Educational Decision Support System Adopting Sentiment Analysis on Student Feedback
Paper
Paper/Presentation Title | Educational Decision Support System Adopting Sentiment Analysis on Student Feedback |
---|---|
Presentation Type | Paper |
Authors | Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley |
Journal or Proceedings Title | Proceedings of the 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) |
Journal Citation | pp. 377-383 |
Number of Pages | 7 |
Year | 2022 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WI-IAT55865.2022.00062 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/10102002 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/10101871/proceeding |
Conference/Event | 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) |
Event Details | 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Delivery Online Event Date 17 to end of 20 Nov 2022 Event Location Niagara Falls, Canada |
Abstract | Educational institutions are constantly analyzing their teaching practice and learning environments to provide a better learning experience for their students. Engaging with all students’ feedback and analyzing manually is almost impossible due to the amount of textual data. Sentiment analysis has the potential to analyze students’ feedback and extract their opinion or sentiment toward courses, teaching, and infrastructure. In this study, a conceptual framework is proposed to analyze qualitative feedback from students and classify them into 19 predefined aspects of Biggs’ model. Student feedback can be preprocessed using tokenization, stemming, and stopword removal. TextBlob was used to categorize the sentiment of students’ comments on each course using polarity and subjectivity. For the classification problem, a word embedding layer is used to transform the plain English words into vector representation and feed them to the deep learning model Bi-LSTM with forwarding and backward propagation. Deep learning is evaluated for its performance in multi-label classification. A case study with a desktop application adopting the proposed framework to analyze student comments of an education institution and illustrating the framework results in bar graphs. This would assist an educational institute in verifying its existing systems and improving its services to students. Overall, an application was designed for an educational institute to check and enhance teaching and learning practices. |
Keywords | NLP; Sentiment Analysis; Course Feedback; Quality Assurance; Student Voice |
ANZSRC Field of Research 2020 | 461103. Deep learning |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mathematics, Physics and Computing |
School of Education | |
Strategic Academic Projects |
https://research.usq.edu.au/item/z58zv/educational-decision-support-system-adopting-sentiment-analysis-on-student-feedback
258
total views1
total downloads11
views this month0
downloads this month
Export as
Related outputs
Advancing DoA assessment through federated learning: A one-shot pseudo data approach
Li, Tianning, Schmierer, Thomas, Wu, Di and Li, Yan. 2025. "Advancing DoA assessment through federated learning: A one-shot pseudo data approach ." Neurocomputing. 634. https://doi.org/10.1016/j.neucom.2025.129812Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2025. "Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates." Education Sciences. 15 (4). https://doi.org/10.3390/educsci15040403Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-up on Clustering Results
Elnour, Ammar, Yang, Wencheng and Li, Yan. 2025. "Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-up on Clustering Results." IEEE Open Journal of the Computer Society. https://doi.org/10.1109/OJCS.2025.3545261EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification
Ghayab, Hadi Ratham Al, Li, Yan, Diykh, Mohammed, Sahi, Aqeel, Abdulla, Shahab and Alkhuwaylidee, Ahmed Rashid. 2025. "EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification." Expert Systems with Applications. 269 (126433). https://doi.org/10.1016/j.eswa.2025.126433A 3D decoupling Alzheimer’s disease prediction network based on structural MRI
Wei, Shicheng, Yang, Wencheng, Wang, Eugene, Wang, Song and Li, Yan. 2025. "A 3D decoupling Alzheimer’s disease prediction network based on structural MRI." Health Information Science and Systems. 13. https://doi.org/10.1007/s13755-024-00333-3STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men
Ji, Xiaopeng, Tang, Zhaohui, Osborne, Sonya R., Nguyen, Thi Phuoc Van, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2025. "STI/HIV Risk Prediction Model Development-A Novel Use of Public Data To Forecast STIs/HIV Risk For Men Who Have Sex With Men." Frontiers in Public Health. 12. https://doi.org/10.3389/fpubh.2024.1511689Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers
