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Adam Kowalczyk: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Adam Kowalczyk, Olivier Chapelle
    An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. [Citation Graph (0, 0)][DBLP]
    ALT, 2005, pp:78-91 [Conf]
  2. Justin Bedo, Conrad Sanderson, Adam Kowalczyk
    An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:170-180 [Conf]
  3. Adam Kowalczyk, Bhavani Raskutti
    Learner's Self-Assessment: A Case Study of SVM for Information Retrieval. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2001, pp:249-260 [Conf]
  4. Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
    Second Order Features for Maximising Text Classification Performance. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:419-430 [Conf]
  5. Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alex J. Smola
    Multi-Instance Kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:179-186 [Conf]
  6. Adam Kowalczyk, Herman L. Ferrá, Ken Gardiner
    Discovering Production Rules with Higher Order Neural Networks. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:158-162 [Conf]
  7. Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
    Using Unlabelled Data for Text Classification through Addition of Cluster Parameters. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:514-521 [Conf]
  8. Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk
    Combining clustering and co-training to enhance text classification using unlabelled data. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:620-625 [Conf]
  9. Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk
    Experiments with Neural Networks for Real Time Implementation of Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:973-979 [Conf]
  10. Adam Kowalczyk
    Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:252-258 [Conf]
  11. Adam Kowalczyk
    Some Estimates on the Number of Connections and Hidden Units for Feed-Forward Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:639-646 [Conf]
  12. Adam Kowalczyk
    Counting Function Theorem for Multi-Layer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:375-382 [Conf]
  13. Adam Kowalczyk, Herman L. Ferrá
    Generalisation in Feedforward Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:215-222 [Conf]
  14. Adam Kowalczyk, Herman L. Ferrá
    MLP Can Provably Generalize Much Better than VC-bounds Indicate. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:190-196 [Conf]
  15. Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson
    Examples of learning curves from a modified VC-formalism. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:344-350 [Conf]
  16. Adam Kowalczyk, Alex J. Smola, Robert C. Williamson
    Kernel Machines and Boolean Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:439-446 [Conf]
  17. Adam Kowalczyk, Bhavani Raskutti, Herman L. Ferrá
    Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:361-372 [Conf]
  18. Adam Kowalczyk, Bhavani Raskutti
    Exploring Fringe Settings of SVMs for Classification. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:278-290 [Conf]
  19. Peter K. Campbell, Alan Christiansen, Michael Dale, Herman L. Ferrá, Adam Kowalczyk, Jacek Szymanski
    Experiments with Simple Neural Networks for Real-Time Control. [Citation Graph (0, 0)][DBLP]
    IEEE Journal on Selected Areas in Communications, 1997, v:15, n:2, pp:165-178 [Journal]
  20. Adam Kowalczyk
    Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:8, pp:1417-1433 [Journal]
  21. Adam Kowalczyk, Bhavani Raskutti
    One Class SVM for Yeast Regulation Prediction. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:99-100 [Journal]
  22. Bhavani Raskutti, Adam Kowalczyk
    Extreme re-balancing for SVMs: a case study. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:1, pp:60-69 [Journal]
  23. Adam Kowalczyk
    Continuity of Performance Metrics for Thin Feature Maps. [Citation Graph (0, 0)][DBLP]
    ALT, 2007, pp:343-357 [Conf]
  24. Adam Kowalczyk
    Classification of Anti-learnable Biological and Synthetic Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:176-187 [Conf]

  25. The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data. [Citation Graph (, )][DBLP]


  26. Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer. [Citation Graph (, )][DBLP]


  27. Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations. [Citation Graph (, )][DBLP]


  28. Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context. [Citation Graph (, )][DBLP]


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