Object Detection Using a Cascade of Classifiers. - Nayyar Abbas Zaidi; David Suter (DICTA, 2008)

Confidence rated boosting algorithm for generic object detection. - Nayyar Abbas Zaidi; David Suter (ICPR, 2008)

Database Normalization as a By-product of Minimum Message Length Inference. - David L. Dowe; Nayyar Abbas Zaidi (Australasian Conference on Artificial Intelligence, 2010)

A Gradient-Based Metric Learning Algorithm for k-NN Classifiers. - Nayyar Abbas Zaidi; David McG. Squire; David Suter (Australasian Conference on Artificial Intelligence, 2010)

Local Adaptive SVM for Object Recognition. - Nayyar Abbas Zaidi; David McG. Squire (DICTA, 2010)

BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification. - Nayyar Abbas Zaidi; David McG. Squire; David Suter (PAKDD (1), 2010)

Fast and Effective Single Pass Bayesian Learning. - Nayyar Abbas Zaidi; Geoffrey I. Webb (PAKDD (1), 2013)

Alleviating naive Bayes attribute independence assumption by attribute weighting. - Nayyar Abbas Zaidi; Jesús Cerquides; Mark James Carman; Geoffrey I. Webb (J. Mach. Learn. Res., 2013)

Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. - Nayyar Abbas Zaidi; Mark James Carman; Jesús Cerquides; Geoffrey I. Webb (ICDM, 2014)

Deep Broad Learning - Big Models for Big Data. - Nayyar Abbas Zaidi; Geoffrey I. Webb; Mark James Carman; François Petitjean (CoRR, 2015)

Artificial Neural Network: Deep or Broad? An Empirical Study. - Nian Liu; Nayyar Abbas Zaidi (Australasian Conference on Artificial Intelligence, 2016)

Preconditioning an Artificial Neural Network Using Naive Bayes. - Nayyar Abbas Zaidi; François Petitjean; Geoffrey I. Webb (PAKDD (1), 2016)

Scalable Learning of Bayesian Network Classifiers. - Ana M. Martínez; Geoffrey I. Webb; Shenglei Chen; Nayyar Abbas Zaidi (J. Mach. Learn. Res., 2016)

ALRn: accelerated higher-order logistic regression. - Nayyar Abbas Zaidi; Geoffrey I. Webb; Mark James Carman; François Petitjean; Jesús Cerquides (Mach. Learn., 2016)

A Fast Trust-Region Newton Method for Softmax Logistic Regression. - Nayyar Abbas Zaidi; Geoffrey I. Webb (SDM, 2017)

Efficient parameter learning of Bayesian network classifiers. - Nayyar Abbas Zaidi; Geoffrey I. Webb; Mark James Carman; François Petitjean; Wray L. Buntine; Mike Hynes; Hans De Sterck (Mach. Learn., 2017)

Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities. - Nayyar Abbas Zaidi; François Petitjean; Geoffrey I. Webb (SDM, 2018)

On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error. - Nayyar Abbas Zaidi; Geoffrey I. Webb; François Petitjean; Germain Forestier (CoRR, 2018)

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. - François Petitjean; Wray L. Buntine; Geoffrey I. Webb; Nayyar Abbas Zaidi (Mach. Learn., 2018)

Proximity Forest: an effective and scalable distance-based classifier for time series. - Benjamin Lucas; Ahmed Shifaz; Charlotte Pelletier; Lachlan O'Neill; Nayyar Abbas Zaidi; Bart Goethals; François Petitjean; Geoffrey I. Webb (Data Min. Knowl. Discov., 2019)

Machine Learning for Financial Risk Management: A Survey. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (IEEE Access, 2020)

On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. - Nayyar Abbas Zaidi; Yang Du; Geoffrey I. Webb (IEEE Access, 2020)

GANBLR: A Tabular Data Generation Model. - Yishuo Zhang; Nayyar Abbas Zaidi; Jiahui Zhou; Gang Li 009 (ICDM, 2021)

Robust Neural Regression via Uncertainty Learning. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (IJCNN, 2021)

Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network. - Shu Li; Nayyar Abbas Zaidi; Qingyun Liu 001; Gang Li 009 (PAKDD (1), 2021)

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble. - Jing Miao; Wei Luo 001; Nayyar Abbas Zaidi; Jinlong Wang (HPCC/DSS/SmartCity/DependSys, 2022)

Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data. - Jiahui Zhou; Nayyar Abbas Zaidi; Yishuo Zhang; Gang Li 009 (PAKDD (2), 2022)

GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks. - Yishuo Zhang; Nayyar Abbas Zaidi; Jiahui Zhou; Gang Li 009 (SDM, 2022)

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling. - Dhananjay R. Thiruvady; Su Nguyen; Yuan Sun 003; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (CoRR, 2022)

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty. - Dhananjay R. Thiruvady; Su Nguyen; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (Swarm Evol. Comput., 2022)

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (DICTA, 2023)

MEG: Masked Ensemble Tabular Data Generator. - Yishuo Zhang; Nayyar Abbas Zaidi; Gang Li 009; Wray L. Buntine (ICDM, 2023)

Kernel-Based Feature Extraction for Time Series Clustering. - Yuhang Liu; Yi Zhang; Yang Cao 019; Ye Zhu 002; Nayyar Zaidi; Chathu Ranaweera 001; Gang Li 009; Qingyi Zhu (KSEM (1), 2023)

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. - Jiahui Zhou; Nayyar Abbas Zaidi; Yishuo Zhang; Paul Montague; Junae Kim; Gang Li 009 (PAKDD (1), 2023)

Interpretable tabular data generation. - Yishuo Zhang; Nayyar Abbas Zaidi; Jiahui Zhou; Gang Li 009 (Knowl. Inf. Syst., 2023)

Aspect-based automated evaluation of dialogues. - Arash Shabanpour; Ziwei Hou; Muhammad Akbar Husnoo; Khanh Linh Nguyen; John Yearwood; Nayyar Abbas Zaidi (Knowl. Based Syst., 2023)

Aspect-Based Fake News Detection. - Ziwei Hou; Bahadorreza Ofoghi; Nayyar Zaidi; John Yearwood (PAKDD (6), 2024)

Fruit Classification System with Deep Learning and Neural Architecture Search. - Christine Dewi; Dhananjay R. Thiruvady; Nayyar Zaidi (CoRR, 2024)

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty. - Dhananjay R. Thiruvady; Su Nguyen; Yuan Sun 003; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (Int. J. Prod. Res., 2024)

Robust visual question answering via semantic cross modal augmentation. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (Comput. Vis. Image Underst., 2024)

Improving neural network's robustness on tabular data with D-layers. - Haiyang Xia; Nayyar Zaidi; Yishuo Zhang; Gang Li 009 (Data Min. Knowl. Discov., 2024)

Property graph representation learning for node classification. - Shu Li; Nayyar Abbas Zaidi; Meijie Du; Zhou Zhou 007; Hongfei Zhang; Gang Li 009 (Knowl. Inf. Syst., 2024)

Effective interpretable learning for large-scale categorical data. - Yishuo Zhang; Nayyar Zaidi; Jiahui Zhou; Tao Wang; Gang Li 009 (Data Min. Knowl. Discov., 2024)

Multimodal Fusion Learning with Dual Attention for Medical Imaging. - Joy Dhar; Nayyar Zaidi; Maryam Haghighat; Sudipta Roy 002; Puneet Goyal; Azadeh Alavi; Vikas Kumar (WACV, 2025)