Daniel Coca - researchr alias

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Viewing Publication 1 - 49 from 49

2021

A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approachPeng Wang 0076, Lyudmila Mihaylova, Said Munir, Rohit Chakraborty, Jikai Wang, Martin Mayfield, Khan Alam, Muhammad Fahim Khokhar, Daniel Coca. sigpro, 183:108034, 2021. [doi]

2020

Solving the inverse Frobenius-Perron problem using stationary densities of dynamical systems with input perturbationsXiaokai Nie, Daniel Coca, Jingjing Luo, Mark Birkin. cnsns, 90:105302, 2020. [doi]

2019

Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State MachinesDorian Florescu, Daniel Coca. neco, 31(9):1825-1852, 2019. [doi]

Recovery of Missing Data in Correlated Smart Grid DatasetsCristian Genes, Iñaki Esnaola, Samir Medina Perlaza, Daniel Coca. dsw 2019: 263-269 [doi]

Robust Recovery of Missing Data in Electricity Distribution SystemsCristian Genes, Iñaki Esnaola, Samir Medina Perlaza, Luis F. Ochoa, Daniel Coca. tsg, 10(4):4057-4067, 2019. [doi]

Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner: Concept DesignGregory Meyers, Chengxi Zhu, Martin Mayfield, Danielle Densley Tingley, Jon Willmott, Daniel Coca. sensys 2019: 16-21 [doi]

HyperPRAW: Architecture-Aware Hypergraph Restreaming Partition to Improve Performance of Parallel Applications Running on High Performance Computing SystemsCarlos Fernandez Musoles, Daniel Coca, Paul Richmond. icpp 2019: [doi]

Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve ScalabilityCarlos Fernandez Musoles, Daniel Coca, Paul Richmond. fini, 2019:19, 2019. [doi]

2018

Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron DataDorian Florescu, Daniel Coca. neco, 30(3), 2018. [doi]

A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systemsXiaokai Nie, Daniel Coca. cnsns, 54:248-266, 2018. [doi]

Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density FunctionsXiaokai Nie, Jingjing Luo, Daniel Coca, Mark Birkin, Jing Chen. jns, 28(4):1467-1487, 2018. [doi]

2016

2015

Implementation of linear filters in the spike domainDorian Florescu, Daniel Coca. eucc 2015: 2298-2302 [doi]

A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire NeuronsDorian Florescu, Daniel Coca. neco, 27(9):1872-1898, 2015. [doi]

Approximate observability of infinite dimensional bilinear systems using a Volterra series expansionL. Z. Guo, Y. Z. Guo, Stephen A. Billings, Daniel Coca. scl, 75:20-26, 2015. [doi]

2014

A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky ReactionLingzhong Guo, Yuzhu Guo, Yifan Zhao, Stephen A. Billings, Daniel Coca, Zhiqiang Lang. IJBC, 24(3), 2014. [doi]

A parametric frequency response method for non-linear time-varying systemsYuzhu Guo, L. Z. Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang. ijsysc, 45(10):2133-2144, 2014. [doi]

2013

2012

Characterizing nonlinear Spatio-Temporal Systems in the Frequency DomainYuzhu Guo, L. Z. Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang. IJBC, 22(2), 2012. [doi]

2011

2010

A High-Performance Reconfigurable Computing Solution for Peptide Mass FingerprintingDaniel Coca, István A. Bogdán, Robert J. Beynon. In Simon J. Hubbard, Andrew R. Jones, editors, Proteome Bioinformatics. pages 163-185, Springer, 2010. [doi]

Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systemsLingzhong Guo, Stephen A. Billings, Daniel Coca. ijcon, 83(1):40-48, 2010. [doi]

Identification of Excitable Media Using a Scalar Coupled Map Lattice ModelYuzhu Guo, Yifan Zhao, S. A. Billings, Daniel Coca, R. I. Ristic, L. Dematos. IJBC, 20(7):2137-2150, 2010. [doi]

