Richi Nayak

Richi Nayak

Queensland University of Technology

H-index: 34

Oceania-Australia

About Richi Nayak

Richi Nayak, With an exceptional h-index of 34 and a recent h-index of 19 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Data Mining, Pattern Mining, Personalisation, Text Mining, XML.

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

Multi-view feature engineering for day-to-day joint clustering of multiple traffic datasets

DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering

Twitter’s pulse on hydrogen energy in 280 characters: a data perspective

Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets using an Imputation Approach

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization

Deep Learning-Based Methods for Multi-aspect Data Clustering

Enhanced Topic Modeling with Multi-modal Representation Learning

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN

Richi Nayak Information

University

Position

Associate Professor

Citations(all)

4459

Citations(since 2020)

1585

Cited By

3415

hIndex(all)

34

hIndex(since 2020)

19

i10Index(all)

125

i10Index(since 2020)

50

Email

University Profile Page

Queensland University of Technology

Google Scholar

View Google Scholar Profile

Richi Nayak Skills & Research Interests

Data Mining

Pattern Mining

Personalisation

Text Mining

XML

Top articles of Richi Nayak

Title

Journal

Author(s)

Publication Date

Multi-view feature engineering for day-to-day joint clustering of multiple traffic datasets

Transportation Research Part C: Emerging Technologies

Shubham Sharma

Richi Nayak

Ashish Bhaskar

2024/5/1

DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering

Knowledge-Based Systems

Sohan Gunawardena

Khanh Luong

Thirunavukarasu Balasubramaniam

Richi Nayak

2024/2/15

Twitter’s pulse on hydrogen energy in 280 characters: a data perspective

Social Network Analysis and Mining

Deepak Uniyal

Richi Nayak

2024/2/1

Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets using an Imputation Approach

ACM Transactions on Knowledge Discovery from Data

Sharon Torao Pingi

Richi Nayak

Md Abul Bashar

2024

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization

International Journal of Data Science and Analytics

Thirunavukarasu Balasubramaniam

David J Warne

Richi Nayak

Kerrie Mengersen

2023/4

Deep Learning-Based Methods for Multi-aspect Data Clustering

Richi Nayak

Khanh Luong

2023/7/28

Enhanced Topic Modeling with Multi-modal Representation Learning

Duoyi Zhang

Yue Wang

Md Abul Bashar

Richi Nayak

2023/5/25

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN

arXiv preprint arXiv:2308.06663

Md Abul Bashar

Richi Nayak

2023/8/13

An Informed Neural Network for Discovering Historical Documentation Assisting the Repatriation of Indigenous Ancestral Human Remains

Social Science Computer Review

Md Abul Bashar

Richi Nayak

Gareth Knapman

Paul Turnbull

Cressida Fforde

2023/12

Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains

arXiv preprint arXiv:2303.14475

Md Abul Bashar

Richi Nayak

Gareth Knapman

Paul Turnbull

Cressida Fforde

2023/3/25

Robotics, Control and Computer Vision: Select Proceedings of ICRCCV 2022

Hariharan Muthusamy

János Botzheim

Richi Nayak

2023/5/25

Learning Consensus and Complementary Information for Multi-aspect Data Clustering

Richi Nayak

Khanh Luong

2023/7/28

NMF and Manifold Learning for Multi-aspect Data

Richi Nayak

Khanh Luong

2023/7/28

Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell

Intelligent Systems with Applications

Yue Wang

Md Abul Bashar

Mahinthan Chandramohan

Richi Nayak

2023/11/1

Machine learning for predicting propensity-to-pay energy bills

Intelligent Systems with Applications

Md Abul Bashar

Richi Nayak

Kieren Astin-Walmsley

Kerina Heath

2023/2/1

DAC: Discriminative Associative Classification

SN Computer Science

Majid Seyfi

Yue Xu

Richi Nayak

2023/5/17

GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data

Ahmed Shoeb Talukder

Richi Nayak

Md Abul Bashar

2023/10/21

Non-negative Matrix Factorization-Based Multi-aspect Data Clustering

Richi Nayak

Khanh Luong

2023/7/28

Subspace Learning for Multi-aspect Data

Richi Nayak

Khanh Luong

2023/7/28

Machine learning for safety hazard identification in construction

Carol KH Hon

Chenjunyan Sun

Richi Nayak

2023/5/12

See List of Professors in Richi Nayak University(Queensland University of Technology)

Co-Authors

H-index: 28
Dr Namita Mittal

Dr Namita Mittal

Malaviya National Institute of Technology, Jaipur

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