Nayyar Zaidi

Nayyar Zaidi

Deakin University

H-index: 12

Oceania-Australia

About Nayyar Zaidi

Nayyar Zaidi, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Deakin University, specializes in the field of Machine Learning, Deep Learning, Artificial Intelligence, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Aspect-Based Fake News Detection

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty

Robust visual question answering via semantic cross modal augmentation

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

Property graph representation learning for node classification

MEG: Masked Ensemble Tabular Data Generator

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles

Aspect-based automated evaluation of dialogues

Nayyar Zaidi Information

University

Position

___

Citations(all)

823

Citations(since 2020)

585

Cited By

417

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

16

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Nayyar Zaidi Skills & Research Interests

Machine Learning

Deep Learning

Artificial Intelligence

Data Science

Top articles of Nayyar Zaidi

Aspect-Based Fake News Detection

2024/4/25

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty

International Journal of Production Research

2024/2/2

Robust visual question answering via semantic cross modal augmentation

Computer Vision and Image Understanding

2024/1/1

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

Data Mining and Knowledge Discovery

2024/1

Nayyar Zaidi
Nayyar Zaidi

H-Index: 8

Gang Li
Gang Li

H-Index: 7

Property graph representation learning for node classification

Knowledge and Information Systems

2024/1

MEG: Masked Ensemble Tabular Data Generator

2023/12/1

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles

2023/11/28

Aspect-based automated evaluation of dialogues

Knowledge-Based Systems

2023/11/4

Conserving nature's chorus: Local and landscape features promoting frog species richness in farm dams

Biological Conservation

2023/10/1

Kernel-Based Feature Extraction for Time Series Clustering

2023/8/9

Interpretable tabular data generation

Knowledge and Information Systems

2023/7

Nayyar Zaidi
Nayyar Zaidi

H-Index: 8

Gang Li
Gang Li

H-Index: 7

Enhancing frog species richness at continental scales through farm dam management

Authorea Preprints

2023/3/30

On the use of Machine Learning methods in rock art research with application to automatic painted rock art identification

Journal of Archaeological Science

2022/8/1

Discretization inspired defence algorithm against adversarial attacks on tabular data

2022/5/11

Nayyar Zaidi
Nayyar Zaidi

H-Index: 8

Gang Li
Gang Li

H-Index: 7

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

Swarm and Evolutionary Computation

2022/3/1

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

2022

Nayyar Zaidi
Nayyar Zaidi

H-Index: 8

Gang Li
Gang Li

H-Index: 7

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble

2022/12/18

Semantic multi-modal reprojection for robust visual question answering

2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

2022/11/30

GANBLR: a tabular data generation model

2021/12/7

Robust Neural Regression via Uncertainty Learning

2021/7/18

See List of Professors in Nayyar Zaidi University(Deakin University)

Co-Authors

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