Publications

Complete list, newest first. 50 peer-reviewed works — 30 refereed journal articles and 20 refereed conference papers — plus preprints and doctoral thesis. Citation counts and PDFs are on Google Scholar; a selected list with citation counts is on the home page.

50Peer-reviewed
1,091Citations
18h-index
23i10-index

Citation metrics from Google Scholar, October 2026.

Refereed journal and conference publications

2026 5 journal

  • JournalD. Zhang, M. A. Bashar & R. Nayak (2026). Deep Kernel Learning Enhanced Fusion for Multimodal Classification. Neural Networks, 109223.
  • JournalA. E. Bora, D. Zhang, H. Thinyane, M. A. Bashar, R. Nayak & K. Mengersen (2026). AIMS-QA: A Framework for Scaling the Assessment of Corporate Modern Slavery Statements Beyond Compliance with AI-Driven Question Answering. Data & Policy, 8, e53.
  • JournalA. E. Bora, D. Zhang, M. A. Bashar, R. Nayak & K. Mengersen (2026). AIMSDistill: Distilling Knowledge from Specialised AI Teachers for Cross-Jurisdictional Compliance Analysis of Modern Slavery Statements. Expert Systems with Applications, 133691.
  • JournalY. Wang, D. Zhang, M. A. Bashar, M. Chandramohan & R. Nayak (2026). LETNER: Label-EfficienT Named Entity Recognition for Cyber Threat Intelligence. Expert Systems with Applications, 132470.
  • JournalD. Uniyal, M. A. Bashar & R. Nayak (2026). MetaGAN: Multi-view Consistency Regularisation with Conditional GAN Augmentation for Semi-supervised Text Classification. Intelligent Systems with Applications, 31, 200706.

2025 6 journal, 3 conference

  • JournalD. Zhang, M. A. Bashar, R. Nayak & L. Cuttle (2025). A Novel Modality Contribution Confidence-enhanced Multimodal Deep Learning Framework for Multiomics Data. BMC Bioinformatics, 26(1), 271.
  • JournalD. Zhang, M. A. Bashar & R. Nayak (2025). A Novel Multi-modal Fusion Method Based on Uncertainty-guided Meta-learning. Pattern Recognition, 158, 110993.
  • JournalM. A. Bashar & R. Nayak (2025). Chatting with Organisational Data: A Generative AI Approach Applied to Scientific Reports for Information Seeking. Knowledge and Information Systems, 67(11), 10657–10690.
  • JournalY. Wang, R. Nayak, M. A. Bashar & M. Chandramohan (2025). Latent Space Refinement for Unsupervised Cyber Threat Text Classification. Knowledge-Based Systems, 114399.
  • JournalD. Uniyal, R. Nayak & M. A. Bashar (2025). Uncertainty-based Consistency Regularisation for Text Classification with Limited Labels. Knowledge-Based Systems, 115227.
  • JournalM. A. Bashar & R. Nayak (2025). ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN. International Journal of Data Science and Analytics, 20(6), 5719–5737.
  • ConfD. Uniyal, M. A. Bashar & R. Nayak (2025). Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data. Australasian Conference on Data Science and Machine Learning (AusDSML), 501–515.
  • ConfD. K. Nguyen, D. Zhang, M. A. Bashar & R. Nayak (2025). Unveiling Reliability in Multi-omics Classification: Fusion, Calibration, and Dynamic Scaling. Australasian Conference on Data Science and Machine Learning (AusDSML), 63–78.
  • ConfA. E. Bora, A. Arodi, D. Zhang, J. Bannister, M. Bronzi, A. F. Tchango, M. A. Bashar, R. Nayak & K. Mengersen (2025). AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 9109–9135.

2024 3 journal, 1 conference

  • JournalS. T. Pingi, R. Nayak & M. A. Bashar (2024). Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach. ACM Transactions on Knowledge Discovery from Data, 18(5), 1–25.
  • JournalS. T. Pingi, D. Zhang, M. A. Bashar & R. Nayak (2024). Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. Data Science and Engineering, 9(1), 5–25.
  • JournalD. Zhang, R. Nayak & M. A. Bashar (2024). Pre-gating and Contextual Attention Gate—A New Fusion Method for Multi-modal Data Tasks. Neural Networks, 179, 106553.
  • ConfD. Zhang, Y. Wang, R. Nayak & M. A. Bashar (2024). Topic Models Meet LLMs: Generating Insightful Questions from User Feedback. Australasian Conference on Data Science and Machine Learning (AusDSML), 197–212.

2023 4 journal, 2 conference

  • JournalM. A. Bashar, R. Nayak, G. Knapman, P. Turnbull & C. Fforde (2023). An Informed Neural Network for Discovering Historical Documentation Assisting the Repatriation of Indigenous Ancestral Human Remains. Social Science Computer Review, 41(6), 2293–2317.
  • JournalY. Wang, M. A. Bashar, M. Chandramohan & R. Nayak (2023). Exploring Topic Models to Discern Cyber Threats on Twitter: A Case Study on Log4Shell. Intelligent Systems with Applications, 20, 200280.
  • JournalS. Cunningham, M. Laundon, A. Cathcart, M. A. Bashar & R. Nayak (2023). First, Do No Harm: Automated Detection of Abusive Comments in Student Evaluation of Teaching Surveys. Assessment & Evaluation in Higher Education, 48(3), 377–389.
  • JournalM. A. Bashar, R. Nayak, K. Astin-Walmsley & K. Heath (2023). Machine Learning for Predicting Propensity-to-Pay Energy Bills. Intelligent Systems with Applications, 17, 200176.
  • ConfD. Zhang, Y. Wang, M. A. Bashar & R. Nayak (2023). Enhanced Topic Modeling with Multi-modal Representation Learning. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 393–404.
  • ConfA. S. Talukder, R. Nayak & M. A. Bashar (2023). GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. International Conference on Web Information Systems Engineering (WISE), 633–642.

2022 2 journal, 1 conference

  • JournalM. A. Bashar, R. Nayak & T. Balasubramaniam (2022). Deep Learning Based Topic and Sentiment Analysis: COVID-19 Information Seeking on Social Media. Social Network Analysis and Mining, 12(1), 90.
  • JournalK. Luong, R. Nayak, T. Balasubramaniam & M. A. Bashar (2022). Multi-layer Manifold Learning for Deep Non-negative Matrix Factorization-based Multi-view Clustering. Pattern Recognition, 131, 108815.
  • ConfS. T. Pingi, M. A. Bashar & R. Nayak (2022). A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. Australasian Conference on Data Mining (AusDM), 133–147.

2021 3 journal, 2 conference

  • JournalM. A. Bashar & R. Nayak (2021). Active Learning for Effectively Fine-tuning Transfer Learning to Downstream Task. ACM Transactions on Intelligent Systems and Technology (TIST), 12(2), 1–24.
  • JournalT. Balasubramaniam, R. Nayak, K. Luong & M. A. Bashar (2021). Identifying COVID-19 Misinformation Tweets and Learning Their Spatio-temporal Topic Dynamics Using Nonnegative Coupled Matrix Tensor Factorization. Social Network Analysis and Mining, 11(1), 57.
  • JournalM. A. Bashar, R. Nayak, K. Luong & T. Balasubramaniam (2021). Progressive Domain Adaptation for Detecting Hate Speech on Social Media with Small Training Set and Its Application to COVID-19 Concerned Posts. Social Network Analysis and Mining, 11(1), 69.
  • ConfM. A. Bashar, R. Nayak, A. Kothare, V. Sharma & K. Kandadai (2021). Deep Learning for Bias Detection: From Inception to Deployment. Australasian Conference on Data Mining (AusDM), 86–101.
  • ConfD. Zhang, R. Nayak & M. A. Bashar (2021). Exploring Fusion Strategies in Deep Learning Models for Multi-modal Classification. Australasian Conference on Data Mining (AusDM), 102–117.

