Paula Branco - RankMe

104 papers A* 3A 2B 14C 3Misc 3Journal 36Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domains of deception: phishing through the lens of ownership. Comput. Secur. Mina Erfan, Paula Branco, Guy-Vincent Jourdan
2025	—	`ed.`	38th Canadian Conference on Artificial Intelligence, Canadian AI 2025, Calgary, AB, Canada, May 26-29, 2025, Proceedings Canadian AI Paula Branco, Amine Trabelsi, Kristina L. Kupferschmidt, Ulrich Aïvodji, Hussein Al Osman
2025	J	`jnl`	A comprehensive study of machine learning techniques for log-based anomaly detection. Empir. Softw. Eng. Shan Ali, Chaima Boufaied, Domenico Bianculli, Paula Branco, Lionel C. Briand
2025	—	`conf`	A-REACT: Adaptive Resampling and Active Classification for Thresholded Anomalies. IEA/AIE (1) Mayukh Bhattacharjee, Sankhadeep Chatterjee, Paula Branco, Saranya Bhattacharjee
2025	J	`jnl`	Advanced IDS: a comparative study of datasets and machine learning algorithms for network flow-based intrusion detection systems. Appl. Intell. Jose Carlos Mondragon, Paula Branco, Guy-Vincent Jourdan, Andres Eduardo Gutierrez-Rodriguez, Rajesh Roshan Biswal
2025	J	`jnl`	Architecture and implementation of ulrb algorithm in R. Ecol. Informatics Francisco Pascoal, Rodrigo Costa, Luís Torgo, Catarina Magalhães, Paula Branco
2025	C	`conf`	Comparing Macro and Micro Approaches for Detecting Phishing Where It Spreads. PST Mina Erfan, Paula Branco, Guy-Vincent Jourdan
2025	—	`conf`	DistResampleR-Lite: Light Distributed Resampler for Imbalanced Regression Problems. IEA/AIE (1) Alexander De Furia, Anushree Kulai, Paula Branco, Guy-Vincent Jourdan
2025	J	`jnl`	Enhancing TSH-based congenital hypothyroidism screening using machine learning and resampling algorithms. BMC Medical Informatics Decis. Mak. Alexander De Furia, Paula Branco, Matthew Henderson
2025	—	`conf`	Lost in the Noise: Evading and Detecting Backdoors in Conditional Diffusion Models. IEA/AIE (1) William Aiken, Paula Branco, Guy-Vincent Jourdan
2025	—	`conf`	MediTHIM: Temporal Hierarchical Imputation Methods for Medical Time Series. IEA/AIE (2) Helia Hashemolhosseiny, Paula Branco
2025	J	`jnl`	Prioritizing the essential: A robust evaluation framework for novelty detection. Mach. Learn. Jean-Gabriel Gaudreault, Paula Branco
2025	A*	`conf`	SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis. SP Yansong Li, Paula Branco, Alexander M. Hoole, Manish Marwah, Hari Manassery Koduvely, Guy-Vincent Jourdan, Stephan Jou
2025	J	`jnl`	SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis. CoRR Yansong Li, Paula Branco, Alexander M. Hoole, Manish Marwah, Hari Manassery Koduvely, Guy-Vincent Jourdan, Stephan Jou
2025	J	`jnl`	X-HEART: eXplainable heterogeneous log anomaly detection using robust transformers. Knowl. Inf. Syst. Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2024	J	`jnl`	A Survey on the Applications of Semi-supervised Learning to Cyber-security. ACM Comput. Surv. Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna Lydia Viktor
2024	J	`jnl`	A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities. ACM Comput. Surv. Jean-Gabriel Gaudreault, Paula Branco
2024	B	`conf`	AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. DSAA Bernard Atiemo Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap
2024	J	`jnl`	BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation. Big Data Cogn. Comput. Mohammad Q. Alnabhan, Paula Branco
2024	J	`jnl`	Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation. Remote. Sens. Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
2024	J	`jnl`	Describe the house and I will tell you the price: House price prediction with textual description data. Nat. Lang. Eng. Hanxiang Zhang, Yansong Li, Paula Branco
2024	C	`conf`	DevilDiffusion: Embedding Hidden Noise Backdoors into Diffusion Models. PST William Aiken, Paula Branco, Guy-Vincent Jourdan
2024	J	`jnl`	Embedding residuals in graph-based solutions: the E-ResSAGE and E-ResGAT algorithms. A case study in intrusion detection. Appl. Intell. Liyan Chang, Paula Branco
2024	J	`jnl`	Empirical analysis of performance assessment for imbalanced classification. Mach. Learn. Jean-Gabriel Gaudreault, Paula Branco
2024	J	`jnl`	Fake News Detection Using Deep Learning: A Systematic Literature Review. IEEE Access Mohammad Q. Alnabhan, Paula Branco
2024	—	`conf`	ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection. DS (2) Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Görkem Ketenci, Hikmet Mazmanoglu
2024	B	`conf`	Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study. DSAA Karanjot Singh Saggu, Paula Branco, Guy-Vincent Jourdan
2024	—	`conf`	Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-supervised Learning Across Imbalance Scenarios in Financial Crime Detection. FPS (2) Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Görkem Ketenci, Hikmet Mazmanoglu
