| 2025 | PST | Comparing Macro and Micro Approaches for Detecting Phishing Where It Spreads. | Mina Erfan, Paula Branco, Guy-Vincent Jourdan |
| 2025 | SP | 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 |
| 2024 | AI | To Label or to Pseudo Label? Active Learning vs Semi-Supervised Learning for Windows Malware Prediction. | Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Grkem Ketenci, Hikmet Mazmanoglu |
| 2024 | AI | SemiS-VFL: A Semi-Supervised Machine Learning Framework for Vertical Federated Learning. | Kun Yan, Paula Branco |
| 2024 | DIS | ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection. | Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Grkem Ketenci, Hikmet Mazmanoglu |
| 2024 | DSAA | AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. | Bernard Atiemo Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap |
| 2024 | DSAA | Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study. | Karanjot Singh Saggu, Paula Branco, Guy-Vincent Jourdan |
| 2024 | PST | DevilDiffusion: Embedding Hidden Noise Backdoors into Diffusion Models. | William Aiken, Paula Branco, Guy-Vincent Jourdan |
| 2023 | AI | Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. | Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco |
| 2023 | AI | TAVo: Tor Application Detection with Voting Critic. | Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, Paula Branco |
| 2023 | AsiaCCS | Going Haywire: False Friends in Federated Learning and How to Find Them. | William Aiken, Paula Branco, Guy-Vincent Jourdan |
| 2023 | DIS | Unsupervised Graph Neural Networks for Source Code Similarity Detection. | Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut |
| 2023 | DIS | Toward Streamlining the Evaluation of Novelty Detection in Data Streams. | Jean-Gabriel Gaudreault, Paula Branco |
| 2023 | DIS | HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. | Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor |
| 2023 | DSAA | 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 |
| 2023 | ESORICS | AddShare: A Privacy-Preserving Approach for Federated Learning. | Bernard Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap |
| 2023 | ICDM | 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 |
| 2023 | ICDM | 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 |
| 2023 | SDM | An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. | Jonatan Mller Nuutinen Gttcke, Colin Bellinger, Paula Branco, Arthur Zimek |
| 2023 | TechDebt | 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 |
| 2022 | AI | DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection. | Salma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag, Paula Branco |
| 2022 | IJCNN | Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. | Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco |
| 2022 | KDD | 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, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2021 | AI | HEAL: Heterogeneous Ensemble and Active Learning Framework. | Anubhav Chhabra, Tirumala Sree Akhil Nandyala, Paula Branco |
| 2021 | DIS | An Analysis of Performance Metrics for Imbalanced Classification. | Jean-Gabriel Gaudreault, Paula Branco, Joo Gama |
| 2021 | DSAA | Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. | Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Lus Torgo |
| 2021 | PST | Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems. | Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan |
| 2019 | DIS | The CURE for Class Imbalance. | Colin Bellinger, Paula Branco, Lus Torgo |
| 2019 | DSAA | A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. | Paula Branco, Lus Torgo |
| 2018 | DIS | MetaUtil: Meta Learning for Utility Maximization in Regression. | Paula Branco, Lus Torgo, Rita P. Ribeiro |
| 2018 | SDM | Cost-Sensitive Learning: Preface. | Lus Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco |
| 2017 | DSAA | Learning Through Utility Optimization in Regression Tasks. | Paula Branco, Lus Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau |
| 2017 | EPIA | Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. | Paula Branco, Lus Torgo, Rita P. Ribeiro |
| 2017 | PAKDD | Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. | Paula Branco, Lus Torgo, Rita P. Ribeiro |
| 2016 | DSAA | Resampling Strategies for Imbalanced Time Series. | Nuno Moniz, Paula Branco, Lus Torgo |
| 2015 | EPIA | Crime Prediction Using Regression and Resources Optimization. | Bruno Cavadas, Paula Branco, Sergio Pereira |
| 2013 | EPIA | SMOTE for Regression. | Lus Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco |