Grazziela Patrocinio Figueredo
Orcid: 0000-0003-4094-7680
According to our database1,
Grazziela Patrocinio Figueredo
authored at least 57 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
Sensors, January, 2023
Facial identity protection using deep learning technologies: an application in affective computing.
AI Ethics, 2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Neurocomputing, 2022
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding.
CoRR, 2022
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving.
CoRR, 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI.
Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022
2021
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.
J. Intell. Manuf., 2021
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture.
CoRR, 2021
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach.
CoRR, 2021
2020
Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.
Sensors, 2020
An Innovative Approach to Multi-Method Integrated Assessment Modelling of Global Climate Change.
J. Artif. Soc. Soc. Simul., 2020
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion.
CoRR, 2020
Using agent-based modelling for investigating modal shift: The case of university travel.
Comput. Ind. Eng., 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
Int. J. Medical Informatics, 2019
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams.
Cogn. Comput., 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017
2016
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence.
CoRR, 2016
2015
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
2014
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer.
CoRR, 2014
2013
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective.
BMC Bioinform., 2013
The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013
2012
Memetic Comput., 2012
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012
2011
Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells
CoRR, 2011
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011
2010
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire
CoRR, 2010
Proceedings of the SummerSim '10, 2010
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010
2008
Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system.
Evol. Intell., 2008
2007
The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007
Suppression based immune mechanism to find arepresentative training set in data classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2005
Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution.
Proceedings of the Advances in Natural Computation, First International Conference, 2005