Daniel Coca

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 20

Top Topics

Density Function

Distribution Systems

Finite Dimensional

Top Venues

Frontiers Neuroinformatics

Commun. Nonlinear Sci. Numer. Simul.

Publications

Codrin Alexandru Lupascu, Daniel Coca, Octavian C. Pastravanu
A Novel Architecture - Switching Echo State Networks. AQTR (2024)
Peng Wang, Lyudmila Mihaylova, Said Munir, Rohit Chakraborty, Jikai Wang, Martin Mayfield, Khan Alam, Muhammad Fahim Khokhar, Daniel Coca
A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Process. 183 (2021)
Xiaokai Nie, Daniel Coca, Jingjing Luo, Mark Birkin
Solving the inverse Frobenius-Perron problem using stationary densities of dynamical systems with input perturbations. Commun. Nonlinear Sci. Numer. Simul. 90 (2020)
Cristian Genes, Iñaki Esnaola, Samir M. Perlaza, Luis F. Ochoa, Daniel Coca
Robust Recovery of Missing Data in Electricity Distribution Systems. IEEE Trans. Smart Grid 10 (4) (2019)
Carlos Fernandez Musoles, Daniel Coca, Paul Richmond
HyperPRAW: Architecture-Aware Hypergraph Restreaming Partition to Improve Performance of Parallel Applications Running on High Performance Computing Systems. ICPP (2019)
Gregory Meyers, Chengxi Zhu, Martin Mayfield, Danielle Densley Tingley, Jon Raffe Willmott, Daniel Coca
Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner: Concept Design. DATA@SenSys (2019)
Carlos Fernandez Musoles, Daniel Coca, Paul Richmond
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability. Frontiers Neuroinformatics 13 (2019)
Cristian Genes, Iñaki Esnaola, Samir M. Perlaza, Daniel Coca
Recovery of Missing Data in Correlated Smart Grid Datasets. DSW (2019)
Dorian Florescu, Daniel Coca
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines. Neural Comput. 31 (9) (2019)
Xiaokai Nie, Daniel Coca
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. 54 (2018)
Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler
Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Frontiers Neuroinformatics 12 (2018)
Xiaokai Nie, Jingjing Luo, Daniel Coca, Mark Birkin, Jing Chen
Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density Functions. J. Nonlinear Sci. 28 (4) (2018)
Dorian Florescu, Daniel Coca
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data. Neural Comput. 30 (3) (2018)
Cristian Genes, Iñaki Esnaola, Samir Medina Perlaza, Luis F. Ochoa, Daniel Coca
Robust Recovery of Missing Data in Electricity Distribution Systems. CoRR (2017)
Veronica Biga, Daniel Coca
Information-Theoretic Active Contour Model for Microscopy Image Segmentation Using Texture. CIBB (2016)
Cristian Genes, Inaki Esnaola, Samir Medina Perlaza, Luis F. Ochoa, Daniel Coca
Recovering missing data via matrix completion in electricity distribution systems. SPAWC (2016)
Veronica Biga, Olívia M. Alves Coelho, Paul J. Gokhale, James E. Mason, Eduardo M. A. M. Mendes, Peter W. Andrews, Daniel Coca
Statistical Texture-Based Mapping of Cell Differentiation Under Microfluidic Flow. CIBB (2016)
Lingzhong Guo, Yuzhu Guo, Stephen A. Billings, Daniel Coca
Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. Syst. Control. Lett. 75 (2015)
Dorian Florescu, Daniel Coca
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons. Neural Comput. 27 (9) (2015)
Dorian Florescu, Daniel Coca
Implementation of linear filters in the spike domain. ECC (2015)
Lingzhong Guo, Yuzhu Guo, Yifan Zhao, Stephen A. Billings, Daniel Coca, Zhi Qiang Lang
A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky Reaction. Int. J. Bifurc. Chaos 24 (3) (2014)
Yuzhu Guo, Lingzhong Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang
A parametric frequency response method for non-linear time-varying systems. Int. J. Syst. Sci. 45 (10) (2014)
Xiaokai Nie, Daniel Coca
A new approach to solving the inverse Frobenius-Perron problem. ECC (2013)
Lingzhong Guo, Yuzhu Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang
A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. Syst. Control. Lett. 62 (2) (2013)
Shu Wang, Hua-Liang Wei, Daniel Coca, Stephen A. Billings
Model term selection for spatio-temporal system identification using mutual information. Int. J. Syst. Sci. 44 (2) (2013)
