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2020 – today
- 2025
[j24]Duoyi Zhang
, Md. Abul Bashar, Richi Nayak:
A novel multi-modal fusion method based on uncertainty-guided meta-learning. Pattern Recognit. 158: 110993 (2025)- 2024
- [j23]Sharon Torao-Pingi, Duoyi Zhang, Md. Abul Bashar, Richi Nayak:
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. Data Sci. Eng. 9(1): 5-25 (2024) - [j22]Duoyi Zhang, Richi Nayak, Md. Abul Bashar:
Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks. Neural Networks 179: 106553 (2024) - [j21]Sharon Torao-Pingi, Richi Nayak, Md. Abul Bashar:
Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach. ACM Trans. Knowl. Discov. Data 18(5): 132:1-132:25 (2024) - 2023
- [j20]Md. Abul Bashar, Richi Nayak, Kieren Astin-Walmsley, Kerina Heath:
Machine learning for predicting propensity-to-pay energy bills. Intell. Syst. Appl. 17: 200176 (2023) - [j19]Yue Wang, Md. Abul Bashar, Mahinthan Chandramohan, Richi Nayak:
Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. Intell. Syst. Appl. 20: 200280 (2023) - [c19]Duoyi Zhang, Yue Wang, Md. Abul Bashar, Richi Nayak:
Enhanced Topic Modeling with Multi-modal Representation Learning. PAKDD (1) 2023: 393-404 - [c18]Ahmed Shoeb Talukder, Richi Nayak, Md. Abul Bashar:
GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. WISE 2023: 633-642 - [i10]Md. Abul Bashar, Richi Nayak, Gareth Knapman, Paul Turnbull, Cressida Fforde:
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains. CoRR abs/2303.14475 (2023) - [i9]Md. Abul Bashar, Richi Nayak:
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN. CoRR abs/2308.06663 (2023) - 2022
- [j18]Khanh Luong, Richi Nayak, Thirunavukarasu Balasubramaniam, Md. Abul Bashar:
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering. Pattern Recognit. 131: 108815 (2022) - [j17]Md. Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam:
Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. Soc. Netw. Anal. Min. 12(1): 90 (2022) - [c17]Sharon Torao-Pingi, Md. Abul Bashar, Richi Nayak:
A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. AusDM 2022: 133-147 - 2021
- [j16]Thirunavukarasu Balasubramaniam, Richi Nayak, Khanh Luong, Md. Abul Bashar:
Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Soc. Netw. Anal. Min. 11(1): 57 (2021) - [j15]Md. Abul Bashar, Richi Nayak, Khanh Luong, Thirunavukarasu Balasubramaniam:
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. Soc. Netw. Anal. Min. 11(1): 69 (2021) - [j14]Md. Abul Bashar, Richi Nayak:
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. ACM Trans. Intell. Syst. Technol. 12(2): 24:1-24:24 (2021) - [c16]Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai:
Deep Learning for Bias Detection: From Inception to Deployment. AusDM 2021: 86-101 - [c15]Duoyi Zhang, Richi Nayak, Md. Abul Bashar:
Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification. AusDM 2021: 102-117 - [i8]Fahim Shahriar, Md. Abul Bashar:
Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh. CoRR abs/2101.09667 (2021) - [i7]Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai:
Deep Learning for Bias Detection: From Inception to Deployment. CoRR abs/2110.15728 (2021) - 2020
- [j13]Md. Abul Bashar, Richi Nayak, Nicolas Suzor:
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set. Knowl. Inf. Syst. 62(10): 4029-4054 (2020) - [c14]Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. SSCI 2020: 1218-1225 - [c13]Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. SSCI 2020: 1778-1785 - [i6]Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. CoRR abs/2008.09567 (2020) - [i5]Md. Abul Bashar, Kieren Astin-Walmsley, Kerina Heath, Richi Nayak:
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty. CoRR abs/2008.12065 (2020) - [i4]Md. Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam:
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. CoRR abs/2008.12435 (2020) - [i3]Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. CoRR abs/2008.12448 (2020) - [i2]Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. CoRR abs/2008.12452 (2020) - [i1]Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. CoRR abs/2009.09253 (2020)