Islam, Rafiul, Ahad, Md. Taimur, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers." Journal of Voice. https://doi.org/10.1016/j.jvoice.2024.10.010Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation
Ra, Jee Sook, Li, Tianning and Li, Yan. 2024. "Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation." IEEE Access. 12, pp. 187684-187695. https://doi.org/10.1109/ACCESS.2024.3514859Enhanced question understanding for multi-type legal question answering
Yin, Yu, Li, Lin, Xie, Shugui, Tao, Xiaohui and Zhang, Jianwei. 2024. "Enhanced question understanding for multi-type legal question answering ." CCF Transactions on Pervasive Computing and Interaction. https://doi.org/10.1007/s42486-024-00175-8Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Zhu, Xiaofeng and Li, Qing. 2024. "Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2024.3486109Iranian English as a Foreign Language (EFL) teachers' professional development needs in educational contexts: Exploring the challenge of reflective practice
Shokpour, Nasrin, Eslampanah, Neda, Asadi, Vahid, O'Neill, Shirley, Dann, Christopher and Wang, Jenny. 2024. "Iranian English as a Foreign Language (EFL) teachers' professional development needs in educational contexts: Exploring the challenge of reflective practice." Journal of Advances in Medical Education and Professionalism. 12 (4), pp. 261-271. https://doi.org/10.30476/jamp.2024.103180.1995Intellectual Meaning: An Analysis of Metonymy in English and Arabic
Aldekhan, Magid and O'Neill, Shirley. 2024. "Intellectual Meaning: An Analysis of Metonymy in English and Arabic." Eurasian Journal of Applied Linguistics. 10 (3). https://doi.org/10.32601/ejal.10301Student Satisfaction and University Enrollments: Does the Urban or Regional Status of Australian Higher Education Institutions Matter?
Biswas, Kumar, Bose, Sudipta, Shams, Syed, Dann, Chris and Brown, Alice. 2024. "Student Satisfaction and University Enrollments: Does the Urban or Regional Status of Australian Higher Education Institutions Matter?" American Business Review. 27 (2). https://doi.org/10.37625/abr.27.2.798-818Exploring the Literacy Experiences of Preservice Early Childhood Teachers: Social and Contextual Influences, and Implications for Teacher Education
Chen, Jennifer J., Ren, Yonggang and O'Neill, Shirley. 2024. "Exploring the Literacy Experiences of Preservice Early Childhood Teachers: Social and Contextual Influences, and Implications for Teacher Education." Education Sciences. 14 (10). https://doi.org/10.3390/educsci14101042Correction: Chen et al. Exploring the Literacy Experiences of Preservice Early Childhood Teachers: Social and Contextual Influences, and Implications for Teacher Education. Educ. Sci. 2024, 14, 1042
Chen, Jennifer J., Ren, Yonggang and O'Neill, Shirley. 2024. "Correction: Chen et al. Exploring the Literacy Experiences of Preservice Early Childhood Teachers: Social and Contextual Influences, and Implications for Teacher Education. Educ. Sci. 2024, 14, 1042 ." Education Sciences. 14 (12). https://doi.org/10.3390/educsci14121353Movie recommendation and classification system using block chain
Abduljabbar, Tamara, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2024. "Movie recommendation and classification system using block chain ." Web Intelligence. 22 (4), pp. 659-680. https://doi.org/10.3233/WEB-230346Exploring the perspectives of Australian primary school teachers on students learning about project management
Delle-Vergini, Sante, Eacersall, Douglas, Dann, Chris, Ally, Mustafa and Chakraborty, Subrata. 2024. "Exploring the perspectives of Australian primary school teachers on students learning about project management." Issues in Educational Research. 34 (3), pp. 928-952.Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features
Li, Tianning, Huang, Yi, Wen, Paul and Li, Yan. 2024. "Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00241-yHigh Security and Privacy Protection Model for STI/HIV Risk Prediction
Tang, Zhaohui, Nguyen, Thi Phuoc Van, Yang, Wencheng, Xia, Xiaoyu, Chen, Huaming, Mullens, Amy B., Dean, Judith A., Osborne, Sonya and Li, Yan. 2024. "High Security and Privacy Protection Model for STI/HIV Risk Prediction." Digital Health. 10, pp. 1-14. https://doi.org/DOI:10.1177/20552076241298425EventsVista: Enhancing Event Visualization and Interpretation
Farhat, Mohamad Khalil, Zhang, Ji, Tao, Xiaohui, Li, Tianning and Yu, T.. 2024. "EventsVista: Enhancing Event Visualization and Interpretation." 2023 10th International Conference on Behavioural and Social Computing (BESC). Larnaca, Cyprus 30 Oct - 01 Nov 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BESC59560.2023.10386648Teaching project management to primary school children: a scoping review
