Publications of Nathalie Japkowicz

Publications, Abstracts and Manuscripts of Nathalie Japkowicz

Books:

Evaluating Learning Algorithms: A Classification Perspective , Japkowicz, N. and Shah, M., Cambridge University Press (February 2011)
Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25-27, 2009 Proceedings , Series Lecture Notes in Computer Science, Subseries: Lecture Notes in Artificial Intelligence, Vol 5549, Gao, Yong and Japkowicz, Nathalie (Eds.)

Journal Articles (Refereed):

"Machine learning for radioxenon event classification for the Comprehensive Nuclear-Test-Ban Treaty", Trevor J. Stocki, Guichong Li, Nathalie Japkowicz, R. Kurt Ungar, Journal of Environmental Radioactivity , 101:1, pp.68-74, 2010.

"Unknown Malcode Detection and the Imbalance Problem", Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz and Yuval Elovici, accepted for publication in the Journal in Computer Virology.

"Boosting Support Vector Machines for Imbalanced Data Sets", Benjamin X. Wang and Nathalie Japkowicz, accepted for publication in Knowledge and Information Systems.

"Warning: Statistical Benchmarking is Addictive. Kicking the Habit in Machine Learning", Chris Drummond and Nathalie Japkowicz, accepted for publication in the Journal of Experimental and Theoretical Artificial Intelligence (JETAI).

"Node Similarity in Networked Information Spaces" , Wangzhong Lu, Jeannette Janssen, Evangelos Milios and Nathalie Japkowicz, Knowledge and Information Systems , 2007.

Parallelizing Feature Selection" , Jeff Souza, Stan Matwin and Nathalie Japkowicz, Algorithmica , 2006.

"Class Imbalances versus Small Disjuncts" , Jo, T. and Japkowicz, N., SIGKDD Explorations 6(1), June 2004, pp. 40-49. paper (PDF)

"A Multiple Resampling Method for Learning from Imbalances Data Sets" , Estabrooks, A., Jo, T. and Japkowicz, N., Computational Intelligence, Volume 20, Number 1, February 2004, pp.18-36. Paper (PDF)

"The Class Imbalance Problem: A Systematic Study" , Japkowicz N. and Stephen, S., Intelligent Data Analysis, Volume 6, Number 5, pp. 429-450, November 2002. paper (gzipped postscript format) .

"Supervised versus Unsupervised Binary-Learning by Feedforward Neural Networks" , Japkowicz, N., Machine Learning Volume 42, Issue 1/2, pp. 97-122, January 2001. abstract, paper.

"Nonlinear Autoassociation is not Equivalent to PCA" , Japkowicz, N., Hanson S.J., and Gluck, M.A. Neural Computation, Volume 12, Number 3, pp. 531-545, March 2000 . abstract, paper .

Conference Papers (Refereed):

"On the Benefits (or not) of a Clustering Algorithm in Student Tracking", Reva Freedman and Nathalie Japkowicz in Proceedings of the Sixteenth international conference on Artificial Intelligence in Education (AIED'2013).

"Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets", Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, and Xuan Liu, in Proceedings of the twenty-sixth Canadian Conference in Artificial Intelligence (AI'2013) .

"An Ensemble Method Based on AdaBoost and Meta-learnig", Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, and Stan Matwin, in Proceedings of the twenty-sixth Canadian Conference in Artificial Intelligence (AI'2013) .

"Anomaly Detection in Gamma Ray Spectra: A Machine Learning Perspective", Shiven Sharma, Colin Bellinger, Nathalie Japkowicz, Rodney Berg and Kurt Ungar Proceedings of the IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA'2012) .

"Clustering-Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear Test-Ban Treaty", Shiven Sharma, Colin Bellinger and Nathalie Japkowicz, Proceedings of the twenty-fifth Canadian Conference in Artificial Intelligence (AI'2012). **** Best Paper Award ****.

"Applying Least Angle Regression to ELM", Hang Shao and Nathalie Japkowicz, Proceedings of the twenty-fifth Canadian Conference in Artificial Intelligence (AI'2012).

"Mining the Hidden Structure of Inductive Learning Data Sets", Nathalie Japkowicz, Proceedings of the twenty-fifth Canadian Conference in Artificial Intelligence (AI'2012).

