Dr Nayyar Zaidi

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble

J Miao, W Luo, N Zaidi, J Wang

(2023), pp. 761-768, HPCC/DSS/SmartCity/DependSys 2022 : Proceedings of the 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application Combined Conference, Hainan, China, E1

Advancing Text Summarization through the Utilization of Arbitrary Aspect Learning

Hou Ziwei, Bahadorreza Ofoghi, Nayyar Zaidi, Mammadov Musa, Huda Shamsul, Yearwood John

(2023), pp. 22-33, MDAI 2023 : Proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence 2023, Umeå, Sweden, E1

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets

Jiahui Zhou, Nayyar Zaidi, Yishuo Zhang, Paul Montague, Kim Junae, Gang Li

(2023), pp. 147-158, PAKDD 2023 : Advances in knowledge discovery and data mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, proceedings, Osaka, Japan, E1

Kernel-Based Feature Extraction for Time Series Clustering

Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Zhu Qingyi

(2023), pp. 276-283, KSEM 2023 : Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, Guangzhou, China, E1

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles

A Mashrur, W Luo, N Zaidi, A Robles-Kelly

(2023), pp. 478-485, DICTA 2023 : Proceedings of the 2023 International Conference on Digital Image Computing: Techniques and Applications, Port Macquarie, N.S.W., E1

MEG: Masked Ensemble Tabular Data Generator

Y Zhang, N Zaidi, G Li, W Buntine

(2023), pp. 838-847, ICDM 2023 : Proceedings of the 2023 IEEE International Conference on Data Mining, Shanghai, China, E1

Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data

Jiahui Zhou, Nayyar Zaidi, Yishuo Zhang, Gang Li

(2022), Vol. LNAI 13281, pp. 367-379, PAKDD 2022 : Pacific Asia Conference : Proceedings of Advances in Knowledge Discovery and Data Mining 2022 conference, Chengdu, China, E1

GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks

Y Zhang, N Zaidi, J Zhou, G Li

(2022), pp. 298-306, SIAM 2022 : Proceedings of SIAM Data Mining 2022 Conference, Virtual, E1

Semantic multi-modal reprojection for robust visual question answering

Akib Mashrur, Wei Luo, Nayyar Zaidi, Antonio Robles-Kelly

(2022), DICTA 2022: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications 2022, Sydney, N.S.W., E1

Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network

Shu Li, Nayyar Zaidi, Qingyun Liu, Gang Li

(2021), Vol. 12712, pp. 434-446, PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Virtual Event, E1

Robust Neural Regression via Uncertainty Learning

A Mashrur, W Luo, N Zaidi, A Robles-Kelly

(2021), pp. 1-6, IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks, Shenzhen, China, E1

GANBLR: A Tabular Data Generation Model

Y Zhang, N Zaidi, J Zhou, G Li

(2021), pp. 916-925, ICDM 2021 : Proceedings of the 2021 IEEE International Conference on Data Mining, Auckland, New Zealand, E1

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

François Petitjean, Wray Buntine, Geoffrey Webb, Nayyar Zaidi

(2018), Vol. 107, pp. 1303-1331, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, E1-1

Efficient and effective accelerated hierarchical higher-order logistic regression for large data quantities

Nayyar Zaidi, Francois Petitjean, Geoff Webb

(2018), pp. 459-467, SDM2018 : Proceedings of the 2018 SIAM International Conference on Data Mining, San Diego, California, E1-1

A fast trust-region Newton method for softmax logistic regression

Nayyar Zaidi, Zaidi Webb

(2017), pp. 705-713, SDM 2017 : Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, E1-1

Artificial neural network: Deep or broad? An empirical study

Nayyar Zaidi, Nian Liu

(2016), Vol. 9992, pp. 535-541, AI 2016: Advances in Artificial Intelligence 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings, Hobart, Tasmania, E1-1

Preconditioning an artificial neural network using naive bayes

Nayyar Zaidi, Francois Petitjean, Geoff Webb

(2016), Vol. 9651, pp. 341-353, PAKDD 2016 : Advances in knowledge discovery and data mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings., Auckland, New Zealand, E1-1

Naive-bayes inspired effective pre-conditioner for speeding-up logistic regression

Nayyar Zaidi, Mark Carman, Jesus Cerquides, Geoffrey Webb

(2014), pp. 1097-1102, ICDM 2014 : Proceedings of the 14th IEEE International Conference on Data Mining, Shenzhen, China, E1-1

Fast and efficient single pass bayesian learning

Nayyar Zaidi, Geoff Webb

(2013), Vol. 7818, pp. 149-160, PAKDD 2013 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 17th Pacific-Asia Conference, Gold Coast, Qld. Part 1, Gold Coast, Qld., E1-1

Local adaptive SVM for object recognition

N Zaidi, D Squire

(2010), pp. 196-201, Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010, E1-1

SVMs and data dependent distance metric

N Zaidi, D Squire

(2010), International Conference Image and Vision Computing New Zealand, E1-1

Database normalization as a by-product of minimum message length inference

D Dowe, N Zaidi

(2010), Vol. 6464 LNAI, pp. 82-91, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Univ S Australia, Adelaide, AUSTRALIA, E1-1

BoostML: An adaptive metric learning for nearest neighbor classification

N Zaidi, D Squire, D Suter

(2010), Vol. 6118 LNAI, pp. 142-149, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Hyderabad, INDIA, E1-1

A gradient-based metric learning algorithm for k-NN classifiers

N Zaidi, D Squire, D Suter

(2010), Vol. 6464 LNAI, pp. 194-203, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Univ S Australia, Adelaide, AUSTRALIA, E1-1

Object detection using a cascade of classifiers

N Zaidi, D Suter

(2008), pp. 600-605, Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008, E1-1

Confidence rated boosting algorithm for generic object detection

N Zaidi, D Suter

(2008), pp. 3221-3224, Proceedings - International Conference on Pattern Recognition, FL, Tampa, E1-1