Pedro J. Zufiria

Orcid: 0000-0002-1217-1216

According to our database1, Pedro J. Zufiria authored at least 45 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Multi-objective machine training based on Bayesian hyperparameter tuning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Mean Field Behavior of Collaborative Multiagent Foragers.
IEEE Trans. Robotics, 2022

Bus Headways Analysis for Anomaly Detection.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Mean Field Behaviour of Collaborative Multi-Agent Foragers.
CoRR, 2021

Port-Hamiltonian Modeling of Thermofluid Systems and Object-Oriented Implementation With Modelica I: Thermodynamic Part.
IEEE Access, 2021

2020
Port-Hamiltonian Modeling of Multiphysics Systems and Object-Oriented Implementation With the Modelica Language.
IEEE Access, 2020

2019
A New Technique Based on Voronoi Tessellation to Assess the Space-Dependence of Categorical Variables.
Entropy, 2019

Mobility profiles and calendars for food security and livelihoods analysis.
CoRR, 2019

On the minimum number of general or dedicated controllers required for system controllability.
Appl. Math. Comput., 2019

2018
Analysis of Basic Features in Dynamic Network Models.
Entropy, 2018

Floods impact dynamics quantified from big data sources.
CoRR, 2018

2017
Generalized Lexicographic MultiObjective Combinatorial Optimization. Application to Cryptography.
SIAM J. Optim., 2017

Entropy Characterization of Random Network Models.
Entropy, 2017

2016
Algorithm 959: VBF: A Library of C++ Classes for Vector Boolean Functions in Cryptography.
ACM Trans. Math. Softw., 2016

Peer to Peer Energy Trading with Electric Vehicles.
IEEE Intell. Transp. Syst. Mag., 2016

2015
The anatomy of urban social networks and its implications in the searchability problem.
CoRR, 2015

Evolution models for dynamic networks.
Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015

2013
The elliptic model for social fluxes.
CoRR, 2013

Fault isolation schemes for a class of continuous-time stochastic dynamical systems.
Annu. Rev. Control., 2013

2012
A mathematical framework for new fault detection schemes in nonlinear stochastic continuous-time dynamical systems.
Appl. Math. Comput., 2012

Prediction of Telephone User Attributes Based on Network Neighborhood Information.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

2011
Generating Scale-free Networks with Adjustable Clustering Coefficient Via Random Walks
CoRR, 2011

2010
A C++ Class for Analysing Vector Boolean Functions from a Cryptographic Perspective.
Proceedings of the SECRYPT 2010, 2010

2009
Fault Detection Schemes for Continuous-Time Stochastic Dynamical Systems.
IEEE Trans. Autom. Control., 2009

Diagnosis of unknown parametric faults in non-linear stochastic dynamical systems.
Int. J. Control, 2009

A formulation for fault detection in stochastic continuous-time dynamical systems.
Int. J. Comput. Math., 2009

Estimating the Embedding Dimension Distribution of Time Series with SOMOS.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007
Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms.
Neurocomputing, 2007

Dynamic behavior of DCT and DDT formulations for the Sanger neural network.
Neurocomputing, 2007

Analysis of Hebbian Models with Lateral Weight Connections.
Proceedings of the Computational and Ambient Intelligence, 2007

2005
Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Analysis of the Sanger Hebbian Neural Network.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004
Generalized neural networks for spectral analysis: dynamics and Liapunov functions.
Neural Networks, 2004

2002
On the discrete-time dynamics of the basic Hebbian neural network node.
IEEE Trans. Neural Networks, 2002

On the role of singularities in Branin's method from dynamic and continuation perspectives.
Appl. Math. Comput., 2002

EM-Based Radial Basis Function Training with Partial Information.
Proceedings of the Artificial Neural Networks, 2002

Time-Scaling in Recurrent Neural Learning.
Proceedings of the Artificial Neural Networks, 2002

2001
Recurrent Neural Supervised Models for Generating Solar Radiation Synthetic Series.
J. Intell. Robotic Syst., 2001

Satellite data processing for meteorological nowcasting and very short range forecasting using neural networks.
Intell. Data Anal., 2001

Algorithms and Implementation Architectures for Hebbian Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

1999
A Neural Network Approach for Generating Solar Irradiation Artificial Series.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Influence of the Learning Gain on the Dynamics of Oja's Neural Network.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

Rates of Learning in Gradient and Genetic Training of Recurrent Neural Networks.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

1997
Video Sequence Compression via Supervised Training on Cellular Neural Networks.
Int. J. Neural Syst., 1997

1995
Comparative analysis of some neural network architectures for data fusion.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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