Delle-Vergini, Sante, Eacersall, Douglas, Dann, Chris, Ally, Mustafa and Chakraborty, Subrata. 2024. "Teaching project management to primary school children: a scoping review." The Australian Educational Researcher. 51 (4), pp. 1035-1062. https://doi.org/10.1007/s13384-023-00627-7Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards
Li, Ming, Li, Lin, Tao, Xiaohui, Xie, Zhongwei, Xie, Qing and Yuan, Jingling. 2024. "Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards ." ACM Transactions on Intelligent Systems and Technology. 15 (4), pp. 1-28. https://doi.org/10.1145/3643859DeGONet: Decentralized Group-Oriented Interconnection Network for IoT-enabled Metaverse
Jiang, Sining, Cheng, Xu, Dai, Hong-Ning, Zhao, Shuo, Lan, Yujun, Xie, Haoran, Tao, Xiaohui and Guo, Zhongwen. 2024. "DeGONet: Decentralized Group-Oriented Interconnection Network for IoT-enabled Metaverse." ACM Transactions on Internet Technology. https://doi.org/10.1145/3674972Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
Chen, Xieling, Xie, Haoran, Qin, S. Joe, Cai, Yaping, Tao, Xiaohui and Wang, Fu Lee. 2024. "Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis." Cognitive Computation. 16 (6), pp. 3518-3556. https://doi.org/10.1007/s12559-024-10331-yMulti-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs
Yan, Cheng, Zhao, Feng, Tao, Xiaohui and Zhu, Xiaofeng. 2024. "Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs." IEEE Transactions on Big Data. https://doi.org/10.1109/TBDATA.2024.3453749A customised vision transformer for accurate detection and classification of Java Plum leaf disease
Bhowmik, Auvick Chandra, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "A customised vision transformer for accurate detection and classification of Java Plum leaf disease ." Smart Agricultural Technology . 8. https://doi.org/10.1016/j.atech.2024.100500MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning
Tian, Xinyu, Afrin, Mahbuba, Mistry, Sajib, Mahmud, Redowan, Krishna, Aneesh and Li, Yan. 2024. "MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 161, pp. 454-466. https://doi.org/10.1016/j.future.2024.07.038Impact on Modern Arabic Language and Education Manifestation of Social Violence in Arab’s Grammatical Think
Aldekhan, Magid, O'Neill, Shirley and Almansouri, Bassim. 2024. "Impact on Modern Arabic Language and Education Manifestation of Social Violence in Arab’s Grammatical Think." Eurasian Journal of Applied Linguistics. 10 (2), pp. 60-69.Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation
Zhang, Tianyu, Li, Lin, Zhang, Rui and Tao, Xiaohui. 2024. "Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation." H., Zhang W.Yang Z.Wang X.Tung A.Zheng Z.Guo (ed.) 8th APWeb-WAIM joint International Conference on Web and Big Data (APWeb-WAIM 2024). Jinhua, China 30 Aug - 01 Sep 2024 Singapore . Springer. https://doi.org/10.1007/978-981-97-7235-3_28MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
Li, Ming, Li, Lin, Tao, Xiaohui and Huang, Jimmy Xiangji. 2024. "MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness." 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24). Washington DC, United States 14 - 18 Jul 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3626772.3657857An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors
Li, Lin, Mai, Yunqi, Chu, Yu, Tao, Xiaohui and Yong, Jiaming. 2024. "An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors." N., Shen W.Shen W.Barthes J.-P.Luo J.Qiu T.Zhou X.Zhang J.Zhu H.Peng K.Xu T.Chen (ed.) 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580204CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction
Hu, Kaixi, Li, Lin, Xie, Qing, Tao, Xiaohui and Xu, Guandong. 2024. "CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction." H.V., Onizuka M.Lee J.-G.Tong Y.Xiao C.Ishikawa Y.Lu K.Amer-Yahia S.Jagadish (ed.) 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024). Gifu, Japan 02 - 05 Jul 2024 Singapore . Springer. https://doi.org/10.1007/978-981-97-5575-2_7Computational Personality Analysis with Interpretability Empowered Prediction
Elmahalaw, Ahmed R., Li, Lin, Wu, Xiaohua, Tao, Xiaohui and Yong, Jianming. 2024. "Computational Personality Analysis with Interpretability Empowered Prediction." 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024 ). Tianjin, China 08 - 10 May 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSCWD61410.2024.10580811A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827Improving Teaching and Learning in Higher Education through Machine Learning: Proof of Concept’ of AI’s Ability to Assess the Use of Key Microskills.