"Anomaly Setection via Coupled Gaussian Kernels", Guichong Li, Nathalie Japkowicz and Lian Tang Proceedings of the twenty-fifth Canadian Conference in Artificial Intelligence (AI'2012).

"Smooth Receiver Operating Characteristics (smROC) Curves", William Klement, Peter Flach, Nathalie Japkowicz and Stan Matwin, Proceedings of the 2011 ECML-PKDD Conference.

"Compact Features for Sentiment Analysis", Lisa Gaudette and Nathalie Japkowicz, Proceedings of the twenty-fourth Canadian Conference in Artificial Intelligence (AI'2011).

"Motivating the Inclusion of meteorological Indicators in the CTBT Feature-Space", Colin Bellinger and Nathalie Japkowicz, Proceedings of SSCI 2011 CISDA -- 2011 IEEE Symposium on Computational Intelligence for Security and Defence Applications .

"Cascading Customized Naive Bayes Couple", Guichong Li, Nathalie Japkowicz, Trevor J. Stocki and Kurt Ungar, Proceedings of the twenty-third Canadian Conference in Artificial Intelligence (AI'2010).

"Improving Bayesian Learning Using Public Knowledge", Farid Seifi, Chris Drummond, Nathalie Japkowicz and Stan Matwin, Proceedings of the twenty-third Canadian Conference in Artificial Intelligence (AI'2010).

"Robustness of Classifiers to Changing Environments", Houman Abbasian, Chris Drummond, Nathalie Japkowicz and Stan Matwin, Proceedings of the twenty-third Canadian Conference in Artificial Intelligence (AI'2010).

"Using Classifier Performance Visualization to improve Collective Ranking Techniques for biomedical abstracts classification", Alexandre Kouznetsov and Nathalie Japkowicz, Proceedings of the twenty-third Canadian Conference in Artificial Intelligence (AI'2010).

"Instance Selection by Border Sampling in Multi-Class Domains", Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, and R. Kurt Ungar, in the proceedings of the International Conference on Advanced Data Mining and A pplications (ADMA2009), August, Beijing.

"Evaluation Methods for Ordinal Classification", Lisa Gaudette and Nathalie Japkowicz, in the Proceedings of the twenty-second Canadian Conference in Artificial Intelligence (AI'2009).

"Cost-based Sampling of Individual Instances", William Klement, Peter Flach, Nathalie Japkowicz and Stan Matwin, in the Proceedings of the twenty-second Canadian Conference in Artificial Intelligence (AI'2009).

"Border Sampling Through Coupling Markov Chain Monte Carlo", Li, G., Japkowicz, N., Stocki, T. and Ungar, K. in the Proceedings of the Eighth IEEE International Conference on Data Mining, Pisa, 2008.

"Visualizing Classifier Performance" Alaiz-Rodriguez, R., Japkowicz, N., and Tischer, P. in the Proceedings of the 20th IEEE International Conference on Tools for Artificial Intelligence (ICTAI'2008) Paper (in PDF format)

"A Visualization-Based Exploratory Tool for Classifier Comparison with respect to Multiple Metrics and Multiple Domains", Alaiz-Rodriguez, R., Japkowicz, N., and Tischer, P. in the Proceedings of the ECML PKDD 2008 Conference (Short Demo Paper).

"A Projection-Based Framework for Classifier Performance Evaluation", Japkowicz, N., Sanghi, P. and Tischer, P. in the Proceedings of the ECML PKDD 2008 Conference . Paper (in PDF format).

"Assessing the Impact of Changing environments on Classifier Performance", Alaiz-Rodriguez, R. and Japkowicz, N., in the Proceedings of the 21st Canadian Conference in Artificial Intelligence (AI'2008) . paper (in PDF format)

"Using unsupervised learning for Network Alert Correlation", Smith, R., Japkowicz, N., Dondo, M. and Mason, P., in the Proceedings of the 21st Canadian Conference in Artificial Intelligence (AI'2008) . paper (in PDF format).

