Nathalie Japkowicz

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 98

Top Venues

CoRR

ICMLA

IJCNN

Publications

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. 113 (9) (2024)
Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang
SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. 235 (2024)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. IEEE Access 12 (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)
Raza Ul-Mustafa, Nathalie Japkowicz
Monitoring the evolution of antisemitic discourse on extremist social media using BERT. CoRR (2024)
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. 113 (4) (2024)
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media. CoRR (2024)
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
Performance Estimation bias in Class Imbalance with Minority Subconcepts. LIDTA (2023)
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR (2023)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. CoRR (2023)
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
A Semi-Supervised Framework for Misinformation Detection. CoRR (2023)
Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci
HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) 26 (5) (2023)
Nicolas Antonio Cloutier, Nathalie Japkowicz
Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classification. BigData (2023)
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion 89 (2023)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art. CoRR (2023)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. IEEE Access 11 (2023)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
VLAD: Task-agnostic VAE-based lifelong anomaly detection. Neural Networks 165 (2023)
Shoffan Saifullah, Rafal Drezewski, Anton Yudhana, Andri Pranolo, Wilis Kaswijanti, Andiko Putro Suryotomo, Seno Aji Putra, Alin Khaliduzzaman, Anton Satria Prabuwono, Nathalie Japkowicz
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms. CoRR (2023)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
Faithful to Whom? Questioning Interpretability Measures in NLP. CoRR (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)
Roberto Corizzo, Rodrigo Yepez-Lopez, Sébastien Gilbert, Nathalie Japkowicz
LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management. Big Data (2022)
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. 55 (8) (2022)
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. CoRR (2022)
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs (2022)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
Active Lifelong Anomaly Detection with Experience Replay. DSAA (2022)
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR (2022)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. CoRR (2022)
William Klement, Sébastien Gilbert, Virginia F. Resende, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz
The validation of chest tube management after lung resection surgery using a random forest classifier. Int. J. Data Sci. Anal. 13 (3) (2022)
Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas
Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events. DS (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. IJCNN (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. CoRR (2022)
Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz
Machine Learning for Surgical Risk Assessment Decision Systems. IJCNN (2022)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
LIFEWATCH: Lifelong Wasserstein Change Point Detection. IJCNN (2022)
Roberto Corizzo, Michael Baron, Nathalie Japkowicz
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection. Knowl. Based Syst. 247 (2022)
Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. IJCNN (2021)
Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
A Semi-supervised Framework for Misinformation Detection. DS (2021)
Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. DS (2021)
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. IEEE BigData (2021)
Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz
Explainable image analysis for decision support in medical healthcare. IEEE BigData (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)
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. DS (2021)
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
On the combined effect of class imbalance and concept complexity in deep learning. IEEE BigData (2021)
Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS (2021)
Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. Future Gener. Comput. Syst. 120 (2021)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations. CSoNet (2021)
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
On the combined effect of class imbalance and concept complexity in deep learning. CoRR (2021)
Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access 8 (2020)
Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht, Nathalie Japkowicz
One-Class Ensembles for Rare Genomic Sequences Identification. DS (2020)
Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Yongming Cai, Deyu Tang, Xianfa Cai
A statistical pattern based feature extraction method on system call traces for anomaly detection. Inf. Softw. Technol. 126 (2020)
Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Li Liu
A sub-concept-based feature selection method for one-class classification. Soft Comput. 24 (10) (2020)
Zhen Liu, Nathalie Japkowicz, Ruoyu Wang
Subconcept Based One Class Classification Method with Cluster Updating. ICMLC (2020)
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
ReMix: Calibrated Resampling for Class Imbalance in Deep learning. CoRR (2020)
Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. 151 (2020)
Liming Zhang, Wenbin Zhang, Nathalie Japkowicz
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. ICPR (2020)
Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. CoRR (2020)
Jing-Hao Xue, Zhanyu Ma, Manuel Roveri, Nathalie Japkowicz
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Colin Bellinger, Shiven Sharma, Nathalie Japkowicz, Osmar R. Zaïane
Framework for extreme imbalance classification: SWIM - sampling with the majority class. Knowl. Inf. Syst. 62 (3) (2020)
Nicholas J. Denis, Danny French, Sébastien Gilbert, Nathalie Japkowicz
A Cost Skew Aware Predictive System for Chest Drain Management. Canadian Conference on AI (2020)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Towards Ethical Content-Based Detection of Online Influence Campaigns. CoRR (2019)
Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. Inf. Sci. 496 (2019)
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz
Pattern and Anomaly Localization in Complex and Dynamic Data. ICMLA (2019)
Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Res. 16 (2019)
Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Deyu Tang
Adaptive learning on mobile network traffic data. Connect. Sci. 31 (2) (2019)
William Klement, Sébastien Gilbert, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz
Chest Tube Management After Lung Resection Surgery using a Classifier. DSAA (2019)
Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Yongming Cai, Deyu Tang, Xianfa Cai
Mobile app traffic flow feature extraction and selection for improving classification robustness. J. Netw. Comput. Appl. 125 (2019)
Li Liu, Nathalie Japkowicz, Dan Tao, Zhen Liu
Learning with Drift Detection based on k Time Sub-concept Windows. ICCE-TW (2019)
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz
Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. ICMLA (2019)
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
Contextual One-Class Classification in Data Streams. CoRR (2019)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Towards Ethical Content-Based Detection Of Online Influence Campaigns. MLSP (2019)
Daniel Shapiro, Nathalie Japkowicz, Mathieu Lemay, Miodrag Bolic
Fuzzy String Matching with a Deep Neural Network. Appl. Artif. Intell. 32 (1) (2018)
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
Clustering in the Presence of Concept Drift. ECML/PKDD (1) (2018)
Colin Bellinger, Christopher Drummond, Nathalie Japkowicz
Manifold-based synthetic oversampling with manifold conformance estimation. Mach. Learn. 107 (3) (2018)
Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. ICDM (2018)
Yue Dong, Nathalie Japkowicz
Threaded ensembles of autoencoders for stream learning. Comput. Intell. 34 (1) (2018)
Zhao Yang, Nathalie Japkowicz
Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set. J. Big Data 5 (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)
James Clark, Zhen Liu, Nathalie Japkowicz
Adaptive Threshold for Outlier Detection on Data Streams. DSAA (2018)
Shiven Sharma, Anil Somayaji, Nathalie Japkowicz
Learning over subconcepts: Strategies for 1-class classification. Comput. Intell. 34 (2) (2018)
Adrian Taylor, Sylvain Leblanc, Nathalie Japkowicz
Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework. IEEE Intell. Syst. 33 (2) (2018)
Nathalie Japkowicz, Yuval Elovici
Introduction to the Special Issue on Data Mining for Cybersecurity. IEEE Intell. Syst. 33 (2) (2018)
Colin Bellinger, Shiven Sharma, Nathalie Japkowicz
One-class classification - From theory to practice: A case-study in radioactive threat detection. Expert Syst. Appl. 108 (2018)
Colin Bellinger, Shiven Sharma, Osmar R. Zaïane, Nathalie Japkowicz
Sampling a Longer Life: Binary versus One-class classification Revisited. LIDTA@PKDD/ECML (2017)
Nathalie Japkowicz, Stan Matwin
Special issue on discovery science. Mach. Learn. 106 (6) (2017)
Mohsen Ghazel, Nathalie Japkowicz
Improving Active Learning for One-Class Classification Using Dimensionality Reduction. Canadian Conference on AI (2017)
Zhao Yang, Nathalie Japkowicz
Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks. ICDM Workshops (2017)
Nathalie Japkowicz, Farzan Erlik Nowruzi, Robert Laganière
Homography Estimation from Image Pairs with Hierarchical Convolutional Networks. ICCV Workshops (2017)
Colin Bellinger, Christopher Drummond, Nathalie Japkowicz
Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling. ECML/PKDD (1) (2016)
Yue Dong, Nathalie Japkowicz
Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. Canadian Conference on AI (2016)
Adrian Taylor, Sylvain Leblanc, Nathalie Japkowicz
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks. DSAA (2016)
Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor
Multi-label Classification of Anemia Patients. ICMLA (2015)
Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
Meta-MapReduce for scalable data mining. J. Big Data 2 (2015)
Adrian Taylor, Nathalie Japkowicz, Sylvain Leblanc
Frequency-based anomaly detection for the automotive CAN bus. WCICSS (2015)
Colin Bellinger, Nathalie Japkowicz, Christopher Drummond
Synthetic Oversampling for Advanced Radioactive Threat Detection. ICMLA (2015)
Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz
Active Learning for One-Class Classification. ICMLA (2015)
Mohamed A. Ghadie, Nathalie Japkowicz, Theodore J. Perkins
Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach. Bioinform. 31 (16) (2015)
Nathalie Japkowicz, Vincent Barnabe-Lortie, Shawn Horvatic, Jie Zhou
Multi-class learning using data driven ECOC with deep search and re-balancing. DSAA (2015)
Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz
Smoothing gamma ray spectra to improve outlier detection. CISDA (2014)
Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
Ensemble of Multiple Kernel SVM Classifiers. Canadian Conference on AI (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nathalie Japkowicz