A System for Translating Locative Prepositions from English into French. - Nathalie Japkowicz; Janyce Wiebe (ACL, 1991)

Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. - Haym Hirsh; Nathalie Japkowicz (AAAI, 1994)

A Novelty Detection Approach to Classification. - Nathalie Japkowicz; Catherine Myers; Mark A. Gluck (IJCAI, 1995)

Adaptability of the backpropagation procedure. - Nathalie Japkowicz; Stephen Jose Hanson (IJCNN, 1999)

A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. - Todd Eavis; Nathalie Japkowicz (AI, 2000)

Nonlinear Autoassociation Is Not Equivalent to PCA. - Nathalie Japkowicz; Stephen Jose Hanson; Mark A. Gluck (Neural Comput., 2000)

Concept-Learning in the Presence of Between-Class and Within-Class Imbalances. - Nathalie Japkowicz (AI, 2001)

Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets. - Adam Nickerson; Nathalie Japkowicz; Evangelos E. Milios (AISTATS, 2001)

Node similarity in networked information spaces. - Wangzhong Lu; Jeannette C. M. Janssen; Evangelos E. Milios; Nathalie Japkowicz (CASCON, 2001)

A mixture-of-experts framework for text classification. - Andrew Estabrooks; Nathalie Japkowicz (CoNLL, 2001)

A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. - Andrew Estabrooks; Nathalie Japkowicz (IDA, 2001)

AAAI 2000 Workshop Reports. - Yves Lespérance; Gerd Wagner 001; William P. Birmingham; Kurt D. Bollacker; Alexander Nareyek; J. Paul Walser; David W. Aha; Timothy W. Finin; Benjamin N. Grosof; Nathalie Japkowicz; Robert Holte; Lise Getoor; et al. (AI Mag., 2001)

Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks. - Nathalie Japkowicz (Mach. Learn., 2001)

Text Summarization as Controlled Search. - Terry Copeck; Nathalie Japkowicz; Stan Szpakowicz (AI, 2002)

The Decision List Machine. - Marina Sokolova; Mario Marchand; Nathalie Japkowicz; John Shawe-Taylor (NIPS, 2002)

The class imbalance problem: A systematic study. - Nathalie Japkowicz; Shaju Stephen (Intell. Data Anal., 2002)

Case Authoring from Text and Historical Experiences. - Marvin Zaluski; Nathalie Japkowicz; Stan Matwin (AI, 2003)

An Automatic Evaluation Framework for Improving a Configurable Text Summarizer. - Loïs Rigouste; Stan Szpakowicz; Nathalie Japkowicz; Terry Copeck (Canadian AI, 2004)

Applying Support Vector Machines to Imbalanced Datasets. - Rehan Akbani; Stephen Kwek; Nathalie Japkowicz (ECML, 2004)

Privacy-Preserving Collaborative Association Rule Mining. - Justin Zhijun Zhan; Stan Matwin; Nathalie Japkowicz; LiWu Chang (ICEB, 2004)

A Multiple Resampling Method for Learning from Imbalanced Data Sets. - Andrew Estabrooks; Taeho Jo 001; Nathalie Japkowicz (Comput. Intell., 2004)

Editorial: special issue on learning from imbalanced data sets. - Nitesh V. Chawla; Nathalie Japkowicz; Aleksander Kotcz (SIGKDD Explor., 2004)

Class imbalances versus small disjuncts. - Taeho Jo 001; Nathalie Japkowicz (SIGKDD Explor., 2004)

Privacy Compliance Enforcement in Email. - Quintin Armour; William Elazmeh; Nour El-Kadri; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2005)

English to Chinese Translation of Prepositions. - Hui Li 003; Nathalie Japkowicz; Caroline Barrière (Canadian AI, 2005)

PEEP- An Information Extraction base approach for Privacy Protection in Email. - Narjès Boufaden; William Elazmeh; Yimin Ma; Stan Matwin; Nour El-Kadri; Nathalie Japkowicz (CEAS, 2005)

Text clustering with NTSO (neural text self organizer). - Taeho Jo 001; Nathalie Japkowicz (IJCNN, 2005)

Clustering using an Autoassociator: A Case Study in Network Event Correlation. - Reuben Smith; Nathalie Japkowicz; Maxwell G. Dondo (IASTED PDCS, 2005)

STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. - Jerffeson Teixeira de Souza; Nathalie Japkowicz; Stan Matwin (PKDD, 2005)

PEEP- Privacy Enforcement in Email Project. - Narjès Boufaden; William Elazmeh; Stan Matwin; Nathalie Japkowicz (PST, 2005)

Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. - Marina Sokolova; Nathalie Japkowicz; Stan Szpakowicz (Australian Conference on Artificial Intelligence, 2006)

AutoCorrel: a neural network event correlation approach. - Maxwell G. Dondo; Nathalie Japkowicz; Reuben Smith (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Evaluating Misclassifications in Imbalanced Data. - William Elazmeh; Nathalie Japkowicz; Stan Matwin (ECML, 2006)

A Feature Selection and Evaluation Scheme for Computer Virus Detection. - Olivier Henchiri; Nathalie Japkowicz (ICDM, 2006)

Three and Four Phase Scenarios for Dynamic Document Organization. - Taeho Jo 001; Nathalie Japkowicz (SMC, 2006)

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. - Wolfgang Achtner; Esma Aïmeur; Sarabjot Singh Anand; Douglas E. Appelt; Naveen Ashish; Tiffany Barnes; Joseph E. Beck; M. Bernardine Dias; Prashant Doshi; Chris Drummond; William Elazmeh; Ariel Felner; et al. (AI Mag., 2006)

Parallelizing Feature Selection. - Jerffeson Teixeira de Souza; Stan Matwin; Nathalie Japkowicz (Algorithmica, 2006)

A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. - Yuval Marom; Ingrid Zukerman; Nathalie Japkowicz (AAAI, 2007)

AutoCorrel II: a neural network event correlation approach. - Maxwell G. Dondo; Peter Mason; Nathalie Japkowicz; Reuben Smith (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

A Unified Framework for Relative Clause Simplification and Relative Pronoun Correction. - Christina George; Nathalie Japkowicz (IC-AI, 2007)

AAAI-07 Workshop Reports. - Sarabjot Singh Anand; Daniel Bahls; Catherina Burghart; Mark H. Burstein; Huajun Chen; John Collins; Thomas G. Dietterich; Jon Doyle; Chris Drummond; William Elazmeh; Christopher W. Geib; Judy Goldsmith; et al. (AI Mag., 2007)

Node similarity in the citation graph. - Wangzhong Lu; Jeannette C. M. Janssen; Evangelos E. Milios; Nathalie Japkowicz; Yongzheng Zhang 001 (Knowl. Inf. Syst., 2007)

Assessing the Impact of Changing Environments on Classifier Performance. - Rocío Alaíz-Rodríguez; Nathalie Japkowicz (Canadian AI, 2008)

Full Border Identification for Reduction of Training Sets. - Guichong Li; Nathalie Japkowicz; Trevor J. Stocki; R. Kurt Ungar (Canadian AI, 2008)

Using Unsupervised Learning for Network Alert Correlation. - Reuben Smith; Nathalie Japkowicz; Maxwell G. Dondo; Peter Mason (Canadian AI, 2008)

Border Sampling through Coupling Markov Chain Monte Carlo. - Guichong Li; Nathalie Japkowicz; Trevor J. Stocki; R. Kurt Ungar (ICDM, 2008)

Visualizing Classifier Performance on Different Domains. - Rocío Alaíz-Rodríguez; Nathalie Japkowicz; Peter E. Tischer (ICTAI (2), 2008)

Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance D. - Nathalie Japkowicz; Pritika Sanghi; Peter E. Tischer (ISAIM, 2008)

A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. - Rocío Alaíz-Rodríguez; Nathalie Japkowicz; Peter E. Tischer (ECML/PKDD (2), 2008)

A Projection-Based Framework for Classifier Performance Evaluation. - Nathalie Japkowicz; Pritika Sanghi; Peter E. Tischer (ECML/PKDD (1), 2008)

Instance Selection by Border Sampling in Multi-class Domains. - Guichong Li; Nathalie Japkowicz; Trevor J. Stocki; R. Kurt Ungar (ADMA, 2009)

Evaluation Methods for Ordinal Classification. - Lisa Gaudette; Nathalie Japkowicz (Canadian AI, 2009)

Cost-Based Sampling of Individual Instances. - William Klement; Peter A. Flach; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2009)

