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Paula Alexandra de Oliveira Branco. Concluiu o(a) Doutoramento em Informática em 2018 pelo(a) Universidade do Porto Faculdade de Ciências e Mestrado em Ciência de Computadores em 2014 pelo(a) Universidade do Porto Faculdade de Ciências. Publicou 6 artigos em revistas especializadas. Atua na(s) área(s) de Ciências Exatas com ênfase em Ciências da Computação e da Informação.
Identificação

Identificação pessoal

Nome completo
Paula Alexandra de Oliveira Branco

Nomes de citação

  • Branco, Paula

Identificadores de autor

Ciência ID
481A-9D15-A7EB
ORCID iD
0000-0002-9917-3694
Google Scholar ID
https://scholar.google.com/citations?user=lLgQE20AAAAJ&hl=en
Researcher Id
V-2452-2018
Scopus Author Id
55866459900

Endereços de correio eletrónico

  • pbranco@uottawa.ca (Profissional)

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação
Formação
Grau Classificação
2018
Concluído
 Informática (Doutoramento)
Especialização em Sem especialidade
Universidade do Porto Faculdade de Ciências, Portugal
"Utility-based Predictive Analytics" (TESE/DISSERTAÇÃO)
2014
Concluído
 Ciência de Computadores (Mestrado)
Especialização em Área de especialização: Data Mining e Processamento Avançado de Dados
Universidade do Porto Faculdade de Ciências, Portugal
"Re-sampling Approaches for Regression Tasks under Imbalanced Domains" (TESE/DISSERTAÇÃO)
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/01/01 - 2019/12/31 Pós-doutorado (Investigação) Dalhousie University, Canadá

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2020/02/01 - Atual Assistente (Docente Universitário) University of Ottawa, Canadá
Projetos

Projeto

Designação Financiadores
2021/04/01 - 2026/03/31 Machine Learning Methods for Malware Detection
RGPIN-2021-03875
Investigador responsável
Faculty of Engineering, University of Ottawa, Canadá
 Natural Sciences and Engineering Research Council of Canada
Em curso
2021/06/01 - 2023/06/01 “Going beyond pain: Expansion of the JIA Option Map to support young people and their families to manage juvenile idiopathic arthritis in their daily lives
Grant ID: 2021-002
Investigador
Canadian Initiative for Outcomes in Rheumatology Care (CIORA) , Canadá
 Canadian Initiative for Outcomes in Rheumatology Care (CIORA)
Em curso
Produções