"Full Border Identification for Reduction of Training Sets", Li, G., Japkowicz, N., Stocki, T. and Ungar, K., in the Proceedings of the 21st Canadian Conference in Artificial Intelligence (AI'2008) . paper (in Word Format)

"Boosting Support Vector Machines for Imbalanced Data Sets", Wang, B. X. and Japkowicz, N.., in the Proceedings of the 17th International Symposium on Methodologies for Intelligent Systems (ISMIS'2008) . **** Best Paper Award ****. paper (in PDF Format)

"Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance Data", Japkowicz, N., Sanghi, P. and Tischer, P. in the Proceedings of the Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM-08) , Fort Lauderdale, Florida, January 2-4, 2008. paper (in PDF format).

"A Meta-learning Approach for Selecting Between Response Automation Strategies in a Help-desk Domain", Marom, Y., Zukerman, I. and Japkowicz, N., in the Proceedings of the Twenty Second conference on Artificial Intelligence (AAAI-07) .
paper (in PDF format).

A Unified Framework for relative Clause Simplification and Relative Pronoun Correction", George, C. and Japkowicz, N. in the Proceedings of the 2007 International Conference on Artificial Intelligence (ICAI'2007) .

"AutoCorrel: a neural network event correlation approach", Dondo, M., Mason, P., Japkowicz, N. and Smith, R., in the proceedings of of SPIE -- DSS'07 (to appear) .

"A Feature Selection and Evaluation Scheme for Computer Virus Detection", Henchiri, O. and Japkowicz, N., in the Proceedings of the 2006 International Conference on Data Mining (ICDM2006).
paper (in Word format).

"Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation" Sokolova, M., Japkowicz, N. and Szpakowicz, S. in the Proceedings of the 2006 Australian Conference on Artificial Intelligence (AI 2006).

"A Framework for Measuring Classification Difference with Imbalance",, Elazmeh, W., Japkowicz, N. and Matwin, S., in the Proceedings of the 2006 European Conference on Machine Learning (ECML2006).

"Three and Four Phase Scenarios for Dynamic Document Organizations", Jo, T. and Japkowicz, N. in the Proceedings of the 2006 IEEE International Conference on Systems, Man, and Cybernetics, 2006.

"AutoCorrel: a neural network event correlation approach", Dondo, M., Japkowicz, N. and Smith, R., in the proceedings of of SPIE -- Volume 6241: Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, Belur V. Dasarathy, Editor, 62410N (Apr. 18, 2006).

"Clustering using an Autoassociator: A case study in Network Event Correlation", Smith, R., Japkowicz, N. and Dondo, M., in the Proceedings of the IASTED Conference on Parallel and Distributed Computing and Systems, PDCS'2005 , 2005. paper

"StochFS: A Framework for Combining Feature Selection Outcomes through a Stochastic Process", Souza, J., Japkowicz, N., and Matwin, S. in the Proceedings of the 9th conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2005).

"PEEP - An Information Extraction based approach for Privacy Protection in Email" , Narjes Boufaden, William Elazmeh, Yimin Ma, Nour El-Kadri, Stan Matwin and Nathalie Japkowicz in the Proceedings of the 2005 Conference on Email and anti-Spam (CEAS05).

"Text Clustering with NTSO", Jo, Taeho and Japkowicz, Nathalie in the Proceedings of the 2005 International Joint Conference on Neural Networks (IJCNN'05).

Privacy Compliance Enforcement in Email", Armour, Q., Elazmeh, W., Elkadri, N., Japkowicz, N. and Matwin, S., in the Proceedings of the Eighteenth Conference of the Canadian Society for Computational Studies of Intelligence (AI'2005).

English to Chinese Translation of Prepositions", Li, H., Japkowicz, N. and Barriere, C., in the Proceedings of the Eighteenth Conference of the Canadian Society for Computational Studies of Intelligence (AI'2005).

"Privacy-Preserving Collaborative Data Mining: A New Perspective", Zhan, J., Matwin, S., Japkowicz, N. and Chang, L., in the Proceedings of the Fourth International Conference on Electronic Business, December, 2004.

"Applying Support Vector Machines to Imbalanced Datasets", Akbani,R., Kwek, S., and Japkowicz, N., in the Proceedings of the 2004 European Conference on Machine Learning (ECML'2004).

"Evolution of a Text Summarization System in an Automatic Evaluation Framework", Rigouste, L., Szpakowicz, S., Japkowicz, N. and Copeck, T., in the Proceedings of the Seventeenth Conference of the Canadian Society for Computational Studies of Intelligence (AI'2004).

"Case Authoring from Text and Historical Experience", Zaluski, M., Japkowicz, N. and Matwin, S. in the Proceedings of the Sixteenth Conference of the Canadian Society for Computational Studies of Intelligence (AI'2003), pp. 222-236. paper .

"The Decision List Machine", Sokolova, M., Marchand, M., Japkowicz, N. and Shawe-Taylor, J. to appear in the Proceedings of the Sixteenth Annual Conference on Neural Information Processing Systems (NIPS'2002)

"Evaluating Data Mining Models: A Pattern Language" , Souza, J., Matwin, S., and Japkowicz, N. to appear in the Proceedings of the 9th Conference on Pattern Language of Programs (PLOP'2002)

"ForTalBooster - A General Technique for Boosting Feature Selection Systems" , Souza, J., Japkowicz, N. and Matwin, S. in the Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing (ASC'2002), pp. 338-343.

"Supervised Learning with Unsupervised Output Separation" , Japkowicz, N. in the Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing (ASC'2002), pp. 321-325. paper (in PDF format) .

"Text Summarization as Controlled Search" , Copeck, T., Japkowicz, N., and Szpakowicz, S. to appear in the Proceedings of the Fifteenth Conference of the Canadian Society for Computational Studies of Intelligence (AI'2002). paper (in Zipped Word Format) .

"Node similarity in networked information space" , Lu W., Milios E., Janssen, J. and Japkowicz, N., to appear in the Proceedings of CASCON 2001, the 2001 IBM Centre for Advanced Studies Conference .

"A Mixture-of-Experts Framework for Concept-Learning from Imbalanced Data Sets" , Estabrooks A, and Japkowicz, N., to appear in the Proceedings of the 2001 Intelligent Data Analysis Conference . abstract , paper
(Copyright: Springer-Verlag, http://www.springer.de/comp/lncs/index.html ).

"Concept-Learning in the Presence of Between-Class and Within-Class Imbalances" , Japkowicz N., to appear in the Proceedings of the Fourteenth Conference of the Canadian Society for Computational Studies of Intelligence (AI'2001).
(Copyright: Springer-Verlag, http://www.springer.de/comp/lncs/index.html ). abstract , paper .

"The Class Imbalance Problem: Significance and Strategies" , Japkowicz, N. in the Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI'2000), Volume 1, pp. 111-117 abstract , paper .

"A Recognition-Based Alternative to Discrimination-Based Multi-Layer Perceptrons" , Eavis, T. and Japkowicz, N. in Advances in Artificial Intelligence, proceedings of the Thirteenth Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI'2000), pp. 280-292. abstract , paper .
(Copyright: Springer-Verlag, http://www.springer.de/comp/lncs/index.html ).

"Adaptability of the Backpropagation Procedure" , Japkowicz, N. and Hanson S.J., in the proceedings of the 1999 International Joint Conference in Neural Networks (IJCNN-99). Published in digital CD-ROM format, Paper 208. abstract, paper .

"Are we Better off without Counter Examples?" , Japkowicz, N., in the proceedings of the First International ICSC Congress on Computational Intelligence Methods and Applications (CIMA-99), pp. 242-248. abstract, paper.

"A Novelty Detection Approach to Classification" , Japkowicz, N., Myers, C. & Gluck, M., in the proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95). pp. 518-523. abstract, paper.

"Bootstrapping Training-Data Representations for Inductive Learning: "A Case Study in Molecular Biology" , Hirsh, H., & Japkowicz, N., in the proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94). pp. 639-644. abstract, paper

"A system for Translating Locative Prepositions from English into French" , Japkowicz, N., & Wiebe, in the proceedings of the Twenty Ninth meeting of the Association for Computational Linguistics (ACL-91). pp. 153-160. abstract, paper.

Edited Volumes:

Proceedings of the ICML-COLT'2009 Fourth Workshop on Evaluation Methods for Machine Learning , Chris Drummond, William Elamzeh, Nathalie Japkowicz and Sofus Macskassy, June 2008

Proceedings of the ICML'2008 Workshop on Evaluation Methods for Machine Learning III , Chris Drummond, William Elamzeh, Nathalie Japkowicz and Sofus Macskassy, July 2008

Proceedings of the AAAI'2007 Workshop on Evaluation Methods for Machine Learning II , Chris Drummond, William Elamzeh, Nathalie Japkowicz and Sofus Macskassy, AAAI Tech Report WS-07-05, July 2007

Proceedings of the AAAI'2006 Workshop on Evaluation Methods for Machine Learning , Chris Drummond, William Elamzeh and Nathalie Japkowicz, AAAI Tech Report WS-06-06, July 2006

Special Issue on Learning from Imbalanced Data Sets, ACM SIGKDD Explorations, Volume 6, Number 1, Nitesh Chawla, Nathalie Japkowicz, Alek Kolcz (guest editors), June 2004.

Proceedings of the ICML'2003 Workshop on Learning from Imbalanced Data Sets II , Nitesh Chawla, Nathalie Japkowicz, Alek Kolcz (editors), August 2003.

Proceedings of the AAAI'2000 Workshop on Learning from Imbalanced Data Sets , Nathalie Japkowicz (editor), AAAI Tech Report WS-00-05, July 2000.

Magazine Articles (Unrefereed):

"Workshop Report: AAAI-2007 Workshop on Evaluation Methods for Machine Learning", Japkowicz, N., Drummond, C., Elamzeh, and Macskassy, S. in AI Magazine, Volume 28, Number 4, Winter 2007 .

"Workshop Report: AAAI-2006 Workshop on Evaluation Methods for Machine Learning", Drummond, C., Elamzeh, W. and Japkowicz, N. , in AI Magazine , 2007.

Editorial, Special Issue on Learning from Imbalanced Data Sets, Chawla, N., Japkowicz, N., Kolcz, A., SIGKDD Explorations, Volume 6(1), June 2004, pp. 1-6 Editorial .

"Workshop Report: AAAI-2000 Workshop on Learning from Imbalanced Data Sets", Japkowicz, N. and Holte, R., in AI Magazine , volume 22, no.1, Spring 2001. report .

Book Review of "Outils Logiques pour le traitement du temps" (`` Logical Tools for the Processing of Temporal Information"), Japkowicz N., in Canadian Artificial Intelligence . no.22. January 1990.

Papers in Workshop Proceedings:

Classifier Evaluation: A Need for Better Education and Restructuring , Nathalie Japkowicz, ICML-2008 Workshop on Evaluation Methods for Machine Learning >I , 2008, Helsinki, Finland.

"Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance Data" , Nathalie Japkowicz, Pritika Sanghi, Peter Tischer, AAAI-2007 Workshop on Evaluation Methods for Machine Learning II , 2007, Vancouver.

Why Question Machine Learning Evaluation Methods? (An illustrative review of the shortcomings of current methods) , Japkowicz, N., AAAI-2006 Workshop on Evaluation Methods for Machine Learning , 2006, Boston.

Beyond Accuracy, F-score and ROC: a Family of Discriminant Measures for Performance Evaluation, Sokolova, M., Japkowicz, N. and Szpakowicz, S., AAAI-2006 Workshop on Evaluation Methods for Machine Learning , 2006, Boston.

A Framework for Measuring Classification Difference with Imbalance, Elazmeh, W., Japkowicz, N.and Matwin, S., AAAI-2006 Workshop on Evaluation Methods for Machine Learning , 2006, Boston.

Automatic Correction of French to English Relative Pronoun Translations using Natural Language Processing and Machine Learning Techniques , George, C. and Japkowicz, N., Computational Linguistics in the North East (CLiNE'05) , 2005, Ottawa.

Unsupervised Probabilistic Grammar Induction , Essiambre, B. and Japkowicz, N., Computational Linguistics in the North East (CLiNE'05) , 2005, Ottawa.

The role of Named Entities in Text Classification , Armour, Q., Matwin, S. and Japkowicz, N., Computational Linguistics in the North East (CLiNE'05) , 2005, Ottawa.

Feature Selection with a General Hybrid Algorithm , Souza, J., Japkowicz, N. and Matwin, S., International Workshop on Feature Selection for Data Mining , April 2005.

