Items where Author is "Da Costa Abreu, Marjory"

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Number of items: 36.

Article

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MARQUES, Julliana Gonçalves, GUEDES, Luiz Affonso and DA COSTA ABREU, Marjory (2022). Evaluating time influence over performance of machine-learning-based diagnosis: a case study of Covid-19 Pandemic in Brazil. International Journal of Environmental Research and Public Health, 20 (1): 136. [Article]

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NASCIMENTO, Francimara, CAVALCANTI, George and DA COSTA ABREU, Marjory (2022). Unintended bias evaluation: an analysis of hate speech detection and gender bias mitigation on social media using ensemble learning. Expert Systems with Applications, 201: 117032. [Article]

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DOS SANTOS NASCIMENTO, Francimaria Rayanne, SMITH, Stephen and DA COSTA ABREU, Marjory (2022). Exploring Medieval Manuscripts Writer Predictability: A Study on Scribe and Letter Identification. Digital Studies/le champ numérique, 12 (1). [Article]

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DE LIMA, Thales Aguiar and DA COSTA ABREU, Marjory (2022). Phoneme Analysis for Multiple Languages with Fuzzy-Based Speaker Identification. IET Biometrics. [Article]

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DE LIMA, Thales Aguiar and DA COSTA ABREU, Marjory (2022). Phoneme analysis for multiple languages with fuzzy‐based speaker identification. IET Biometrics. [Article]

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DA COSTA ABREU, Marjory and SILVA, Bruno (2020). A critical analysis of ’Law 4.0’: The use of Automation and Artificial Intelligence and their impact on the judicial landscape of Brazil. Revista de Direitos Fundamentais e Tributação, 1 (3), 1-16. [Article]

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GONCALVES DE A. S. MARQUES, Julliana Caroline, LIMA DO NASCIMENTO, Tuany Mariah, VASILJEVIC, Brenda, ALVES DOS SANTOS SANTANA, Laura Emmanuella and DA COSTA ABREU, Marjory (2020). An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach. Journal of the Brazilian Computer Society, 26 (1), p. 8. [Article]

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DA SILVA, Ronnypetson Souza, DA COSTA ABREU, Marjory and SMITH, Stephen (2020). Investigating the use of an ensemble of evolutionary algorithms for letter identification in tremulous medieval handwriting. Evolutionary Intelligence. [Article]

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SILVA, J, KREUTZ, M., PEREIRA, M. and DA COSTA ABREU, Marjory (2019). An investigation of latency prediction for NoC-based communication architectures using machine learning techniques. Journal of Supercomputing, 1-19. [Article]

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DA COSTA ABREU, Marjory and BEZERRA, G.S. (2019). FAMOS: a framework for investigating the use of face features to identify spontaneous emotions. Pattern Analysis and Applications, 22 (2), 683-701. [Article]

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FAIRHURST, M., LI, C. and DA COSTA ABREU, Marjory (2017). Predictive biometrics: A review and analysis of predicting personal characteristics from biometric data. IET Biometrics, 6 (6), 369-378. [Article]

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DA SILVA, VR and DA COSTA ABREU, Marjory (2017). An empirical biometric-based study for user identification from different roles in the online game League of Legends. Proceedings of the III Potiguar Games, Entertainment and Education Meeting, 2117, 1-10. [Article]

DA COSTA ABREU, Marjory and SMITH, Stephen (2017). Using biometric-based identification systems in Brazil: A review on low cost fingerprint techniques on-the-go. Computer Law and Security Review, 33 (5), 629-634. [Article]

Book Section

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AGUIAR, Thales and DA COSTA ABREU, Marjory (2023). Automatic collection of transcribed speech for low resources languages. In: 2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS). IEEE. [Book Section]

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SILVA, Bruno Santos F. and DA COSTA ABREU, Marjory (2022). Exploring bias analysis on judicial data using machine learning techniques. In: 2022 12th International Conference on Pattern Recognition Systems (ICPRS). IEEE. [Book Section]

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AJAO, Oluwaseun, GARG, Ashish and DA COSTA ABREU, Marjory (2022). Exploring content-based and meta-data analysis for detecting fake news infodemic: a case study on COVID-19. In: 2022 12th International Conference of Pattern Recognition Systems (ICPRS 2022). IEEE. [Book Section]

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NASCIMENTO, Tuany Mariah Lima Do, OLIVEIRA, Andrelyne Vitoria Monteiro De, SANTANA, Laura Emmanuella Alves dos Santos and DA COSTA ABREU, Marjory (2021). Investigating the use of feature selection techniques for gender prediction systems based on keystroke dynamics. In: 11th International Conference on Pattern Recognition Systems (ICPRS 2021). IET, 115-120. [Book Section]

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DA COSTA ABREU, Marjory and AGUIAR DE LIMA, T. (2021). Investigating the use of multiple languages for crisp and fuzzy speaker identification. In: 11th International Conference of Pattern Recognition Systems (ICPRS 2021). IET. [Book Section]

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RANNOW BUDKE, Jaine and DA COSTA ABREU, Marjory (2021). Using neural and distance-based machine learning techniques in order to identify genuine and acted emotions from facial expressions. In: 11th International Conference of Pattern Recognition Systems (ICPRS 2021). IET, 121-126. [Book Section]

