Grazziela P. Figueredo

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 46

Top Venues

University of Nottingham, UK (PHD)

Education History

University of Nottingham, UK

PHD

Publications

Halar Memon, Eskil Gjerde, Alex Lynam, Amiya Chowdhury, Geert De Maere, Grazziela P. Figueredo, Tanvir Hussain
Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. Eng. Appl. Artif. Intell. 128 (2024)
Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. CoRR (2024)
Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen
MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations. CoRR (2024)
Gilang Fajar Febrian, Grazziela P. Figueredo
KemenkeuGPT: Leveraging a Large Language Model on Indonesia's Government Financial Data and Regulations to Enhance Decision Making. CoRR (2024)
Jimiama M. M. Mase, Natalie Leesakul, Grazziela P. Figueredo, Mercedes Torres Torres
Facial identity protection using deep learning technologies: an application in affective computing. AI Ethics 3 (3) (2023)
Jimiama M. M. Mase, Peter Chapman, Christian Wagner, Grazziela P. Figueredo
Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules. FUZZ (2023)
Madiha Samo, Jimiama Mafeni Mase, Grazziela P. Figueredo
Deep Learning with Attention Mechanisms for Road Weather Detection. Sensors 23 (2) (2023)
Shreya Iyer, Jacob Brain, Reza Omidvar, Mario Siervo, Nadeem Qureshi, Ralph K. Akyea, Stephen Kaptoge, Grazziela P. Figueredo, Blossom Stephan
Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis. BigData (2023)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. CoRR (2022)
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR (2022)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. LOD (2) (2022)
Victoria Bell, Divish Rengasamy, Benjamin Rothwell, Grazziela P. Figueredo
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding. CoRR (2022)
Shazmin Majid, Richard Morriss, Grazziela P. Figueredo, Stuart Reeves
Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI. Conference on Designing Interactive Systems (2022)
Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo
Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing 511 (2022)
Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. CoRR (2021)
Divish Rengasamy, Jimiama Mafeni Mase, Mercedes Torres Torres, Benjamin Rothwell, David A. Winkler, Grazziela P. Figueredo
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. CoRR (2021)
Salomé Sanchez, Divish Rengasamy, Christopher J. Hyde, Grazziela P. Figueredo, Benjamin Rothwell
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. J. Intell. Manuf. 32 (8) (2021)
Peer-Olaf Siebers, Zhi En Lim, Grazziela P. Figueredo, James Hey
An Innovative Approach to Multi-Method Integrated Assessment Modelling of Global Climate Change. J. Artif. Soc. Soc. Simul. 23 (1) (2020)
Divish Rengasamy, Benjamin Rothwell, Grazziela P. Figueredo
Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines. IJCNN (2020)
Olusola Theophilus Faboya, Brendan Ryan, Grazziela P. Figueredo, Peer-Olaf Siebers
Using agent-based modelling for investigating modal shift: The case of university travel. Comput. Ind. Eng. 139 (2020)
Alexandre Maciel-Guerra, Grazziela P. Figueredo, Jamie Twycross
Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges. LOD (1) (2020)
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
Benchmarking Deep Learning Models for Driver Distraction Detection. LOD (2) (2020)
Divish Rengasamy, Mina Jafari, Benjamin Rothwell, Xin Chen, Grazziela P. Figueredo
Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. Sensors 20 (3) (2020)
Alexandre Maciel-Guerra, Grazziela P. Figueredo, Eliane Marti, Marcos J. C. Alcocer, Jamie Twycross
Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data. IJCNN (2020)
Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC (2020)
Giacomo P. Figueredo, Grazziela P. Figueredo
A Systemic Dynamics Model of Text Production. J. Quant. Linguistics 27 (4) (2020)
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
A Hybrid Deep Learning Approach for Driver Distraction Detection. ICTC (2020)
Alexandre Maciel-Guerra, Grazziela P. Figueredo, Fernando J. Von Zuben, Eliane Marti, Jamie Twycross, Marcos J. C. Alcocer
Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. CEC (2019)
Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. ICORES (2019)
