Grazziela P. Figueredo

67 papers A 1B 8C 1Journal 37Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications. Int. J. Medical Informatics Troy Kettle, Tricia M. McKeever, Sherif Gonem, Grazziela P. Figueredo, Ilze Bogdanovica
2026	J	`jnl`	Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation. CoRR Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Xin Chen
2025	J	`jnl`	A Unified Framework for Semi-Supervised Image Segmentation and Registration. CoRR Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Robert A. Dineen, Paul S. Morgan, Xin Chen
2025	J	`jnl`	A survey of deep-learning-based radiology report generation using multimodal inputs. Medical Image Anal. Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
2024	J	`jnl`	A Review of Intelligent Systems for Driving Risk Assessment. IEEE Trans. Intell. Veh. Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo
2024	J	`jnl`	A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. CoRR Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen
2024	J	`jnl`	Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. Eng. Appl. Artif. Intell. Halar Memon, Eskil Gjerde, Alex Lynam, Amiya Chowdhury, Geert De Maere, Grazziela P. Figueredo, Tanvir Hussain
2024	J	`jnl`	KemenkeuGPT: Leveraging a Large Language Model on Indonesia's Government Financial Data and Regulations to Enhance Decision Making. CoRR Gilang Fajar Febrian, Grazziela P. Figueredo
2024	—	`conf`	MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations. ISBI Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen
2024	J	`jnl`	MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations. CoRR Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen
2023	J	`jnl`	Deep Learning with Attention Mechanisms for Road Weather Detection. Sensors Madiha Samo, Jimiama Mafeni Mase, Grazziela P. Figueredo
2023	—	`conf`	Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules. FUZZ Jimiama M. M. Mase, Peter Chapman, Christian Wagner, Grazziela P. Figueredo
2023	B	`conf`	Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis. IEEE Big Data Shreya Iyer, Jacob Brain, Reza Omidvar, Mario Siervo, Nadeem Qureshi, Ralph K. Akyea, Stephen Kaptoge, Grazziela P. Figueredo, Blossom Stephan
2023	J	`jnl`	Facial identity protection using deep learning technologies: an application in affective computing. AI Ethics Jimiama M. M. Mase, Natalie Leesakul, Grazziela P. Figueredo, Mercedes Torres Torres
2022	J	`jnl`	Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding. CoRR Victoria Bell, Divish Rengasamy, Benjamin Rothwell, Grazziela P. Figueredo
2022	J	`jnl`	Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
2022	—	`conf`	EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. LOD (2) Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
2022	J	`jnl`	EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. CoRR Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
2022	A	`conf`	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 Shazmin Majid, Richard Morriss, Grazziela P. Figueredo, Stuart Reeves
2022	J	`jnl`	Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo
2021	J	`jnl`	Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. J. Intell. Manuf. Salomé Sanchez, Divish Rengasamy, Christopher J. Hyde, Grazziela P. Figueredo, Benjamin Rothwell
2021	J	`jnl`	Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. CoRR Divish Rengasamy, Jimiama Mafeni Mase, Mercedes Torres Torres, Benjamin Rothwell, David A. Winkler, Grazziela P. Figueredo
2021	J	`jnl`	Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. CoRR Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres
2020	—	`conf`	A Hybrid Deep Learning Approach for Driver Distraction Detection. ICTC Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
2020	J	`jnl`	A Systemic Dynamics Model of Text Production. J. Quant. Linguistics Giacomo P. Figueredo, Grazziela P. Figueredo
2020	J	`jnl`	An Innovative Approach to Multi-Method Integrated Assessment Modelling of Global Climate Change. J. Artif. Soc. Soc. Simul. Peer-Olaf Siebers, Zhi En Lim, Grazziela P. Figueredo, James Hey
2020	B	`conf`	Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines. IJCNN Divish Rengasamy, Benjamin Rothwell, Grazziela P. Figueredo
2020	—	`conf`	Benchmarking Deep Learning Models for Driver Distraction Detection. LOD (2) Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
2020	—	`conf`	Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
2020	J	`jnl`	Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. Sensors Divish Rengasamy, Mina Jafari, Benjamin Rothwell, Xin Chen, Grazziela P. Figueredo
2020	—	`conf`	Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges. LOD (1) Alexandre Maciel-Guerra, Grazziela P. Figueredo, Jamie Twycross
2020	B	`conf`	Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data. IJCNN Alexandre Maciel-Guerra, Grazziela P. Figueredo, Eliane Marti, Marcos J. C. Alcocer, Jamie Twycross
2020	J	`jnl`	Using agent-based modelling for investigating modal shift: The case of university travel. Comput. Ind. Eng. Olusola Theophilus Faboya, Brendan Ryan, Grazziela P. Figueredo, Peer-Olaf Siebers