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ROCHA DE AZEVEDO SANTOS, Luisa, SILLA JR., Carlos and DA COSTA ABREU, Marjory (2021). A methodology for procedural piano music composition with mood templates using genetic algorithms. In: 11th International Conference of Pattern Recognition Systems (ICPRS 2021). IET, 1-6. [Book Section]

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LIMA DO NASCIMENTO, Tuany Maria, ALVES DOS SANTOS SANTANA, Laura Emmanuella and DA COSTA ABREU, Marjory (2021). Fake News on the Covid-19 outbreak: a new metadata-based dataset for the analysis of Brazilian and British Twitter posts. In: E EDUARDO SOUTO, Marco Amaral Henriques, (ed.) 2021: Proceedings of the 21st Brazilian Symposium on Information and Computational Systems Security. SBSeg, 397-402. [Book Section]

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ARAUJO DE SOUZA, Gabriel and DA COSTA ABREU, Marjory (2020). Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata. In: IEEE World Congress on Computational Intelligence (IEEE WCCI). IEEE. [Book Section]

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CAVALCANTE BANDEIRA, D.R., DE PAULA CANUTO, A.M., DA COSTA ABREU, Marjory, FAIRHURST, M., LI, C. and NASCIMENTO, D.S.C. (2019). Investigating the impact of combining handwritten signature and keyboard keystroke dynamics for gender prediction. In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 126-131. [Book Section]

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DA SILVA, V R and DA COSTA ABREU, Marjory (2018). An empirical biometric-based study for user identification with different neural networks in the online game League of Legends. In: 2018 International Joint Conference on Neural Networks (IJCNN) 2018 proceedings. IEEE. [Book Section]

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DA SILVA, V.R., DE ARAÚJOSILVA, J.C.G. and DA COSTA ABREU, Marjory (2018). A new Brazilian hand-based behavioural biometrics database: Data collection and analysis. In: 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). Institution of Engineering and Technology. [Book Section]

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DA SILVA BESERRA, I., CAMARA, L. and DA COSTA ABREU, Marjory (2016). Using keystroke and mouse dynamics for user identification in the online collaborative game League of Legends. In: 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016). Institution of Engineering and Technology. [Book Section]

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DA COSTA ABREU, Marjory, FAIRHURST, M. and ERBILEK, M. (2015). Exploring gender prediction from iris biometrics. In: 2015 International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE. [Book Section]

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ERBILEK, M., FAIRHURST, M. and DA COSTA ABREU, Marjory (2013). Age prediction from iris biometrics. In: 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013). Institution of Engineering and Technology. [Book Section]

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FAIRHURST, M. and DA COSTA ABREU, Marjory (2012). Using keystroke dynamics for gender identification in social network environment. In: 4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011). IET. [Book Section]

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DA COSTA ABREU, Marjory and CANUTO, Anne Magaly P. (2007). An Experimental Study on the Importance of the Choice of the Ensemble Members in Fuzzy Combination Methods. In: Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007). IEEE. [Book Section]

Conference or Workshop Item

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DA COSTA ABREU, Marjory and BRUNO, Silva (2019). An empirical analysis of Brazilian courts law documents using learning techniques. In: XIX Brazilian Symposium on Information and Computational Systems Security, São Paulo, Brazil, 2-5 Sep 2019. Brazilian Computer Society (SBC), 1-7. [Conference or Workshop Item]

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DA COSTA ABREU, Marjory and GONCALVE, Julliana Caroline (2019). An evaluation of a three-modal hand-based database to forensic-based gender recognition. In: 19th Brazilian Symposium on Information and Computer System Security (SBSeg 2019), São Paulo, Brazil, 2-5 Sep 2019. Brazilian Computer Society (SBC), 1-6. [Conference or Workshop Item]

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LIMA DO NASCIMENTO, Tuany Mariah, MONTEIRO DE OLIVEIRA, Andrelyne Vitória, DA COSTA ABREU, Marjory and OLIVEIRA, Laura (2019). An investigation of genetic algorithm-based feature selection techniques applied to keystroke dynamics biometrics. In: 19th Brazilian Symposium on Information and Computer System Security (SBSeg 2019), São Paulo, Brazil, 2-5 Sep 2019. Brazilian Computer Society (SBC), 1-4. [Conference or Workshop Item]

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DA COSTA ABREU, Marjory and PEREIRA, Monica (2019). Women in Resistance: Reporting the impact of IEEEWiEUFRNexhibition at Science and Tech Week at UFRN. In: 39th Brazilian Computer Society Congress (CSBC 2019), Belem, Brazil, 14-18 Jul 2019. Brazilian Computer Society (SBC), 99-103. [Conference or Workshop Item]

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DA COSTA ABREU, Marjory and SILVEIRA SILVA, Raul (2018). Smart Rescue Drones to Find Snowslide Victims. In: 18th Brazilian Symposium on Information and Computational Systems Security (SBSeg 2018), Natal, Brazil, 22-25 Oct 2018. Brazilian Computer Society (SBC), 181-184. [Conference or Workshop Item]

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BITTENCOURT, Valnaide G., DA COSTA ABREU, Marjory, SOUTO, Marcílio C.P. de, COSTA, José Alfredo F. and CANUTO, Anne M.P. (2016). Aplicação de Multiclassificadores Heterogêneos no Reconhecimento de Classes Estruturais de Proteínas. In: VII Brazilian Congress On Neural Networks. SBRN. [Conference or Workshop Item]

This list was generated on Fri Dec 20 16:49:52 2024 UTC.