Daniel Coca
Orcid: 0000-0003-2878-2422
According to our database1,
Daniel Coca
authored at least 50 papers
between 2000 and 2024.
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Bibliography
2024
Proceedings of the IEEE International Conference on Automation, 2024
2021
A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach.
Signal Process., 2021
2020
Solving the inverse Frobenius-Perron problem using stationary densities of dynamical systems with input perturbations.
Commun. Nonlinear Sci. Numer. Simul., 2020
2019
IEEE Trans. Smart Grid, 2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines.
Neural Comput., 2019
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability.
Frontiers Neuroinformatics, 2019
Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner: Concept Design.
Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 2019
HyperPRAW: Architecture-Aware Hypergraph Restreaming Partition to Improve Performance of Parallel Applications Running on High Performance Computing Systems.
Proceedings of the 48th International Conference on Parallel Processing, 2019
Proceedings of the IEEE Data Science Workshop, 2019
2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data.
Neural Comput., 2018
Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density Functions.
J. Nonlinear Sci., 2018
Frontiers Neuroinformatics, 2018
A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systems.
Commun. Nonlinear Sci. Numer. Simul., 2018
2016
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
Information-Theoretic Active Contour Model for Microscopy Image Segmentation Using Texture.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
2015
Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion.
Syst. Control. Lett., 2015
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons.
Neural Comput., 2015
Proceedings of the 14th European Control Conference, 2015
2014
Int. J. Syst. Sci., 2014
Int. J. Bifurc. Chaos, 2014
2013
A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions.
Syst. Control. Lett., 2013
Model term selection for spatio-temporal system identification using mutual information.
Int. J. Syst. Sci., 2013
Proceedings of the 12th European Control Conference, 2013
2012
Int. J. Bifurc. Chaos, 2012
2011
Bayesian identification of stochastic linear systems with observations at multiple scales.
Int. J. Syst. Sci., 2011
Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model.
Int. J. Bifurc. Chaos, 2011
Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction.
Int. J. Bifurc. Chaos, 2011
Int. J. Bifurc. Chaos, 2011
2010
A dynamic model of neurovascular coupling: Implications for blood vessel dilation and constriction.
NeuroImage, 2010
Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems.
Int. J. Control, 2010
Int. J. Bifurc. Chaos, 2010
A High-Performance Reconfigurable Computing Solution for Peptide Mass Fingerprinting.
Proceedings of the Proteome Bioinformatics, 2010
2009
Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach.
IEEE Trans. Biomed. Eng., 2009
IEEE Trans. Biomed. Circuits Syst., 2009
Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis.
Int. J. Syst. Sci., 2009
Cellular automata modelling of dendritic crystal growth based on Moore and von Neumann neighbourhoods.
Int. J. Model. Identif. Control., 2009
Int. J. Control, 2009
Identification of the Transition Rule in a Modified Cellular Automata Model: the Case of Dendritic Nh<sub>4</sub>br Crystal Growth.
Int. J. Bifurc. Chaos, 2009
Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages.
Bioinform., 2009
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model.
Int. J. Bifurc. Chaos, 2008
High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprinting.
Bioinform., 2008
2007
Bioinform., 2007
2002
Identification of coupled map lattice models of deterministic distributed parameter systems.
Int. J. Syst. Sci., 2002
Identification of finite dimensional models of infinite dimensional dynamical systems.
Autom., 2002
2000
Int. J. Syst. Sci., 2000
Nonlinear System Identification and Analysis of Complex Dynamical Behavior in reflected Light Measurements of vasomotion.
Int. J. Bifurc. Chaos, 2000