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Visakan Kadirkamanathan
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- affiliation: University of Sheffield, Department of Automatic Control and Systems Engineering, UK
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Books and Theses
- 2013
- [b1]Andrew Zammit-Mangion
, Michael Dewar, Visakan Kadirkamanathan
, Anaid Flesken, Guido Sanguinetti
:
Modeling Conflict Dynamics with Spatio-temporal Data. Springer Briefs in Applied Sciences and Technology, Springer 2013, ISBN 978-3-319-01037-3, pp. I-VIII, 1-74
Journal Articles
- 2024
- [j74]William R. Jacobs
, Visakan Kadirkamanathan
, Sean R. Anderson
:
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification. IEEE Access 12: 11052-11065 (2024) - 2023
- [j73]Anastasia Kadochnikova
, Visakan Kadirkamanathan
:
Estimation of potential field environments from heterogeneous behaviour of sensing agents. IET Signal Process. 17(1) (2023) - [j72]Anastasia Kadochnikova
, Yunpeng Zhu
, Zi-Qiang Lang
, Visakan Kadirkamanathan
:
Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design. IEEE Trans. Control. Syst. Technol. 31(1): 394-401 (2023) - [j71]Fabio Luis de Mello
, J. Mark Wilkinson
, Visakan Kadirkamanathan
:
Metaparametric Neural Networks for Survival Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4047-4056 (2023) - 2022
- [j70]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
:
Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control. Autom. 139: 110187 (2022) - [j69]Romain Guicherd
, Paul A. Trodden
, Andrew R. Mills
, Visakan Kadirkamanathan
:
Supervised-distributed control with joint performance and communication optimisation. Int. J. Control 95(5): 1371-1382 (2022) - [j68]Mateo Leco
, Thomas McLeay, Visakan Kadirkamanathan
:
A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts. Robotics Comput. Integr. Manuf. 77: 102345 (2022) - 2021
- [j67]Romain Guicherd
, Andrew R. Mills
, Paul A. Trodden
, Visakan Kadirkamanathan
:
Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. IEEE Control. Syst. Lett. 5(4): 1393-1398 (2021) - [j66]Evgeny Zotov, Visakan Kadirkamanathan
:
CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin. Frontiers Artif. Intell. 4: 767451 (2021) - [j65]Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan
:
Conditional StyleGAN modelling and analysis for a machining digital twin. Integr. Comput. Aided Eng. 28(4): 399-415 (2021) - [j64]Xinxin Wang, Yurui Chang
, Zeshui Xu, Zidong Wang
, Visakan Kadirkamanathan
:
50 Years of international journal of systems science: a review of the past and trends for the future. Int. J. Syst. Sci. 52(8): 1515-1538 (2021) - [j63]Mateo Leco
, Visakan Kadirkamanathan
:
A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations. Robotics Comput. Integr. Manuf. 71: 102105 (2021) - [j62]Andrei-Constantin Braitor
, George C. Konstantopoulos
, Visakan Kadirkamanathan
:
Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids. IEEE Trans. Control. Syst. Technol. 29(1): 385-394 (2021) - 2020
- [j61]Moschos Papananias
, Thomas E. McLeay, Olusayo Obajemu, Mahdi Mahfouf, Visakan Kadirkamanathan
:
Inspection by exception: A new machine learning-based approach for multistage manufacturing. Appl. Soft Comput. 97(Part): 106787 (2020) - [j60]Evgeny Zotov, Andrew F. Hills
, Fabio L. de Mello, Parham Aram, Adrian Sayers, Ashley W. Blom
, Eugene V. McCloskey, J. Mark Wilkinson, Visakan Kadirkamanathan
:
