Nathalie Japkowicz

Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu: Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. Canadian Conference on AI 2013: 174-186

Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin: An Ensemble Method Based on AdaBoost and Meta-Learning. Canadian Conference on AI 2013: 278-285

Hang Shao, Nathalie Japkowicz: Applying Least Angle Regression to ELM. Canadian Conference on AI 2012: 170-180

Shiven Sharma, Colin Bellinger, Nathalie Japkowicz: Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty. Canadian Conference on AI 2012: 181-193

Nathalie Japkowicz: Mining the Hidden Structure of Inductive Learning Data Sets. Canadian Conference on AI 2012: 318-324

Guichong Li, Nathalie Japkowicz, Lian Yang: Anomaly Detection via Coupled Gaussian Kernels. Canadian Conference on AI 2012: 343-349

Kenton White, Guichong Li, Nathalie Japkowicz: Sampling Online Social Networks Using Coupling from the Past. ICDM Workshops 2012: 266-272

Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz: The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. ICDM Workshops 2012: 619-628

Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen: Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. ICMLA (2) 2012: 78-82

Colin Bellinger, Shiven Sharma, Nathalie Japkowicz: One-Class versus Binary Classification: Which and When? ICMLA (2) 2012: 102-106

Nathalie Japkowicz, Mohak Shah (Eds.): Evaluating Learning Algorithms: A Classification Perspective. Cambridge University Press 2011, isbn 9780521196000

Lisa Gaudette, Nathalie Japkowicz: Compact Features for Sentiment Analysis. Canadian Conference on AI 2011: 146-157

William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin: Smooth Receiver Operating Characteristics (smROC) Curves. ECML/PKDD (2) 2011: 193-208

Chris Drummond, Nathalie Japkowicz: Warning: statistical benchmarking is addictive. Kicking the habit in machine learning. J. Exp. Theor. Artif. Intell. 22(1): 67-80 (2010)

Benjamin X. Wang, Nathalie Japkowicz: Boosting support vector machines for imbalanced data sets. Knowl. Inf. Syst. 25(1): 1-20 (2010)

Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar: Cascading Customized Naïve Bayes Couple. Canadian Conference on AI 2010: 147-160

Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin: Robustness of Classifiers to Changing Environments. Canadian Conference on AI 2010: 232-243

Alexandre Kouznetsov, Nathalie Japkowicz: Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification. Canadian Conference on AI 2010: 299-303

Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin: Improving Bayesian Learning Using Public Knowledge. Canadian Conference on AI 2010: 348-351

Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici: Unknown malcode detection and the imbalance problem. Journal in Computer Virology 5(4): 295-308 (2009)

Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar: Instance Selection by Border Sampling in Multi-class Domains. ADMA 2009: 209-221

William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin: Cost-Based Sampling of Individual Instances. Canadian Conference on AI 2009: 86-97

Lisa Gaudette, Nathalie Japkowicz: Evaluation Methods for Ordinal Classification. Canadian Conference on AI 2009: 207-210

Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy: Workshop summary: The fourth workshop on evaluation methods for machine learning. ICML 2009: 167

Yong Gao, Nathalie Japkowicz (Eds.): Advances in Artificial Intelligence, 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009, Proceedings. Lecture Notes in Computer Science 5549, Springer 2009, isbn 978-3-642-01817-6

Rocío Alaíz-Rodríguez, Nathalie Japkowicz: Assessing the Impact of Changing Environments on Classifier Performance. Canadian Conference on AI 2008: 13-24

Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar: Full Border Identification for Reduction of Training Sets. Canadian Conference on AI 2008: 203-215

Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, Peter Mason: Using Unsupervised Learning for Network Alert Correlation. Canadian Conference on AI 2008: 308-319

Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar: Border Sampling through Coupling Markov Chain Monte Carlo. ICDM 2008: 393-402

Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer: Visualizing Classifier Performance on Different Domains. ICTAI (2) 2008: 3-10

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

Benjamin X. Wang, Nathalie Japkowicz: Boosting Support Vector Machines for Imbalanced Data Sets. ISMIS 2008: 38-47

Nathalie Japkowicz, Pritika Sanghi, Peter E. Tischer: A Projection-Based Framework for Classifier Performance Evaluation. ECML/PKDD (1) 2008: 548-563

Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer: A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. ECML/PKDD (2) 2008: 660-665

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, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman: AAAI-07 Workshop Reports. AI Magazine 28(4): 119-128 (2007)

Wangzhong Lu, Jeannette C. M. Janssen, Evangelos E. Milios, Nathalie Japkowicz, Yongzheng Zhang: Node similarity in the citation graph. Knowl. Inf. Syst. 11(1): 105-129 (2007)

Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz: A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. AAAI 2007: 907-912

Christina George, Nathalie Japkowicz: A Unified Framework for Relative Clause Simplification and Relative Pronoun Correction. IC-AI 2007: 602-608

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve Young, Dmitry Zelenko: Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Magazine 27(4): 92-102 (2006)

Jerffeson Teixeira de Souza, Stan Matwin, Nathalie Japkowicz: Parallelizing Feature Selection. Algorithmica 45(3): 433-456 (2006)

Marina Sokolova, Nathalie Japkowicz, Stan Szpakowicz: Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. Australian Conference on Artificial Intelligence 2006: 1015-1021

William Elazmeh, Nathalie Japkowicz, Stan Matwin: Evaluating Misclassifications in Imbalanced Data. ECML 2006: 126-137

Olivier Henchiri, Nathalie Japkowicz: A Feature Selection and Evaluation Scheme for Computer Virus Detection. ICDM 2006: 891-895

Taeho Jo, Nathalie Japkowicz: Three and Four Phase Scenarios for Dynamic Document Organization. SMC 2006: 2228-2233

Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz, Stan Matwin: Privacy Compliance Enforcement in Email. Canadian Conference on AI 2005: 194-204

Hui Li, Nathalie Japkowicz, Caroline Barrière: English to Chinese Translation of Prepositions. Canadian Conference on AI 2005: 412-416

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

Reuben Smith, Nathalie Japkowicz, Maxwell Dondo: Clustering using an Autoassociator: A Case Study in Network Event Correlation. IASTED PDCS 2005: 613-618

Jerffeson Teixeira de Souza, Nathalie Japkowicz, Stan Matwin: STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. PKDD 2005: 667-674

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

Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz: A Multiple Resampling Method for Learning from Imbalanced Data Sets. Computational Intelligence 20(1): 18-36 (2004)

Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz: Editorial: special issue on learning from imbalanced data sets. SIGKDD Explorations 6(1): 1-6 (2004)

Taeho Jo, Nathalie Japkowicz: Class imbalances versus small disjuncts. SIGKDD Explorations 6(1): 40-49 (2004)

Loïs Rigouste, Stan Szpakowicz, Nathalie Japkowicz, Terry Copeck: An Automatic Evaluation Framework for Improving a Configurable Text Summarizer. Canadian Conference on AI 2004: 529-533

Rehan Akbani, Stephen Kwek, Nathalie Japkowicz: Applying Support Vector Machines to Imbalanced Datasets. ECML 2004: 39-50

Justin Zhijun Zhan, Stan Matwin, Nathalie Japkowicz, LiWu Chang: Privacy-Preserving Collaborative Association Rule Mining. ICEB 2004: 1172-1178

Marvin Zaluski, Nathalie Japkowicz, Stan Matwin: Case Authoring from Text and Historical Experiences. Canadian Conference on AI 2003: 222-236

Nathalie Japkowicz, Shaju Stephen: The class imbalance problem: A systematic study. Intell. Data Anal. 6(5): 429-449 (2002)

Terry Copeck, Nathalie Japkowicz, Stan Szpakowicz: Text Summarization as Controlled Search. Canadian Conference on AI 2002: 268-280

Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John Shawe-Taylor: The Decision List Machine. NIPS 2002: 921-928

Yves Lespérance, Gerd Wagner, 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, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari: AAAI 2000 Workshop Reports. AI Magazine 22(1): 127-136 (2001)

Nathalie Japkowicz: Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks. Machine Learning 42(1/2): 97-122 (2001)

Nathalie Japkowicz: Concept-Learning in the Presence of Between-Class and Within-Class Imbalances. Canadian Conference on AI 2001: 67-77

Wangzhong Lu, Jeannette Janssen, Evangelos E. Milios, Nathalie Japkowicz: Node similarity in networked information spaces. CASCON 2001: 11

Andrew Estabrooks, Nathalie Japkowicz: A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. IDA 2001: 34-43

Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck: Nonlinear Autoassociation Is Not Equivalent to PCA. Neural Computation 12(3): 531-545 (2000)

Todd Eavis, Nathalie Japkowicz: A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. Canadian Conference on AI 2000: 280-292

Nathalie Japkowicz, Catherine Myers, Mark A. Gluck: A Novelty Detection Approach to Classification. IJCAI 1995: 518-523

Haym Hirsh, Nathalie Japkowicz: Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. AAAI 1994: 639-644

Nathalie Japkowicz, Janyce Wiebe: A System for Translating Locative Prepositions from English into French. ACL 1991: 153-160