Daniel Coca

发表

Review of results and perspectives of nonlinear process identification from experimental data

Daniel Coca, 2003 .

Statistical Texture-Based Mapping of Cell Differentiation Under Microfluidic Flow

Daniel Coca, Veronica Biga, Olívia M. Alves Coelho, 2016, CIBB.

Nonlinear system identification of receptive fields from spiking neuron data

Daniel Coca, Dorian Florescu, 2015, BMC Neuroscience.

FPGA Implementation of Database Search Engine for Protein Identification by Peptide Fragment Fingerprinting

Daniel Coca, Istvan Bogdan, Robert J. Beynon, 2010 .

Solving the inverse Frobenius-Perron problem using stationary densities of dynamical systems with input perturbations

Daniel Coca, Jingjing Luo, Mark Birkin, 2020, Commun. Nonlinear Sci. Numer. Simul..

Modelling Stem Cells Lineages with Markov Trees

Visakan Kadirkamanathan, Stephen A. Billings, Daniel Coca, 2009, PRIB.

A matrix-based approach to solving the inverse Frobenius–Perron problem using sequences of density functions of stochastically perturbed dynamical systems

Daniel Coca, Xiaokai Nie, 2018, Commun. Nonlinear Sci. Numer. Simul..

Robust Recovery of Missing Data in Electricity Distribution Systems

Luis F. Ochoa, Daniel Coca, Samir Medina Perlaza, 2019, IEEE Transactions on Smart Grid.

Recovery of Missing Data in Correlated Smart Grid Datasets

Daniel Coca, Inaki Esnaola, Cristian Genes, 2019, 2019 IEEE Data Science Workshop (DSW).

Nonlinear System Identification and Analysis of Complex Dynamical Behavior in reflected Light Measurements of vasomotion

Stephen A. Billings, John E. W. Mayhew, Ying Zheng, 2000, Int. J. Bifurc. Chaos.

HyperPRAW: Architecture-Aware Hypergraph Restreaming Partition to Improve Performance of Parallel Applications Running on High Performance Computing Systems

Daniel Coca, Paul Richmond, Carlos Fernandez Musoles, 2019, ICPP.

Biophysical Modeling of a Drosophila Photoreceptor

Stephen A. Billings, Roger C. Hardie, Daniel Coca, 2009, ICONIP.

NARMAX based nonlinear predictive control

Daniel Coca, Lianjun Bai, D. Coca, 2007, 2007 European Control Conference (ECC).

Hardware acceleration of processing of mass spectrometric data for proteomics

Daniel Coca, Robert J. Beynon, István A. Bogdán, 2007, Bioinform..

Recovering missing data via matrix completion in electricity distribution systems

Luis F. Ochoa, Daniel Coca, Samir Medina Perlaza, 2016, 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Structuring an integrated air quality monitoring network in large urban areas – Discussing the purpose, criteria and deployment strategy

Daniel Coca, Martin Mayfield, Said Munir, 2019, Atmospheric Environment: X.

Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2011, Int. J. Bifurc. Chaos.

Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner: Concept Design

Daniel Coca, Martin Mayfield, Danielle Densley Tingley, 2019, DATA@SenSys.

Reproducibility of parameters of postocclusive reactive hyperemia measured by diffuse optical tomography

Daniel Coca, Ernesto E Vidal-Rosas, Stephen A Billings, 2016, Journal of biomedical optics.

Characterizing nonlinear Spatio-Temporal Systems in the Frequency Domain

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2012, Int. J. Bifurc. Chaos.

A High-Performance Reconfigurable Computing Solution for Peptide Mass Fingerprinting

Daniel Coca, Robert J. Beynon, István A. Bogdán, 2010, Proteome Bioinformatics.

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages

Visakan Kadirkamanathan, Stephen A. Billings, Daniel Coca, 2009, Bioinform..

Parallel FPGA Search Engine for Protein Identification

Daniel Coca, Istvan Bogdan, Robert J. Beynon, 2010 .

FPGA supercomputing solution for Peptide Mass Fingerprinting

Daniel Coca, Istvan Bogdan, Robert J. Beynon, 2008 .

A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons

Daniel Coca, Dorian Florescu, 2015, Neural Computation.