JointCalc: A web-based personalised patient decision support tool for joint replacement. Int. J. Medical Informatics 142: 104217 (2020) - [j59]William Mycroft
, Mordechai Katzman
, Samuel Tammas-Williams
, Everth Hernandez-Nava
, George Panoutsos, Iain Todd
, Visakan Kadirkamanathan
:
A data-driven approach for predicting printability in metal additive manufacturing processes. J. Intell. Manuf. 31(7): 1769-1781 (2020) - [j58]Julian Mercieca
, Parham Aram
, Bryn Ll. Jones
, Visakan Kadirkamanathan
:
A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements. IEEE Trans. Control. Syst. Technol. 28(4): 1595-1602 (2020) - 2019
- [j57]Moschos Papananias
, Thomas E. McLeay
, Mahdi Mahfouf, Visakan Kadirkamanathan
:
A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing. Comput. Ind. 105: 35-47 (2019) - [j56]Shlomo Yaakov Gadelovits, Qing-Chang Zhong
, Visakan Kadirkamanathan
, Alon Kuperman
:
Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. 66(1): 459-469 (2019) - [j55]Shlomo Yaakov Gadelovits, Dauren Insepov, Visakan Kadirkamanathan
, Qing-Chang Zhong
, Alon Kuperman
:
Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. 66(11): 8947-8957 (2019) - 2018
- [j54]Anderson L. O. Cavalcanti
, Karl Heinz Kienitz
, Visakan Kadirkamanathan
:
Identification of Two-Time Scaled Systems Using Prefilters. J. Control. Sci. Eng. 2018: 3138149:1-3138149:10 (2018) - [j53]Christopher J. Hambley
, Bryn Ll. Jones, Ian Griffin, Andrew R. Mills
, Visakan Kadirkamanathan
:
Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines. Syst. Eng. 21(5): 417-431 (2018) - 2017
- [j52]Shlomo Yaakov Gadelovits, Qing-Chang Zhong
, Visakan Kadirkamanathan
, Alon Kuperman
:
UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. 64(9): 7433-7443 (2017) - 2016
- [j51]Julian Mercieca, Visakan Kadirkamanathan
:
Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science. Annu. Rev. Control. 42: 285-298 (2016) - [j50]Allan De Freitas, Lyudmila Mihaylova
, Amadou Gning, Donka S. Angelova, Visakan Kadirkamanathan
:
Autonomous crowds tracking with box particle filtering and convolution particle filtering. Autom. 69: 380-394 (2016) - [j49]Kirubhakaran Krishnanathan, Sean R. Anderson
, Stephen A. Billings, Visakan Kadirkamanathan
:
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation. Int. J. Syst. Sci. 47(15): 3537-3544 (2016) - 2015
- [j48]Parham Aram, Lingli Shen, John A. Pugh, Seetharaman Vaidyanathan
, Visakan Kadirkamanathan
:
An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares. Bioinform. 31(5): 753-760 (2015) - [j47]Shahnoor Shanta
, Visakan Kadirkamanathan
:
A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process. Int. J. Syst. Sci. 46(3): 418-428 (2015) - [j46]Parham Aram, Dean R. Freestone
, Mark J. Cook
, Visakan Kadirkamanathan
, David B. Grayden:
Model-based estimation of intra-cortical connectivity using electrophysiological data. NeuroImage 118: 563-575 (2015) - [j45]Parham Aram, Visakan Kadirkamanathan
, Sean R. Anderson
:
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2978-2983 (2015) - 2013
- [j44]Tara Baldacchino, Sean R. Anderson
, Visakan Kadirkamanathan
:
Computational system identification for Bayesian NARMAX modelling. Autom. 49(9): 2641-2651 (2013) - [j43]Parham Aram, Dean R. Freestone
, Michael Dewar, Kenneth Scerri, Viktor K. Jirsa
, David B. Grayden, Visakan Kadirkamanathan
:
Spatiotemporal multi-resolution approximation of the Amari type neural field model. NeuroImage 66: 88-102 (2013) - 2012
- [j42]Tara Baldacchino, Sean R. Anderson
, Visakan Kadirkamanathan
:
