Grazziela P. Figueredo
Cited by
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Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer
GP Figueredo, PO Siebers, MR Owen, J Reps, U Aickelin
PloS one 9 (4), e95150, 2014
Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
MJ Vassey, GP Figueredo, D Scurr, AS Vasilevich, S Vermeulen, A Carlier, ...
Advanced Science, 2020
Novel in vitro diagnosis of equine allergies using a protein array and mathematical modelling approach: a proof of concept using insect bite hypersensitivity
E Marti, X Wang, NN Jambari, C Rhyner, J Olzhausen, JJ Pérez-Barea, ...
Veterinary immunology and immunopathology 167 (3-4), 171-177, 2015
On-lattice agent-based simulation of populations of cells within the open-source chaste framework
GP Figueredo, TV Joshi, JM Osborne, HM Byrne, MR Owen
Interface focus 3 (2), 20120081, 2013
Comparing system dynamics and agent-based simulation for tumour growth and its interactions with effector cells
G Figueredo, U Aickelin
Available at SSRN 2829238, 2011
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective
GP Figueredo, PO Siebers, U Aickelin
BMC bioinformatics 14 (6), 1-20, 2013
Immune-instructive polymers control macrophage phenotype and modulate the foreign body response in vivo
HM Rostam, LE Fisher, AL Hook, L Burroughs, JC Luckett, GP Figueredo, ...
Matter 2 (6), 1564-1581, 2020
Short and long term predictions of hospital emergency department attendances
T Jilani, G Housley, G Figueredo, PS Tang, J Hatton, D Shaw
International journal of medical informatics 129, 167-174, 2019
Investigating immune system aging: system dynamics and agent-based modeling
GP Figueredo, U Aickelin
arXiv preprint arXiv:1306.6206, 2013
Systems dynamics or agent-based modelling for immune simulation?
GP Figueredo, U Aickelin, PO Siebers
International Conference on Artificial Immune Systems, 81-94, 2011
Discovery of (meth) acrylate polymers that resist colonization by fungi associated with pathogenesis and biodeterioration
C Vallieres, AL Hook, Y He, VC Crucitti, G Figueredo, CR Davies, ...
Science advances 6 (23), eaba6574, 2020
Deep Learning With Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management
D Rengasamy, M Jafari, B Rothwell, X Chen, GP Figueredo
Sensors, 2020
An immune-inspired instance selection mechanism for supervised classification
GP Figueredo, NFF Ebecken, DA Augusto, HJC Barbosa
Memetic Computing 4 (2), 135-147, 2012
A strategy for training set selection in text classification problems
C Passini, M Luiza, KB Estébanez, GP Figueredo, F Ebecken, F Nelson
International Journal of Advanced Computer Science & Applications 4 (6), 2013
Evolving deep CNN-LSTMs for inventory time series prediction
N Xue, I Triguero, GP Figueredo, D Landa-Silva
2019 IEEE Congress on Evolutionary Computation (CEC), 1517-1524, 2019
Deep learning approaches to aircraft maintenance, repair and overhaul: a review
D Rengasamy, HP Morvan, GP Figueredo
2018 21st International Conference on Intelligent Transportation Systems …, 2018
The supraic algorithm: A suppression immune based mechanism to find a representative training set in data classification tasks
GP Figueredo, NFF Ebecken, HJC Barbosa
International Conference on Artificial Immune Systems, 59-70, 2007
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom
GP Figueredo, U Agrawal, JM Mase, M Mesgarpour, C Wagner, D Soria, ...
IEEE Trans. Intell. Transp. Syst, 2018
Vehicle incident hot spots identification: An approach for big data
I Triguero, GP Figueredo, M Mesgarpour, JM Garibaldi, RI John
2017 IEEE Trustcom/BigDataSE/ICESS, 901-908, 2017
Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence
GP Figueredo, PO Siebers, U Aickelin, A Whitbrook, JM Garibaldi
PloS one 10 (3), e0118359, 2015
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