Parallelizing Feature Selection , Souza, J., Matwin, S., and Japkowicz, N. International Workshop o on Feature Selection for Data Mining , April 2005.

"Class Imbalances: Are we Focusing on the Right Issue?" , Japkowicz, N. Notes from the ICML Workshop on Learning from Imbalanced Data Sets II, 2003. paper

"Learning How Best to Sumarize" , Copeck, T., Szpakowicz, S., and Japkowicz, N. Proceedings of the 2002 Document Understanding Conference (DUC'2002) paper

"Text Summarization as Controlled Search" , Copeck, T., Japkowicz, N., and Szpakowicz, S. Proceedings of the 2001 Document Understanding Conference (DUC'2001) paper

"A Mixture-of-Experts Framework for Text Classification" , Andrew Estabrooks and Nathalie Japkowicz. Proceedings of the 2001 Workshop on Computational Natural Language Learning (CoNLL-2001). (To Appear) abstract , paper (gzipped postscript).

"Using Unsupervised Learning to Guide Re-Sampling in Imbalanced Data Sets" , Adam Nickerson, Nathalie Japkowicz and Evangelos Milios. Proceedings of the Eighth International Workshop on AI and Statitsics , pp. 261-265, 2001. paper .

"Learning from Imbalanced Data Sets: A Comparison of Various Strategies" , Japkowicz, N. in the Proceedings of Learning from Imbalanced Data Sets, Papers from the AAAI Workshop, Technical Report WS-00-05 , Japkowicz, N. (editor), abstract, paper , pp. 10-15.

"A Recognition-Based Alternative to Discrimination-Based Multi-Layer Perceptrons" , Eavis, T. and Japkowicz, N., in the Proceedings of Learning from Imbalanced Data Sets, Papers from the AAAI Workshop, Technical Report WS-00-05 , Japkowicz, N. (editor), pp. 32-37.

"Towards a Bootstrapping Approach to Constructive Induction" , Japkowicz, N. & Hirsh, H., Presented at the ML-COLT-94 Workshop on Constructive Induction and Change of Representation . abstract, paper.

Unpublished Workshop Abstracts:

"Imbalanced Data Set Learning with Synthetic Examples" , Wang, B.X. and Japkowicz, N., presented at the IRIS Machine Learning Workshop , Ottawa, June 9, 2004.

"Supervised versus Unsupervised Learning by Feedforward Networks: Accuracy and Efficiency Results" , Japkowicz, N., presented at the NIPS-98 Workshop on Combining Supervised and Unsupervised Learning. abstract.

"Nonlinear Autoassociation is not Equivalent to PCA" , Japkowicz, N., Hanson, S.J., & Gluck, M., Presented at the NIPS-97 Workshop on Autoassociators. abstract, paper.

"A Novelty-Detection Approach to Classification" , Japkowicz, N., Myers, C. & Gluck, M., Presented at the NIPS-94 Workshop on Monitoring and Novelty Detection.

"`Using Conceptual Information to Translate Locative Prepositions from English into French" , Japkowicz, N. & Wiebe Jan, Presented at the 1990 Workshop on Current Trends in SnePS .

Technical Reports:

"The Class Imbalance Problem: A Systematic Study" , Japkowicz N. and Stephen, S., Technical Report TR-2001-07, University of Ottawa, October 2001. abstract, tech report

"A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets" , Estabrooks, A. and Japkowicz N., Technical Report TR-2001-06 , University of Ottawa, October 2001. abstract, tech report

"Node Similarity in Networked Information Spaces" , Lu W., Milios E., Janssen, J. and Japkowicz, N., Technical Report CS-2001-03 , Dalhousie University, September 2001.

Proceedings of the AAAI'2000 Workshop on Learning from Imbalanced Data Sets , Nathalie Japkowicz (editor), AAAI Tech Report WS-00-05, July 2000.

"Concept-Learning in the Absence of Counter-Examples: An Autoassociation-Based Approach to Classification" (Ph.D. Thesis), Japkowicz, N, Technical Report DCS-TR-390, Rutgers University. abstract, thesis.

"The Translation of Basic Topological Prepositions from English into French" (Master's Thesis), Japkowicz, N, Technical Report CSRI-243, University of Toronto.