Publicações

Artigo em conferência
  1. "An Analysis of Performance Metrics for Imbalanced Classification". 2021.
    10.1007/978-3-030-88942-5_6
  2. Nazari, E; Branco, P; Jourdan, GV. "Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems". 2021.
  3. Bhattacharjee, M; Kambhampati, HS; Branco, P; Torgo, L. "Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms". 2021.
  4. Wu, M; Branco, P; Chen Ke, JX; MacDonald, DB. "Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning". 2020.
  5. Branco, P. "Exploring the Impact of Resampling Methods for Malware Detection". 2020.
  6. Bellinger, C; Branco, P; Torgo, L. "The CURE for Class Imbalance". 2019.
    10.1007/978-3-030-33778-0_1
  7. Branco, P; Torgo, L. "A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks". 2019.
    10.1109/dsaa.2019.00034
  8. Bellinger, C; Branco, P; Torgo, L. "The CURE for Class Imbalance". 2019.
    10.1007/978-3-030-33778-0_1
  9. Branco, P; Torgo, L; Ribeiro, RP. "MetaUtil: Meta Learning for Utility Maximization in Regression". 2018.
    10.1007/978-3-030-01771-2_9
  10. Branco, P; Torgo, L; Ribeiro, RP. "REBAGG: REsampled BAGGing for Imbalanced Regression". 2018.
  11. Torgo, L; Matwin, S; Japkowicz, N; Krawczyk, B; Moniz, N; Branco, P. "2nd Workshop on Learning with Imbalanced Domains: Preface". 2018.
  12. Torgo, L; Matwin, S; Weiss, G; Moniz, N; Branco, P. "Cost-Sensitive Learning: Preface". 2018.
  13. Moniz, N; Branco, P; Torgo, L. "Evaluation of Ensemble Methods in Imbalanced Regression Tasks". 2017.
  14. Branco, P; Torgo, L; Ribeiro, RP. "SMOGN: a Pre-processing Approach for Imbalanced Regression". 2017.
  15. Branco, P; Torgo, L; Ribeiro, RP. "Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems". 2017.
    10.1007/978-3-319-65340-2_42
  16. Branco, Paula; Torgo, Luis; Ribeiro, RitaP.. "Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains". 2017.
    10.1007/978-3-319-57454-7_54
  17. Branco, P; Torgo, L; Ribeiro, RP; Frank, E; Pfahringer, B; Rau, MM. "Learning Through Utility Optimization in Regression Tasks". 2017.
    10.1109/dsaa.2017.63
  18. Moniz, N; Branco, P; Torgo, L. "Resampling Strategies for Imbalanced Time Series". 2016.
    10.1109/dsaa.2016.37
  19. Cavadas, B; Branco, P; Pereira, S. "Crime Prediction Using Regression and Resources Optimization". 2015.
    10.1007/978-3-319-23485-4_51
  20. Torgo, L; Ribeiro, RP; Pfahringer, B; Branco, P. "SMOTE for regression". 2013.
    10.1007/978-3-642-40669-0_33
Artigo em revista
  1. Mohammad Q. Alnabhan; Paula Alexandra de Oliveira Branco. "BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation". Big Data and Cognitive Computing (2024): https://www.mdpi.com/2504-2289/8/8/93.
    10.3390/bdcc8080093
  2. Patrick Killeen; Iluju Kiringa; Tet Yeap; Paula Alexandra de Oliveira Branco. "Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation". Remote Sensing (2024): https://www.mdpi.com/2072-4292/16/4/683.
    10.3390/rs16040683
  3. Ehsan Nazari; Paula Alexandra de Oliveira Branco; Guy-Vincent Jourdan. "AutoGAN: An Automated Human-Out-of-the-Loop Approach for Training Generative Adversarial Networks". Mathematics (2023): https://www.mdpi.com/2227-7390/11/4/977.
    10.3390/math11040977
  4. Yansong Li; Paula Alexandra de Oliveira Branco; Hanxiang Zhang. "Imbalanced Multimodal Attention-Based System for Multiclass House Price Prediction". Mathematics (2022): https://www.mdpi.com/2227-7390/11/1/113.
    10.3390/math11010113
  5. Branco, P; Torgo, L; Ribeiro, RP. "Pre-processing approaches for imbalanced distributions in regression". NEUROCOMPUTING (2019):
    10.1016/j.neucom.2018.11.100
  6. Branco, P; Torgo, L; Ribeiro, RP. "Resampling with neighbourhood bias on imbalanced domains". EXPERT SYSTEMS (2018):
    10.1111/exsy.12311
  7. Moniz, N; Torgo, L; Eirinaki, M; Branco, P. "A Framework for Recommendation of Highly Popular News Lacking Social Feedback". NEW GENERATION COMPUTING (2017):
    10.1007/s00354-017-0019-x
  8. Moniz, N; Branco, P; Torgo, L. "Resampling strategies for imbalanced time series forecasting". I. J. Data Science and Analytics (2017):
    10.1007/s41060-017-0044-3
  9. Branco, P; Torgo, L; Ribeiro, RP. "A Survey of Predictive Modeling on Im balanced Domains". ACM COMPUTING SURVEYS (2016): https://www.authenticus.pt/P-00K-T7B.
    10.1145/2907070
  10. Torgo, L; Branco, P; Ribeiro, RP; Pfahringer, B. "Resampling strategies for regression". EXPERT SYSTEMS (2015):
    10.1111/exsy.12081

