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2020 – today
- 2024
[j17]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: 87248-87267 (2024)- [j16]Mohammad Q. Alnabhan, Paula Branco:
Fake News Detection Using Deep Learning: A Systematic Literature Review. IEEE Access 12: 114435-114459 (2024) - [j15]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): 6025-6040 (2024) - [j14]Mohammad Q. Alnabhan, Paula Branco:
BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance Mitigation. Big Data Cogn. Comput. 8(8): 93 (2024) - [j13]Jean-Gabriel Gaudreault, Paula Branco:
A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities. ACM Comput. Surv. 56(10): 243 (2024) - [j12]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): 253 (2024) - [j11]Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz:
The class imbalance problem in deep learning. Mach. Learn. 113(7): 4845-4901 (2024) - [j10]Jean-Gabriel Gaudreault, Paula Branco:
Empirical analysis of performance assessment for imbalanced classification. Mach. Learn. 113(8): 5533-5575 (2024) - [j9]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): 683 (2024) - [c49]Bernard Atiemo Asare, Paula Branco, Iluju Kiringa, Tet Yeap:
AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning. DSAA 2024: 1-10 - [c48]Karanjot Singh Saggu, Paula Branco, Guy-Vincent Jourdan:
Improving GNN-Based Methods for Scam Detection in Bitcoin Transactions - A Practical Case Study. DSAA 2024: 1-10 - 2023
- [j8]Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger:
Automated imbalanced classification via layered learning. Mach. Learn. 112(6): 2083-2104 (2023) - [c47]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 - [c46]Gautam Vira, Samik Pal, Behdad Mansouri, Amirhossein Ghadami, Paula Branco:
TAVo: Tor Application Detection with Voting Critic. Canadian AI 2023 - [c45]William Aiken, Paula Branco, Guy-Vincent Jourdan:
Going Haywire: False Friends in Federated Learning and How to Find Them. AsiaCCS 2023: 593-607 - [c44]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: 245-247 - [c43]Paula Branco, Nuno Moniz, Guy-Vincent Jourdan:
First Workshop on Machine Learning Challenges in Cybersecurity. CASCON 2023: 248-250 - [c42]Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut:
Unsupervised Graph Neural Networks for Source Code Similarity Detection. DS 2023: 535-549 - [c41]Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor:
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. DS 2023: 673-687 - [c40]Jean-Gabriel Gaudreault, Paula Branco:
Toward Streamlining the Evaluation of Novelty Detection in Data Streams. DS 2023: 703-717 - [c39]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: 1-11 - [c38]Bernard Asare, Paula Branco, Iluju Kiringa, Tet Hin Yeap:
AddShare: A Privacy-Preserving Approach for Federated Learning. ESORICS Workshops (1) 2023: 299-309 - [c37]Mohammad Q. Alnabhan, Paula Branco:
Evaluating Deep Learning for Cross-Domains Fake News Detection. FPS (2) 2023: 40-51 - [c36]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: 220-228 - [c35]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: 823-831 - [c34]Jonatan Møller Nuutinen Gøttcke, Colin Bellinger, Paula Branco, Arthur Zimek:
An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. SDM 2023: 253-261 - [c33]William Aiken, Paul Kiyambu 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: 37-41 - [e4]Paria Shirani, Iosif-Viorel Onut, Paula Branco:
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, CASCON 2023, Las Vegas, NV, USA, September 11-14, 2023. ACM 2023 [contents] - [e3]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. Proceedings of Machine Learning Research 241, PMLR 2023 [contents] - [i8]William Aiken, Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor:
Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. CoRR abs/2303.09617 (2023) - [i7]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 abs/2307.16714 (2023) - [i6]Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan:
Generalized Attacks on Face Verification Systems. CoRR abs/2309.05879 (2023) - 2022
- [j7]Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor:
COVID-19 malicious domain names classification. Expert Syst. Appl. 204: 117553 (2022) - [c32]Salma Elgendy, Mayar Attawiya, Omar Haridy, Ahmed Farag, Paula Branco:
DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection. Canadian AI 2022 - [c31]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: 110-119 - [c30]Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco:
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. IJCNN 2022: 1-8 - [c29]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: 4860-4861 - [c28]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA 2022: 1-7 - [c27]Xin Yue Song, Nam Dao, Paula Branco:
DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems. LIDTA 2022: 38-52 - [c26]Tina Yazdizadeh, Shabnam Hassani, Paula Branco:
Intrusion Detection Using Ensemble Models. PKDD/ECML Workshops (2) 2022: 143-158 - [c25]Wenglei Wu, Nicholas Kunz, Paula Branco:
ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem. ECML/PKDD (6) 2022: 645-648 - [e2]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022. Proceedings of Machine Learning Research 183, PMLR 2022 [contents] - [i5]Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco:
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. CoRR abs/2203.07983 (2022) - [i4]Vítor Cerqueira, Luís Torgo, Paula Branco, Colin Bellinger:
Automated Imbalanced Classification via Layered Learning. CoRR abs/2205.02553 (2022) - 2021
- [c24]Anubhav Chhabra, Tirumala Sree Akhil Nandyala, Paula Branco:
HEAL: Heterogeneous Ensemble and Active Learning Framework. Canadian AI 2021 - [c23]Jean-Gabriel Gaudreault, Paula Branco, João Gama:
An Analysis of Performance Metrics for Imbalanced Classification. DS 2021: 67-77 - [c22]Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo:
Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. DSAA 2021: 1-10 - [c21]Anubhav Chhabra, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor:
An Extensive Comparison of Systems for Entity Extraction from Log Files. FPS 2021: 376-392 - [c20]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD 2021: 1-6 - [c19]Ehsan Nazari, Paula Branco:
On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors. LIDTA@ECML/PKDD 2021: 76-89 - [c18]Ehsan Nazari, Paula Branco, Guy-Vincent Jourdan:
Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems. PST 2021: 1-10 - [e1]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021. Proceedings of Machine Learning Research 154, PMLR 2021 [contents] - [i3]Liyan Chang, Paula Branco:
Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms. CoRR abs/2111.13597 (2021) - 2020
- [c17]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: 843-850 - [c16]Paula Branco:
Exploring the Impact of Resampling Methods for Malware Detection. IEEE BigData 2020: 3961-3968
2010 – 2019
- 2019
- [j6]Paula Branco, Luís Torgo, Rita P. Ribeiro:
Pre-processing approaches for imbalanced distributions in regression. Neurocomputing 343: 76-99 (2019) - [c15]Colin Bellinger, Paula Branco, Luís Torgo:
The CURE for Class Imbalance. DS 2019: 3-17 - [c14]Paula Branco, Luís Torgo:
A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. DSAA 2019: 193-202 - 2018
- [b1]Paula Branco:
Utility-based Predictive Analytics. University of Porto, Portugal, 2018 - [j5]Paula Branco, Luís Torgo, Rita P. Ribeiro:
Resampling with neighbourhood bias on imbalanced domains. Expert Syst. J. Knowl. Eng. 35(4) (2018) - [c13]Paula Branco, Luís Torgo, Rita P. Ribeiro:
MetaUtil: Meta Learning for Utility Maximization in Regression. DS 2018: 129-143 - [c12]Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco:
2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD 2018: 1-7 - [c11]Paula Branco, Luís Torgo, Rita P. Ribeiro:
REBAGG: REsampled BAGGing for Imbalanced Regression. LIDTA@ECML/PKDD 2018: 67-81 - [c10]Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco:
Cost-Sensitive Learning: Preface. COST@SDM 2018: 1-3 - 2017
- [j4]Nuno Moniz, Paula Branco, Luís Torgo:
Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. 3(3): 161-181 (2017) - [j3]Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco:
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35(4): 417-450 (2017) - [c9]Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau:
Learning Through Utility Optimization in Regression Tasks. DSAA 2017: 30-39 - [c8]Paula Branco, Luís Torgo, Rita P. Ribeiro:
Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. EPIA 2017: 513-524 - [c7]Paula Branco, Luís Torgo, Rita P. Ribeiro:
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. PAKDD (1) 2017: 698-710 - [c6]Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz:
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML 2017: 1-6 - [c5]Paula Branco, Luís Torgo, Rita P. Ribeiro:
SMOGN: a Pre-processing Approach for Imbalanced Regression. LIDTA@PKDD/ECML 2017: 36-50 - [c4]Nuno Moniz, Paula Branco, Luís Torgo:
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML 2017: 129-140 - 2016
- [j2]Paula Branco, Luís Torgo, Rita P. Ribeiro:
A Survey of Predictive Modeling on Imbalanced Domains. ACM Comput. Surv. 49(2): 31:1-31:50 (2016) - [c3]Nuno Moniz, Paula Branco, Luís Torgo:
Resampling Strategies for Imbalanced Time Series. DSAA 2016: 282-291 - [i2]Paula Branco, Rita P. Ribeiro, Luís Torgo:
UBL: an R package for Utility-based Learning. CoRR abs/1604.08079 (2016) - 2015
- [j1]Luís Torgo, Paula Branco, Rita P. Ribeiro, Bernhard Pfahringer:
Resampling strategies for regression. Expert Syst. J. Knowl. Eng. 32(3): 465-476 (2015) - [c2]Bruno Cavadas, Paula Branco, Sergio Pereira:
Crime Prediction Using Regression and Resources Optimization. EPIA 2015: 513-524 - [i1]Paula Branco, Luís Torgo, Rita P. Ribeiro:
A Survey of Predictive Modelling under Imbalanced Distributions. CoRR abs/1505.01658 (2015) - 2013
- [c1]Luís Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco:
SMOTE for Regression. EPIA 2013: 378-389
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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