Dann, Christopher, O'Neill, Shirley, Getenet, Seyum, Chakraborty, Subrata, Saleh, Khaled and Yu, Kun. 2024. "Improving Teaching and Learning in Higher Education through Machine Learning: Proof of Concept’ of AI’s Ability to Assess the Use of Key Microskills." Education Sciences. 14 (8). https://doi.org/10.3390/educsci14080886Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan, Tao, Xiaohui and Xu, Guandong. 2024. "Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics." ACM Transactions on Information Systems. 42 (3), pp. 1-35. https://doi.org/10.1145/3632403Two-dimensional data partitioning for non-negative matrix tri-factorization
Yan, Jiaxing, Liu, Hai, Lei, Zhiqi, Rao, Yanghui, Liu, Guan, Xie, Haoran, Tao, Xiaohui and Wang, Fu Lee. 2024. "Two-dimensional data partitioning for non-negative matrix tri-factorization." Big Data Research. 37. https://doi.org/10.1016/j.bdr.2024.100473Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence
Shaik, Thanveer, Tao, Xiaohui, Xie, Haoran, Li, Lin, Yong, Jianming and Li, Yuefeng. 2024. "Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (4), pp. 2908-2918. https://doi.org/10.1109/TETCI.2024.3398024Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization
Sello, Buti, Yong, Jianming and Tao, Xiaohui. 2024. "Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization." Data Science and Engineering. 9, pp. 361-377. https://doi.org/10.1007/s41019-024-00251-0Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Schmierer, Thomas, Li, Tianning and Li, Yan. 2024. "Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment." Artificial Intelligence in Medicine. 151. https://doi.org/10.1016/j.artmed.2024.102869Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-020 years of Web Intelligence: Call for a new era of AI in the Connected World
Kuai, Hongzhi and Tao, Xiaohui. 2024. "20 years of Web Intelligence: Call for a new era of AI in the Connected World." Web Intelligence. 22 (1), pp. 1-4. https://doi.org/10.3233/WEB-230451Never-Ending Learning for Explainable Brain Computing
Kuai, Hongzhi, Chen, Jianhui, Tao, Xiaohui, Cai, Lingyun, Imamura, Kazuyuki, Matsumoto, Hiroki, Liang, Peipeng and Zhong, Ning. 2024. "Never-Ending Learning for Explainable Brain Computing." Advanced Science. 11 (24). https://doi.org/10.1002/advs.202307647Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning
Job, Simi, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Yong, Jianming and Li, Qing. 2024. "Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning ." ACM Transactions on Intelligent Systems and Technology. 15 (2), pp. 1-22. https://doi.org/10.1145/3643856Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction
Hu, Kaixi, Li, Lin, Tao, Xiaohui and Zhang, Jianwei. 2024. "Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction." IEEE Signal Processing Letters. 31, pp. 1234-1238. https://doi.org/10.1109/LSP.2024.3393863Collaborative Synchronous Coaching to Enable the Third Space in Initial Teacher Education
O'Neill, Shirley, Gander, Tim and Dann, Christopher. 2024. "Collaborative Synchronous Coaching to Enable the Third Space in Initial Teacher Education." Action in Teacher Education. https://doi.org/10.1080/01626620.2024.2335896Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee and Cao, Jie. 2024. "Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses." International Journal of Machine Learning and Cybernetics. 15 (11), pp. 4973-4998. https://doi.org/10.1007/s13042-024-02203-6Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Leng, Mingming and Lei, Baiying. 2024. "Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics." Artificial Intelligence Review. 57 (4). https://doi.org/10.1007/s10462-024-10712-7A topic modeling-based bibliometric exploration of automatic summarization research
Chen, Xieling, Xie, Haoran, Tao, Xiaohui, Xu, Lingling, Wang, Jingjing, Dai, Hong-Ning and Wang, Fu Lee. 2024. "A topic modeling-based bibliometric exploration of automatic summarization research." WIREs Data Mining and Knowledge Discovery. 14 (5). https://doi.org/10.1002/widm.1540EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices
