| 2026 | WWW | SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility. | Xuanyu Su, Diana Inkpen, Nathalie Japkowicz |
| 2025 | ICCS | A Parameter-Free Model for the Online Spread of Far-Right Messages: Combining Agent-Based Models with Large-Language Models. | Stephen Zhong, Nathalie Japkowicz, Frdric Amblard, Philippe J. Giabbanelli |
| 2025 | ICDM | Emergent Racist Terminology Discovery. | Venkata Dhanush Kikkisetti, Suneela Maddineni, Patrick Y. Wu, Nathalie Japkowicz |
| 2025 | MODELS | Do we Still Need People? Comparing Human and LLM Personas in Political Modeling and Simulation. | Stephen Zhong, Nathalie Japkowicz, Philippe J. Giabbanelli |
| 2025 | NAACL | A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation. | Xuanyu Su, Yansong Li, Diana Inkpen, Nathalie Japkowicz |
| 2024 | DSAA | Coded Term Discovery for Online Hate Speech Detection. | Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz |
| 2024 | IJCNN | Attention-Based Medical Knowledge Injection in Deep Image Classification Models. | Yaning Wu, Nathalie Japkowicz, Sbastien Gilbert, Roberto Corizzo |
| 2022 | DIS | Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events. | Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas |
| 2022 | DSAA | Active Lifelong Anomaly Detection with Experience Replay. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz |
| 2022 | IJCNN | Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. | Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco |
| 2022 | IJCNN | LIFEWATCH: Lifelong Wasserstein Change Point Detection. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz |
| 2022 | IJCNN | Machine Learning for Surgical Risk Assessment Decision Systems. | Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz |
| 2022 | KDD | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 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 |
| 2021 | DIS | Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. | Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | DIS | Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. | Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz |
| 2021 | DIS | A Semi-supervised Framework for Misinformation Detection. | Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz |
| 2021 | DIS | The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. | Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tlay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas |
| 2021 | IJCNN | Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. | Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2020 | AI | A Cost Skew Aware Predictive System for Chest Drain Management. | Nicholas J. Denis, Danny French, Sbastien Gilbert, Nathalie Japkowicz |
| 2020 | DIS | One-Class Ensembles for Rare Genomic Sequences Identification. | Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John R. Bracht, Nathalie Japkowicz |
| 2020 | ICPR | Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. | Liming Zhang, Wenbin Zhang, Nathalie Japkowicz |
| 2019 | DSAA | Chest Tube Management After Lung Resection Surgery using a Classifier. | William Klement, Sbastien Gilbert, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz |
| 2019 | ICMLA | Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. | Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz |
| 2019 | ICMLA | Pattern and Anomaly Localization in Complex and Dynamic Data. | Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz |
| 2018 | DSAA | Adaptive Threshold for Outlier Detection on Data Streams. | James Clark, Zhen Liu, Nathalie Japkowicz |
| 2018 | ICDM | Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. | Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaane, Nathalie Japkowicz |
| 2017 | AI | Improving Active Learning for One-Class Classification Using Dimensionality Reduction. | Mohsen Ghazel, Nathalie Japkowicz |
| 2017 | ICDM | Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks. | Zhao Yang, Nathalie Japkowicz |
| 2016 | AI | Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. | Yue Dong, Nathalie Japkowicz |
| 2016 | DSAA | Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks. | Adrian Taylor, Sylvain P. Leblanc, Nathalie Japkowicz |
| 2015 | DSAA | Multi-class learning using data driven ECOC with deep search and re-balancing. | Nathalie Japkowicz, Vincent Barnabe-Lortie, Shawn Horvatic, Jie Zhou |
| 2015 | ICMLA | Active Learning for One-Class Classification. | Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz |
| 2015 | ICMLA | Multi-label Classification of Anemia Patients. | Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor |
| 2015 | ICMLA | Synthetic Oversampling for Advanced Radioactive Threat Detection. | Colin Bellinger, Nathalie Japkowicz, Christopher Drummond |
| 2014 | AI | Ensemble of Multiple Kernel SVM Classifiers. | Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin |
| 2014 | CEC | Vessel track correlation and association using fuzzy logic and Echo State Networks. | Hang Shao, Nathalie Japkowicz, Rami S. Abielmona, Rafael Falcon |
| 2014 | CEC | Automatic Target Recognition using multiple-aspect sonar images. | Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen |
| 2014 | IJCNN | Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection. | Hang Shao, Nathalie Japkowicz |
| 2013 | AI | An Ensemble Method Based on AdaBoost and Meta-Learning. | Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin |
| 2013 | AI | Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. | Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu |
| 2013 | AIED | On the Benefits (or Not) of a Clustering Algorithm in Student Tracking. | Reva Freedman, Nathalie Japkowicz |
| 2013 | ICDM | Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. | Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin |
| 2012 | AI | Mining the Hidden Structure of Inductive Learning Data Sets. | Nathalie Japkowicz |
| 2012 | AI | Anomaly Detection via Coupled Gaussian Kernels. | Guichong Li, Nathalie Japkowicz, Lian Yang |
| 2012 | AI | Applying Least Angle Regression to ELM. | Hang Shao, Nathalie Japkowicz |
| 2012 | AI | Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty. | Shiven Sharma, Colin Bellinger, Nathalie Japkowicz |
| 2012 | ICDM | The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. | Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz |
| 2012 | ICDM | Sampling Online Social Networks Using Coupling from the Past. | Kenton White, Guichong Li, Nathalie Japkowicz |
| 2012 | ICMLA | One-Class versus Binary Classification: Which and When? | Colin Bellinger, Shiven Sharma, Nathalie Japkowicz |
| 2012 | ICMLA | Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. | Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen |
| 2011 | AI | Compact Features for Sentiment Analysis. | Lisa Gaudette, Nathalie Japkowicz |
| 2010 | AI | Robustness of Classifiers to Changing Environments. | Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin |
| 2010 | AI | Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification. | Alexandre Kouznetsov, Nathalie Japkowicz |
| 2010 | AI | Cascading Customized Nave Bayes Couple. | Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar |
| 2010 | AI | Improving Bayesian Learning Using Public Knowledge. | Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin |
| 2009 | ADMA | Instance Selection by Border Sampling in Multi-class Domains. | Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar |
| 2009 | AI | Evaluation Methods for Ordinal Classification. | Lisa Gaudette, Nathalie Japkowicz |
| 2009 | AI | Cost-Based Sampling of Individual Instances. | William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin |
| 2009 | ICML | Workshop summary: The fourth workshop on evaluation methods for machine learning. | Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy |
| 2008 | AI | Assessing the Impact of Changing Environments on Classifier Performance. | Roco Alaz-Rodrguez, Nathalie Japkowicz |
| 2008 | AI | Full Border Identification for Reduction of Training Sets. | Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar |
| 2008 | AI | Using Unsupervised Learning for Network Alert Correlation. | Reuben Smith, Nathalie Japkowicz, Maxwell G. Dondo, Peter Mason |
| 2008 | ICDM | Border Sampling through Coupling Markov Chain Monte Carlo. | Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar |
| 2008 | ISAIM | Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance D. | Nathalie Japkowicz, Pritika Sanghi, Peter E. Tischer |
| 2008 | ICTAI | Visualizing Classifier Performance on Different Domains. | Roco Alaz-Rodrguez, Nathalie Japkowicz, Peter E. Tischer |
| 2008 | ISMIS | Boosting Support Vector Machines for Imbalanced Data Sets. | Benjamin X. Wang, Nathalie Japkowicz |
| 2007 | AAAI | A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. | Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz |
| 2006 | ICDM | A Feature Selection and Evaluation Scheme for Computer Virus Detection. | Olivier Henchiri, Nathalie Japkowicz |
| 2006 | SMC | Three and Four Phase Scenarios for Dynamic Document Organization. | Taeho Jo, Nathalie Japkowicz |
| 2005 | AI | Privacy Compliance Enforcement in Email. | Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz, Stan Matwin |
| 2005 | AI | English to Chinese Translation of Prepositions. | Hui Li, Nathalie Japkowicz, Caroline Barrire |
| 2005 | IJCNN | Text clustering with NTSO (neural text self organizer). | Taeho Jo, Nathalie Japkowicz |
| 2005 | PST | PEEP- Privacy Enforcement in Email Project. | Narjs Boufaden, William Elazmeh, Stan Matwin, Nathalie Japkowicz |
| 2004 | AI | An Automatic Evaluation Framework for Improving a Configurable Text Summarizer. | Los Rigouste, Stan Szpakowicz, Nathalie Japkowicz, Terry Copeck |
| 2003 | AI | Case Authoring from Text and Historical Experiences. | Marvin Zaluski, Nathalie Japkowicz, Stan Matwin |
| 2002 | AI | Text Summarization as Controlled Search. | Terry Copeck, Nathalie Japkowicz, Stan Szpakowicz |
| 2001 | AI | Concept-Learning in the Presence of Between-Class and Within-Class Imbalances. | Nathalie Japkowicz |
| 2001 | AISTATS | Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets. | Adam Nickerson, Nathalie Japkowicz, Evangelos E. Milios |
| 2001 | CoNLL | A mixture-of-experts framework for text classification. | Andrew Estabrooks, Nathalie Japkowicz |
| 2001 | IDA | A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. | Andrew Estabrooks, Nathalie Japkowicz |
| 2000 | AI | A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. | Todd Eavis, Nathalie Japkowicz |
| 1999 | IJCNN | Adaptability of the backpropagation procedure. | Nathalie Japkowicz, Stephen Jose Hanson |
| 1995 | IJCAI | A Novelty Detection Approach to Classification. | Nathalie Japkowicz, Catherine Myers, Mark A. Gluck |
| 1994 | AAAI | Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. | Haym Hirsh, Nathalie Japkowicz |
| 1991 | ACL | A System for Translating Locative Prepositions from English into French. | Nathalie Japkowicz, Janyce Wiebe |