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]
- Zaidi, N. and Webb, G. and Carman,
M. and Petitjean, F. and Buntine, W. and Hynes, M. and De Sterck, H. Efficient Parameter Learning
of Bayesian Network Classifiers Machine Learning, Volume 106, Issue 9-10, pp.
1289-1329 (2017) [doi][pre-publication pdf] [code]
- Zaidi, N. and Webb, G. and Carman,
M. and Petitjean, F. and Cerquides, J. ALRn:
Accelerated Higher-Order Logistic Regression Machine Learning, Volume 104, Issue
2, pp. 151-194 (2016) [doi] [pre-publication pdf] [code] [Slides] [Errata]
- 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 Petitjean, F. and Webb, G. Preconditioning an
Artificial Neural Network Using Naive Bayes PAKDD2016: 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 ICDM2014: 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 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