Cao, Sicong, Sun, Xiaobing, Liu, Wei, Wu, Di, Zhang, Jiale, Li, Yan, Luan, Tom H. and Gao, Longxiang. 2024. "EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices ." IEEE Internet of Things Journal. 11 (12), pp. 22385-22398. https://doi.org/10.1109/JIOT.2024.3381641Making sense of student feedback and engagement using artificial intelligence
Dann, Christopher, Redmond, Petrea, Fanshawe, Melissa, Brown, Alice, Getenet, Seyum, Shaik, Thanveer, Tao, Xiaohui, Galligan, Linda and Li, Yan. 2024. "Making sense of student feedback and engagement using artificial intelligence." Australasian Journal of Educational Technology. 40 (3). https://doi.org/10.14742/ajet.8903FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran, Cai, Taotao, Zhu, Xiaofeng and Li, Qing. 2024. "FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning ." IEEE Transactions on Knowledge and Data Engineering. 36 (10), pp. 5153-5167. https://doi.org/10.1109/TKDE.2024.3382726An automatic method using MFCC features for sleep stage classification
Pei, Wei, Li, Yan, Wen, PPeng, Yang, Fuwen and Ji, Xiaopeng. 2024. "An automatic method using MFCC features for sleep stage classification." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00219-wContrastive sentence representation learning with adaptive false negative cancellation
Xu, Lingling, Xie, Haoran, Wang, Fu Lee, Tao, Xiaohui, Wang, Weiming and Li, Qing. 2024. "Contrastive sentence representation learning with adaptive false negative cancellation." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102065Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease
Siuly, Siuly, Alcin, Ömer Faruk, Wang, Hua, Li, Yan and Wen, Peng. 2024. "Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease ." IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (2), pp. 1609-1623. https://doi.org/10.1109/TETCI.2024.33536103D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2024. "3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network." Biomedical Signal Processing and Control. 89. https://doi.org/10.1016/j.bspc.2023.105815A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Xie, Haoran and Velasquez, Juan D.. 2024. "A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom." Information Fusion. 102. https://doi.org/10.1016/j.inffus.2023.102040Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
Shaik, Thanveer, Tao, Xiaohui, Li, Lin, Higgins, Niall, Gururajan, Raj, Zhou, Xujuan and Yong, Jianming. 2024. "Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion." Pattern Recognition Letters. 177. https://doi.org/10.1016/j.patrec.2023.12.004Category-Wise Meal Recommendation
Li, Ming, Li, Lin, Tao, Xiaohui, Xie, Qing and Yuan, Jingling. 2024. "Category-Wise Meal Recommendation." 30th International Conference on Neural Information Processing, Part XIV (ICONIP2023). Changsha, China 20 - 23 Nov 2023 Singapore . Springer. https://doi.org/10.1007/978-981-99-8181-6_22Dynamic Task Allocation For Robotic Edge System Resilience Using Deep Reinforcement Learning
Afrin, Mahbuba, Jin, Jiong, Rahman, Ashfaqur, Li, Shi, Tian, Yu-Chuv and Li, Yan. 2024. "Dynamic Task Allocation For Robotic Edge System Resilience Using Deep Reinforcement Learning." IEEE Transactions on Systems, Man and Cybernetics: Systems. 54 (3), pp. 1438-1450. https://doi.org/10.1109/TSMC.2023.3327959MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model
Ji, Xiaopeng, Li, Yan, Wen, Peng, Barua, Prabal and Acharya, U Rajendra. 2024. "MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model ." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107992Feature extraction and learning approaches for cancellable biometrics: A survey
Yang, Wencheng, Wang, Song, Hu, Jiankun, Tao, Xiaohui and Li, Yan. 2024. "Feature extraction and learning approaches for cancellable biometrics: A survey." CAAI Transactions on Intelligence Technology. 9 (1), pp. 4-25. https://doi.org/10.1049/cit2.12283Autism and neurodiversity in the workplace: A scoping review of key trends, employer roles, interventions and supports
Wen, Benjamin, van Rensburg, Henriette, O'Neill, Shirley and Attwood, Tony. 2024. "Autism and neurodiversity in the workplace: A scoping review of key trends, employer roles, interventions and supports." Journal of Vocational Rehabilitation. 60 (1), pp. 121-140. https://doi.org/10.3233/JVR-230060Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection
Tawhid, Md. Nurul Ahad, Siuly, Siuly, Kabir, Enamul and Li, Yan. 2024. "Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32, pp. 189-199. https://doi.org/10.1109/TNSRE.2023.3347032Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification
Jaworsky, Markian, Tao, Xiaohui, Yong, Jianming, Pan, Lei, Zhang, Ji and Pokhrel, Shiva Raj. 2023. "Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Singapore. https://doi.org/10.1007/978-981-99-7108-4_10Predicting learners' performance using MOOC clickstream
Xiao, Kui, Pan, Xueyan, Zhang, Yan, Tao, Xiaohui and Huang, Zhifang. 2023. "Predicting learners' performance using MOOC clickstream." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland. Springer. https://doi.org/10.1007/978-3-031-46674-8_42HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform
Jiang, Zilong, Zuo, Xiang, Li, Lin, Tao, Xiaohui and Wang, Dali. 2023. "HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform." 19th International Conference on Advanced Data Mining and Applications (ADMA'23). Shenyang, China 21 - 23 Aug 2023 Switzerland . Springer. https://doi.org/10.1007/978-3-031-46674-8_45Tree-like Interaction Learning for Bundle Recommendation
Ke, Haole, Li, Lin, Wang, Peipei, Yuan, Jingling and Tao, Xiaohui. 2023. "Tree-like Interaction Learning for Bundle Recommendation." 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23). Rhodes Island, Greece 04 - 10 Jun 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICASSP49357.2023.10096246The Impact on Employability by COVID-19 Pandemic - AI Case Studies
Bandi, Venkata Bharath, Tao, Xiaohui, Shaik, Thanveer, Yong, Jianming and Zhang, Ji. 2023. "The Impact on Employability by COVID-19 Pandemic - AI Case Studies ." 24th International Conference on Web Information Systems Engineering (WISE 2023). Melbourne, Australia 25 - 27 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-99-7254-8_66User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study
Li, Ming, Li, Lin, Tao, Xiaohui and Zhong, Ning. 2023. "User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study." Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP '23). Beijing, China 26 - 28 Nov 2023 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3624918.3625342Interrelated feature selection from health surveys using domain knowledge graph
Jaworsky, Markian, Tao, Xiaohui, Pan, Lei, Pokhrel, Shiva Raj, Yong, Jianming and Zhang, Ji. 2023. "Interrelated feature selection from health surveys using domain knowledge graph." Health Information Science and Systems. 11. https://doi.org/10.1007/s13755-023-00254-7Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning
Shaik, Thanveer Basha. 2023. Revolutionizing healthcare with federated reinforcement learning: from machine learning to machine unlearning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6096Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals
Lafta, Raid, Alshaheen, Hisham, Wang, Biao, Tao, Xiaohui, Li, Lingling, Zhang, Kexin and Zhang, Ji. 2023. "Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals." Proceedings of the 10th IEEE International Conference on Big Data (2022). Osaka, Japan 17 - 20 Dec 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/BigData55660.2022.10020818Decentralized Blockchain Network
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2023. "Decentralized Blockchain Network." 2022 Tenth International Conference on Advanced Cloud and Big Data (CBD). Guilin, China 04 - 05 Nov 2022 China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD58033.2022.00049Secure Zonotopic Set-Membership State Estimation for Multi-Rate Complex Networks Under Encryption-Decryption Mechanism
Yang, Hao, Yan, Huaicheng, Li, Yan, Wen, Paul and Yang, Fuwen. 2023. "Secure Zonotopic Set-Membership State Estimation for Multi-Rate Complex Networks Under Encryption-Decryption Mechanism." IEEE Transactions on Automatic Control. 69 (8), pp. 5109-5124. https://doi.org/10.1109/TAC.2023.3347599Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2023. "Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing." Computers and Education: Artificial Intelligence. 5. https://doi.org/10.1016/j.caeai.2023.100187An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4Information fusion in crime event analysis: A decade survey on data, features and models