2019	B	`conf`	A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. CEC Grazziela P. Figueredo, Peng Shi, Andrew J. Parkes, Keith Evans, Jonathan M. Garibaldi, Ola Negm, Patrick James Tighe, Herbert F. Sewell, John Robertson
2019	C	`conf`	A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. ICORES Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero
2019	—	`conf`	An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. ITSC Divish Rengasamy, Jimiama M. M. Mase, Benjamin Rothwell, Grazziela P. Figueredo
2019	B	`conf`	Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. CEC Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva
2019	B	`conf`	Fuzzy Hot Spot Identification for Big Data: An Initial Approach. FUZZ-IEEE Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Ender Özcan, Mohammad Mesgarpour, Robert I. John
2019	J	`jnl`	Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John
2019	B	`conf`	Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. CEC Alexandre Maciel-Guerra, Grazziela P. Figueredo, Fernando J. Von Zuben, Eliane Marti, Jamie Twycross, Marcos J. C. Alcocer
2019	J	`jnl`	PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. Cogn. Comput. Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Robert I. John
2019	J	`jnl`	Short and Long term predictions of Hospital emergency department attendances. Int. J. Medical Informatics Tahseen Jilani, Gemma Housley, Grazziela P. Figueredo, Pui-Shan Tang, Jim Hatton, Dominick Shaw
2019	—	`conf`	Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. ITSC Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John
2018	B	`conf`	A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. CEC Ning Xue, Dario Landa-Silva, Isaac Triguero, Grazziela P. Figueredo
2018	—	`conf`	Deep Learning Approaches to Aircraft Maintenance, Repair and Overhaul: A Review. ITSC Divish Rengasamy, Hervé P. Morvan, Grazziela P. Figueredo
2018	—	`conf`	Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. ITSC Olusola Theophilus Faboya, Grazziela P. Figueredo, Brendan Ryan, Peer-Olaf Siebers
2017	J	`jnl`	An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. IEEE Trans. Emerg. Top. Comput. Intell. Grazziela P. Figueredo, Isaac Triguero, Mohammad Mesgarpour, Alexandre M. Guerra, Jonathan M. Garibaldi, Robert I. John
2017	—	`conf`	Vehicle Incident Hot Spots Identification: An Approach for Big Data. TrustCom/BigDataSE/ICESS Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John
2016	J	`jnl`	Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. CoRR Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin
2016	J	`jnl`	Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence. CoRR Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda M. Whitbrook, Jonathan M. Garibaldi
2015	—	`conf`	A Data Analysis Framework to Rank HGV Drivers. ITSC Grazziela P. Figueredo, Philip Roy Quinlan, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John
2015	—	`conf`	Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. TrustCom/BigDataSE/ISPA (2) Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin
2014	J	`jnl`	Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer. CoRR Grazziela P. Figueredo, Peer-Olaf Siebers, Markus R. Owen, Jenna Reps, Uwe Aickelin
2013	J	`jnl`	A Beginners Guide to Systems Simulation in Immunology. CoRR Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan
2013	J	`jnl`	Defining a Simulation Strategy for Cancer Immunocompetence. CoRR Grazziela P. Figueredo, Uwe Aickelin
2013	J	`jnl`	Investigating Immune System Aging: System Dynamics and Agent-Based Modeling. CoRR Grazziela P. Figueredo, Uwe Aickelin
2013	J	`jnl`	Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective. CoRR Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin
2013	J	`jnl`	Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. BMC Bioinform. Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin
2013	J	`jnl`	Systems Dynamics or Agent-Based Modelling for Immune Simulation? CoRR Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers
2013	—	`conf`	The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios. ECAL Grazziela P. Figueredo, Peer-Olaf Siebers, Douglas Adriano Augusto, Helio J. C. Barbosa, Uwe Aickelin
2012	—	`conf`	A Beginner's Guide to Systems Simulation in Immunology. ICARIS Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan
2012	—	`—`	Translating simulation approaches for immunology. Grazziela P. Figueredo
2011	J	`jnl`	Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells CoRR Grazziela P. Figueredo, Uwe Aickelin
2011	—	`conf`	Systems Dynamics or Agent-Based Modelling for Immune Simulation? ICARIS Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers
2010	—	`conf`	Defining a Simulation Strategy for Cancer Immunocompetence. ICARIS Grazziela P. Figueredo, Uwe Aickelin
2010	—	`conf`	Investigating immune system aging: system dynamics and agent-based modeling. SummerSim Grazziela P. Figueredo, Uwe Aickelin
2010	J	`jnl`	System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire CoRR Grazziela P. Figueredo, Uwe Aickelin, Amanda M. Whitbrook