Workshop summary: The fourth workshop on evaluation methods for machine learning. - Chris Drummond; Nathalie Japkowicz; William Klement; Sofus A. Macskassy (ICML, 2009)

Unknown malcode detection and the imbalance problem. - Robert Moskovitch; Dima Stopel; Clint Feher; Nir Nissim; Nathalie Japkowicz; Yuval Elovici (J. Comput. Virol., 2009)

Robustness of Classifiers to Changing Environments. - Houman Abbasian; Chris Drummond; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2010)

Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification. - Alexandre Kouznetsov; Nathalie Japkowicz (Canadian AI, 2010)

Cascading Customized Naïve Bayes Couple. - Guichong Li; Nathalie Japkowicz; Trevor J. Stocki; R. Kurt Ungar (Canadian AI, 2010)

Improving Bayesian Learning Using Public Knowledge. - Farid Seifi; Chris Drummond; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2010)

Warning: statistical benchmarking is addictive. Kicking the habit in machine learning. - Chris Drummond; Nathalie Japkowicz (J. Exp. Theor. Artif. Intell., 2010)

Boosting support vector machines for imbalanced data sets. - Benjamin X. Wang; Nathalie Japkowicz (Knowl. Inf. Syst., 2010)

Compact Features for Sentiment Analysis. - Lisa Gaudette; Nathalie Japkowicz (Canadian AI, 2011)

Motivating the inclusion of meteorological indicators in the CTBT feature-space. - Colin Bellinger; Nathalie Japkowicz (CISDA, 2011)

Smooth Receiver Operating Characteristics (smROC) Curves. - William Klement; Peter A. Flach; Nathalie Japkowicz; Stan Matwin (ECML/PKDD (2), 2011)

Mining the Hidden Structure of Inductive Learning Data Sets. - Nathalie Japkowicz (Canadian AI, 2012)

Anomaly Detection via Coupled Gaussian Kernels. - Guichong Li; Nathalie Japkowicz; Lian Yang (Canadian AI, 2012)

Applying Least Angle Regression to ELM. - Hang Shao 003; Nathalie Japkowicz (Canadian AI, 2012)

Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty. - Shiven Sharma; Colin Bellinger; Nathalie Japkowicz (Canadian AI, 2012)

Anomaly detection in gamma ray spectra: A machine learning perspective. - Shiven Sharma; Colin Bellinger; Nathalie Japkowicz; Rodney Berg; R. Kurt Ungar (CISDA, 2012)

The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. - Daniel K. Antwi; Herna L. Viktor; Nathalie Japkowicz (ICDM Workshops, 2012)

Sampling Online Social Networks Using Coupling from the Past. - Kenton White; Guichong Li; Nathalie Japkowicz (ICDM Workshops, 2012)

One-Class versus Binary Classification: Which and When? - Colin Bellinger; Shiven Sharma; Nathalie Japkowicz (ICMLA (2), 2012)

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. - Xiaoguang Wang 001; Hang Shao 003; Nathalie Japkowicz; Stan Matwin; Xuan Liu 007; Alex Bourque; Bao Nguyen (ICMLA (2), 2012)

An Ensemble Method Based on AdaBoost and Meta-Learning. - Xuan Liu 007; Xiaoguang Wang 001; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2013)

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. - Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz; Xuan Liu 007 (Canadian AI, 2013)

On the Benefits (or Not) of a Clustering Algorithm in Student Tracking. - Reva Freedman; Nathalie Japkowicz (AIED, 2013)

Meta-learning for large scale machine learning with MapReduce. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz (IEEE BigData, 2013)

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (ICDM Workshops, 2013)

Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm. - Houman Abbasian; Chris Drummond; Nathalie Japkowicz; Stan Matwin (ECML/PKDD (3), 2013)

Ensemble of Multiple Kernel SVM Classifiers. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2014)

Applying instance-weighted support vector machines to class imbalanced datasets. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin; Nathalie Japkowicz (IEEE BigData, 2014)

A multi-view two-level classification method for generalized multi-instance problems. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin; Nathalie Japkowicz; Hongyu Guo (IEEE BigData, 2014)

Vessel track correlation and association using fuzzy logic and Echo State Networks. - Hang Shao 003; Nathalie Japkowicz; Rami S. Abielmona; Rafael Falcon (IEEE Congress on Evolutionary Computation, 2014)

