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Nathalie Japkowicz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Haym Hirsh, Nathalie Japkowicz
    Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:639-644 [Conf]
  2. Nathalie Japkowicz, Janyce Wiebe
    A System for Translating Locative Prepositions from English into French. [Citation Graph (0, 0)][DBLP]
    ACL, 1991, pp:153-160 [Conf]
  3. Terry Copeck, Nathalie Japkowicz, Stan Szpakowicz
    Text Summarization as Controlled Search. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2002, pp:268-280 [Conf]
  4. Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz, Stan Matwin
    Privacy Compliance Enforcement in Email. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2005, pp:194-204 [Conf]
  5. Todd Eavis, Nathalie Japkowicz
    A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2000, pp:280-292 [Conf]
  6. Nathalie Japkowicz
    Concept-Learning in the Presence of Between-Class and Within-Class Imbalances. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2001, pp:67-77 [Conf]
  7. Hui Li 0003, Nathalie Japkowicz, Caroline Barrière
    English to Chinese Translation of Prepositions. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2005, pp:412-416 [Conf]
  8. Loïs Rigouste, Stan Szpakowicz, Nathalie Japkowicz, Terry Copeck
    An Automatic Evaluation Framework for Improving a Configurable Text Summarizer. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:529-533 [Conf]
  9. Marvin Zaluski, Nathalie Japkowicz, Stan Matwin
    Case Authoring from Text and Historical Experiences. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:222-236 [Conf]
  10. Marina Sokolova, Nathalie Japkowicz, Stan Szpakowicz
    Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:1015-1021 [Conf]
  11. Wangzhong Lu, Jeannette Janssen, Evangelos E. Milios, Nathalie Japkowicz
    Node similarity in networked information spaces. [Citation Graph (0, 0)][DBLP]
    CASCON, 2001, pp:11- [Conf]
  12. Narjès Boufaden, William Elazmeh, Yimin Ma, Stan Matwin, Nour El-Kadri, Nathalie Japkowicz
    PEEP- An Information Extraction base approach for Privacy Protection in Email. [Citation Graph (0, 0)][DBLP]
    CEAS, 2005, pp:- [Conf]
  13. Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
    Applying Support Vector Machines to Imbalanced Datasets. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:39-50 [Conf]
  14. William Elazmeh, Nathalie Japkowicz, Stan Matwin
    Evaluating Misclassifications in Imbalanced Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:126-137 [Conf]
  15. Olivier Henchiri, Nathalie Japkowicz
    A Feature Selection and Evaluation Scheme for Computer Virus Detection. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:891-895 [Conf]
  16. Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, LiWu Chang
    Privacy-Preserving Collaborative Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    ICEB, 2004, pp:1172-1178 [Conf]
  17. Andrew Estabrooks, Nathalie Japkowicz
    A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. [Citation Graph (0, 0)][DBLP]
    IDA, 2001, pp:34-43 [Conf]
  18. Nathalie Japkowicz, Catherine Myers, Mark A. Gluck
    A Novelty Detection Approach to Classification. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:518-523 [Conf]
  19. Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John Shawe-Taylor
    The Decision List Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:921-928 [Conf]
  20. Reuben Smith, Nathalie Japkowicz, Maxwell Dondo
    Clustering using an Autoassociator: A Case Study in Network Event Correlation. [Citation Graph (0, 0)][DBLP]
    IASTED PDCS, 2005, pp:613-618 [Conf]
  21. Jerffeson Teixeira de Souza, Nathalie Japkowicz, Stan Matwin
    STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:667-674 [Conf]
  22. Narjès Boufaden, William Elazmeh, Stan Matwin, Nathalie Japkowicz
    PEEP- Privacy Enforcement in Email Project. [Citation Graph (0, 0)][DBLP]
    PST, 2005, pp:- [Conf]
  23. 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. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2001, v:22, n:1, pp:127-136 [Journal]
  24. Jerffeson Teixeira de Souza, Stan Matwin, Nathalie Japkowicz
    Parallelizing Feature Selection. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 2006, v:45, n:3, pp:433-456 [Journal]
  25. Nathalie Japkowicz, Shaju Stephen
    The class imbalance problem: A systematic study. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:5, pp:429-449 [Journal]
  26. Wangzhong Lu, Jeannette C. M. Janssen, Evangelos E. Milios, Nathalie Japkowicz, Yongzheng Zhang
    Node similarity in the citation graph. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2007, v:11, n:1, pp:105-129 [Journal]
  27. Nathalie Japkowicz
    Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:42, n:1/2, pp:97-122 [Journal]
  28. Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck
    Nonlinear Autoassociation Is Not Equivalent to PCA. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:3, pp:531-545 [Journal]
  29. Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz
    Editorial: special issue on learning from imbalanced data sets. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:1, pp:1-6 [Journal]
  30. Taeho Jo, Nathalie Japkowicz
    Class imbalances versus small disjuncts. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:1, pp:40-49 [Journal]
  31. Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz
    A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:907-912 [Conf]

  32. Instance Selection by Border Sampling in Multi-class Domains. [Citation Graph (, )][DBLP]

  33. Improving Bayesian Learning Using Public Knowledge. [Citation Graph (, )][DBLP]

  34. Using Unsupervised Learning for Network Alert Correlation. [Citation Graph (, )][DBLP]

  35. Full Border Identification for Reduction of Training Sets. [Citation Graph (, )][DBLP]

  36. Evaluation Methods for Ordinal Classification. [Citation Graph (, )][DBLP]

  37. Assessing the Impact of Changing Environments on Classifier Performance. [Citation Graph (, )][DBLP]

  38. Cost-Based Sampling of Individual Instances. [Citation Graph (, )][DBLP]

  39. Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification. [Citation Graph (, )][DBLP]

  40. Cascading Customized Naïve Bayes Couple. [Citation Graph (, )][DBLP]

  41. Robustness of Classifiers to Changing Environments. [Citation Graph (, )][DBLP]

  42. A Unified Framework for Relative Clause Simplification and Relative Pronoun Correction. [Citation Graph (, )][DBLP]

  43. Border Sampling through Coupling Markov Chain Monte Carlo. [Citation Graph (, )][DBLP]

  44. Workshop summary: The fourth workshop on evaluation methods for machine learning. [Citation Graph (, )][DBLP]

  45. Visualizing Classifier Performance on Different Domains. [Citation Graph (, )][DBLP]

  46. Boosting Support Vector Machines for Imbalanced Data Sets. [Citation Graph (, )][DBLP]

  47. A Projection-Based Framework for Classifier Performance Evaluation. [Citation Graph (, )][DBLP]

  48. A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. [Citation Graph (, )][DBLP]

  49. A Multiple Resampling Method for Learning from Imbalanced Data Sets. [Citation Graph (, )][DBLP]

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