Grazziela Figueredo
Grazziela Figueredo
Associate Professor, University of Nottingham
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Cited by
Cited by
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
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
Students’ views towards Sars-Cov-2 mass asymptomatic testing, social distancing and self-isolation in a university setting during the COVID-19 pandemic: A qualitative study
H Blake, H Knight, R Jia, J Corner, JR Morling, C Denning, JK Ball, ...
International journal of environmental research and public health 18 (8), 4182, 2021
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-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
A Hybrid Deep Learning Approach for Driver Distraction Detection
JM Mase, P Chapman, GP Figueredo, MT Torres
The 11th International Conference on ICT Convergence, 2020
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
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
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
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
Evaluating the Impact of Heavy Goods Vehicle Driver Monitoring and Coaching to Reduce Risky Behaviour
JM Mase, S Majid, M Mesgarpour, MT Torres, GP Figueredo, P Chapman
Accident Analysis and Prevention 146, 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
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
Benchmarking Deep Learning Models for Driver Distraction Detection
JM Mase, P Chapman, GP Figueredo, MT Torres
The Sixth International Conference on Machine Learning, Optimization, and …, 2020
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
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 (Suppl 6), S6, 2013
Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion
D Rengasamy, BC Rothwell, GP Figueredo
Applied Sciences 11 (24), 11854, 2021
Feature importance in machine learning models: A fuzzy information fusion approach
D Rengasamy, JM Mase, A Kumar, B Rothwell, MT Torres, MR Alexander, ...
Neurocomputing 511, 163-174, 2022
Discovery of Synergistic Material-Topography Combinations to Achieve Immunomodulatory Osteoinductive Biomaterials using a novel in vitro screening method: the ChemoTopoChip
L Burroughs, MH Amer, M Vassey, B Koch, GP Figueredo, ...
Biomaterials, 120740, 2021
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion
S Sanchez, D Rengasamy, CJ Hyde, GP Figueredo, B Rothwell
Journal of Intelligent Manufacturing, 2021
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Articles 1–20