 (2024) - 2023
- [j31]Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou:
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting. Neural Networks 168: 549-559 (2023) - [j30]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): 3751-3763 (2023) - [c46]Jordi Torres, Eduardo Alonso, Nekane Larburu:
Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case. AIME 2023: 357-361 - [c45]Daniel Alonso, Eduardo Alonso, Damian Valles:
Classification Challenges and Analysis of Traffic Patterns for Highly Congested Areas in Central Texas. CCWC 2023: 382-388 - [c44]Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso:
AIGenC: AI Generalisation via Creativity. EPIA (2) 2023: 38-51 - [i12]Alexander Dean, Eduardo Alonso, Esther Mondragón:
Algebras of actions in an agent's representations of the world. CoRR abs/2310.01536 (2023) - [i11]Alex Clay, Eduardo Alonso, Esther Mondragón:
Cognitively Inspired Components for Social Conversational Agents. CoRR abs/2311.05450 (2023) - [i10]Aaron Mir, Eduardo Alonso, Esther Mondragón:
DiT-Head: High-Resolution Talking Head Synthesis using Diffusion Transformers. CoRR abs/2312.06400 (2023) - 2022
- [c43]Eduardo Alonso, Teresa Garcia-Navarro, Nekane Larburu:
Visualization System for the Impact of Context Open Data in Clinical Settings. ICIMTH 2022: 128-131 - [c42]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: 339-342 - [c41]Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz:
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. ICMLA 2022: 519-524 - [i9]Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso:
AIGenC: AI generalisation via creativity. CoRR abs/2205.09738 (2022) - [i8]Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso:
Efficient entity-based reinforcement learning. CoRR abs/2206.02855 (2022) - 2021
- [j29]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): 5381 (2021) - [c40]Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso:
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). AAAI 2021: 15803-15804 - [c39]Aram Ter-Sarkisov, Eduardo Alonso:
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. ArtsIT 2021: 442-456 - [c38]Danielle Lewis, Andrea Zugarini, Eduardo Alonso:
Syllable Neural Language Models for English Poem Generation. ICCC 2021: 350-356 - [c37]Abdul Basit Hafeez, Eduardo Alonso, Aram Ter-Sarkisov:
Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance. ICMLA 2021: 1016-1021 - [i7]Aram Ter-Sarkisov, Eduardo Alonso:
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. CoRR abs/2109.12628 (2021) - 2020
- [j28]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): 3218-3230 (2020) - [c36]Konstantin Pozdniakov, Eduardo Alonso, Vladimir Stankovic, Kimberly Tam, Kevin D. Jones:
Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator. CyberSA 2020: 1-8 - [i6]Fatemeh Najibi, Dimitra Apostolopoulou, Eduardo Alonso:
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast. CoRR abs/2002.10878 (2020) - [i5]Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso:
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control. CoRR abs/2010.06293 (2020)
2010 – 2019
- 2019
- [j27]Álvaro Carrera, Eduardo Alonso, Carlos Angel Iglesias:
A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors 19(15): 3408 (2019) - 2018
- [j26]Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh:
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65: 115-128 (2018) - [j25]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): 666-678 (2018) - [c35]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: 1419-1422 - [c34]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: 130-138 - [i4]Artur S. d'Avila Garcez, Aimore Resende Riquetti Dutra, Eduardo Alonso:
Towards Symbolic Reinforcement Learning with Common Sense. CoRR abs/1804.08597 (2018) - [i3]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 abs/1808.07592 (2018) - 2017
- [j24]André Luzardo, Eduardo Alonso, Esther Mondragón:
A Rescorla-Wagner drift-diffusion model of conditioning and timing. PLoS Comput. Biol. 13(11) (2017) - [c33]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops 2017: 595-603 - [c32]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops 2017: 614-622 - [c31]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: 70-78 - 2016
- [c30]Atif Riaz, Eduardo Alonso, Greg G. Slabaugh:
Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR 2016: 217-225 - [c29]Rilwan Remilekun Basaru, Gregory G. Slabaugh, Christopher Child, Eduardo Alonso:
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features. IWSSIP 2016: 1-4 - 2015
- [j23]Eduardo Alonso, Michael Fairbank, Esther Mondragón:
Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adapt. Behav. 23(4): 206-215 (2015) - [j22]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): 1900-1912 (2015) - [c28]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: 58-69 - [c27]Jan Teichmann, Eduardo Alonso, Mark Broom:
A Reward-driven Model of Darwinian Fitness. IJCCI (ECTA) 2015: 174-179 - [c26]Eduardo Alonso, Javier Matanza, Carlos Rodríguez-Morcillo, Sadot Alexandres:
Performance evaluation of AMR simultaneous polling strategies in a PRIME PLC network. ISPLC 2015: 101-106 - 2014
- [j21]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): 1-12 (2014) - [j20]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: 74-86 (2014) - [j19]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): 738-750 (2014) - [j18]Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso:
Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1909-1920 (2014) - [c25]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) 2014: 22-29 - [c24]Peter Weller, Alberto Fernández Gil, Eduardo Alonso:
Towards a Personalised Health System. HEALTHINF 2014: 256-261 - [c23]Eduardo Alonso, Pavandeep Sahota, Esther Mondragón:
Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. ICAART (1) 2014: 544-547 - [c22]Eduardo Alonso, Esther Mondragón:
Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. ICAART (1) 2014: 548-551 - 2013
- [j17]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): 226-230 (2013) - [j16]Esther Mondragón, Jonathan Gray, Eduardo Alonso:
A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. Neuroinformatics 11(2): 259-261 (2013) - [j15]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): 12266-12276 (2013) - [j14]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): 2088-2100 (2013) - [c21]Eduardo Alonso, Esther Mondragón:
Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems. ICAART (1) 2013: 141-146 - [c20]Eduardo Alonso, Peter Kristofersson-Izmajlow:
Right-based Coordination for Environments with Changing Complexity - Results in Traffic Simulation. ICAART (1) 2013: 333-336 - [c19]Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Eduardo Alonso:
Nested-loop neural network vector control of permanent magnet synchronous motors. IJCNN 2013: 1-8 - [c18]Eduardo Alonso, Michael Fairbank:
Emergent and Adaptive Systems of Systems. SMC 2013: 1721-1725 - [c17]Eduardo Alonso, Nicos Karcanias, Ali G. Hessami:
Symmetries, groups, groupoids and systems of systems. SysCon 2013: 244-250 - 2012
- [j13]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): 346-355 (2012) - [j12]Michael Fairbank, Eduardo Alonso:
Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. Neural Comput. 24(3): 607-610 (2012) - [j11]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): 1671-1676 (2012) - [c16]Eduardo Alonso, Esther Mondragón, Niclas Kjäll-Ohlsson:
Internally Driven Q-learning - Convergence and Generalization Results. ICAART (1) 2012: 491-494 - [c15]Michael Fairbank, Eduardo Alonso:
A comparison of learning speed and ability to cope without exploration between DHP and TD(0). IJCNN 2012: 1-8 - [c14]Michael Fairbank, Eduardo Alonso:
Value-gradient learning. IJCNN 2012: 1-8 - [c13]Michael Fairbank, Eduardo Alonso:
The divergence of reinforcement learning algorithms with value-iteration and function approximation. IJCNN 2012: 1-8 - [c12]Shuhui Li, Donald C. Wunsch, Michael Fairbank, Eduardo Alonso:
Vector control of a grid-connected rectifier/inverter using an artificial neural network. IJCNN 2012: 1-7 - 2011
- [i2]Michael Fairbank, Eduardo Alonso:
The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning. CoRR abs/1101.0428 (2011) - [i1]Michael Fairbank, Eduardo Alonso:
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation. CoRR abs/1107.4606 (2011)
2000 – 2009
- 2008
- [c11]Paulo Villegas, Eduard Bru, Blanca Mayayo, Lola Carpio, Eduardo Alonso, Víctor José Ruiz:
Visual scene classification for image and video home content. CBMI 2008: 77-84 - 2007
- [j10]Eduardo Alonso:
Multi-agent learning. Auton. Agents Multi Agent Syst. 15(1): 3-4 (2007) - 2005
- [j9]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): 102-108 (2005) - [c10]Rodrigo Agerri, Eduardo Alonso:
A Semantic and Pragmatic Framework for the Specification of Agent Communication Languages: Motivational Attitudes and Norms. AOIS 2005: 16-31 - [c9]Peter Kristoffersson, Eduardo Alonso:
Coordination Efficiency in Rational Choice Theory, Norm and Rights Based Multi-agent Systems. AOIS 2005: 231-242 - [c8]Rodrigo Agerri, Eduardo Alonso:
Semantics and Pragmatics for Agent Communication. EPIA 2005: 524-535 - [c7]Rodrigo Agerri, Eduardo Alonso:
Normative Pragmatics for Agent Communication Languages. ER (Workshops) 2005: 172-181 - [c6]Peter Kristoffersson, Eduardo Alonso:
Experimental Comparison of Rational Choice Theory, Norm and Rights Based Multi Agent Systems. ER (Workshops) 2005: 182-191 - [e2]Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso:
Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning. Lecture Notes in Computer Science 3394, Springer 2005, ISBN 3-540-25260-6 [contents] - 2004
- [j8]Eduardo Alonso:
Rights and Argumentation in Open Multi-Agent Systems. Artif. Intell. Rev. 21(1): 3-24 (2004) - [j7]Alberto Fernández, Sascha Ossowski, Eduardo Alonso:
Multiagent service architectures for bus fleet management. Integr. Comput. Aided Eng. 11(2): 101-115 (2004) - 2003
- [c5]Eduardo Alonso, Esther Mondragón:
Agency, Learning and Animal-Based Reinforcement Learning. Agents and Computational Autonomy 2003: 1-6 - [e1]Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov:
Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning. Lecture Notes in Computer Science 2636, Springer 2003, ISBN 3-540-40068-0 [contents] - 2002
- [j6]Eduardo Alonso:
AI and Agents: State of the Art. AI Mag. 23(3): 25-30 (2002) - [c4]Eduardo Alonso:
Rights for Multi-agent Systems. Foundations and Applications of Multi-Agent Systems 2002: 59-72 - 2001
- [j5]Eduardo Alonso, Daniel Kudenko:
Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos. Inteligencia Artif. 5(13): 85-93 (2001) - [j4]Eduardo Alonso, Mark d'Inverno, Daniel Kudenko, Michael Luck, Jason Noble:
Learning in multi-agent systems. Knowl. Eng. Rev. 16(3): 277-284 (2001) - 2000
- [c3]Eduardo Alonso, Daniel Kudenko:
Machine Learning for Logic-Based Multi-agent Systems. FAABS 2000: 306-307
1990 – 1999
- 1999
- [j3]Eduardo Alonso:
Derechos, coordinacion y accion social en dominios multi-agentes. Inteligencia Artif. 3(7): 3-12 (1999) - [j2]Eduardo Alonso:
An individualistic approach to social action in multi-agent systems. J. Exp. Theor. Artif. Intell. 11(4): 519-530 (1999) - 1998
- [c2]Eduardo Alonso:
Groups and Societies: One and the Same Thing? IBERAMIA 1998: 52-63 - [c1]Eduardo Alonso:
How Individuals Negotiate Societies. ICMAS 1998: 18-25 - 1997
- [j1]Eduardo Alonso:
A formal framework for the representation of negociation protocols. Inteligencia Artif. 1(3): 30-49 (1997)
Coauthor Index
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