Peptide Mass Fingerprinting Using Field-Programmable Gate Arrays

Daniel Coca, Robert J. Beynon, István A. Bogdán, 2009, IEEE Transactions on Biomedical Circuits and Systems.

Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach

Stephen A. Billings, Yi Pan, John E. W. Mayhew, 2009, IEEE Transactions on Biomedical Engineering.

Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2015, Syst. Control. Lett..

Bayesian identification of stochastic linear systems with observations at multiple scales

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2011, Int. J. Syst. Sci..

Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2008, Int. J. Bifurc. Chaos.

A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2013, Syst. Control. Lett..

An empirical model of Drosophila Photoreceptor-LMC network

Daniel Coca, Carlos Luna, 2015, BMC Neuroscience.

Direct parameter identification of distributed parameter systems

Stephen A. Billings, Daniel Coca, S. Billings, 2000, Int. J. Syst. Sci..

Model term selection for spatio-temporal system identification using mutual information

Shu Wang, Stephen A. Billings, Daniel Coca, 2013, Int. J. Syst. Sci..

Code Generation in Computational Neuroscience: A Review of Tools and Techniques

Bernhard Rumpe, Alexander Peyser, Michael L. Hines, 2018, Front. Neuroinform..

Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography

Stephen A. Billings, Ying Zheng, Daniel Coca, 2014, Journal of Biomedical Optics.

A novel recovery algorithm of time encoded signals

Daniel Coca, Dorian Florescu, 2013, BMC Neuroscience.

A Simple Scalar Coupled Map Lattice Model for Excitable Media

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2011, Int. J. Bifurc. Chaos.

A parametric frequency response method for non-linear time-varying systems

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2014, Int. J. Syst. Sci..

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Consistent recursive parameter estimation of partial differential equation models

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2009, Int. J. Control.

A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky Reaction

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2014, Int. J. Bifurc. Chaos.

A new approach to solving the inverse Frobenius-Perron problem

Daniel Coca, Xiaokai Nie, D. Coca, 2013, 2013 European Control Conference (ECC).

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

Daniel Coca, Robert J. Beynon, István A. Bogdán, 2008, Bioinform..

Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines

Daniel Coca, Dorian Florescu, Dorian Florescu, 2018, Neural Computation.

Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2011, Int. J. Bifurc. Chaos.

NeuroNLP: a natural language portal for aggregated fruit fly brain data

Chung-Chuan Lo, Daniel Coca, Aurel A. Lazar, 2016 .

Identification of Excitable Media Using a Scalar Coupled Map Lattice Model

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2010, Int. J. Bifurc. Chaos.

The Fruit Fly Brain Observatory: From Structure to Function

Chung-Chuan Lo, Daniel Coca, Aurel A. Lazar, 2016, bioRxiv.

Reverse Engineering Gain Adaptation in Sensory Systems

Stephen A. Billings, Daniel Coca, Mikko Juusola, 2012, BioMed 2012.

Non-linear system identification using wavelet multiresolution models

Daniel Coca, S. A. Billings, S. Billings, 2001 .

Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2009, Int. J. Syst. Sci..

Analysing Systems Interdependencies Using a Digital Twin

Jennifer Whyte, Daniel Coca, Nilay Shah, 2019 .

Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density Functions

Jing Chen, Daniel Coca, Jingjing Luo, 2018, Journal of Nonlinear Science.

Identification of finite dimensional models of infinite dimensional dynamical systems

Stephen A. Billings, Daniel Coca, S. Billings, 2002, Autom..

Oil spill segmentation in fused Synthetic Aperture Radar images

Lyudmila Mihaylova, Daniel Coca, Fodio S Longman, 2016, 2016 4th International Conference on Control Engineering & Information Technology (CEIT).

Identification of coupled map lattice models of deterministic distributed parameter systems

Stephen A. Billings, Daniel Coca, S. Billings, 2002, Int. J. Syst. Sci..

Cellular automata modelling of dendritic crystal growth based on Moore and von Neumann neighbourhoods

Stephen A. Billings, Daniel Coca, Yifan Zhao, 2009, Int. J. Model. Identif. Control..

Implementation of linear filters in the spike domain

Daniel Coca, Dorian Florescu, 2015, 2015 European Control Conference (ECC).

A dynamic model of neurovascular coupling: Implications for blood vessel dilation and constriction

Stephen A. Billings, Yi Pan, John E. W. Mayhew, 2010, NeuroImage.

Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors

Stephen A. Billings, Daniel Coca, Mikko Juusola, 2009, ICONIP.

Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability

Daniel Coca, Paul Richmond, Carlos Fernandez Musoles, 2019, Front. Neuroinform..

Identification of the Transition Rule in a Modified Cellular Automata Model: the Case of Dendritic Nh4br Crystal Growth

Stephen A. Billings, Daniel Coca, Yifan Zhao, 2009, Int. J. Bifurc. Chaos.

Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2010, Int. J. Control.

Information-Theoretic Active Contour Model for Microscopy Image Segmentation Using Texture

Daniel Coca, Veronica Biga, D. Coca, 2016, CIBB.

Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data

Daniel Coca, Dorian Florescu, Dorian Florescu, 2018, Neural Computation.

FPGA Coprocessing Solution for Real‐Time Protein Identification Using Tandem Mass Spectrometry

Daniel Coca, Istvan Bogdan, Robert J. Beynon, 2012 .

Optimisation on the least squares identification of dynamical systems with application to hemodynamic modelling

Ying Zheng, Daniel Coca, David Johnston, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach

Lyudmila Mihaylova, Daniel Coca, Martin Mayfield, 2021, Signal Process..

We now know what fly photoreceptors compute

Daniel Coca, Mikko Juusola, Stephen A Billings, 2013, BMC Neuroscience.

Time-Lapse Analysis of Human Embryonic Stem Cells Reveals Multiple Bottlenecks Restricting Colony Formation and Their Relief upon Culture Adaptation

Daniel Coca, Veronica Biga, Paul J. Gokhale, 2014, Stem cell reports.

IDENTIFICATION OF FINITE-DIMENSIONAL MODELS FOR DISTRIBUTED-PARAMETER SYSTEMS

Stephen A. Billings, Daniel Coca, S. Billings, 2002 .

Analysing the performance of low-cost air quality sensors, their drivers, relative benefits and calibration in cities—a case study in Sheffield

Daniel Coca, Martin Mayfield, Said Munir, 2019, Environmental Monitoring and Assessment.

Time-Domain Identification of Nonlinear Processes in Space Plasma Turbulence Using Multi-Point Measurements

Daniel Coca, S. A. Billings, Michael A. Balikhin, 1999 .

Time domain analysis of plasma turbulence observed upstream of a quasi‐parallel shock

Daniel Coca, S. A. Billings, Michael A. Balikhin, 2001 .

System Identification Using Wavelets

Stephen A. Billings, Daniel Coca, S. Billings, 2011 .

Reconstruction of one-dimensional chaotic maps from sequences of probability density functions

Daniel Coca, Xiaokai Nie, D. Coca, 2015 .

Continuous-Time System Identification for Linear and Nonlinear Systems Using Wavelet Decompositions

Daniel Coca, Steve A. Billings, S. Billings, 1997 .

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Stochastic, Adaptive Sampling of Information by Microvilli in Fly Photoreceptors

Stephen A. Billings, Marten Postma, Roger C. Hardie, 2012, Current Biology.

A DIRECT APPROACH TO IDENTIFICATION OF NONLINEAR DIFFERENTIAL MODELS FROM DISCRETE DATA

Daniel Coca, Steve A. Billings, S. Billings, 1999 .

Data derived continuous time model for the Dst dynamics

Daniel Coca, S. A. Billings, Michael A. Balikhin, 2006 .

Identification of coupled map lattice models of complex spatio-temporal patterns

Stephen A. Billings, Daniel Coca, S. Billings, 2001 .

Data based quest for solar wind‐magnetosphere coupling function

Daniel Coca, S. A. Billings, Michael A. Balikhin, 2010 .

Ecological network analysis on intra-city metabolism of functional urban areas in England and Wales

Daniel Coca, Martin Mayfield, Hadi Arbabi, 2018, Resources, Conservation and Recycling.

FINITE ELEMENT GALERKIN MODELS AND IDENTIFIED FINITE ELEMENT MODELS - A COMPARATIVE STUDY.

Stephen A. Billings, Daniel Coca, 2002 .

Analysis of immune cell function using in vivo cell shape analysis and tracking

Visakan Kadirkamanathan, Stephen A. Billings, Constantino Carlos Reyes-Aldasoro, 2009 .