Nayyar Abbas Zaidi

According to our database, Nayyar Abbas Zaidi authored at least 39 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Property graph representation learning for node classification.

Shu Li, Nayyar Abbas Zaidi, Meijie Du, Zhou Zhou, Hongfei Zhang, Gang Li

Knowl. Inf. Syst., January, 2024

Improving neural network's robustness on tabular data with D-layers.

Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li

Data Min. Knowl. Discov., January, 2024

Robust visual question answering via semantic cross modal augmentation.

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

Comput. Vis. Image Underst., January, 2024

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., November, 2023

Interpretable tabular data generation.

Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li

Knowl. Inf. Syst., July, 2023

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Kernel-Based Feature Extraction for Time Series Clustering.

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

Proceedings of the Knowledge Science, Engineering and Management, 2023

MEG: Masked Ensemble Tabular Data Generator.

Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine

Proceedings of the IEEE International Conference on Data Mining, 2023

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles.

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

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty.

Dhananjay R. Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

Swarm Evol. Comput., 2022

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling.

Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li

CoRR, 2022

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

Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data.

Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble.

Jing Miao, Wei Luo, Nayyar Abbas Zaidi, Jinlong Wang

Proceedings of the 24th IEEE 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, 2022

2021

Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network.

Shu Li, Nayyar Abbas Zaidi, Qingyun Liu, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Robust Neural Regression via Uncertainty Learning.

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

Proceedings of the International Joint Conference on Neural Networks, 2021

GANBLR: A Tabular Data Generation Model.

Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers.

Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb

IEEE Access, 2020

Machine Learning for Financial Risk Management: A Survey.

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

IEEE Access, 2020

2019

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

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

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

Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities.

Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

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

A Fast Trust-Region Newton Method for Softmax Logistic Regression.

Nayyar Abbas Zaidi, Geoffrey I. Webb

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

ALRⁿ: accelerated higher-order logistic regression.

Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides

Mach. Learn., 2016

Scalable Learning of Bayesian Network Classifiers.

Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar Abbas Zaidi

J. Mach. Learn. Res., 2016

Preconditioning an Artificial Neural Network Using Naive Bayes.

Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Artificial Neural Network: Deep or Broad? An Empirical Study.

Nian Liu, Nayyar Abbas Zaidi

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

Deep Broad Learning - Big Models for Big Data.

Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean

CoRR, 2015

2014

Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression.

Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

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

Fast and Effective Single Pass Bayesian Learning.

Nayyar Abbas Zaidi, Geoffrey I. Webb

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2010

BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification.

Nayyar Abbas Zaidi, David McG. Squire, David Suter

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Local Adaptive SVM for Object Recognition.

Nayyar Abbas Zaidi, David McG. Squire

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

A Gradient-Based Metric Learning Algorithm for k-NN Classifiers.

Nayyar Abbas Zaidi, David McG. Squire, David Suter

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Database Normalization as a By-product of Minimum Message Length Inference.

David L. Dowe, Nayyar Abbas Zaidi

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2008

Confidence rated boosting algorithm for generic object detection.

Nayyar Abbas Zaidi, David Suter

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Object Detection Using a Cascade of Classifiers.

Nayyar Abbas Zaidi, David Suter

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008