Yuzhu Guo, Lingzhong Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang
Characterizing nonlinear Spatio-Temporal Systems in the Frequency Domain. Int. J. Bifurc. Chaos 22 (2) (2012)
Yifan Zhao, Stephen A. Billings, Yuzhu Guo, Daniel Coca, L. Dematos, R. I. Ristic
Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model. Int. J. Bifurc. Chaos 21 (2) (2011)
Yuzhu Guo, Yifan Zhao, Daniel Coca, S. A. Billings
A Simple Scalar Coupled Map Lattice Model for Excitable Media. Int. J. Bifurc. Chaos 21 (11) (2011)
Lingzhong Guo, S. A. Billings, Daniel Coca, Michael A. Balikhin
Bayesian identification of stochastic linear systems with observations at multiple scales. Int. J. Syst. Sci. 42 (8) (2011)
Yifan Zhao, Stephen A. Billings, Daniel Coca, Yuzhu Guo, R. I. Ristic, L. Dematos
Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction. Int. J. Bifurc. Chaos 21 (11) (2011)
Yuzhu Guo, Yifan Zhao, S. A. Billings, Daniel Coca, R. I. Ristic, L. Dematos
Identification of Excitable Media Using a Scalar Coupled Map Lattice Model. Int. J. Bifurc. Chaos 20 (7) (2010)
Ying Zheng, Yi Pan, Samuel Harris, Stephen A. Billings, Daniel Coca, Jason Berwick, Myles Jones, Aneurin J. Kennerley, David Johnston, Chris J. Martin, Ian M. Devonshire, John E. W. Mayhew
A dynamic model of neurovascular coupling: Implications for blood vessel dilation and constriction. NeuroImage 52 (3) (2010)
Lingzhong Guo, Stephen A. Billings, Daniel Coca
Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems. Int. J. Control 83 (1) (2010)
Lingzhong Guo, Stephen A. Billings, Daniel Coca
Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis. Int. J. Syst. Sci. 40 (11) (2009)
Victor Olariu, Daniel Coca, Stephen A. Billings, Peter Tonge, Paul Gokhale, Peter W. Andrews, Visakan Kadirkamanathan
Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages. Bioinform. 25 (21) (2009)
Yifan Zhao, Stephen A. Billings, Daniel Coca
Cellular automata modelling of dendritic crystal growth based on Moore and von Neumann neighbourhoods. Int. J. Model. Identif. Control. 6 (2) (2009)
Hua-Liang Wei, Ying Zheng, Yi Pan, Daniel Coca, Liang-Min Li, John E. W. Mayhew, Stephen A. Billings
Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach. IEEE Trans. Biomed. Eng. 56 (6) (2009)
Yifan Zhao, Stephen A. Billings, Daniel Coca, R. I. Ristic, L. Dematos
br Crystal Growth. Int. J. Bifurc. Chaos 19 (7) (2009)
Zhuoyi Song, Daniel Coca, Stephen A. Billings, Marten Postma, Roger C. Hardie, Mikko Juusola
Photoreceptor. ICONIP (1) (2009)
Uwe Friederich, Daniel Coca, Stephen A. Billings, Mikko Juusola
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors. ICONIP (1) (2009)
Victor Olariu, Daniel Coca, Stephen A. Billings, Visakan Kadirkamanathan
Modelling Stem Cells Lineages with Markov Trees. PRIB (2009)
Lingzhong Guo, Stephen A. Billings, Daniel Coca
Consistent recursive parameter estimation of partial differential equation models. Int. J. Control 82 (10) (2009)
István A. Bogdán, Daniel Coca, Robert J. Beynon
Peptide Mass Fingerprinting Using Field-Programmable Gate Arrays. IEEE Trans. Biomed. Circuits Syst. 3 (3) (2009)
István A. Bogdán, Jenny Rivers, Robert J. Beynon, Daniel Coca
High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprinting. Bioinform. 24 (13) (2008)
Yuzhu Guo, Stephen A. Billings, Daniel Coca
Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model. Int. J. Bifurc. Chaos 18 (7) (2008)
István A. Bogdán, Daniel Coca, Jenny Rivers, Robert J. Beynon
Hardware acceleration of processing of mass spectrometric data for proteomics. Bioinform. 23 (6) (2007)
Daniel Coca, Stephen A. Billings
Identification of finite dimensional models of infinite dimensional dynamical systems. Autom. 38 (11) (2002)
S. A. Billings, Daniel Coca
Identification of coupled map lattice models of deterministic distributed parameter systems. Int. J. Syst. Sci. 33 (8) (2002)
Daniel Coca, Ying Zheng, John E. W. Mayhew, Stephen A. Billings
Nonlinear System Identification and Analysis of Complex Dynamical Behavior in reflected Light Measurements of vasomotion. Int. J. Bifurc. Chaos 10 (2) (2000)
Daniel Coca, Stephen A. Billings
Direct parameter identification of distributed parameter systems. Int. J. Syst. Sci. 31 (1) (2000)