SMOTE for Regression. - Luís Torgo; Rita P. Ribeiro; Bernhard Pfahringer; Paula Branco (EPIA, 2013)

Crime Prediction Using Regression and Resources Optimization. - Bruno Cavadas; Paula Branco; Sergio Pereira (EPIA, 2015)

A Survey of Predictive Modelling under Imbalanced Distributions. - Paula Branco; Luís Torgo; Rita P. Ribeiro (CoRR, 2015)

Resampling strategies for regression. - Luís Torgo; Paula Branco; Rita P. Ribeiro; Bernhard Pfahringer (Expert Syst. J. Knowl. Eng., 2015)

Resampling Strategies for Imbalanced Time Series. - Nuno Moniz; Paula Branco; Luís Torgo (DSAA, 2016)

UBL: an R package for Utility-based Learning. - Paula Branco; Rita P. Ribeiro; Luís Torgo (CoRR, 2016)

A Survey of Predictive Modeling on Imbalanced Domains. - Paula Branco; Luís Torgo; Rita P. Ribeiro (ACM Comput. Surv., 2016)

Learning Through Utility Optimization in Regression Tasks. - Paula Branco; Luís Torgo; Rita P. Ribeiro; Eibe Frank; Bernhard Pfahringer; Markus Michael Rau (DSAA, 2017)

Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. - Paula Branco; Luís Torgo; Rita P. Ribeiro (EPIA, 2017)

Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. - Paula Branco; Luís Torgo; Rita P. Ribeiro (PAKDD (1), 2017)

SMOGN: a Pre-processing Approach for Imbalanced Regression. - Paula Branco; Luís Torgo; Rita P. Ribeiro (LIDTA@PKDD/ECML, 2017)

Evaluation of Ensemble Methods in Imbalanced Regression Tasks. - Nuno Moniz; Paula Branco; Luís Torgo (LIDTA@PKDD/ECML, 2017)

Learning with Imbalanced Domains: Preface. - Luís Torgo; Bartosz Krawczyk; Paula Branco; Nuno Moniz (LIDTA@PKDD/ECML, 2017)

Resampling strategies for imbalanced time series forecasting. - Nuno Moniz; Paula Branco; Luís Torgo (Int. J. Data Sci. Anal., 2017)

A Framework for Recommendation of Highly Popular News Lacking Social Feedback. - Nuno Moniz; Luís Torgo; Magdalini Eirinaki; Paula Branco (New Gener. Comput., 2017)

MetaUtil: Meta Learning for Utility Maximization in Regression. - Paula Branco; Luís Torgo; Rita P. Ribeiro (DS, 2018)

REBAGG: REsampled BAGGing for Imbalanced Regression. - Paula Branco; Luís Torgo; Rita P. Ribeiro (LIDTA@ECML/PKDD, 2018)

2nd Workshop on Learning with Imbalanced Domains: Preface. - Luís Torgo; Stan Matwin; Nathalie Japkowicz; Bartosz Krawczyk; Nuno Moniz; Paula Branco (LIDTA@ECML/PKDD, 2018)

Cost-Sensitive Learning: Preface. - Luís Torgo; Stan Matwin; Gary Weiss 001; Nuno Moniz; Paula Branco (COST@SDM, 2018)

Resampling with neighbourhood bias on imbalanced domains. - Paula Branco; Luís Torgo; Rita P. Ribeiro (Expert Syst. J. Knowl. Eng., 2018)

Utility-based Predictive Analytics - Paula Branco (2018)

The CURE for Class Imbalance. - Colin Bellinger; Paula Branco; Luís Torgo (DS, 2019)

A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. - Paula Branco; Luís Torgo (DSAA, 2019)

Pre-processing approaches for imbalanced distributions in regression. - Paula Branco; Luís Torgo; Rita P. Ribeiro (Neurocomputing, 2019)

Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning. - Mengqi Wu; Paula Branco; Janny Xue Chen Ke; David B. MacDonald (BIBM, 2020)

Exploring the Impact of Resampling Methods for Malware Detection. - Paula Branco (IEEE BigData, 2020)

HEAL: Heterogeneous Ensemble and Active Learning Framework. - Anubhav Chhabra; Tirumala Sree Akhil Nandyala; Paula Branco (Canadian AI, 2021)

An Analysis of Performance Metrics for Imbalanced Classification. - Jean-Gabriel Gaudreault; Paula Branco; João Gama 001 (DS, 2021)

Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. - Mayukh Bhattacharjee; Hema Sri Kambhampati; Paula Branco; Luís Torgo (DSAA, 2021)

An Extensive Comparison of Systems for Entity Extraction from Log Files. - Anubhav Chhabra; Paula Branco; Guy-Vincent Jourdan; Herna L. Viktor (FPS, 2021)

3rd Workshop on Learning with Imbalanced Domains: Preface. - Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak 001; Shuo Wang (LIDTA@ECML/PKDD, 2021)

