Paula Branco

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 66

Top Topics

Regression Problems

Novelty Detection

Machine Learning

Imbalanced Data

Top Venues

LIDTA@ECML/PKDD

Publications

Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation. Remote. Sens. 16 (4) (2024)
Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna Lydia Viktor
A Survey on the Applications of Semi-supervised Learning to Cyber-security. ACM Comput. Surv. 56 (10) (2024)
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz
The class imbalance problem in deep learning. Mach. Learn. 113 (7) (2024)
Jean-Gabriel Gaudreault, Paula Branco
A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities. ACM Comput. Surv. 56 (10) (2024)
Jean-Gabriel Gaudreault, Paula Branco
Empirical analysis of performance assessment for imbalanced classification. Mach. Learn. 113 (8) (2024)
Liyan Chang, Paula Branco
Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detection. Appl. Intell. 54 (8) (2024)
William Aiken, Lila Carden, Azmeen Bhabhrawala, Paula Branco, Guy-Vincent Jourdan, Adam Berg
Strategic Digitalization in Oil and Gas: A Case Study on Mixed Reality and Digital Twins. IEEE Access 12 (2024)
Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan
Generalized Attacks on Face Verification Systems. CoRR (2023)
Bernard Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap
AddShare: A Privacy-Preserving Approach for Federated Learning. ESORICS Workshops (1) (2023)
Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. ICDM (2023)
Shan Ali, Chaima Boufaied, Domenico Bianculli, Paula Branco, Lionel C. Briand, Nathan Aschbacher
An Empirical Study on Log-based Anomaly Detection Using Machine Learning. CoRR (2023)
Mohammad Q. Alnabhan, Paula Branco
Evaluating Deep Learning for Cross-Domains Fake News Detection. FPS (2) (2023)
William Aiken, Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
-Scores in Detection of Self-Admitted Technical Debt. CoRR (2023)
William Aiken, Paula Branco, Guy-Vincent Jourdan
Going Haywire: False Friends in Federated Learning and How to Find Them. AsiaCCS (2023)
Jean-Gabriel Gaudreault, Paula Branco
Toward Streamlining the Evaluation of Novelty Detection in Data Streams. DS (2023)
Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, Paula Branco
TAVo: Tor Application Detection with Voting Critic. Canadian AI (2023)
Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
Automated imbalanced classification via layered learning. Mach. Learn. 112 (6) (2023)
Paula Branco, Nuno Moniz, Guy-Vincent Jourdan
First Workshop on Machine Learning Challenges in Cybersecurity. CASCON (2023)
Jonatan Møller Nuutinen Gøttcke, Colin Bellinger, Paula Branco, Arthur Zimek
An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. SDM (2023)
Tet Hin Yeap, Iluju Kiringa, Paula Branco, Patrick Killeen, Ci Lin, Bernard Asare, David Owusu, Futong Li
Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X.0 Smart Farming Research Fields: A Progress Report. CASCON (2023)
William Aiken, Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. TechDebt@ICSE (2023)
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. DS (2023)
Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. ICDM (Workshops) (2023)
Zhikun Yuen, Paula Branco, Aaron Chew, Guy-Vincent Jourdan, Fabian Lim, Laura Wynter
Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. DSAA (2023)
Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut
Unsupervised Graph Neural Networks for Source Code Similarity Detection. DS (2023)
Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco
Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. Canadian AI (2023)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA (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
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD (2022)
Wenglei Wu, Nicholas Kunz, Paula Branco
ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem. ECML/PKDD (6) (2022)
Salma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag, Paula Branco
DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection. AI (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. CoRR (2022)
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
COVID-19 malicious domain names classification. Expert Syst. Appl. 204 (2022)
Macarious Abadeer, Behrad Moeini, Emma Sewell, Paula Branco, Felipe Ventura, Wei Shi
Dynamic Extraction of BERT-based Embeddings for the Detection of Malicious JavaScript. CASCON (2022)
Tina Yazdizadeh, Shabnam Hassani, Paula Branco
Intrusion Detection Using Ensemble Models. PKDD/ECML Workshops (2) (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. IJCNN (2022)
Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
Automated Imbalanced Classification via Layered Learning. CoRR (2022)
Xin Yue Song, Nam Dao, Paula Branco
DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems. LIDTA (2022)
Jean-Gabriel Gaudreault, Paula Branco, João Gama
An Analysis of Performance Metrics for Imbalanced Classification. DS (2021)
Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan
Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems. PST (2021)
Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo
Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. DSAA (2021)
Anubhav Chhabra, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
An Extensive Comparison of Systems for Entity Extraction from Log Files. FPS (2021)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2021)
Ehsan Nazari, Paula Branco
On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors. LIDTA@ECML/PKDD (2021)
Liyan Chang, Paula Branco
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. CoRR (2021)
Anubhav Chhabra, Tirumala Sree Akhil Nandyala, Paula Branco
HEAL: Heterogeneous Ensemble and Active Learning Framework. Canadian Conference on AI (2021)
Mengqi Wu, Paula Branco, Janny Xue Chen Ke, David B. MacDonald
Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning. BIBM (2020)
Paula Branco
Exploring the Impact of Resampling Methods for Malware Detection. IEEE BigData (2020)
Paula Branco, Luís Torgo
A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. DSAA (2019)
Colin Bellinger, Paula Branco, Luís Torgo
The CURE for Class Imbalance. DS (2019)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Pre-processing approaches for imbalanced distributions in regression. Neurocomputing 343 (2019)
Paula Branco, Luís Torgo, Rita P. Ribeiro
MetaUtil: Meta Learning for Utility Maximization in Regression. DS (2018)
Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
Cost-Sensitive Learning: Preface. COST@SDM (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro
REBAGG: REsampled BAGGing for Imbalanced Regression. LIDTA@ECML/PKDD (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Resampling with neighbourhood bias on imbalanced domains. Expert Syst. J. Knowl. Eng. 35 (4) (2018)
Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2018)
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
Learning Through Utility Optimization in Regression Tasks. DSAA (2017)
Nuno Moniz, Paula Branco, Luís Torgo
Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. 3 (3) (2017)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA (2017)
Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35 (4) (2017)
Paula Branco, Luís Torgo, Rita P. Ribeiro
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) (2017)
Paula Branco, Luís Torgo, Rita P. Ribeiro
SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML (2017)
Nuno Moniz, Paula Branco, Luís Torgo
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML (2017)
Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML (2017)
Paula Branco, Rita P. Ribeiro, Luís Torgo
UBL: an R package for Utility-based Learning. CoRR (2016)
Paula Branco, Luís Torgo, Rita P. Ribeiro
A Survey of Predictive Modeling on Imbalanced Domains. ACM Comput. Surv. 49 (2) (2016)
Nuno Moniz, Paula Branco, Luís Torgo
Resampling Strategies for Imbalanced Time Series. DSAA (2016)
Paula Branco, Luís Torgo, Rita P. Ribeiro
A Survey of Predictive Modelling under Imbalanced Distributions. CoRR (2015)
Bruno Cavadas, Paula Branco, Sergio Pereira
Crime Prediction Using Regression and Resources Optimization. EPIA (2015)
Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer
Resampling strategies for regression. Expert Syst. J. Knowl. Eng. 32 (3) (2015)
Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco
SMOTE for Regression. EPIA (2013)