Structure detection and parameter estimation for NARX models in a unified EM framework. Autom. 48(5): 857-865 (2012) - [j41]Andrew Zammit-Mangion
, Guido Sanguinetti
, Visakan Kadirkamanathan
:
Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations. IEEE Trans. Signal Process. 60(7): 3449-3459 (2012) - 2011
- [j40]Andrew Zammit-Mangion
, Ke Yuan, Visakan Kadirkamanathan
, Mahesan Niranjan
, Guido Sanguinetti
:
Online Variational Inference for State-Space Models with Point-Process Observations. Neural Comput. 23(8): 1967-1999 (2011) - [j39]Dean R. Freestone
, Parham Aram, Michael Dewar, Kenneth Scerri, David B. Grayden, Visakan Kadirkamanathan
:
A data-driven framework for neural field modeling. NeuroImage 56(3): 1043-1058 (2011) - 2010
- [j38]Alex Shenfield
, Peter J. Fleming
, Visakan Kadirkamanathan
, Jeff Allan:
Optimisation of maintenance scheduling strategies on the grid. Ann. Oper. Res. 180(1): 213-231 (2010) - [j37]Michael Dewar, Visakan Kadirkamanathan
, Manfred Opper, Guido Sanguinetti
:
Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster. BMC Syst. Biol. 4: 21 (2010) - [j36]Peter J. Fleming
, Visakan Kadirkamanathan
:
Editorial. Int. J. Syst. Sci. 41(7): 727 (2010) - [j35]M. A. Chadwick, Sean R. Anderson
, Visakan Kadirkamanathan
:
An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models. Int. J. Syst. Sci. 41(7): 839-851 (2010) - [j34]George Papadatos
, Muhammad Alkarouri, Valerie J. Gillet
, Peter Willett, Visakan Kadirkamanathan
, Christopher N. Luscombe, Gianpaolo Bravi, Nicola J. Richmond, Stephen D. Pickett, Jameed Hussain, John Pritchard, Anthony W. J. Cooper, Simon J. F. Macdonald:
Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity. J. Chem. Inf. Model. 50(10): 1872-1886 (2010) - 2009
- [j33]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): 2824-2830 (2009) - [j32]Visakan Kadirkamanathan
, C. Halauca, Sean R. Anderson
:
Predictive control of fast-sampled systems using the delta-operator. Int. J. Syst. Sci. 40(7): 745-756 (2009) - [j31]George Papadatos
, Anthony W. J. Cooper, Visakan Kadirkamanathan
, Simon J. F. Macdonald, Iain M. McLay, Stephen D. Pickett, John Pritchard, Peter Willett, Valerie J. Gillet
:
Analysis of Neighborhood Behavior in Lead Optimization and Array Design. J. Chem. Inf. Model. 49(2): 195-208 (2009) - [j30]Michael Dewar, Kenneth Scerri, Visakan Kadirkamanathan
:
Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation. IEEE Trans. Signal Process. 57(1): 83-91 (2009) - [j29]Kenneth Scerri, Michael Dewar, Visakan Kadirkamanathan
:
Estimation and Model Selection for an IDE-Based Spatio-Temporal Model. IEEE Trans. Signal Process. 57(2): 482-492 (2009) - 2008
- [j28]Visakan Kadirkamanathan
, Sean R. Anderson
:
Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals. IEEE Trans. Signal Process. 56(8-1): 3765-3770 (2008) - 2007
- [j27]Sean R. Anderson
, Visakan Kadirkamanathan
:
Modelling and identification of non-linear deterministic systems in the delta-domain. Autom. 43(11): 1859-1868 (2007) - [j26]Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan
, Haydn A. Thompson, Peter J. Fleming
:
Service-oriented architecture on the Grid for integrated fault diagnostics. Concurr. Comput. Pract. Exp. 19(2): 223-234 (2007) - [j25]Shahnoor Shanta
, Visakan Kadirkamanathan
:
Parametric polyspectrum density estimation using the bootstrap method. Signal Process. 87(1): 177-188 (2007) - [j24]Sean R. Anderson
, Paul Dean, Visakan Kadirkamanathan
, Chris R. S. Kaneko, John Porrill:
System Identification From Multiple Short-Time-Duration Signals. IEEE Trans. Biomed. Eng. 54(12): 2205-2213 (2007) - [j23]Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan
, Stephen A. Billings, Phillip C. Wright
:
Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 4(1): 126-138 (2007) - [j22]Michael Dewar, Visakan Kadirkamanathan
:
A Canonical Space-Time State Space Model: State and Parameter Estimation. IEEE Trans. Signal Process. 55(10): 4862-4870 (2007) - 2006
- [j21]Visakan Kadirkamanathan
, Jing Yang, Stephen A. Billings, Phillip C. Wright
:
Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum. Bioinform. 22(21): 2681-2687 (2006) - [j20]M. A. Chadwick, Visakan Kadirkamanathan
, S. A. Billings:
Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models. Signal Process. 86(11): 3246-3257 (2006) - [j19]Nordin Bin Saad
, Visakan Kadirkamanathan
:
A DES approach for the contextual load modelling of supply chain system for instability analysis. Simul. Model. Pract. Theory 14(5): 541-563 (2006) - [j18]Harini Kulatunga, Visakan Kadirkamanathan
:
Multiple H∞ Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels. IEEE Signal Process. Lett. 13(4): 185-188 (2006) - [j17]Visakan Kadirkamanathan
, Kirusnapillai Selvarajah, Peter J. Fleming
:
Stability analysis of the particle dynamics in particle swarm optimizer. IEEE Trans. Evol. Comput. 10(3): 245-255 (2006) - [j16]Harini Kulatunga, Visakan Kadirkamanathan
:
Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach. IEEE Trans. Signal Process. 54(5): 1629-1644 (2006) - 2005
- [j15]Sean R. Anderson
, Visakan Kadirkamanathan
, Andrew J. Chipperfield
, V. Sharifi, J. Swithenbank:
Multi-objective optimization of operational variables in a waste incineration plant. Comput. Chem. Eng. 29(5): 1121-1130 (2005) - [j14]Peter J. Fleming, Visakan Kadirkamanathan
:
IJSS Editorial. Int. J. Syst. Sci. 36(1) (2005) - [j13]Max Ong, Xiaoxu Ren, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming
:
Decision support system on the grid. Int. J. Knowl. Based Intell. Eng. Syst. 9(4): 315-326 (2005) - 2003
- [j12]Paul J. Stewart
, Visakan Kadirkamanathan
:
Commutation of permanent-magnet synchronous AC motors for military and traction applications. IEEE Trans. Ind. Electron. 50(3): 629-630 (2003) - 2002
- [j11]Visakan Kadirkamanathan
, Ping Li, Mohamed Hisham Jaward
, Simon G. Fabri
:
Particle filtering-based fault detection in non-linear stochastic systems. Int. J. Syst. Sci. 33(4): 259-265 (2002) - 2001
- [j10]Shane Regunath, Visakan Kadirkamanathan:
Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming. Appl. Soft Comput. 1(1): 91-104 (2001) - [j9]Ping Li, Visakan Kadirkamanathan
:
Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems. IEEE Trans. Syst. Man Cybern. Part C 31(3): 337-343 (2001) - 2000
- [j8]Guoping Liu
, Stephen A. Billings, Visakan Kadirkamanathan
:
Nonlinear system identification using wavelet networks. Int. J. Syst. Sci. 31(12): 1531-1541 (2000) - 1999
- [j7]Visakan Kadirkamanathan:
Fuzzy Logic and Control: Software and Hardware Applications. Mohammad Jamshidi, Nader Vadiee and Timothy J. Ross (eds.). Artif. Intell. Rev. 13(4): 337-339 (1999) - [j6]Guoping Liu
, Visakan Kadirkamanathan
, Stephen A. Billings:
Neural network-based variable structure control for nonlinear discrete systems. Int. J. Syst. Sci. 30(10): 1153-1160 (1999) - [j5]Guoping Liu
, Visakan Kadirkamanathan
, Stephen A. Billings:
Variable neural networks for adaptive control of nonlinear systems. IEEE Trans. Syst. Man Cybern. Part C 29(1): 34-43 (1999) - 1998
