Tutorials

  • Zaidi, N. Y, Zhang. and and Li, G.
    Recent and Emerging Trends in Tabular Data Generation
    ICDM2022: IEEE International Conference on Data Mining (2022)
    [pdf] [Official Page]
  • Zaidi, N. Y, Zhang. and and Li, G.
    Harnessing the Power of GAN-based Models for Tabular Data Generation
    PAKDD (2022)
    [Official Page]

ArXiv Papers


Referred Journal Publications

  • Zhang, Y. and Zaidi, N. and Zhou, J. and Wang, T. and Li, G.
    Effective Interpretable Learning for Large-Scale Categorical Data
    Data Mining and Knowledge Discovery (2024)
    [pdf]
  • Thiruvady, D. and Nguyen, S. and Sun, Y. and Shiri, F. and Zaidi, N. and Li, X.
    Adaptive Population-based Simulated Annealing for Resource Constrained Job Scheduling with Uncertainty
    International Jounal of Production Research (2024)
    [pdf]
  • Mashrur, A. and Luo, W. and Zaidi, N. and Robles-Kelly, A.
    Robust Visual Question Answering via Semantic Cross Modal Augmentation
    Computer Vision and Image Understanding (2023)
    [pdf]
  • Shabanpour, A. Hou, Z. and and Husnoo, A. and Nguyen, K. and Yearwood, J. and Zaidi, N.
    Aspect-based Automated Evaluation of Dialogues
    Knowledge-Based Systems (2023)
    [pdf]
  • Li, S. and Zaidi, N. and Du, M. and Zhou, Z. and Zhang, H, Li, G.
    Property Graph Representation Learning for Node Classification
    Knowledge and Information Systems (2023)
    [pdf]
  • Xia, H. and Zaidi, N. and Zhang, Y. and Li, G.
    Improving Neural Network’s Robustness on Tabular Data with D-Layers
    Data Mining and Knowledge Discovery (2023)
    [pdf]
  • Zhang, Y. and Zaidi, N. and Zhou, J. and Li, G.
    Interpretable Tabular Data Generation
    Knowledge and Information Systems (2023)
    [pdf]
  • Jaladoni, A. and Y, Zhang. and Zaidi, N.
    On the use of Machine Learning Methods in Rock Art Research with Application to Automatic Painted Rock Art Identification
    Journal of Archaeological Science (2022)
    [pdf]
  • Thiruvady, D. and Nguyen, S. and Shiri, F. and Zaidi, N. and Li, X..
    Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty
    Swarm and Evolutionary Computation (2022), Volume 69
    [pdf]
  • Mashrur, A. and Luo, W. and Zaidi, N. and Robles-Kelly, A.
    Machine Learning for Financial Risk Management: A Survey
    IEEE Access (2020)
    [pdf]
  • Zaidi, N. and Du, Y. and Webb, G.
    On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers
    IEEE Access, pp. 198856-198871 (2020), Volume 8
    [pdf]
  • Lucas, B. and Shifaz, A. and Pelletier, C. and O'Neill, L. and Zaidi, N. and Goethals, B. and Petitjean, F. and Webb, G.
    Proximity Forest: An effective and scalable distance-based classifier for time series
    Data Mining and Knowledge Discovery, Volume 33, pp. 607-635 (2019)
    [pdf]
  • Petitjean, F. and Buntine, W. and Webb, G. and Zaidi, N.
    Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes
    Machine Learning, pp. 1-29 (2018)
    [pdf]
  • Martinez, A. and Webb, G. and Chen, S. and Zaidi, N.
    Scalable Learning of Bayesian Network Classifiers
    Journal of Machine Learning Research, 17, pp. 1-35 (2016)
    [pdf]
  • Zaidi, N. and Cerquides, J. and Carman, M. and Webb, G.
    Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
    Journal of Machine Learning Research, 14, pp. 1947-1988 (2013)
    [pdf] [code]

