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ORCIDGrazziela Patrocinio Figueredo
Grazziela P. Figueredo
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2020 – today
- 2024
[j16]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: 107465 (2024)- [c32]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. ISBI 2024: 1-5 - [i19]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 abs/2405.10068 (2024) - [i18]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 abs/2405.12833 (2024) - [i17]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 abs/2407.21459 (2024) - 2023
- [j15]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): 937-946 (2023) - [j14]Madiha Samo, Jimiama Mafeni Mase, Grazziela P. Figueredo:
Deep Learning with Attention Mechanisms for Road Weather Detection. Sensors 23(2): 798 (2023) - [c31]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. IEEE Big Data 2023: 1507-1512 - [c30]Jimiama M. M. Mase, Peter Chapman, Christian Wagner, Grazziela P. Figueredo:
Driving Risk Assessment Using Intervals and Weighted Fuzzy Rules. FUZZ 2023: 1-6 - 2022
- [j13]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: 163-174 (2022) - [c29]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: 1907-1920 - [c28]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: 249-264 - [i16]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 abs/2202.09816 (2022) - [i15]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 abs/2203.04734 (2022) - [i14]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 abs/2208.04343 (2022) - 2021
- [j12]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): 2353-2373 (2021) - [i13]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 abs/2110.11713 (2021) - [i12]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 abs/2111.07344 (2021) - 2020
- [j11]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: 106077 (2020) - [j10]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) - [j9]Giacomo P. Figueredo, Grazziela P. Figueredo:
A Systemic Dynamics Model of Text Production. J. Quant. Linguistics 27(4): 291-320 (2020) - [j8]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): 723 (2020) - [c27]Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres:
A Hybrid Deep Learning Approach for Driver Distraction Detection. ICTC 2020: 1-6 - [c26]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: 1-8 - [c25]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: 1-7 - [c24]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: 1-7 - [c23]Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres:
Benchmarking Deep Learning Models for Driver Distraction Detection. LOD (2) 2020: 103-117 - [c22]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: 637-649 - [i11]Divish Rengasamy, Benjamin Rothwell, Grazziela Patrocinio Figueredo:
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion. CoRR abs/2009.05501 (2020)
2010 – 2019
- 2019
- [j7]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): 434-458 (2019) - [j6]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: 167-174 (2019) - [j5]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): 3324-3336 (2019) - [c21]Grazziela P. Figueredo, Peng Shi, Andrew J. Parkes, Keith Evans, Jonathan M. Garibaldi, Ola Negm, Patrick James Tighe, Herbert F. Sewell, John Robertson:
A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. CEC 2019: 95-102 - [c20]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: 1157-1164 - [c19]Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva:
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. CEC 2019: 1517-1524 - [c18]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: 1-6 - [c17]Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero:
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. ICORES 2019: 406-413 - [c16]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: 2330-2336 - [c15]Divish Rengasamy, Jimiama M. M. Mase, Benjamin Rothwell, Grazziela P. Figueredo:
An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. ITSC 2019: 4210-4215 - 2018
- [c14]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: 1-8 - [c13]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: 144-149 - [c12]Divish Rengasamy, Hervé P. Morvan, Grazziela P. Figueredo:
Deep Learning Approaches to Aircraft Maintenance, Repair and Overhaul: A Review. ITSC 2018: 150-156 - 2017
- [j4]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): 248-258 (2017) - [c11]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: 901-908 - 2016
- [i10]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 abs/1607.05888 (2016) - [i9]Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin:
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. CoRR abs/1607.05895 (2016) - 2015
- [c10]Grazziela P. Figueredo, Philip Roy Quinlan, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John:
A Data Analysis Framework to Rank HGV Drivers. ITSC 2015: 2001-2006 - [c9]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: 128-135 - 2014
- [i8]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 abs/1409.0758 (2014) - 2013
- [j3]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): S6 (2013) - [c8]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: 854-855 - [i7]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 abs/1305.7471 (2013) - [i6]Grazziela P. Figueredo, Uwe Aickelin:
Defining a Simulation Strategy for Cancer Immunocompetence. CoRR abs/1306.2898 (2013) - [i5]Grazziela P. Figueredo, Uwe Aickelin:
Investigating Immune System Aging: System Dynamics and Agent-Based Modeling. CoRR abs/1306.6206 (2013) - [i4]Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers:
Systems Dynamics or Agent-Based Modelling for Immune Simulation? CoRR abs/1307.1390 (2013) - [i3]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan:
A Beginners Guide to Systems Simulation in Immunology. CoRR abs/1307.1597 (2013) - 2012
- [b1]Grazziela P. Figueredo:
Translating simulation approaches for immunology. University of Nottingham, UK, 2012 - [j2]Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Douglas Adriano Augusto, Helio J. C. Barbosa:
An immune-inspired instance selection mechanism for supervised classification. Memetic Comput. 4(2): 135-147 (2012) - [c7]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan:
A Beginner's Guide to Systems Simulation in Immunology. ICARIS 2012: 57-71 - 2011
- [c6]Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers:
Systems Dynamics or Agent-Based Modelling for Immune Simulation? ICARIS 2011: 81-94 - [i2]Grazziela P. Figueredo, Uwe Aickelin:
Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells. CoRR abs/1108.3235 (2011) - 2010
- [c5]Grazziela P. Figueredo, Uwe Aickelin:
Defining a Simulation Strategy for Cancer Immunocompetence. ICARIS 2010: 4-17 - [c4]Grazziela P. Figueredo, Uwe Aickelin:
Investigating immune system aging: system dynamics and agent-based modeling. SummerSim 2010: 174-181 - [i1]Grazziela P. Figueredo, Uwe Aickelin, Amanda M. Whitbrook:
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire. CoRR abs/1004.5215 (2010)
2000 – 2009
- 2008
- [j1]Grazziela Patrocinio Figueredo, Luís Alfredo V. de Carvalho, Helio J. C. Barbosa, Nelson F. F. Ebecken:
Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system. Evol. Intell. 1(2): 133-144 (2008) - 2007
- [c3]Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa:
Suppression based immune mechanism to find arepresentative training set in data classification tasks. GECCO 2007: 171 - [c2]Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa:
The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. ICARIS 2007: 59-70 - 2005
- [c1]Grazziela Patrocinio Figueredo, Luís Alfredo V. de Carvalho, Helio J. C. Barbosa:
Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution. ICNC (2) 2005: 941-944
Coauthor Index
Jimiama Mafeni Mase
aka: Jimiama M. M. Mase
aka: Jimiama M. M. Mase
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last updated on 2024-10-01 20:43 CEST by the dblp team
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