Fuzzy Preferences in Conflict Resolution. - Md. Abul Bashar; Keith W. Hipel; D. Marc Kilgour (SMC, 2009)

Fuzzy preferences in a two-decision maker graph model. - Md. Abul Bashar; Keith W. Hipel; D. Marc Kilgour (SMC, 2010)

Fuzzy preferences in the sustainable development conflict. - Md. Abul Bashar; D. Marc Kilgour; Keith W. Hipel (SMC, 2011)

Fuzzy preferences in multiple participant decision making. - Keith W. Hipel; D. Marc Kilgour; Md. Abul Bashar (Sci. Iran., 2011)

Fuzzy truth values in option prioritization for preference elicitation in the Graph Model. - Md. Abul Bashar; D. Marc Kilgour; Keith W. Hipel (SMC, 2012)

Fuzzy Preferences in the Graph Model for Conflict Resolution. - Md. Abul Bashar; D. Marc Kilgour; Keith W. Hipel (IEEE Trans. Fuzzy Syst., 2012)

A Case Study of Grey-Based Preference in a Graph Model for Conflict Resolution with Two Decision Makers. - Hanbin Kuang; Keith W. Hipel; D. Marc Kilgour; Md. Abul Bashar (SMC, 2013)

Design, Simulate and Development of a Computer Controlled Three-Phase Inverter for Precise Speed Variation of a Three-Phase Induction Motor. - Md. Aziz Ul Huq; Md. Abul Bashar; Farruk Ahmed (J. Comput., 2013)

Interpreting Discovered Patterns in Terms of Ontology Concepts. - Md. Abul Bashar; Yuefeng Li; Yan Shen; Mubarak Albathan (WI-IAT (2), 2014)

Fuzzy option prioritization for the graph model for conflict resolution. - Md. Abul Bashar; D. Marc Kilgour; Keith W. Hipel (Fuzzy Sets Syst., 2014)

Coalition fuzzy stability analysis in the Graph Model for Conflict Resolution. - Md. Abul Bashar; Keith W. Hipel; D. Marc Kilgour; Amer Obeidi (J. Intell. Fuzzy Syst., 2015)

Grey-Based Preference in a Graph Model for Conflict Resolution With Multiple Decision Makers. - Hanbin Kuang; Md. Abul Bashar; Keith W. Hipel; D. Marc Kilgour (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Misperception in nationalization of the Suez Canal. - Yasir M. Aljefri; Keith W. Hipel; Liping Fang; Md. Abul Bashar (SMC, 2016)

A Framework for Automatic Personalised Ontology Learning. - Md. Abul Bashar; Yuefeng Li; Yang Gao 016 (WI, 2016)

Modeling Fuzzy and Interval Fuzzy Preferences Within a Graph Model Framework. - Md. Abul Bashar; Amer Obeidi; D. Marc Kilgour; Keith W. Hipel (IEEE Trans. Fuzzy Syst., 2016)

Random Set to Interpret Topic Models in Terms of Ontology Concepts. - Md. Abul Bashar; Yuefeng Li (Australasian Conference on Artificial Intelligence, 2017)

Conceptual annotation of text patterns. - Md. Abul Bashar; Yuefeng Li; Yan Shen; Yang Gao 016; Wei Huang (Comput. Intell., 2017)

Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model. - Yang Gao 016; Yuefeng Li; Raymond Y. K. Lau; Yue Xu 001; Md. Abul Bashar (ACM Trans. Intell. Syst. Technol., 2017)

Random-Sets for Dealing with Uncertainties in Relevance Feature. - Abdullah Semran Alharbi; Md. Abul Bashar; Yuefeng Li (Australasian Conference on Artificial Intelligence, 2018)

Misogynistic Tweet Detection: Modelling CNN with Small Datasets. - Md. Abul Bashar; Richi Nayak; Nicolas Suzor; Bridget Weir (AusDM, 2018)

Interpretation of text patterns. - Md. Abul Bashar; Yuefeng Li (Data Min. Knowl. Discov., 2018)

Interval fuzzy preferences in the graph model for conflict resolution. - Md. Abul Bashar; Keith W. Hipel; D. Marc Kilgour; Amer Obeidi (Fuzzy Optim. Decis. Mak., 2018)