Referred Conference Publications

  • Dhar, J. and Zaidi, N. and Haghighat, M. and Goyal, P. and Alavi, A. and Roy, S. and Kumar, V.
    Multimodal Fusion Learning with Dual Attention for Medical Imaging
    WACV2025: IEEE/CVF Winter Conference on Applications of Computer Vision (2025)
    Coming Soon
  • Hou, Z. and Ofoghi, B. and Zaidi, N. and Yearwood, J.
    Aspect-based fake news detection
    PAKDD2024: Advances in Knowledge Discovery and Data Mining (2024)
    Coming Soon
  • Zhang, Y. and Zaidi, N. and Li, G. and Buntine, W.
    MEG: Masked Ensemble Tabular Data Generator
    ICDM2023: IEEE International Conference on Data Mining (2023)
    [pdf]
  • Mashrur, A. and Luo, W. and Zaidi, N. and Robles-Kelly, A.
    Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles
    DICTA2023: Digital Image Computing: Techniques and Applications (2023)
    [Link Coming Soon]
  • Liu, Y. and Zhang, Y. and Cao, Y. and Zhu, Y. and Zaidi, N. and Ranaweera, C. and Li, G. and Zhu, Q.
    Kernel-based feature extraction for time series clustering
    International Conference on Knowledge Science, Engineering and Management (2023)
    [Link]
  • Hou, Z. and Ofoghi, B. and Zaidi, N. and Mammadov, M. and Huda, S. and Yearwood, J.
    Advancing Text Summarization through the Utilization of Arbitrary Aspect Learning
    MDAI2023: The 20th International Conference on Modeling Decisions for Artificial Intelligence (2023)
    [Link]
  • Zhou, J. and Zaidi, N. and Zhang, Y. and Montague, P. and Kim, J and Li, G.
    Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets
    PAKDD2023: Advances in Knowledge Discovery and Data Mining (2023)
    [Link]
  • Jing, M. and Luo, W. and Zaidi, N. and Wang, J.
    Novel-Domain Object Segmentation via Reliability-Aware Teacher Ensemble
    IEEEHPCC2022: IEEE International Conference on High Performance Computing and Communications (2022)
    [Link]
  • Mashrur, A. and Luo, W. and Zaidi, N. and Robles-Kelly, A.
    Semantic Multi-modal Reprojection for Robust Visual Question Answering
    DICTA2022: Digital Image Computing: Techniques and Applications (2022)
    [Link]
  • Zhou, J. and Zhang, Y. and Zaidi, N. and Li, G.
    Discretization inspired defence Algorithm against Adversarial Attacks on Tabular Data
    PAKDD2022: Advances in Knowledge Discovery and Data Mining (2022)
    [Link]
  • Zhang, Y. and Zaidi, N. and Zhou, J. and Li, G.
    GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks
    SDM2022: SIAM International Conference on Data Mining (2022)
    [pdf]
  • Zhang, Y. and Zaidi, N. and Zhou, J. and Li, G.
    GANBLR: A Tabular Data Generation Model
    ICDM2021: IEEE International Conference on Data Mining (2021)
    [pdf]
  • Mashrur, A. and Luo, W. and Zaidi, N. and Robles-Kelly, A.
    Robust Neural Regression via uncertainty learning
    IJCNN2021: The International Joint Conference on Neural Networks (2021)
    [pdf]
  • Li, S. and Zaidi, N. and Liu, Q. and Li, G.
    Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network
    PAKDD2021: Advances in Knowledge Discovery and Data Mining (2021)
    [pdf]
  • Zaidi, N. and Petitjean, F. and Webb, G.
    Efficient and Effective Accelerated Higher-order Logistic Regression for Large Data Quantities
    SDM2018: SIAM International Conference on Data Mining, (2018)
    [pdf]
  • 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 Webb, G.
    Fast and Efficient Single Pass Bayesian Learning
    PAKDD2012: 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
    DICTA2010: 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
    AI2010: Advances in Artificial Intelligence, pp. 194-203 (2010)
    [doi] [pdf] [slides]
  • Zaidi, N. and Squire, D.
    SVMs and Data Dependent Distance Metric
    IVCNZ2010: Image and Vision Computing New Zealand, pp. 1-7 (2010)
    [doi] [pdf]
  • Zaidi, N. and Squire, D. and Suter, D.
    BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification
    PAKDD2010: 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
    AI2010: Advances in Artificial Intelligence, pp. 82-91 (2010)
    [doi] [pdf]
  • Zaidi, N. and Suter, D.
    Confidence rated boosting algorithm for generic object detection
    ICPR2008: 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
    DICTA2008: 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]
  • Zaidi, N.
    Generic Object Recognition
    B.Sc (Hons) Final Year Thesis, 2005