Working Papers

  • Zaidi, N. Du, Y. and Webb, G.
    On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers
    (in submission to) Machine Learning Journal (MLj) (2017)
    [pdf][code]

Journal Papers

Conference Papers

  • Zaidi, N. and Webb, G.
    A Fast Trust-Region Newton Method for Softmax Logistic Regression
    SDM2017: SIAM International Conference on Data Mining, (2017)
    [pdf] [Slides]
  • Liu, N. and Zaidi, N.
    Artificial Neural Network: Deep or Broad? An Empirical Study
    AI2016: Advances in Artificial Intelligence, (2016)
    [pdf] [Slides]
  • Zaidi, N. and Petitjean, F. and Webb, G.
    Preconditioning an Artificial Neural Network Using Naive Bayes
    Advances in Knowledge Discovery and Data Mining, pp. 341-353 (2016)
    [doi] [pre-publication pdf] [slides]
  • Zaidi, N. and Carman, M. and Cerquides, J. and Webb, G.
    Naive-Bayes Inspired Effective Pre-Conditioners for Speeding-up Logistic Regression
    IEEE International Conference on Data Mining, pp. 1097-1102 (2014)
    [doi] [pre-publication pdf]
  • Zaidi, N. and Webb, G.
    Fast and Efficient Single Pass Bayesian Learning
    Advances in Knowledge Discovery and Data Mining, pp. 149-160 (2012)
    [doi] [pdf] [slides]
  • Zaidi, N. and Squire, D.
    Local Adaptive SVM for Object Recognition
    Digital Image Computing: Techniques and Applications (DICTA), pp. 196-201 (2010)
    [doi] [pdf] [slides]
  • Zaidi, N. and Squire, D. and Suter, D.
    A Gradient-based Metric Learning Algorithm for k-NN Classifiers
    AI 2010: Advances in Artificial Intelligence, pp. 194-203 (2010)
    [doi] [pdf] [slides]
  • Zaidi, N. and Squire, D.
    SVMs and Data Dependent Distance Metric
    Image and Vision Computing New Zealand (IVCNZ), pp. 1-7 (2010)
    [doi] [pdf]
  • Zaidi, N. and Squire, D. and Suter, D.
    BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification
    Advances in Knowledge Discovery and Data Mining, pp. 142-149 (2010)
    [doi] [pdf]
  • Dowe, D. and Zaidi, N.
    Database Normalization as a by-product of Minimum Message Length inference
    AI 2010: Advances in Artificial Intelligence, pp. 82-91 (2010)
    [doi] [pdf]
  • Zaidi, N. and Suter, D.
    Confidence rated boosting algorithm for generic object detection
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference, pp. 1-4 (2008)
    [doi]
  • Zaidi, N. and Suter, D.
    Object Detection Using a Cascade of Classifiers
    Digital Image Computing: Techniques and Applications (DICTA), pp. 600-605 (2008)
    [doi]

Technical Reports

  • Zaidi, N and Squire, D and Suter, D.
    A Simple Gradient-based Metric Learning Algorithm for Object Recognition
    Technical Report (2010/256), Clayton School of IT, Monash University, VIC, Australia, 2010
    [pdf]
  • Zaidi, N and Squire. D.
    Data Dependent Distance Metric for Efficient Gaussian Process Classification
    Technical Report, Clayton School of IT, Monash University, VIC, Australia, 2009
    [pdf]

Thesis

  • Zaidi, N.
    Metric Learning and Scale Estimation in High Dimensional Machine Learning Problems with an Application to Generic Object Recognition
    Ph.D Thesis, 2011
    [pdf]