2010 – 2019
- 2019
- [c12]Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. FIRE (Working Notes) 2019: 237-245 - 2018
- [j12]Md. Abul Bashar, Yuefeng Li:
Interpretation of text patterns. Data Min. Knowl. Discov. 32(4): 849-884 (2018) - [j11]Md. Abul Bashar, Keith W. Hipel, D. Marc Kilgour, Amer Obeidi:
Interval fuzzy preferences in the graph model for conflict resolution. Fuzzy Optim. Decis. Mak. 17(3): 287-315 (2018) - [j10]Yasir M. Aljefri, Md. Abul Bashar, Liping Fang, Keith W. Hipel:
First-Level Hypergame for Investigating Misperception in Conflicts. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2158-2175 (2018) - [c11]Abdullah Semran Alharbi, Md. Abul Bashar, Yuefeng Li:
Random-Sets for Dealing with Uncertainties in Relevance Feature. Australasian Conference on Artificial Intelligence 2018: 656-668 - [c10]Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. AusDM 2018: 3-16 - 2017
- [j9]Md. Abul Bashar, Yuefeng Li, Yan Shen, Yang Gao, Wei Huang:
Conceptual annotation of text patterns. Comput. Intell. 33(4): 948-979 (2017) - [j8]Yang Gao, Yuefeng Li, Raymond Y. K. Lau, Yue Xu, Md. Abul Bashar:
Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model. ACM Trans. Intell. Syst. Technol. 9(1): 3:1-3:22 (2017) - [c9]Md. Abul Bashar, Yuefeng Li:
Random Set to Interpret Topic Models in Terms of Ontology Concepts. Australasian Conference on Artificial Intelligence 2017: 237-249 - 2016
- [j7]Md. Abul Bashar, Amer Obeidi, D. Marc Kilgour, Keith W. Hipel:
Modeling Fuzzy and Interval Fuzzy Preferences Within a Graph Model Framework. IEEE Trans. Fuzzy Syst. 24(4): 765-778 (2016) - [c8]Yasir M. Aljefri, Keith W. Hipel, Liping Fang, Md. Abul Bashar:
Misperception in nationalization of the Suez Canal. SMC 2016: 355-360 - [c7]Md. Abul Bashar, Yuefeng Li, Yang Gao:
A Framework for Automatic Personalised Ontology Learning. WI 2016: 105-112 - 2015
- [j6]Md. Abul Bashar, Keith W. Hipel, D. Marc Kilgour, Amer Obeidi:
Coalition fuzzy stability analysis in the Graph Model for Conflict Resolution. J. Intell. Fuzzy Syst. 29(2): 593-607 (2015) - [j5]Hanbin Kuang, Md. Abul Bashar, Keith W. Hipel, D. Marc Kilgour:
Grey-Based Preference in a Graph Model for Conflict Resolution With Multiple Decision Makers. IEEE Trans. Syst. Man Cybern. Syst. 45(9): 1254-1267 (2015) - 2014
- [j4]Md. Abul Bashar, D. Marc Kilgour, Keith W. Hipel:
Fuzzy option prioritization for the graph model for conflict resolution. Fuzzy Sets Syst. 246: 34-48 (2014) - [c6]Md. Abul Bashar, Yuefeng Li, Yan Shen, Mubarak Albathan:
Interpreting Discovered Patterns in Terms of Ontology Concepts. WI-IAT (2) 2014: 432-437 - 2013
- [j3]Md. Aziz Ul Huq, Md. Abul Bashar, Farruk Ahmed:
Design, Simulate and Development of a Computer Controlled Three-Phase Inverter for Precise Speed Variation of a Three-Phase Induction Motor. J. Comput. 8(5): 1109-1118 (2013) - [c5]Hanbin Kuang, Keith W. Hipel, D. Marc Kilgour, Md. Abul Bashar:
A Case Study of Grey-Based Preference in a Graph Model for Conflict Resolution with Two Decision Makers. SMC 2013: 2037-2041 - 2012
- [j2]Md. Abul Bashar, D. Marc Kilgour, Keith W. Hipel:
Fuzzy Preferences in the Graph Model for Conflict Resolution. IEEE Trans. Fuzzy Syst. 20(4): 760-770 (2012) - [c4]Md. Abul Bashar, D. Marc Kilgour, Keith W. Hipel:
Fuzzy truth values in option prioritization for preference elicitation in the Graph Model. SMC 2012: 3081-3086 - 2011
- [j1]Keith W. Hipel, D. Marc Kilgour, Md. Abul Bashar:
Fuzzy preferences in multiple participant decision making. Sci. Iran. 18(3): 627-638 (2011) - [c3]Md. Abul Bashar, D. Marc Kilgour, Keith W. Hipel:
Fuzzy preferences in the sustainable development conflict. SMC 2011: 3483-3488 - 2010
- [c2]Md. Abul Bashar, Keith W. Hipel, D. Marc Kilgour:
Fuzzy preferences in a two-decision maker graph model. SMC 2010: 2964-2970
2000 – 2009
- 2009
- [c1]Md. Abul Bashar, Keith W. Hipel, D. Marc Kilgour:
Fuzzy Preferences in Conflict Resolution. SMC 2009: 2332-2337
Coauthor Index
aka: Thirunavukarasu Balasubramaniam
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