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Eduardo Alonso
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2020 – today
- 2024
- [j32]Xingang Fu
, Jordan Sturtz
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
DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. SAC 2024: 927-934 - [i13]Johann Bauer
Mutation-Bias Learning in Games. CoRR abs/2405.18190 (2024) - 2023
- [j31]Azad Deihim
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting. Neural Networks 168: 549-559 (2023) - [j30]Xingang Fu
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
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
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
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
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
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
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
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
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
A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors 19(15): 3408 (2019) - 2018
- [j26]Atif Riaz, Muhammad Asad, Eduardo Alonso
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65: 115-128 (2018) - [j25]Rilwan Remilekun Basaru, Chris Child
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
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
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
A Rescorla-Wagner drift-diffusion model of conditioning and timing. PLoS Comput. Biol. 13(11) (2017) - [c33]Rilwan Remilekun Basaru, Chris Child
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops 2017: 595-603 - [c32]Rilwan Remilekun Basaru, Chris Child
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
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI 2017: 70-78 - 2016
- [c30]Atif Riaz, Eduardo Alonso
Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR 2016: 217-225 - [c29]Rilwan Remilekun Basaru, Gregory G. Slabaugh
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features. IWSSIP 2016: 1-4 - 2015
- [j23]Eduardo Alonso
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
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
Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks. IJCCI (NCTA) 2015: 58-69 - [c27]Jan Teichmann, Eduardo Alonso
A Reward-driven Model of Darwinian Fitness. IJCCI (ECTA) 2015: 174-179 - [c26]Eduardo Alonso
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
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
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
Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1909-1920 (2014) - [c25]Rilwan Remilekun Basaru, Chris Child
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
Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. ICAART (1) 2014: 544-547 - [c22]Eduardo Alonso
Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. ICAART (1) 2014: 548-551 - 2013
- [j17]Esther Mondragón
An extension of the Rescorla and Wagner Simulator for context conditioning. Comput. Methods Programs Biomed. 110(2): 226-230 (2013) - [j16]Esther Mondragón
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
Visible Light Communication System Using an Organic Bulk Heterojunction Photodetector. Sensors 13(9): 12266-12276 (2013) - [j14]Michael Fairbank, Eduardo Alonso
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
Nested-loop neural network vector control of permanent magnet synchronous motors. IJCNN 2013: 1-8 - [c18]Eduardo Alonso
Emergent and Adaptive Systems of Systems. SMC 2013: 1721-1725 - [c17]Eduardo Alonso
Symmetries, groups, groupoids and systems of systems. SysCon 2013: 244-250 - 2012
- [j13]Eduardo Alonso
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
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
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
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
Semantics and Pragmatics for Agent Communication. EPIA 2005: 524-535 - [c7]Rodrigo Agerri
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
Multiagent service architectures for bus fleet management. Integr. Comput. Aided Eng. 11(2): 101-115 (2004) - 2003
- [c5]Eduardo Alonso
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
Learning in multi-agent systems. Knowl. Eng. Rev. 16(3): 277-284 (2001) - 2000
- [c3]Eduardo Alonso
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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last updated on 2024-10-09 20:30 CEST by the dblp team
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