Outros

Outra produção
  1. Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. 2021. Chang, L; Branco, P.
  2. Learning with Imbalanced Domains: Preface. 2017. Torgo, L; Krawczyk, B; Branco, P; Moniz, N.
  3. UBL: an R package for Utility-based Learning. 2016. Branco, P; Ribeiro, RP; Torgo, L. https://www.authenticus.pt/P-00K-DVZ.
  4. A Survey of Predictive Modelling under Imbalanced Distributions. 2015. Branco, Paula; Torgo, Luis; Ribeiro, RitaP.. https://www.authenticus.pt/P-00G-6EF.
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2022/01/01 - Atual Semi-supervised Learning in Cybersecurity Problems
Coorientador
Faculty of Engineering, University of Ottawa, Canadá
2022/01/01 - Atual Federated Learning in Smart Farming
Orientador
Faculty of Engineering, University of Ottawa, Canadá
2021/09 - Atual Novelty Detection in cybersecurity Problems
Orientador
2021/05 - Atual A system for automatic information extraction from log files
Orientador
Faculty of Engineering, University of Ottawa, Canadá
2021/01/01 - Atual "Generative Adversarial Networks for Imbalanced Domains"
Orientador
Faculty of Engineering, University of Ottawa, Canadá
2021/01 - Atual Risk Governance Mechanisms in Business-Centric Crowdfunding Platforms
Coorientador
Faculty of Engineering, University of Ottawa, Canadá

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2022/04/08 Cyberbullying Detection using Ensemble Method Saranyanath Kadamgode Puthenveedu (Mestrado)
Carleton University, Canadá
2021/11/15 Towards Algorithmic Identification of Online Scams Emad Badawi (Doutoramento)
Faculty of Engineering, University of Ottawa, Canadá
2021/08/30 A Practical, Lightweight, and Flexible Confinement Framework in eBPF William Findlay (Mestrado)
Carleton University, Canadá
2021/08/18 Learning in the presence of skew and missing labels through online ensembles and meta-reinforcement Parsa Vafaie (Mestrado)
Faculty of Engineering, University of Ottawa, Canadá
2021/01/06 Real-Time Detection of Storage Covert Channels Thomas Sattolo (Mestrado)
Carleton University, Canadá
2020/12/17 High Precision Deep Learning-Based Tabular Data Extraction Ji Chu Jiang (Mestrado)
Faculty of Engineering, University of Ottawa, Canadá
2020/10/05 Aggregated Learning: An Information Theoretic Framework to Learning with Neural Networks Masoumeh Soflaei Shahrbabak (Doutoramento)
Faculty of Engineering, University of Ottawa, Canadá
2020/09/03 Multi-scale Deep Nearest Neighbors Abhijeet Chauhan (Mestrado)
Carleton University, Canadá
2020/07/28 Ethical Detection of Online Influence Campaigns Using Transformer Language Models Evan Crother (Mestrado)
Faculty of Engineering, University of Ottawa, Canadá
2020/04/17 Learning Recommender Systems with Deep Structured Low Rank Matrix Approximation Mahan Niknafs Kermani (Mestrado)
Carleton University, Canadá

Outro júri / avaliação

Descrição da atividade Instituição / Organização
2021/10/08 - Atual Defesa de proposta de tese de doutoramento: "Modular methods for imbalanced multi-class classification" Aluno: Solander Patrício lopes Agostinho MAPi Doctoral Program
2021/05/04 - Atual Defesa de proposta de tese de doutoramento: "Automated Detection of SubstanceUse through Social Mining" Aluno: Doaa Ibrahim Swailum Faculty of Engineering, University of Ottawa, Canadá
2020/05/04 - Atual Defesa de proposta de tese de doutoramento: "Enhancing Text Readability Using Deep Learning Techniques" Aluno: Wejdan Alkaldi Faculty of Engineering, University of Ottawa, Canadá