Nathalie Japkowicz
Orcid: 0000-0003-1176-1617Affiliations:
- American University, Washington, DC, USA
- University of Ottawa, Canada (former)
According to our database1,
Nathalie Japkowicz
authored at least 174 papers
between 1991 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
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Bibliography
2024
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn., April, 2024
SeGDroid: An Android malware detection method based on sensitive function call graph learning.
Expert Syst. Appl., January, 2024
Monitoring the evolution of antisemitic discourse on extremist social media using BERT.
CoRR, 2024
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media.
CoRR, 2024
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.
IEEE Access, 2024
2023
World Wide Web (WWW), September, 2023
Neural Networks, August, 2023
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion, 2023
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.
IEEE Access, 2023
Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classification.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Knowl. Based Syst., 2022
The validation of chest tube management after lung resection surgery using a random forest classifier.
Int. J. Data Sci. Anal., 2022
Artif. Intell. Rev., 2022
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.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events.
Proceedings of the Discovery Science - 25th International Conference, 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
Proceedings of the Second International Conference on AI-ML Systems, 2022
2021
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines.
Future Gener. Comput. Syst., 2021
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19.
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020
Soft Comput., 2020
Framework for extreme imbalance classification: SWIM - sampling with the majority class.
Knowl. Inf. Syst., 2020
A statistical pattern based feature extraction method on system call traces for anomaly detection.
Inf. Softw. Technol., 2020
Expert Syst. Appl., 2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19.
CoRR, 2020
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.
IEEE Access, 2020
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
Mobile app traffic flow feature extraction and selection for improving classification robustness.
J. Netw. Comput. Appl., 2019
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.
Inf. Sci., 2019
Big Data Res., 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
2018
Mach. Learn., 2018
Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set.
J. Big Data, 2018
Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework.
IEEE Intell. Syst., 2018
IEEE Intell. Syst., 2018
One-class classification - From theory to practice: A case-study in radioactive threat detection.
Expert Syst. Appl., 2018
Comput. Intell., 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Improving Active Learning for One-Class Classification Using Dimensionality Reduction.
Proceedings of the Advances in Artificial Intelligence, 2017
2016
Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach.
Bioinform., 2015
Proceedings of the 2015 World Congress on Industrial Control Systems Security, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images.
J. Artif. Intell. Soft Comput. Res., 2014
Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A multi-view two-level classification method for generalized multi-instance problems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Proceedings of the Advances in Artificial Intelligence, 2014
2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
2012
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012
Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty.
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning.
J. Exp. Theor. Artif. Intell., 2010
Proceedings of the Advances in Artificial Intelligence, 2010
Proceedings of the Advances in Artificial Intelligence, 2010
Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification.
Proceedings of the Advances in Artificial Intelligence, 2010
Proceedings of the Advances in Artificial Intelligence, 2010
2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the Advances in Artificial Intelligence, 2009
Proceedings of the Advances in Artificial Intelligence, 2009
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009
2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance D.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the Advances in Artificial Intelligence , 2008
Proceedings of the Advances in Artificial Intelligence , 2008
Proceedings of the Advances in Artificial Intelligence , 2008
2007
A Unified Framework for Relative Clause Simplification and Relative Pronoun Correction.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007
Proceedings of the Data Mining, 2007
A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.
AI Mag., 2006
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Data Mining, 2006
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
Proceedings of the Third Annual Conference on Privacy, 2005
STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Clustering using an Autoassociator: A Case Study in Network Event Correlation.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2005
Proceedings of the CEAS 2005, 2005
Proceedings of the Advances in Artificial Intelligence, 2005
Proceedings of the Advances in Artificial Intelligence, 2005
2004
Comput. Intell., 2004
Privacy-Preserving Collaborative Association Rule Mining.
Proceedings of the Fourth International Conference on Electronic Business, 2004
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
2003
Proceedings of the Advances in Artificial Intelligence, 2003
2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Mach. Learn., 2001
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001
Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative Research, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
Proceedings of the Advances in Artificial Intelligence, 2001
2000
Proceedings of the Advances in Artificial Intelligence, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999
1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
1994
Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
1991
Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, 1991