Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution. - Grazziela Patrocinio Figueredo; Luís Alfredo V. de Carvalho; Helio J. C. Barbosa (ICNC (2), 2005)

Suppression based immune mechanism to find arepresentative training set in data classification tasks. - Grazziela Patrocinio Figueredo; Nelson F. F. Ebecken; Helio J. C. Barbosa (GECCO, 2007)

The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. - Grazziela Patrocinio Figueredo; Nelson F. F. Ebecken; Helio J. C. Barbosa (ICARIS, 2007)

Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system. - Grazziela Patrocinio Figueredo; Luís Alfredo V. de Carvalho; Helio J. C. Barbosa; Nelson F. F. Ebecken (Evol. Intell., 2008)

Defining a Simulation Strategy for Cancer Immunocompetence. - Grazziela P. Figueredo; Uwe Aickelin (ICARIS, 2010)

Investigating immune system aging: system dynamics and agent-based modeling. - Grazziela P. Figueredo; Uwe Aickelin (SummerSim, 2010)

System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire - Grazziela P. Figueredo; Uwe Aickelin; Amanda M. Whitbrook (CoRR, 2010)

Systems Dynamics or Agent-Based Modelling for Immune Simulation? - Grazziela P. Figueredo; Uwe Aickelin; Peer-Olaf Siebers (ICARIS, 2011)

Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells - Grazziela P. Figueredo; Uwe Aickelin (CoRR, 2011)

A Beginner's Guide to Systems Simulation in Immunology. - Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Stephanie J. Foan (ICARIS, 2012)

An immune-inspired instance selection mechanism for supervised classification. - Grazziela Patrocinio Figueredo; Nelson F. F. Ebecken; Douglas Adriano Augusto; Helio J. C. Barbosa (Memetic Comput., 2012)

Translating simulation approaches for immunology. - Grazziela P. Figueredo (2012)

The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios. - Grazziela P. Figueredo; Peer-Olaf Siebers; Douglas Adriano Augusto; Helio J. C. Barbosa; Uwe Aickelin (ECAL, 2013)

Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. - Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin (BMC Bioinform., 2013)

A Beginners Guide to Systems Simulation in Immunology. - Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Stephanie J. Foan (CoRR, 2013)

Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer. - Grazziela P. Figueredo; Peer-Olaf Siebers; Markus R. Owen; Jenna Reps; Uwe Aickelin (CoRR, 2014)

A Data Analysis Framework to Rank HGV Drivers. - Grazziela P. Figueredo; Philip Roy Quinlan; Mohammad Mesgarpour; Jonathan M. Garibaldi; Robert I. John (ITSC, 2015)

Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. - Grazziela P. Figueredo; Christian Wagner 002; Jonathan M. Garibaldi; Uwe Aickelin (TrustCom/BigDataSE/ISPA (2), 2015)

Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence. - Grazziela P. Figueredo; Peer-Olaf Siebers; Uwe Aickelin; Amanda M. Whitbrook; Jonathan M. Garibaldi (CoRR, 2016)

Vehicle Incident Hot Spots Identification: An Approach for Big Data. - Isaac Triguero; Grazziela P. Figueredo; Mohammad Mesgarpour; Jonathan M. Garibaldi; Robert I. John (TrustCom/BigDataSE/ICESS, 2017)

An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. - Grazziela P. Figueredo; Isaac Triguero; Mohammad Mesgarpour; Alexandre M. Guerra; Jonathan M. Garibaldi; Robert I. John (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. - Ning Xue; Dario Landa-Silva; Isaac Triguero; Grazziela P. Figueredo (CEC, 2018)

Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. - Olusola Theophilus Faboya; Grazziela P. Figueredo; Brendan Ryan; Peer-Olaf Siebers (ITSC, 2018)

Deep Learning Approaches to Aircraft Maintenance, Repair and Overhaul: A Review. - Divish Rengasamy; Hervé P. Morvan; Grazziela P. Figueredo (ITSC, 2018)

A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. - Grazziela P. Figueredo; Peng Shi 017; Andrew J. Parkes; Keith Evans; Jonathan M. Garibaldi; Ola Negm; Patrick James Tighe; Herbert F. Sewell; John Robertson (CEC, 2019)

Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. - Alexandre Maciel-Guerra; Grazziela P. Figueredo; Fernando J. Von Zuben; Eliane Marti; Jamie Twycross; Marcos J. C. Alcocer (CEC, 2019)

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. - Ning Xue; Isaac Triguero; Grazziela P. Figueredo; Dario Landa-Silva (CEC, 2019)

Fuzzy Hot Spot Identification for Big Data: An Initial Approach. - Rebecca Tickle; Isaac Triguero; Grazziela P. Figueredo; Ender Özcan; Mohammad Mesgarpour; Robert I. John (FUZZ-IEEE, 2019)

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. - Ning Xue; Dario Landa-Silva; Grazziela P. Figueredo; Isaac Triguero (ICORES, 2019)

Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. - Utkarsh Agrawal; Jimiama Mafeni Mase; Grazziela P. Figueredo; Christian Wagner 002; Mohammad Mesgarpour; Robert I. John (ITSC, 2019)

An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. - Divish Rengasamy; Jimiama M. M. Mase; Benjamin Rothwell; Grazziela P. Figueredo (ITSC, 2019)

PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. - Rebecca Tickle; Isaac Triguero; Grazziela P. Figueredo; Mohammad Mesgarpour; Robert I. John (Cogn. Comput., 2019)

Short and Long term predictions of Hospital emergency department attendances. - Tahseen Jilani; Gemma Housley; Grazziela P. Figueredo; Pui-Shan Tang; Jim Hatton; Dominick Shaw (Int. J. Medical Informatics, 2019)

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. - Grazziela P. Figueredo; Utkarsh Agrawal; Jimiama M. M. Mase; Mohammad Mesgarpour; Christian Wagner 002; Daniele Soria; Jonathan M. Garibaldi; Peer-Olaf Siebers; Robert I. John (IEEE Trans. Intell. Transp. Syst., 2019)

A Hybrid Deep Learning Approach for Driver Distraction Detection. - Jimiama Mafeni Mase; Peter Chapman; Grazziela P. Figueredo; Mercedes Torres Torres (ICTC, 2020)

Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data. - Alexandre Maciel-Guerra; Grazziela P. Figueredo; Eliane Marti; Marcos J. C. Alcocer; Jamie Twycross (IJCNN, 2020)

Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines. - Divish Rengasamy; Benjamin Rothwell; Grazziela P. Figueredo (IJCNN, 2020)

Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. - Jimiama Mafeni Mase; Utkarsh Agrawal; Direnc Pekaslan; Mohammad Mesgarpour; Peter Chapman; Mercedes Torres Torres; Grazziela P. Figueredo (ITSC, 2020)

Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges. - Alexandre Maciel-Guerra; Grazziela P. Figueredo; Jamie Twycross (LOD (1), 2020)

Benchmarking Deep Learning Models for Driver Distraction Detection. - Jimiama Mafeni Mase; Peter Chapman; Grazziela P. Figueredo; Mercedes Torres Torres (LOD (2), 2020)

Using agent-based modelling for investigating modal shift: The case of university travel. - Olusola Theophilus Faboya; Brendan Ryan; Grazziela P. Figueredo; Peer-Olaf Siebers (Comput. Ind. Eng., 2020)

Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion. - Divish Rengasamy; Benjamin Rothwell; Grazziela Patrocinio Figueredo (CoRR, 2020)

An Innovative Approach to Multi-Method Integrated Assessment Modelling of Global Climate Change. - Peer-Olaf Siebers; Zhi En Lim; Grazziela P. Figueredo; James Hey (J. Artif. Soc. Soc. Simul., 2020)

A Systemic Dynamics Model of Text Production. - Giacomo P. Figueredo; Grazziela P. Figueredo (J. Quant. Linguistics, 2020)

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. - Divish Rengasamy; Mina Jafari; Benjamin Rothwell; Xin Chen 003; Grazziela P. Figueredo (Sensors, 2020)

Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. - Divish Rengasamy; Jimiama Mafeni Mase; Mercedes Torres Torres; Benjamin Rothwell; David A. Winkler; Grazziela P. Figueredo (CoRR, 2021)

Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. - Jimiama Mafeni Mase; Natalie Leesakul; Fan Yang; Grazziela P. Figueredo; Mercedes Torres Torres (CoRR, 2021)

