Paula Branco

Jonatan Møller Nuutinen Gøttcke

CoRR, 2023

An Empirical Study on Log-based Anomaly Detection Using Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Measuring Improvement of F<sub>1</sub>-Scores in Detection of Self-Admitted Technical Debt.

[BibT_eX]

[DOI]

CoRR, 2023

Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023

An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems.

[BibT_eX]

[DOI]

Colin Bellinger

Arthur Zimek

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

AddShare: A Privacy-Preserving Approach for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 26th International Conference, 2023

Toward Streamlining the Evaluation of Novelty Detection in Data Streams.

[BibT_eX]

[DOI]

Jean-Gabriel Gaudreault

Proceedings of the Discovery Science - 26th International Conference, 2023

Unsupervised Graph Neural Networks for Source Code Similarity Detection.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 26th International Conference, 2023

Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X.0 Smart Farming Research Fields: A Progress Report.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

First Workshop on Machine Learning Challenges in Cybersecurity.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Going Haywire: False Friends in Federated Learning and How to Find Them.

[BibT_eX]

[DOI]

William Aiken

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

TAVo: Tor Application Detection with Voting Critic.

[BibT_eX]

[DOI]

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Detecting Malicious .NET Files Using CLR Header Features and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

COVID-19 malicious domain names classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Intrusion Detection Using Ensemble Models.

[BibT_eX]

[DOI]

Tina Yazdizadeh

Shabnam Hassani

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem.

[BibT_eX]

[DOI]

Wenglei Wu

Nicholas Kunz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DistSMOGN: Distributed SMOGN for Imbalanced Regression Problems.

[BibT_eX]

[DOI]

Xin Yue Song

Nam Dao

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

4th Workshop on Learning with Imbalanced Domains: Preface.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Dynamic Extraction of BERT-based Embeddings for the Detection of Malicious JavaScript.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection.

[BibT_eX]

[DOI]

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms.

[BibT_eX]

[DOI]

Liyan Chang

CoRR, 2021

Using CGAN to Deal with Class Imbalance and Small Sample Size in Cybersecurity Problems.

[BibT_eX]

[DOI]

Ehsan Nazari

Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

On Oversampling via Generative Adversarial Networks under Different Data Difficulty Factors.

[BibT_eX]

[DOI]

Ehsan Nazari

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

3rd Workshop on Learning with Imbalanced Domains: Preface.

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

An Extensive Comparison of Systems for Entity Extraction from Log Files.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Practice of Security - 14th International Symposium, 2021

Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

An Analysis of Performance Metrics for Imbalanced Classification.

[BibT_eX]

[DOI]

Jean-Gabriel Gaudreault

Tirumala Sree Akhil Nandyala

João Gama

Proceedings of the Discovery Science - 24th International Conference, 2021

HEAL: Heterogeneous Ensemble and Active Learning Framework.

[BibT_eX]

[DOI]

Anubhav Chhabra

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

Exploring the Impact of Resampling Methods for Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Artifact Detection in Invasive Blood Pressure Data using Forecasting Methods and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Pre-processing approaches for imbalanced distributions in regression.

[BibT_eX]

[DOI]

Neurocomputing, 2019

A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

The CURE for Class Imbalance.

[BibT_eX]

[DOI]

Colin Bellinger

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

Utility-based Predictive Analytics

[BibT_eX]

[DOI]

PhD thesis, 2018

Resampling with neighbourhood bias on imbalanced domains.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2018

Cost-Sensitive Learning: Preface.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Cost-Sensitive Learning, 2018

2nd Workshop on Learning with Imbalanced Domains: Preface.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

REBAGG: REsampled BAGGing for Imbalanced Regression.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

MetaUtil: Meta Learning for Utility Maximization in Regression.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

A Framework for Recommendation of Highly Popular News Lacking Social Feedback.

[BibT_eX]

[DOI]

New Gener. Comput., 2017

Resampling strategies for imbalanced time series forecasting.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2017

Learning with Imbalanced Domains: Preface.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Evaluation of Ensemble Methods in Imbalanced Regression Tasks.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

SMOGN: a Pre-processing Approach for Imbalanced Regression.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2017

Learning Through Utility Optimization in Regression Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

A Survey of Predictive Modeling on Imbalanced Domains.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2016

UBL: an R package for Utility-based Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Resampling Strategies for Imbalanced Time Series.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Resampling strategies for regression.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2015

A Survey of Predictive Modelling under Imbalanced Distributions.

[BibT_eX]

[DOI]

CoRR, 2015

Crime Prediction Using Regression and Resources Optimization.

[BibT_eX]

[DOI]

Bruno Cavadas