Daniel Coca

According to our database1, Daniel Coca authored at least 44 papers between 2000 and 2019.

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Bibliography

2019
Robust Recovery of Missing Data in Electricity Distribution Systems.
IEEE Trans. Smart Grid, 2019

Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability.
Front. Neuroinform., 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

Recovery of Missing Data in Correlated Smart Grid Datasets.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data.
Neural Computation, 2018

Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density Functions.
J. Nonlinear Science, 2018

Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Front. Neuroinform., 2018

2016
Recovering missing data via matrix completion in electricity distribution systems.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Statistical Texture-Based Mapping of Cell Differentiation Under Microfluidic Flow.
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.
Systems & Control Letters, 2015

A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons.
Neural Computation, 2015

Implementation of linear filters in the spike domain.
Proceedings of the European Control Conference, 2015

2014
A parametric frequency response method for non-linear time-varying systems.
Int. J. Systems Science, 2014

A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky Reaction.
I. J. Bifurcation and Chaos, 2014

2013
A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions.
Systems & Control Letters, 2013

Model term selection for spatio-temporal system identification using mutual information.
Int. J. Systems Science, 2013

A new approach to solving the inverse Frobenius-Perron problem.
Proceedings of the European Control Conference, 2013

2012
Characterizing nonlinear Spatio-Temporal Systems in the Frequency Domain.
I. J. Bifurcation and Chaos, 2012

2011
Bayesian identification of stochastic linear systems with observations at multiple scales.
Int. J. Systems Science, 2011

Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model.
I. J. Bifurcation and Chaos, 2011

Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction.
I. J. Bifurcation and Chaos, 2011

A Simple Scalar Coupled Map Lattice Model for Excitable Media.
I. J. Bifurcation and 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

Identification of Excitable Media Using a Scalar Coupled Map Lattice Model.
I. J. Bifurcation and 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. Engineering, 2009

Peptide Mass Fingerprinting Using Field-Programmable Gate Arrays.
IEEE Trans. Biomed. Circuits and Systems, 2009

Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis.
Int. J. Systems Science, 2009

Cellular automata modelling of dendritic crystal growth based on Moore and von Neumann neighbourhoods.
IJMIC, 2009

Consistent recursive parameter estimation of partial differential equation models.
Int. J. Control, 2009

Identification of the Transition Rule in a Modified Cellular Automata Model: the Case of Dendritic Nh4br Crystal Growth.
I. J. Bifurcation and Chaos, 2009

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages.
Bioinformatics, 2009

Modelling Stem Cells Lineages with Markov Trees.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Biophysical Modeling of a Drosophila Photoreceptor.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model.
I. J. Bifurcation and Chaos, 2008

High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprinting.
Bioinformatics, 2008

2007
Hardware acceleration of processing of mass spectrometric data for proteomics.
Bioinformatics, 2007

2002
Identification of coupled map lattice models of deterministic distributed parameter systems.
Int. J. Systems Science, 2002

Identification of finite dimensional models of infinite dimensional dynamical systems.
Automatica, 2002

2000
Direct parameter identification of distributed parameter systems.
Int. J. Systems Science, 2000

Nonlinear System Identification and Analysis of Complex Dynamical Behavior in reflected Light Measurements of vasomotion.
I. J. Bifurcation and Chaos, 2000


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