Divish Rengasamy, Jimiama M. M. Mase, Benjamin Rothwell, Grazziela P. Figueredo
An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. ITSC (2019)
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Robert I. John
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. Cogn. Comput. 11 (3) (2019)
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Ender Özcan, Mohammad Mesgarpour, Robert I. John
Fuzzy Hot Spot Identification for Big Data: An Initial Approach. FUZZ-IEEE (2019)
Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. CEC (2019)
Tahseen Jilani, Gemma Housley, Grazziela P. Figueredo, Pui-Shan Tang, Jim Hatton, Dominick Shaw
Short and Long term predictions of Hospital emergency department attendances. Int. J. Medical Informatics 129 (2019)
Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John
Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. ITSC (2019)
Grazziela P. Figueredo, Peng Shi, Andrew J. Parkes, Keith Evans, Jonathan M. Garibaldi, Ola Negm, Patrick J. Tighe, Herbert F. Sewell, John Robertson
A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. CEC (2019)
Ning Xue, Dario Landa-Silva, Isaac Triguero, Grazziela P. Figueredo
A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. CEC (2018)
Divish Rengasamy, Hervé P. Morvan, Grazziela P. Figueredo
Deep Learning Approaches to Aircraft Maintenance, Repair and Overhaul: A Review. ITSC (2018)
Olusola Theophilus Faboya, Grazziela P. Figueredo, Brendan Ryan, Peer-Olaf Siebers
Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. ITSC (2018)
Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John
Vehicle Incident Hot Spots Identification: An Approach for Big Data. TrustCom/BigDataSE/ICESS (2017)
Grazziela P. Figueredo, Isaac Triguero, Mohammad Mesgarpour, Alexandre M. Guerra, Jonathan M. Garibaldi, Robert I. John
An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. IEEE Trans. Emerg. Top. Comput. Intell. 1 (4) (2017)
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda M. Whitbrook, Jonathan M. Garibaldi
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence. CoRR (2016)
Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. CoRR (2016)
Grazziela P. Figueredo, Philip R. Quinlan, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John
A Data Analysis Framework to Rank HGV Drivers. ITSC (2015)
Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. TrustCom/BigDataSE/ISPA (2) (2015)
Grazziela P. Figueredo, Peer-Olaf Siebers, Markus R. Owen, Jenna Reps, Uwe Aickelin
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer. CoRR (2014)
Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers
Systems Dynamics or Agent-Based Modelling for Immune Simulation? CoRR (2013)
Grazziela P. Figueredo, Uwe Aickelin
Investigating Immune System Aging: System Dynamics and Agent-Based Modeling. CoRR (2013)
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. BMC Bioinform. 14 (S-6) (2013)
Grazziela P. Figueredo, Uwe Aickelin
Defining a Simulation Strategy for Cancer Immunocompetence. CoRR (2013)
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan
A Beginners Guide to Systems Simulation in Immunology. CoRR (2013)
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin
Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective. CoRR (2013)
Grazziela P. Figueredo, Peer-Olaf Siebers, Douglas Adriano Augusto, Helio J. C. Barbosa, Uwe Aickelin
The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios. ECAL (2013)
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan
A Beginner's Guide to Systems Simulation in Immunology. ICARIS (2012)
Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers
Systems Dynamics or Agent-Based Modelling for Immune Simulation? ICARIS (2011)
Grazziela P. Figueredo, Uwe Aickelin
Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells CoRR (2011)
Grazziela P. Figueredo, Uwe Aickelin
Defining a Simulation Strategy for Cancer Immunocompetence. ICARIS (2010)
Grazziela P. Figueredo, Uwe Aickelin
Investigating immune system aging: system dynamics and agent-based modeling. SummerSim (2010)
Grazziela P. Figueredo, Uwe Aickelin, Amanda M. Whitbrook
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire CoRR (2010)

Grazziela P. Figueredo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Grazziela P. Figueredo