2020 1 journal, 2 conference

  • JournalM. A. Bashar, R. Nayak & N. Suzor (2020). Regularising LSTM Classifier by Transfer Learning for Detecting Misogynistic Tweets with Small Training Set. Knowledge and Information Systems.
  • ConfT. Balasubramaniam, R. Nayak & M. A. Bashar (2020). Understanding the Spatio-temporal Topic Dynamics of COVID-19 Using Nonnegative Tensor Factorization: A Case Study. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1218–1225.
  • ConfM. A. Bashar & R. Nayak (2020). TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1778–1785.

2019 1 conference

  • ConfM. A. Bashar & R. Nayak (2019). QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. Working Notes of FIRE 2019 — Forum for Information Retrieval Evaluation.

2018 1 journal, 2 conference

  • JournalM. A. Bashar & Y. Li (2018). Interpretation of Text Patterns. Data Mining and Knowledge Discovery, 32(4), 849–884.
  • ConfM. A. Bashar, R. Nayak, N. P. Suzor & B. Weir (2018). Misogynistic Tweet Detection: Modelling CNN with Small Datasets. Australasian Data Mining Conference (AusDM).
  • ConfA. S. Alharbi, M. A. Bashar & Y. Li (2018). Random-Sets for Dealing with Uncertainties in Relevance Feature. Australasian Joint Conference on Artificial Intelligence (AJCAI), 656–668.

2017 2 journal, 1 conference

  • JournalM. A. Bashar, Y. Li, Y. Shen, Y. Gao & W. Huang (2017). Conceptual Annotation of Text Patterns. Computational Intelligence, 33(4), 948–979.
  • JournalY. Gao, Y. Li, R. Y. K. Lau, Y. Xu & M. A. Bashar (2017). Finding Semantically Valid and Relevant Topics by Association-based Topic Selection Model. ACM Transactions on Intelligent Systems and Technology (TIST), 9(1), 1–22.
  • ConfM. A. Bashar & Y. Li (2017). Random Set to Interpret Topic Models in Terms of Ontology Concepts. Australasian Joint Conference on Artificial Intelligence (AJCAI), 237–249.

2016 1 conference

  • ConfM. A. Bashar, Y. Li & Y. Gao (2016). A Framework for Automatic Personalised Ontology Learning. 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 105–112.

2014 1 journal, 1 conference

  • JournalM. A. Bashar, M. T. Ahmed, M. Syduzzaman, P. Jyoti Ray, A. Z. M. Touhidul Islam & others (2014). Text-independent Speaker Identification System Using Average Pitch and Formant Analysis. International Journal on Information Theory (IJIT), 3(3), 23–30.
  • ConfM. A. Bashar, Y. Li, Y. Shen & M. Albathan (2014). Interpreting Discovered Patterns in Terms of Ontology Concepts. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 432–437.

2012 1 journal

  • JournalM. A. Bashar, M. Islam, M. A. Chowdhury, M. P. Sajjad & M. T. Ahmed (2012). Concept for a Web Map Implementation with Faster Query Response. Journal of Information Engineering and Applications, 2(1), 30–37.

2010 1 journal

  • JournalM. A. Bashar, M. M. Rahman, A. A. Rahed, M. M. A. Chowdhury & M. P. Sajjad (2010). A Role Based Address Cleaner. International Journal of Information Sciences and Computer Engineering, 1(2), 61–67.

2009 2 conference

  • ConfM. A. Bashar, M. A. Chowdhury, R. Islam, M. S. Rahman & S. K. Das (2009). A Review and Prospects of Quantum Teleportation. 2009 International Conference on Computer and Automation Engineering (ICCAE), 213–217.
  • ConfM. A. Bashar, M. A. Chowdhury, R. Islam, M. S. Rahman & S. K. Das (2009). Concepts for Data-Security of Future Communication. 2009 International Conference on Computer and Automation Engineering (ICCAE), 225–229.

2008 1 conference

  • ConfM. A. Bashar, M. A. Chowdhury, R. Islam, M. S. Rahman & S. K. Das (2008). Proposal for an Efficient Quantum Key Distribution System Using Entanglement. 2008 11th International Conference on Computer and Information Technology (ICCIT), 481–485.

Preprints and thesis

Not peer-reviewed, and listed separately for that reason.