A dynamic model of neurovascular coupling: Implications for blood vessel dilation and constrictionYing Zheng, Yi Pan 0002, Samuel Harris, Stephen A. Billings, Daniel Coca, Jason Berwick, Myles Jones, Aneurin J. Kennerley, David Johnston, Chris Martin, Ian M. Devonshire, John E. W. Mayhew. neuroimage, 52(3):1135-1147, 2010. [doi]

2009

Peptide Mass Fingerprinting Using Field-Programmable Gate ArraysIstván A. Bogdán, Daniel Coca, Robert J. Beynon. tbcas, 3(3):142-149, 2009. [doi]

Data Modelling for Analysis of Adaptive Changes in Fly PhotoreceptorsUwe Friederich, Daniel Coca, Stephen A. Billings, Mikko Juusola. iconip 2009: 34-48 [doi]

Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysisL. Z. Guo, Stephen A. Billings, Daniel Coca. ijsysc, 40(11):1115-1126, 2009. [doi]

Consistent recursive parameter estimation of partial differential equation modelsLingzhong Guo, Stephen A. Billings, Daniel Coca. ijcon, 82(10):1946-1954, 2009. [doi]

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineagesVictor Olariu, Daniel Coca, Stephen A. Billings, Peter Tonge, Paul Gokhale, Peter W. Andrews, Visakan Kadirkamanathan. bioinformatics, 25(21):2824-2830, 2009. [doi]

Modelling Stem Cells Lineages with Markov TreesVictor Olariu, Daniel Coca, Stephen A. Billings, Visakan Kadirkamanathan. prib 2009: 233-243 [doi]

Biophysical Modeling of a ::::Drosophila:::: PhotoreceptorZhuoyi Song, Daniel Coca, Stephen A. Billings, Marten Postma, Roger C. Hardie, Mikko Juusola. iconip 2009: 57-71 [doi]

Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling ApproachHua-Liang Wei, Ying Zheng, Yi Pan 0002, Daniel Coca, Liang-Min Li, John E. W. Mayhew, Stephen A. Billings. tbe, 56(6):1606-1616, 2009. [doi]

Cellular automata modelling of dendritic crystal growth based on Moore and von Neumann neighbourhoodsYifan Zhao, Stephen A. Billings, Daniel Coca. ijmic, 6(2):119-125, 2009. [doi]

Identification of the Transition Rule in a Modified Cellular Automata Model: the Case of Dendritic Nh::4::br Crystal GrowthYifan Zhao, Stephen A. Billings, Daniel Coca, R. I. Ristic, L. Dematos. IJBC, 19(7):2295-2305, 2009. [doi]

2008

High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprintingIstván A. Bogdán, Jenny Rivers, Robert J. Beynon, Daniel Coca. bioinformatics, 24(13):1498-1502, 2008. [doi]

Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial ModelYuzhu Guo, Stephen A. Billings, Daniel Coca. IJBC, 18(7):2049-2057, 2008. [doi]

2007

Hardware acceleration of processing of mass spectrometric data for proteomicsIstván A. Bogdán, Daniel Coca, Jenny Rivers, Robert J. Beynon. bioinformatics, 23(6):724-731, 2007. [doi]

2002

Identification of coupled map lattice models of deterministic distributed parameter systemsS. A. Billings, Daniel Coca. ijsysc, 33(8):623-634, 2002. [doi]

Identification of finite dimensional models of infinite dimensional dynamical systemsDaniel Coca, Stephen A. Billings. automatica, 38(11):1851-1865, 2002. [doi]

2000

Direct parameter identification of distributed parameter systemsDaniel Coca, Stephen A. Billings. ijsysc, 31(1):11-17, 2000. [doi]

Nonlinear System Identification and Analysis of Complex Dynamical Behavior in reflected Light Measurements of vasomotionDaniel Coca, Ying Zheng, John E. W. Mayhew, Stephen A. Billings. IJBC, 10(2):461-476, 2000. [doi]

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