Automatic Target Recognition using multiple-aspect sonar images. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin; Bao Nguyen (IEEE Congress on Evolutionary Computation, 2014)

Smoothing gamma ray spectra to improve outlier detection. - Vincent Barnabe-Lortie; Colin Bellinger; Nathalie Japkowicz (CISDA, 2014)

Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection. - Hang Shao 003; Nathalie Japkowicz (IJCNN, 2014)

Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (J. Artif. Intell. Soft Comput. Res., 2014)

Multi-class learning using data driven ECOC with deep search and re-balancing. - Nathalie Japkowicz; Vincent Barnabe-Lortie; Shawn Horvatic; Jie Zhou 023 (DSAA, 2015)

Active Learning for One-Class Classification. - Vincent Barnabe-Lortie; Colin Bellinger; Nathalie Japkowicz (ICMLA, 2015)

Multi-label Classification of Anemia Patients. - Colin Bellinger; Ali Amid; Nathalie Japkowicz; Herna L. Viktor (ICMLA, 2015)

Synthetic Oversampling for Advanced Radioactive Threat Detection. - Colin Bellinger; Nathalie Japkowicz; Christopher Drummond (ICMLA, 2015)

Frequency-based anomaly detection for the automotive CAN bus. - Adrian Taylor; Nathalie Japkowicz; Sylvain P. Leblanc (WCICSS, 2015)

Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach. - Mohamed A. Ghadie; Nathalie Japkowicz; Theodore J. Perkins (Bioinform., 2015)

Meta-MapReduce for scalable data mining. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz (J. Big Data, 2015)

Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. - Yue Dong 002; Nathalie Japkowicz (Canadian AI, 2016)

Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks. - Adrian Taylor; Sylvain P. Leblanc; Nathalie Japkowicz (DSAA, 2016)

Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling. - Colin Bellinger; Christopher Drummond; Nathalie Japkowicz (ECML/PKDD (1), 2016)

Improving Active Learning for One-Class Classification Using Dimensionality Reduction. - Mohsen Ghazel; Nathalie Japkowicz (Canadian AI, 2017)

Homography Estimation from Image Pairs with Hierarchical Convolutional Networks. - Nathalie Japkowicz; Farzan Erlik Nowruzi; Robert Laganière (ICCV Workshops, 2017)

Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks. - Zhao Yang; Nathalie Japkowicz (ICDM Workshops, 2017)

Sampling a Longer Life: Binary versus One-class classification Revisited. - Colin Bellinger; Shiven Sharma; Osmar R. Zaïane; Nathalie Japkowicz (LIDTA@PKDD/ECML, 2017)

Special issue on discovery science. - Nathalie Japkowicz; Stan Matwin (Mach. Learn., 2017)

Adaptive Threshold for Outlier Detection on Data Streams. - James Clark; Zhen Liu 017; Nathalie Japkowicz (DSAA, 2018)

Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. - Shiven Sharma; Colin Bellinger; Bartosz Krawczyk; Osmar R. Zaïane; Nathalie Japkowicz (ICDM, 2018)

Clustering in the Presence of Concept Drift. - Richard Hugh Moulton; Herna L. Viktor; Nathalie Japkowicz; João Gama 001 (ECML/PKDD (1), 2018)

2nd Workshop on Learning with Imbalanced Domains: Preface. - Luís Torgo; Stan Matwin; Nathalie Japkowicz; Bartosz Krawczyk; Nuno Moniz; Paula Branco (LIDTA@ECML/PKDD, 2018)

Fuzzy String Matching with a Deep Neural Network. - Daniel Shapiro; Nathalie Japkowicz; Mathieu Lemay; Miodrag Bolic (Appl. Artif. Intell., 2018)

Threaded ensembles of autoencoders for stream learning. - Yue Dong 002; Nathalie Japkowicz (Comput. Intell., 2018)

Learning over subconcepts: Strategies for 1-class classification. - Shiven Sharma; Anil Somayaji; Nathalie Japkowicz (Comput. Intell., 2018)

One-class classification - From theory to practice: A case-study in radioactive threat detection. - Colin Bellinger; Shiven Sharma; Nathalie Japkowicz (Expert Syst. Appl., 2018)