2024	—	`conf`	Owned, Pwned or Rented: Whose Domain Is It? eCrime Mina Erfan, Paula Branco, Guy-Vincent Jourdan
2024	—	`conf`	ProFineLlama: A Prompt and Fine-Tuned Transfer Learning Approach for Multi-domain Fake News Detection. FPS (1) Mohammad Q. Alnabhan, Paula Branco
2024	J	`jnl`	SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media. Nat. Lang. Eng. Xuanyu Su, Yansong Li, Paula Branco, Diana Inkpen
2024	—	`conf`	SemiS-VFL: A Semi-Supervised Machine Learning Framework for Vertical Federated Learning. Canadian AI Kun Yan, Paula Branco
2024	J	`jnl`	Strategic Digitalization in Oil and Gas: A Case Study on Mixed Reality and Digital Twins. IEEE Access William Aiken, Lila Carden, Azmeen Bhabhrawala, Paula Branco, Guy-Vincent Jourdan, Adam Berg
2024	J	`jnl`	The class imbalance problem in deep learning. Mach. Learn. Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz
2024	J	`jnl`	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. Janny Xue Chen Ke, Arunachalam DhakshinaMurthy, Ronald B. George, Paula Branco
2024	—	`conf`	To Label or to Pseudo Label? Active Learning vs Semi-Supervised Learning for Windows Malware Prediction. Canadian AI Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Görkem Ketenci, Hikmet Mazmanoglu
2023	—	`conf`	AddShare: A Privacy-Preserving Approach for Federated Learning. ESORICS Workshops (1) Bernard Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap
2023	J	`jnl`	An Empirical Study on Log-based Anomaly Detection Using Machine Learning. CoRR Shan Ali, Chaima Boufaied, Domenico Bianculli, Paula Branco, Lionel C. Briand, Nathan Aschbacher
2023	A	`conf`	An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. SDM Jonatan Møller Nuutinen Gøttcke, Colin Bellinger, Paula Branco, Arthur Zimek
2023	B	`conf`	Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. DSAA Zhikun Yuen, Paula Branco, Aaron Chew, Guy-Vincent Jourdan, Fabian Lim, Laura Wynter
2023	J	`jnl`	Automated imbalanced classification via layered learning. Mach. Learn. Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
2023	—	`conf`	Detecting Malicious .NET Files Using CLR Header Features and Machine Learning. Canadian AI Mohammed Hassan, Mohamed Eid, Hossam Elnems, Eslam Ahmed, Ebraam Mesak, Paula Branco
2023	—	`conf`	Evaluating Deep Learning for Cross-Domains Fake News Detection. FPS (2) Mohammad Q. Alnabhan, Paula Branco
2023	—	`ed.`	Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2023	—	`conf`	First Workshop on Machine Learning Challenges in Cybersecurity. CASCON Paula Branco, Nuno Moniz, Guy-Vincent Jourdan
2023	J	`jnl`	Generalized Attacks on Face Verification Systems. CoRR Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan
2023	A	`conf`	Going Haywire: False Friends in Federated Learning and How to Find Them. AsiaCCS William Aiken, Paula Branco, Guy-Vincent Jourdan
2023	B	`conf`	HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. DS Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2023	J	`jnl`	Measuring Improvement of F CoRR William Aiken, Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
2023	—	`conf`	Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. TechDebt@ICSE William Aiken, Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
2023	—	`conf`	Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X.0 Smart Farming Research Fields: A Progress Report. CASCON Tet Hin Yeap, Iluju Kiringa, Paula Branco, Patrick Killeen, Ci Lin, Bernard Asare, David Owusu, Futong Li
2023	—	`ed.`	Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, CASCON 2023, Las Vegas, NV, USA, September 11-14, 2023 CASCON Paria Shirani, Iosif-Viorel Onut, Paula Branco
2023	—	`conf`	TAVo: Tor Application Detection with Voting Critic. Canadian AI Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, Paula Branco
2023	B	`conf`	Toward Streamlining the Evaluation of Novelty Detection in Data Streams. DS Jean-Gabriel Gaudreault, Paula Branco
2023	B	`conf`	Unsupervised Graph Neural Networks for Source Code Similarity Detection. DS Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut
2023	A*	`conf`	Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. ICDM Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
2023	—	`conf`	Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. ICDM (Workshops) Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
2022	A*	`conf`	4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 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
2022	—	`conf`	4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	B	`conf`	Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. IJCNN Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
2022	J	`jnl`	Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. CoRR Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
2022	J	`jnl`	Automated Imbalanced Classification via Layered Learning. CoRR Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger
2022	J	`jnl`	COVID-19 malicious domain names classification. Expert Syst. Appl. Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2022	—	`conf`	DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection. Canadian AI Salma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag, Paula Branco
2022	—	`conf`	DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems. LIDTA Xin Yue Song, Nam Dao, Paula Branco
2022	—	`conf`	Dynamic Extraction of BERT-based Embeddings for the Detection of Malicious JavaScript. CASCON Macarious Abadeer, Behrad Moeini, Emma Sewell, Paula Branco, Felipe Ventura, Wei Shi
2022	—	`ed.`	Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022 LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	—	`conf`	ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem. ECML/PKDD (6) Wenglei Wu, Nicholas Kunz, Paula Branco
2022	—	`conf`	Intrusion Detection Using Ensemble Models. PKDD/ECML Workshops (2) Tina Yazdizadeh, Shabnam Hassani, Paula Branco
2021	—	`conf`	3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	B	`conf`	Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. DSAA Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo
2021	B	`conf`	An Analysis of Performance Metrics for Imbalanced Classification. DS Jean-Gabriel Gaudreault, Paula Branco, João Gama
2021	—	`conf`	An Extensive Comparison of Systems for Entity Extraction from Log Files. FPS Anubhav Chhabra, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2021	J	`jnl`	Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. CoRR Liyan Chang, Paula Branco
2021	—	`conf`	HEAL: Heterogeneous Ensemble and Active Learning Framework. Canadian AI Anubhav Chhabra, Tirumala Sree Akhil Nandyala, Paula Branco
2021	—	`conf`	On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors. LIDTA@ECML/PKDD Ehsan Nazari, Paula Branco
2021	—	`ed.`	Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021 LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	C	`conf`	Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems. PST Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan
2020	—	`conf`	Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning. BIBM Mengqi Wu, Paula Branco, Janny Xue Chen Ke, David B. MacDonald
2020	—	`conf`	Exploring the Impact of Resampling Methods for Malware Detection. IEEE BigData Paula Branco
2019	B	`conf`	A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. DSAA Paula Branco, Luís Torgo
2019	J	`jnl`	Pre-processing approaches for imbalanced distributions in regression. Neurocomputing Paula Branco, Luís Torgo, Rita P. Ribeiro
2019	B	`conf`	The CURE for Class Imbalance. DS Colin Bellinger, Paula Branco, Luís Torgo
2018	—	`conf`	2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2018	—	`conf`	Cost-Sensitive Learning: Preface. COST@SDM Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
2018	B	`conf`	MetaUtil: Meta Learning for Utility Maximization in Regression. DS Paula Branco, Luís Torgo, Rita P. Ribeiro
2018	—	`conf`	REBAGG: REsampled BAGGing for Imbalanced Regression. LIDTA@ECML/PKDD Paula Branco, Luís Torgo, Rita P. Ribeiro
2018	J	`jnl`	Resampling with neighbourhood bias on imbalanced domains. Expert Syst. J. Knowl. Eng. Paula Branco, Luís Torgo, Rita P. Ribeiro
2018	—	`—`	Utility-based Predictive Analytics Paula Branco
2017	J	`jnl`	A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
2017	—	`conf`	Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML Nuno Moniz, Paula Branco, Luís Torgo
2017	Misc	`conf`	Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA Paula Branco, Luís Torgo, Rita P. Ribeiro
2017	B	`conf`	Learning Through Utility Optimization in Regression Tasks. DSAA Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
2017	—	`conf`	Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
2017	—	`conf`	Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) Paula Branco, Luís Torgo, Rita P. Ribeiro
2017	J	`jnl`	Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. Nuno Moniz, Paula Branco, Luís Torgo
2017	—	`conf`	SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML Paula Branco, Luís Torgo, Rita P. Ribeiro
2016	J	`jnl`	A Survey of Predictive Modeling on Imbalanced Domains. ACM Comput. Surv. Paula Branco, Luís Torgo, Rita P. Ribeiro
2016	B	`conf`	Resampling Strategies for Imbalanced Time Series. DSAA Nuno Moniz, Paula Branco, Luís Torgo
2016	J	`jnl`	UBL: an R package for Utility-based Learning. CoRR Paula Branco, Rita P. Ribeiro, Luís Torgo
2015	J	`jnl`	A Survey of Predictive Modelling under Imbalanced Distributions. CoRR Paula Branco, Luís Torgo, Rita P. Ribeiro
2015	Misc	`conf`	Crime Prediction Using Regression and Resources Optimization. EPIA Bruno Cavadas, Paula Branco, Sergio Pereira
2015	J	`jnl`	Resampling strategies for regression. Expert Syst. J. Knowl. Eng. Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer
2013	Misc	`conf`	SMOTE for Regression. EPIA Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco