Paula Branco

Orcid: 0000-0002-9917-3694

According to our database1, Paula Branco authored at least 74 papers between 2013 and 2024.

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Bibliography

2024
A Survey on the Applications of Semi-supervised Learning to Cyber-security.
ACM Comput. Surv., October, 2024

A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities.
ACM Comput. Surv., October, 2024

BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation.
Big Data Cogn. Comput., August, 2024

The class imbalance problem in deep learning.
Mach. Learn., July, 2024

Empirical analysis of performance assessment for imbalanced classification.
Mach. Learn., July, 2024

Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detection.
Appl. Intell., April, 2024

Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation.
Remote. Sens., February, 2024

Describe the house and I will tell you the price: House price prediction with textual description data.
Nat. Lang. Eng., 2024

The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal validation in a retrospective cohort.
Discov. Artif. Intell., 2024

Fake News Detection Using Deep Learning: A Systematic Literature Review.
IEEE Access, 2024

Strategic Digitalization in Oil and Gas: A Case Study on Mixed Reality and Digital Twins.
IEEE Access, 2024

Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023
Automated imbalanced classification via layered learning.
Mach. Learn., June, 2023

Generalized Attacks on Face Verification Systems.
CoRR, 2023

An Empirical Study on Log-based Anomaly Detection Using Machine Learning.
CoRR, 2023

Measuring Improvement of F<sub>1</sub>-Scores in Detection of Self-Admitted Technical Debt.
CoRR, 2023

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt.
Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023

An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

Evaluating Deep Learning for Cross-Domains Fake News Detection.
Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023

AddShare: A Privacy-Preserving Approach for Federated Learning.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers.
Proceedings of the Discovery Science - 26th International Conference, 2023

Toward Streamlining the Evaluation of Novelty Detection in Data Streams.
Proceedings of the Discovery Science - 26th International Conference, 2023

Unsupervised Graph Neural Networks for Source Code Similarity Detection.
Proceedings of the Discovery Science - 26th International Conference, 2023

Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X.0 Smart Farming Research Fields: A Progress Report.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

First Workshop on Machine Learning Challenges in Cybersecurity.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Going Haywire: False Friends in Federated Learning and How to Find Them.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

TAVo: Tor Application Detection with Voting Critic.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Detecting Malicious .NET Files Using CLR Header Features and Machine Learning.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022
COVID-19 malicious domain names classification.
Expert Syst. Appl., 2022

Intrusion Detection Using Ensemble Models.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

4th Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.
Proceedings of the International Joint Conference on Neural Networks, 2022

Dynamic Extraction of BERT-based Embeddings for the Detection of Malicious JavaScript.
Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms.
CoRR, 2021

Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems.
Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

3rd Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

An Extensive Comparison of Systems for Entity Extraction from Log Files.
Proceedings of the Foundations and Practice of Security - 14th International Symposium, 2021

Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

An Analysis of Performance Metrics for Imbalanced Classification.
Proceedings of the Discovery Science - 24th International Conference, 2021

HEAL: Heterogeneous Ensemble and Active Learning Framework.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Exploring the Impact of Resampling Methods for Malware Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Pre-processing approaches for imbalanced distributions in regression.
Neurocomputing, 2019

A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

The CURE for Class Imbalance.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Utility-based Predictive Analytics
PhD thesis, 2018

Resampling with neighbourhood bias on imbalanced domains.
Expert Syst. J. Knowl. Eng., 2018

Cost-Sensitive Learning: Preface.
Proceedings of the International Workshop on Cost-Sensitive Learning, 2018

2nd Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

REBAGG: REsampled BAGGing for Imbalanced Regression.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

MetaUtil: Meta Learning for Utility Maximization in Regression.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
A Framework for Recommendation of Highly Popular News Lacking Social Feedback.
New Gener. Comput., 2017

Resampling strategies for imbalanced time series forecasting.
Int. J. Data Sci. Anal., 2017

Learning with Imbalanced Domains: Preface.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Evaluation of Ensemble Methods in Imbalanced Regression Tasks.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

SMOGN: a Pre-processing Approach for Imbalanced Regression.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems.
Proceedings of the Progress in Artificial Intelligence, 2017

Learning Through Utility Optimization in Regression Tasks.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
A Survey of Predictive Modeling on Imbalanced Domains.
ACM Comput. Surv., 2016

UBL: an R package for Utility-based Learning.
CoRR, 2016

Resampling Strategies for Imbalanced Time Series.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
Resampling strategies for regression.
Expert Syst. J. Knowl. Eng., 2015

A Survey of Predictive Modelling under Imbalanced Distributions.
CoRR, 2015

Crime Prediction Using Regression and Resources Optimization.
Proceedings of the Progress in Artificial Intelligence, 2015

2013
SMOTE for Regression.
Proceedings of the Progress in Artificial Intelligence, 2013


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