- [j4]Simon G. Fabri
, Visakan Kadirkamanathan
:
Dual adaptive control of nonlinear stochastic systems using neural networks. Autom. 34(2): 245-253 (1998) - [j3]Guoping Liu
, Visakan Kadirkamanathan
, Stephen A. Billings:
On-line identification of nonlinear systems using Volterra polynomial basis function neural networks. Neural Networks 11(9): 1645-1657 (1998) - 1996
- [j2]Simon G. Fabri
, Visakan Kadirkamanathan
:
Dynamic structure neural networks for stable adaptive control of nonlinear systems. IEEE Trans. Neural Networks 7(5): 1151-1167 (1996) - 1993
- [j1]Visakan Kadirkamanathan
, Mahesan Niranjan:
A Function Estimation Approach to Sequential Learning with Neural Networks. Neural Comput. 5(6): 954-975 (1993)
Conference and Workshop Papers
- 2023
- [c52]Victoria Johnson, João A. Duro
, Visakan Kadirkamanathan, Robin C. Purshouse
:
A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. EMO 2023: 319-332 - [c51]Victoria Johnson
, João A. Duro
, Visakan Kadirkamanathan
, Robin C. Purshouse
:
A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. GECCO Companion 2023: 1611-1619 - [c50]Sabeethan Kanagasingham, Andrew R. Mills, Visakan Kadirkamanathan:
Distributed Kalman Filtering for Temporal Resolution Enhancement of Thermal Images. ISPA 2023: 1-6 - [c49]Grigoris Michos, George C. Konstantopoulos, Paul A. Trodden, Visakan Kadirkamanathan:
Control of Isolated AC Microgrids with Constant Power Loads: A Set Invariance Approach. MED 2023: 239-244 - 2022
- [c48]Victoria Johnson, João A. Duro
, Visakan Kadirkamanathan
, Robin C. Purshouse
:
Toward scalable benchmark problems for multi-objective multidisciplinary optimization. SSCI 2022: 133-140 - 2021
- [c47]Romain Guicherd, Andrew R. Mills
, Paul A. Trodden, Visakan Kadirkamanathan
:
Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. ACC 2021: 3794-3799 - [c46]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
:
Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection. MED 2021: 368-373 - 2020
- [c45]Evgeny Zotov
, Ashutosh Tiwari, Visakan Kadirkamanathan
:
Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration. EANN 2020: 190-201 - [c44]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
:
Novel droop control design for overvoltage protection of DC microgrids with a constant power load. MED 2020: 875-880 - 2019
- [c43]João A. Duro
, Robin C. Purshouse
, Shaul Salomon, Daniel C. Oara, Visakan Kadirkamanathan
, Peter J. Fleming
:
sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems. EMO 2019: 424-438 - [c42]Ibrahim Sanusi
, Andrew R. Mills
, Paul A. Trodden, Visakan Kadirkamanathan
, Tony J. Dodd
:
Reinforcement learning for condition-based control of gas turbine engines. ECC 2019: 3928-3933 - 2018
- [c41]Adam Hartwell, Visakan Kadirkamanathan
, Sean R. Anderson
:
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. BioRob 2018: 891-896 - [c40]Andrei-Constantin Braitor, Pablo R. Baldivieso Monasterios
, George C. Konstantopoulos, Visakan Kadirkamanathan
:
Current-Limiting Droop Control Design of Paralleled AC/DC and DC/DC Converters in DC Micro-Grids. IECON 2018: 132-137 - 2017
- [c39]Visakan Kadirkamanathan:
Statistical estimation of spatio-temporal systems. ICAC 2017: 1 - [c38]Visakan Kadirkamanathan:
MED 2017 Plenary lectures and tutorial: Modelling, estimation and identification of spatio-temporal and multiscale systems. MED 2017: 1-2 - [c37]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan
:
Power sharing of parallel operated DC-DC converters using current-limiting droop control. MED 2017: 528-533 - 2016
- [c36]Adam Hartwell, Visakan Kadirkamanathan
, Sean R. Anderson
:
Person-specific gesture set selection for optimised movement classification from EMG signals. EMBC 2016: 880-883 - 2015
- [c35]Julian Mercieca, Parham Aram, Visakan Kadirkamanathan
:
Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems. ECC 2015: 491-496 - 2013
- [c34]Geoffrey R. Holmes
, Sean R. Anderson
, Giles Dixon
, Stephen A. Renshaw
, Visakan Kadirkamanathan
:
A Bayesian framework for identifying cell migration dynamics. EMBC 2013: 3455-3458 - 2012
- [c33]Jing Yang, Hua-Liang Wei
, Visakan Kadirkamanathan
, Xiaofang Lin:
System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. ICMLC 2012: 949-955 - [c32]Jing Yang, Xiaofang Ling, Lishan Yao, Hua-Liang Wei
, Visakan Kadirkamanathan
:
System identification of the fermentation system of Thermoanaerobacter sp. X514. ISB 2012: 158-163 - 2009
- [c31]Harini Kulatunga, William J. Knottenbelt, Visakan Kadirkamanathan
:
Adaptive Planning of Staffing Levels in Health Care Organisations. eHealth 2009: 88-95 - [c30]Ping Li, Ian Postlethwaite, Visakan Kadirkamanathan, Michael Z. Q. Chen:
A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems. ECC 2009: 1907-1912 - [c29]Victor Olariu, Daniel Coca, Stephen A. Billings, Visakan Kadirkamanathan
:
Modelling Stem Cells Lineages with Markov Trees. PRIB 2009: 233-243 - 2007
- [c28]G. M. Allan, N. D. Allan, Visakan Kadirkamanathan
, Peter J. Fleming
:
Risk Mining for Strategic Decision Making. AWIC 2007: 21-28 - [c27]Jing Yang, Visakan Kadirkamanathan, Stephen A. Billings:
In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. CIBCB 2007: 387-394 - [c26]Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. CIBCB 2007: 410-417 - [c25]Luka Eciolaza
, Muhammad Alkarouri, Neil D. Lawrence
, Visakan Kadirkamanathan
, Peter J. Fleming
:
Gaussian Process Latent Variable Models for Fault Detection. CIDM 2007: 287-292 - [c24]Tomohiro Hachino, Visakan Kadirkamanathan
:
Time Series Forecasting Using Multiple Gaussian Process Prior Model. CIDM 2007: 604-609 - [c23]Alex Shenfield
, Peter J. Fleming
, Jeff Allan, Visakan Kadirkamanathan
:
Optimisation of Maintenance Scheduling Strategies on the Grid. CISched 2007: 231-237 - 2006
- [c22]Kirusnapillai Selvarajah, Visakan Kadirkamanathan:
Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization. ANTS Workshop 2006: 510-511 - 2005
- [c21]Max Ong, Muhammad Alkarouri, Xiaoxu Ren, Geoffrey Allan, Visakan Kadirkamanathan
, Haydn A. Thompson, Peter J. Fleming
:
Grid-Based Decision Support with Pro-Active Mobile Computing. IEEE SCC 2005: 59-66 - [c20]Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Differential Evolution and Its Application to Metabolic Flux Analysis. EvoWorkshops 2005: 115-124 - 2004
- [c19]Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems. CIBCB 2004: 260-267 - [c18]Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan
, Haydn A. Thompson, Peter J. Fleming:
Integrated Fault Diagnostics on the Grid. ICECCS 2004: 59-65 - [c17]Max Ong, Xiaoxu Ren, Jeff Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
Decision Support System on the Grid. KES 2004: 699-710 - [c16]Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
A Service Oriented Architecture for Integration of Fault Diagnostics. SAG 2004: 146-157 - 2003
- [c15]Ping Li, Roger M. Goodall, Visakan Kadirkamanathan
:
Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter. ECC 2003: 2384-2389 - [c14]Harini Kulatunga, M. H. Jawad, Visakan Kadirkamanathan:
Multiple models for blind multiuser detection in MIMO DS/CDMA systems. GLOBECOM 2003: 2453-2457 - 2002
- [c13]Mohamed Hisham Jaward
, Visakan Kadirkamanathan
:
Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems. PIMRC 2002: 1227-1231 - [c12]Mohamed Hisham Jaward
, Visakan Kadirkamanathan
:
Adaptive multiuser detection for frequency selective channel using IMM. PIMRC 2002: 1275-1279 - 2001
- [c11]Ping Li, Visakan Kadirkamanathan
:
Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems. ECC 2001: 1378-1383 - [c10]Mohamed Hisham Jaward
, Visakan Kadirkamanathan
:
Interacting multiple models for single-user channel estimation and equalization. ICASSP 2001: 2101-2104 - 2000
- [c9]Visakan Kadirkamanathan
, Mohamed Hisham Jaward
, Simon G. Fabri
, Maha Kadirkamanathan:
Particle filters for recursive model selection in linear and nonlinear system identification. CDC 2000: 2391-2396 - [c8]Visakan Kadirkamanathan
, Ping Li, Mohamed Hisham Jaward
, Simon G. Fabri
:
A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems. CDC 2000: 4341-4346 - 1997
- [c7]Norbert Jankowski, Visakan Kadirkamanathan
:
Statistical Control of RBF-like Networks for Classification. ICANN 1997: 385-390 - 1995
- [c6]Visakan Kadirkamanathan, Maha Kadirkamanathan:
Recursive Estimation of Dynamic Modular RBF Networks. NIPS 1995: 239-245 - 1994
- [c5]Gu Junxiao, Visakan Kadirkamanathan:
A B-Spline Based Algorithm for Shape From Shading. MVA 1994: 119-122 - 1992
- [c4]Visakan Kadirkamanathan
, Mahesan Niranjan
, Frank Fallside:
Models of dynamic complexity for time-series prediction (neural networks). ICASSP 1992: 269-272 - 1991
- [c3]Mahesan Niranjan
, Visakan Kadirkamanathan
:
A nonlinear model for time series prediction and signal interpolation. ICASSP 1991: 1713-1716 - [c2]Visakan Kadirkamanathan
, Mahesan Niranjan
:
Nonlinear adaptive filtering in nonstationary environments. ICASSP 1991: 2177-2180 - 1990
- [c1]Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside:
Sequential Adaptation of Radial Basis Function Networks. NIPS 1990: 721-727
Editorship
- 2009
- [e1]Visakan Kadirkamanathan
, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel:
Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings. Lecture Notes in Computer Science 5780, Springer 2009, ISBN 978-3-642-04030-6 [contents]
Informal and Other Publications
- 2023
- [i6]Felipe Montana, Adam Hartwell, Will Jacobs, Visakan Kadirkamanathan
, Andrew R. Mills
, Tom Clark:
Through-life Monitoring of Resource-constrained Systems and Fleets. CoRR abs/2301.01017 (2023) - 2021
- [i5]Fabio Luis de Mello, J. Mark Wilkinson, Visakan Kadirkamanathan:
Metaparametric Neural Networks for Survival Analysis. CoRR abs/2110.06610 (2021) - [i4]Adam Hartwell, Felipe Montana, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark:
In-flight Novelty Detection with Convolutional Neural Networks. CoRR abs/2112.03765 (2021) - 2020
- [i3]Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data. CoRR abs/2007.10879 (2020) - 2018
- [i2]Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. CoRR abs/1806.08641 (2018) - 2017
- [i1]Romain Guicherd, Paul A. Trodden, Andrew R. Mills, Visakan Kadirkamanathan:
Weak Interactions Based System Partitioning Using Integer Linear Programming. CoRR abs/1705.06526 (2017)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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