Introduction to the Special Issue on Data Mining for Cybersecurity. - Nathalie Japkowicz; Yuval Elovici (IEEE Intell. Syst., 2018)

Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework. - Adrian Taylor; Sylvain P. Leblanc; Nathalie Japkowicz (IEEE Intell. Syst., 2018)

Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set. - Zhao Yang; Nathalie Japkowicz (J. Big Data, 2018)

Manifold-based synthetic oversampling with manifold conformance estimation. - Colin Bellinger; Christopher Drummond; Nathalie Japkowicz (Mach. Learn., 2018)

Chest Tube Management After Lung Resection Surgery using a Classifier. - William Klement; Sébastien Gilbert; Donna E. Maziak; Andrew J. E. Seely; Farid M. Shamji; Sudhir R. Sundaresan; Patrick J. Villeneuve; Nathalie Japkowicz (DSAA, 2019)

Learning with Drift Detection based on k Time Sub-concept Windows. - Li Liu; Nathalie Japkowicz; Dan Tao; Zhen Liu 017 (ICCE-TW, 2019)

Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. - Sid Ryan; Roberto Corizzo; Iluju Kiringa; Nathalie Japkowicz (ICMLA, 2019)

Pattern and Anomaly Localization in Complex and Dynamic Data. - Sid Ryan; Roberto Corizzo; Iluju Kiringa; Nathalie Japkowicz (ICMLA, 2019)

Towards Ethical Content-Based Detection Of Online Influence Campaigns. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor (MLSP, 2019)

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. - Roberto Corizzo; Michelangelo Ceci; Nathalie Japkowicz (Big Data Res., 2019)

Adaptive learning on mobile network traffic data. - Zhen Liu 017; Nathalie Japkowicz; Ruoyu Wang 002; Deyu Tang (Connect. Sci., 2019)

Contextual One-Class Classification in Data Streams. - Richard Hugh Moulton; Herna L. Viktor; Nathalie Japkowicz; João Gama 001 (CoRR, 2019)

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. - Ameya Malondkar; Roberto Corizzo; Iluju Kiringa; Michelangelo Ceci; Nathalie Japkowicz (Inf. Sci., 2019)

Mobile app traffic flow feature extraction and selection for improving classification robustness. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Yongming Cai; Deyu Tang; Xianfa Cai (J. Netw. Comput. Appl., 2019)

A Cost Skew Aware Predictive System for Chest Drain Management. - Nicholas J. Denis; Danny French; Sébastien Gilbert; Nathalie Japkowicz (Canadian AI, 2020)

One-Class Ensembles for Rare Genomic Sequences Identification. - Jonathan Kaufmann; Kathryn Asalone; Roberto Corizzo; Colin Saldanha; John R. Bracht; Nathalie Japkowicz (DS, 2020)

Subconcept Based One Class Classification Method with Cluster Updating. - Zhen Liu 017; Nathalie Japkowicz; Ruoyu Wang 002 (ICMLC, 2020)

Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. - Liming Zhang; Wenbin Zhang 002; Nathalie Japkowicz (ICPR, 2020)

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. - Michelangelo Ceci; Roberto Corizzo; Nathalie Japkowicz; Paolo Mignone; Gianvito Pio (IEEE Access, 2020)

Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. - Zois Boukouvalas; Christine Mallinson; Evan Crothers; Nathalie Japkowicz; Aritran Piplai; Sudip Mittal; Anupam Joshi; Tülay Adali (CoRR, 2020)

ReMix: Calibrated Resampling for Class Imbalance in Deep learning. - Colin Bellinger; Roberto Corizzo; Nathalie Japkowicz (CoRR, 2020)

Scalable auto-encoders for gravitational waves detection from time series data. - Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz (Expert Syst. Appl., 2020)

A statistical pattern based feature extraction method on system call traces for anomaly detection. - Zhen Liu 017; Nathalie Japkowicz; Ruoyu Wang 002; Yongming Cai; Deyu Tang; Xianfa Cai (Inf. Softw. Technol., 2020)

Framework for extreme imbalance classification: SWIM - sampling with the majority class. - Colin Bellinger; Shiven Sharma; Nathalie Japkowicz; Osmar R. Zaïane (Knowl. Inf. Syst., 2020)

A sub-concept-based feature selection method for one-class classification. - Zhen Liu 017; Nathalie Japkowicz; Ruoyu Wang 002; Li Liu (Soft Comput., 2020)

Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. - Jing-Hao Xue; Zhanyu Ma; Manuel Roveri; Nathalie Japkowicz (IEEE Trans. Neural Networks Learn. Syst., 2020)

Scalable auto-encoders for gravitational waves detection from time series data. - Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz (Zenodo, 2020)

Explainable image analysis for decision support in medical healthcare. - Roberto Corizzo; Yohan Dauphin; Colin Bellinger; Eftim Zdravevski; Nathalie Japkowicz (IEEE BigData, 2021)

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Michael Baron; Nathalie Japkowicz (IEEE BigData, 2021)

On the combined effect of class imbalance and concept complexity in deep learning. - Kushankur Ghosh; Colin Bellinger; Roberto Corizzo; Bartosz Krawczyk; Nathalie Japkowicz (IEEE BigData, 2021)

Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (CSoNet, 2021)

Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. - Colin Bellinger; Roberto Corizzo; Nathalie Japkowicz (DS, 2021)

Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. - Roberto Corizzo; Michelangelo Ceci; Gianvito Pio; Paolo Mignone; Nathalie Japkowicz (DS, 2021)

A Semi-supervised Framework for Misinformation Detection. - Yueyang Liu; Zois Boukouvalas; Nathalie Japkowicz (DS, 2021)

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; Tülay Adali; Christine Mallinson; Nathalie Japkowicz; Zois Boukouvalas (DS, 2021)

Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. - Bartosz Krawczyk; Colin Bellinger; Roberto Corizzo; Nathalie Japkowicz (IJCNN, 2021)

3rd Workshop on Learning with Imbalanced Domains: Preface. - Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak 001; Shuo Wang (LIDTA@ECML/PKDD, 2021)

Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Deyu Tang; Wenbin Zhang 002; Jie Zhao 011 (Future Gener. Comput. Syst., 2021)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - 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; et al. (AIMLSystems, 2022)

LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management. - Roberto Corizzo; Rodrigo Yepez-Lopez; Sébastien Gilbert; Nathalie Japkowicz (IEEE Big Data, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Alan Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran; Roberto Corizzo; Kamil Faber; Nathalie Japkowicz; Michael Baron; James Seale Smith; et al. (CoLLAs, 2022)

Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events. - Lucas P. Damasceno; Allison Shafer; Nathalie Japkowicz; Charles C. Cavalcante; Zois Boukouvalas (DS, 2022)

Active Lifelong Anomaly Detection with Experience Replay. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (DSAA, 2022)

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor; Paula Branco (IJCNN, 2022)

LIFEWATCH: Lifelong Wasserstein Change Point Detection. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Michael Baron; Nathalie Japkowicz (IJCNN, 2022)

Machine Learning for Surgical Risk Assessment Decision Systems. - Myles Russell; Dylan Russell; Roberto Corizzo; Nathalie Japkowicz (IJCNN, 2022)

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 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

4th Workshop on Learning with Imbalanced Domains: Preface. - Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak 001; Shuo Wang (LIDTA, 2022)

On the joint-effect of class imbalance and overlap: a critical review. - Miriam Seoane Santos; Pedro Henriques Abreu; Nathalie Japkowicz; Alberto Fernández 001; Carlos Soares; Szymon Wilk; João A. M. Santos (Artif. Intell. Rev., 2022)

The validation of chest tube management after lung resection surgery using a random forest classifier. - 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 (Int. J. Data Sci. Anal., 2022)

CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection. - Roberto Corizzo; Michael Baron; Nathalie Japkowicz (Knowl. Based Syst., 2022)

Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classification. - Nicolas Antonio Cloutier; Nathalie Japkowicz (IEEE Big Data, 2023)

Performance Estimation bias in Class Imbalance with Minority Subconcepts. - Colin Bellinger; Roberto Corizzo; Nathalie Japkowicz (LIDTA, 2023)

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. - Evan Crothers; Nathalie Japkowicz; Herna L. Viktor (IEEE Access, 2023)

In BLOOM: Creativity and Affinity in Artificial Lyrics and Art. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (CoRR, 2023)

Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (CoRR, 2023)

Faithful to Whom? Questioning Interpretability Measures in NLP. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (CoRR, 2023)

Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms. - Shoffan Saifullah; Rafal Drezewski; Anton Yudhana; Andri Pranolo; Wilis Kaswijanti; Andiko Putro Suryotomo; Seno Aji Putra; Alin Khaliduzzaman; Anton Satria Prabuwono; Nathalie Japkowicz (CoRR, 2023)

A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. - Miriam Seoane Santos; Pedro Henriques Abreu; Nathalie Japkowicz; Alberto Fernández 001; João A. M. Santos (Inf. Fusion, 2023)

VLAD: Task-agnostic VAE-based lifelong anomaly detection. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (Neural Networks, 2023)

HURI: Hybrid user risk identification in social networks. - Roberto Corizzo; Gianvito Pio; Emanuele Pio Barracchia; Antonio Pellicani; Nathalie Japkowicz; Michelangelo Ceci (World Wide Web (WWW), 2023)

Coded Term Discovery for Online Hate Speech Detection. - Dhanush Kikkisetti; Raza Ul-Mustafa; Wendy Melillo; Roberto Corizzo; Zois Boukouvalas; Jeff Gill; Nathalie Japkowicz (DSAA, 2024)

Attention-Based Medical Knowledge Injection in Deep Image Classification Models. - Yaning Wu; Nathalie Japkowicz; Sébastien Gilbert; Roberto Corizzo (IJCNN, 2024)

Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading. - Evan Crothers; Herna L. Viktor; Nathalie Japkowicz (LOD (1), 2024)

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. - Kamil Faber; Roberto Corizzo; Bartlomiej Sniezynski; Nathalie Japkowicz (IEEE Access, 2024)

Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media. - Dhanush Kikkisetti; Raza Ul-Mustafa; Wendy Melillo; Roberto Corizzo; Zois Boukouvalas; Jeff Gill; Nathalie Japkowicz (CoRR, 2024)

Monitoring the evolution of antisemitic discourse on extremist social media using BERT. - Raza Ul-Mustafa; Nathalie Japkowicz (CoRR, 2024)

HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes. - Xuanyu Su; Yansong Li; Diana Inkpen; Nathalie Japkowicz (CoRR, 2024)

SeGDroid: An Android malware detection method based on sensitive function call graph learning. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Heitor Murilo Gomes; Bitao Peng; Wenbin Zhang 002 (Expert Syst. Appl., 2024)

Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. - Lucas P. Damasceno; Egzona Rexhepi; Allison Shafer; Ian Whitehouse; Nathalie Japkowicz; Charles C. Cavalcante; Roberto Corizzo; Zois Boukouvalas (Mach. Learn., 2024)

The class imbalance problem in deep learning. - Kushankur Ghosh; Colin Bellinger; Roberto Corizzo; Paula Branco; Bartosz Krawczyk; Nathalie Japkowicz (Mach. Learn., 2024)

Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. - Lucas P. Damasceno; Egzona Rexhepi; Allison Shafer; Ian Whitehouse; Nathalie Japkowicz; Charles C. Cavalcante; Roberto Corizzo; Zois Boukouvalas (Mach. Learn., 2024)

From MNIST to ImageNet and back: benchmarking continual curriculum learning. - Kamil Faber; Dominik Zurek; Marcin Pietron; Nathalie Japkowicz; Antonio Vergari; Roberto Corizzo (Mach. Learn., 2024)

A Parameter-Free Model for the Online Spread of Far-Right Messages: Combining Agent-Based Models with Large-Language Models. - Stephen Zhong; Nathalie Japkowicz; Frédéric Amblard; Philippe J. Giabbanelli (ICCS (Workshops 2), 2025)

A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation. - Xuanyu Su; Yansong Li; Diana Inkpen; Nathalie Japkowicz (NAACL (Findings), 2025)

pyCLAD: The universal framework for continual lifelong anomaly detection. - Kamil Faber; Bartlomiej Sniezynski; Nathalie Japkowicz; Roberto Corizzo (SoftwareX, 2025)

Analyzing Islamophobic Discourse Using Semi-Coded Terms and LLMs. - Raza Ul Mustafa; Roi Dupart; Gabrielle Smith; Noman Ashraf; Nathalie Japkowicz (CoRR, 2025)

E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection. - Ahmad Mousavi; Yeganeh Abdollahinejad; Roberto Corizzo; Nathalie Japkowicz; Zois Boukouvalas (CoRR, 2025)