On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors. - Ehsan Nazari; Paula Branco (LIDTA@ECML/PKDD, 2021)

Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems. - Ehsan Nazari; Paula Branco; Guy-Vincent Jourdan (PST, 2021)

Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. - Liyan Chang; Paula Branco (CoRR, 2021)

DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection. - Salma Elgendy; Mayar Attawiya; Omar Haridy; Ahmed Farag; Paula Branco (Canadian AI, 2022)

Dynamic Extraction of BERT-based Embeddings for the Detection of Malicious JavaScript. - Macarious Abadeer; Behrad Moeini; Emma Sewell; Paula Branco; Felipe Ventura; Wei Shi (CASCON, 2022)

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor; Paula Branco (IJCNN, 2022)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

4th Workshop on Learning with Imbalanced Domains: Preface. - Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak 001; Shuo Wang (LIDTA, 2022)

DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems. - Xin Yue Song; Nam Dao; Paula Branco (LIDTA, 2022)

ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem. - Wenglei Wu; Nicholas Kunz; Paula Branco (ECML/PKDD (6), 2022)

Intrusion Detection Using Ensemble Models. - Tina Yazdizadeh; Shabnam Hassani; Paula Branco (PKDD/ECML Workshops (2), 2022)

COVID-19 malicious domain names classification. - Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Herna L. Viktor (Expert Syst. Appl., 2022)

Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. - Mohammed Hassan; Mohamed Eid; Hossam Elnems; Eslam Ahmed; Ebraam Mesak; Paula Branco (Canadian AI, 2023)

TAVo: Tor Application Detection with Voting Critic. - Gautam Vira; Samik Pal; Behdad Mansouri; Amirhossein Ghadami; Paula Branco (Canadian AI, 2023)

Going Haywire: False Friends in Federated Learning and How to Find Them. - William Aiken; Paula Branco; Guy-Vincent Jourdan (AsiaCCS, 2023)

First Workshop on Machine Learning Challenges in Cybersecurity. - Paula Branco; Nuno Moniz; Guy-Vincent Jourdan (CASCON, 2023)

Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X.0 Smart Farming Research Fields: A Progress Report. - Tet Hin Yeap; Iluju Kiringa; Paula Branco; Patrick Killeen; Ci Lin; Bernard Asare; David Owusu; Futong Li (CASCON, 2023)

Unsupervised Graph Neural Networks for Source Code Similarity Detection. - Julien Cassagne; Ettore Merlo; Paula Branco; Guy-Vincent Jourdan; Iosif-Viorel Onut (DS, 2023)

Toward Streamlining the Evaluation of Novelty Detection in Data Streams. - Jean-Gabriel Gaudreault; Paula Branco (DS, 2023)

HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. - Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Herna L. Viktor (DS, 2023)

Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. - Zhikun Yuen; Paula Branco; Aaron Chew; Guy-Vincent Jourdan; Fabian Lim; Laura Wynter (DSAA, 2023)

AddShare: A Privacy-Preserving Approach for Federated Learning. - Bernard Asare; Paula Branco; Iluju Kiringa; Tet Hin Yeap (ESORICS Workshops (1), 2023)

Evaluating Deep Learning for Cross-Domains Fake News Detection. - Mohammad Q. Alnabhan; Paula Branco (FPS (2), 2023)

Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. - Patrick Killeen; Iluju Kiringa; Tet Hin Yeap; Paula Branco (ICDM (Workshops), 2023)

An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. - Jonatan Møller Nuutinen Gøttcke; Colin Bellinger; Paula Branco; Arthur Zimek (SDM, 2023)

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. - William Aiken; Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Mehrdad Sabetzadeh; Herna L. Viktor (TechDebt@ICSE, 2023)

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. - William Aiken; Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Mehrdad Sabetzadeh; Herna L. Viktor (CoRR, 2023)

An Empirical Study on Log-based Anomaly Detection Using Machine Learning. - Shan Ali; Chaima Boufaied; Domenico Bianculli; Paula Branco; Lionel C. Briand; Nathan Aschbacher (CoRR, 2023)

Generalized Attacks on Face Verification Systems. - Ehsan Nazari; Paula Branco; Guy-Vincent Jourdan (CoRR, 2023)

Automated imbalanced classification via layered learning. - Vítor Cerqueira; Luís Torgo; Paula Branco; Colin Bellinger (Mach. Learn., 2023)

To Label or to Pseudo Label? Active Learning vs Semi-Supervised Learning for Windows Malware Prediction. - Bahar Emami Afshar; Paula Branco; Tolga Kurt; Utku Görkem Ketenci; Hikmet Mazmanoglu (Canadian AI, 2024)

SemiS-VFL: A Semi-Supervised Machine Learning Framework for Vertical Federated Learning. - Kun Yan; Paula Branco (Canadian AI, 2024)

ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection. - Bahar Emami Afshar; Paula Branco; Tolga Kurt; Utku Görkem Ketenci; Hikmet Mazmanoglu (DS (2), 2024)

AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. - Bernard Atiemo Asare; Paula Branco; Iluju Kiringa; Tet Yeap (DSAA, 2024)

Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study. - Karanjot Singh Saggu; Paula Branco; Guy-Vincent Jourdan (DSAA, 2024)

Owned, Pwned or Rented: Whose Domain Is It? - Mina Erfan; Paula Branco; Guy-Vincent Jourdan (eCrime, 2024)

Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-supervised Learning Across Imbalance Scenarios in Financial Crime Detection. - Bahar Emami Afshar; Paula Branco; Tolga Kurt; Utku Görkem Ketenci; Hikmet Mazmanoglu (FPS (2), 2024)

ProFineLlama: A Prompt and Fine-Tuned Transfer Learning Approach for Multi-domain Fake News Detection. - Mohammad Q. Alnabhan; Paula Branco (FPS (1), 2024)

DevilDiffusion: Embedding Hidden Noise Backdoors into Diffusion Models. - William Aiken; Paula Branco; Guy-Vincent Jourdan (PST, 2024)

Strategic Digitalization in Oil and Gas: A Case Study on Mixed Reality and Digital Twins. - William Aiken; Lila Carden; Azmeen Bhabhrawala; Paula Branco; Guy-Vincent Jourdan; Adam Berg (IEEE Access, 2024)

Fake News Detection Using Deep Learning: A Systematic Literature Review. - Mohammad Q. Alnabhan; Paula Branco (IEEE Access, 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. - Janny Xue Chen Ke; Arunachalam DhakshinaMurthy; Ronald B. George; Paula Branco (Discov. Artif. Intell., 2024)

SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media. - Xuanyu Su; Yansong Li; Paula Branco; Diana Inkpen (Nat. Lang. Eng., 2024)

Describe the house and I will tell you the price: House price prediction with textual description data. - Hanxiang Zhang; Yansong Li; Paula Branco (Nat. Lang. Eng., 2024)

Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation. - Patrick Killeen; Iluju Kiringa; Tet Hin Yeap; Paula Branco (Remote. Sens., 2024)

Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detection. - Liyan Chang; Paula Branco (Appl. Intell., 2024)

Empirical analysis of performance assessment for imbalanced classification. - Jean-Gabriel Gaudreault; Paula Branco (Mach. Learn., 2024)

The class imbalance problem in deep learning. - Kushankur Ghosh; Colin Bellinger; Roberto Corizzo; Paula Branco; Bartosz Krawczyk; Nathalie Japkowicz (Mach. Learn., 2024)

BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation. - Mohammad Q. Alnabhan; Paula Branco (Big Data Cogn. Comput., 2024)

A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities. - Jean-Gabriel Gaudreault; Paula Branco (ACM Comput. Surv., 2024)

A Survey on the Applications of Semi-supervised Learning to Cyber-security. - Paul Kiyambu Mvula; Paula Branco; Guy-Vincent Jourdan; Herna Lydia Viktor (ACM Comput. Surv., 2024)

Lost in the Noise: Evading and Detecting Backdoors in Conditional Diffusion Models. - William Aiken; Paula Branco; Guy-Vincent Jourdan (IEA/AIE (1), 2025)

A-REACT: Adaptive Resampling and Active Classification for Thresholded Anomalies. - Mayukh Bhattacharjee; Sankhadeep Chatterjee; Paula Branco; Saranya Bhattacharjee (IEA/AIE (1), 2025)

DistResampleR-Lite: Light Distributed Resampler for Imbalanced Regression Problems. - Alexander De Furia; Anushree Kulai; Paula Branco; Guy-Vincent Jourdan (IEA/AIE (1), 2025)

MediTHIM: Temporal Hierarchical Imputation Methods for Medical Time Series. - Helia Hashemolhosseiny; Paula Branco (IEA/AIE (2), 2025)

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis. - Yansong Li; Paula Branco; Alexander M. Hoole; Manish Marwah; Hari Manassery Koduvely; Guy-Vincent Jourdan; Stephan Jou (SP, 2025)

Architecture and implementation of ulrb algorithm in R. - Francisco Pascoal; Rodrigo Costa; Luís Torgo; Catarina Magalhães; Paula Branco (Ecol. Informatics, 2025)

Advanced IDS: a comparative study of datasets and machine learning algorithms for network flow-based intrusion detection systems. - Jose Carlos Mondragon; Paula Branco; Guy-Vincent Jourdan; Andres Eduardo Gutierrez-Rodriguez; Rajesh Roshan Biswal (Appl. Intell., 2025)

Prioritizing the essential: A robust evaluation framework for novelty detection. - Jean-Gabriel Gaudreault; Paula Branco (Mach. Learn., 2025)

A comprehensive study of machine learning techniques for log-based anomaly detection. - Shan Ali; Chaima Boufaied; Domenico Bianculli; Paula Branco; Lionel C. Briand (Empir. Softw. Eng., 2025)