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. - Salomé Sanchez; Divish Rengasamy; Christopher J. Hyde; Grazziela P. Figueredo; Benjamin Rothwell (J. Intell. Manuf., 2021)

Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI. - Shazmin Majid; Richard Morriss; Grazziela P. Figueredo; Stuart Reeves (Conference on Designing Interactive Systems, 2022)

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. - Aayush Kumar; Jimiama Mafeni Mase; Divish Rengasamy; Benjamin Rothwell; Mercedes Torres Torres; David A. Winkler; Grazziela P. Figueredo (LOD (2), 2022)

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. - Jimiama Mafeni Mase; Direnc Pekaslan; Utkarsh Agrawal; Mohammad Mesgarpour; Peter Chapman; Mercedes Torres Torres; Grazziela P. Figueredo (CoRR, 2022)

Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding. - Victoria Bell; Divish Rengasamy; Benjamin Rothwell; Grazziela P. Figueredo (CoRR, 2022)

Feature importance in machine learning models: A fuzzy information fusion approach. - Divish Rengasamy; Jimiama Mafeni Mase; Aayush Kumar; Benjamin Rothwell; Mercedes Torres Torres; Morgan R. Alexander; David A. Winkler; Grazziela P. Figueredo (Neurocomputing, 2022)

Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis. - Shreya Iyer; Jacob Brain; Reza Omidvar; Mario Siervo; Nadeem Qureshi; Ralph K. Akyea; Stephen Kaptoge; Grazziela P. Figueredo; Blossom Stephan (IEEE Big Data, 2023)

Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules. - Jimiama M. M. Mase; Peter Chapman; Christian Wagner 002; Grazziela P. Figueredo (FUZZ, 2023)

Facial identity protection using deep learning technologies: an application in affective computing. - Jimiama M. M. Mase; Natalie Leesakul; Grazziela P. Figueredo; Mercedes Torres Torres (AI Ethics, 2023)

Deep Learning with Attention Mechanisms for Road Weather Detection. - Madiha Samo; Jimiama Mafeni Mase; Grazziela P. Figueredo (Sensors, 2023)

MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations. - Ruizhe Li 005; Grazziela P. Figueredo; Dorothee Auer; Christian Wagner 002; Xin Chen 003 (ISBI, 2024)

A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (CoRR, 2024)

KemenkeuGPT: Leveraging a Large Language Model on Indonesia's Government Financial Data and Regulations to Enhance Decision Making. - Gilang Fajar Febrian; Grazziela P. Figueredo (CoRR, 2024)

Llettuce: An Open Source Natural Language Processing Tool for the Translation of Medical Terms into Uniform Clinical Encoding. - James Mitchell-White; Reza Omdivar; Esmond Neil Urwin; Karthikeyan Sivakumar; Ruizhe Li 005; Andy Rae; Xiaoyan Wang; Theresia Mina; John Chambers; Grazziela Patrocinio Figueredo; Philip Roy Quinlan (CoRR, 2024)

Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. - Halar Memon; Eskil Gjerde; Alex Lynam; Amiya Chowdhury; Geert De Maere; Grazziela P. Figueredo; Tanvir Hussain (Eng. Appl. Artif. Intell., 2024)

A Review of Intelligent Systems for Driving Risk Assessment. - Jimiama Mafeni Mase; Peter Chapman; Grazziela P. Figueredo (IEEE Trans. Intell. Veh., 2024)

A Unified Framework for Semi-Supervised Image Segmentation and Registration. - Ruizhe Li 005; Grazziela Patrocinio Figueredo; Dorothee Auer; Rob A. Dineen; Paul S. Morgan; Xin Chen 003 (ISBI, 2025)

A survey of deep-learning-based radiology report generation using multimodal inputs. - Xinyi Wang; Grazziela P. Figueredo; Ruizhe Li 005; Wei Emma Zhang; Weitong Chen 001; Xin Chen 003 (Medical Image Anal., 2025)

Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data. - Eduardo Aguilar-Bejarano; Daniel Lea; Karthikeyan Sivakumar; Jimiama Mafeni Mase; Reza Omidvar; Ruizhe Li 005; Troy Kettle; James Mitchell-White; Morgan R. Alexander; David A. Winkler; Grazziela Patrocinio Figueredo (CoRR, 2025)