First-Level Hypergame for Investigating Misperception in Conflicts. - Yasir M. Aljefri; Md. Abul Bashar; Liping Fang; Keith W. Hipel (IEEE Trans. Syst. Man Cybern. Syst., 2018)

QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. - Md. Abul Bashar; Richi Nayak (FIRE (Working Notes), 2019)

Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. - Thirunavukarasu Balasubramaniam; Richi Nayak; Md. Abul Bashar (SSCI, 2020)

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. - Md. Abul Bashar; Richi Nayak (SSCI, 2020)

Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty. - Md. Abul Bashar; Kieren Astin-Walmsley; Kerina Heath; Richi Nayak (CoRR, 2020)

Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. - Md. Abul Bashar; Richi Nayak; Thirunavukarasu Balasubramaniam (CoRR, 2020)

Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set. - Md. Abul Bashar; Richi Nayak; Nicolas Suzor (Knowl. Inf. Syst., 2020)

Deep Learning for Bias Detection: From Inception to Deployment. - Md. Abul Bashar; Richi Nayak; Anjor Kothare; Vishal Sharma; Kesavan Kandadai (AusDM, 2021)

Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification. - Duoyi Zhang; Richi Nayak; Md. Abul Bashar (AusDM, 2021)

Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh. - Fahim Shahriar; Md. Abul Bashar (CoRR, 2021)

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. - Thirunavukarasu Balasubramaniam; Richi Nayak; Khanh Luong; Md. Abul Bashar (Soc. Netw. Anal. Min., 2021)

Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. - Md. Abul Bashar; Richi Nayak; Khanh Luong; Thirunavukarasu Balasubramaniam (Soc. Netw. Anal. Min., 2021)

Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. - Md. Abul Bashar; Richi Nayak (ACM Trans. Intell. Syst. Technol., 2021)

A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. - Sharon Torao-Pingi; Md. Abul Bashar; Richi Nayak (AusDM, 2022)

Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering. - Khanh Luong; Richi Nayak; Thirunavukarasu Balasubramaniam; Md. Abul Bashar (Pattern Recognit., 2022)

Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. - Md. Abul Bashar; Richi Nayak; Thirunavukarasu Balasubramaniam (Soc. Netw. Anal. Min., 2022)

Enhanced Topic Modeling with Multi-modal Representation Learning. - Duoyi Zhang; Yue Wang 130; Md. Abul Bashar; Richi Nayak (PAKDD (1), 2023)

GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. - Ahmed Shoeb Talukder; Richi Nayak; Md. Abul Bashar (WISE, 2023)

Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains. - Md. Abul Bashar; Richi Nayak; Gareth Knapman; Paul Turnbull; Cressida Fforde (CoRR, 2023)

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN. - Md. Abul Bashar; Richi Nayak (CoRR, 2023)

Machine learning for predicting propensity-to-pay energy bills. - Md. Abul Bashar; Richi Nayak; Kieren Astin-Walmsley; Kerina Heath (Intell. Syst. Appl., 2023)

Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. - Yue Wang 130; Md. Abul Bashar; Mahinthan Chandramohan; Richi Nayak (Intell. Syst. Appl., 2023)

Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks. - Duoyi Zhang; Richi Nayak; Md. Abul Bashar (Neural Networks, 2024)

Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. - Sharon Torao-Pingi; Duoyi Zhang; Md. Abul Bashar; Richi Nayak (Data Sci. Eng., 2024)

Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach. - Sharon Torao-Pingi; Richi Nayak; Md. Abul Bashar (ACM Trans. Knowl. Discov. Data, 2024)

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions. - Adriana Eufrosina Bora; Akshatha Arodi; Duoyi Zhang; Jordan Bannister; Mirko Bronzi; Arsène Fansi Tchango; Md. Abul Bashar; Richi Nayak; Kerrie L. Mengersen (ACL (1), 2025)

A novel multi-modal fusion method based on uncertainty-guided meta-learning. - Duoyi Zhang; Md. Abul Bashar; Richi Nayak (Pattern Recognit., 2025)

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification. - Sharon Torao-Pingi; Md. Abul Bashar; Richi Nayak (CoRR, 2025)