Hu, Kaixi, Li, Lin, Tao, Xiaohui, Velasquez, Juan D. and Delaney, Patrick. 2023. "Information fusion in crime event analysis: A decade survey on data, features and models." Information Fusion. 100. https://doi.org/10.1016/j.inffus.2023.101904L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning
Xie, Shugui, Li, Lin, Yuan, Jingling, Xie, Qing and Tao, Xiaohui. 2023. "L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning." 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023). Tianjin, China 17 - 20 Apr 2023 Springer. https://doi.org/10.1007/978-3-031-30675-4_27Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation
Wang, Peipei, Li, Lin, Wang, Ru and Tao, Xizohui. 2023. "Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation." 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023). Tianjin, China 17 - 20 Apr 2023 Switzerland . Springer. pp. 80-96 https://doi.org/10.1007/978-3-031-30672-3_6Hyperbolic Mutual Learning for Bundle Recommendation
Ke, Haole, Li, Lin, Wang, PeiPei, Yuan, Jingling and Tao, Xiaohui. 2023. "Hyperbolic Mutual Learning for Bundle Recommendation." 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023). Tianjin, China 17 - 20 Apr 2023 Switzerland . Springer. https://doi.org/10.1007/978-3-031-30672-3_28Be-or-Not Prompt Enhanced Hard Negatives Generating For Memes Category Detection
Cui, Jian, Li, Lin and Tao, Xiaohui. 2023. "Be-or-Not Prompt Enhanced Hard Negatives Generating For Memes Category Detection." 2023 IEEE International Conference on Multimedia and Expo (ICME). Brisbane, Australia 10 - 14 Jul 2023 United Sates. https://doi.org/10.1109/ICME55011.2023.00038A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
Yang, Wencheng, Wang, Song, Cui, Hui, Tang, Zhaohui and Li, Yan. 2023. "A Review of Homomorphic Encryption for Privacy-Preserving Biometrics." Sensors. 23 (7). https://doi.org/10.3390/s23073566Blockchain-Enhanced Smart Contract for Cost-Effective Insurance Claims Processing
Wang, Qiping, Lau, Raymond Yiu Keung, Si, Yain-Whar, Xie, Haoran and Tao, Xiaohui. 2023. "Blockchain-Enhanced Smart Contract for Cost-Effective Insurance Claims Processing." Journal of Global Information Management. 31 (7). https://doi.org/10.4018/JGIM.329927Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features
Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Dann, Christopher, Xie, Haoran, Li, Yan and O'Neill, Shirley. 2023. "Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features." Computers and Education: Artificial Intelligence. 4. https://doi.org/10.1016/j.caeai.2022.100116Exploring deep residual network based features for automatic schizophrenia detection from EEG
Siuly, Siuly, Guo, Yanhui, Alcin, Omer Faruk, Li, Yan, Wen, Peng and Wang, Hua. 2023. "Exploring deep residual network based features for automatic schizophrenia detection from EEG." Physical and Engineering Sciences in Medicine. 46 (2), pp. 561-574. https://doi.org/10.1007/s13246-023-01225-8Efficient novel network and index for alcoholism detection from EEGs
Sadiq, Muhammad Tariq, Siuly, Siuly, Almogren, Ahmad, Li, Yan and Wen, Paul. 2023. "Efficient novel network and index for alcoholism detection from EEGs." Health Information Science and Systems. 11 (1). https://doi.org/10.1007/s13755-023-00227-wA novel dropout mechanism with label extension schema toward text emotion classification
Li, Zongxi, Li, Xianming, Xie, Haoran, Wang, Fu Lee, Leng, Mingming, Li, Qing and Tao, Xiaohui. 2023. "A novel dropout mechanism with label extension schema toward text emotion classification." Information Processing and Management. 60 (2). https://doi.org/10.1016/j.ipm.2022.103173Dual-interactive fusion for code-mixed deep representation learning in tag recommendation
Li, Lin, Wang, Peipei, Zheng, Xinhao, Xie, Qing, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Dual-interactive fusion for code-mixed deep representation learning in tag recommendation." Information Fusion. 99. https://doi.org/10.1016/j.inffus.2023.1018623DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning
Ji, Xiaopeng, Li, Yan and Wen, Peng. 2023. "3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31, pp. 3513-3523. https://doi.org/10.1109/TNSRE.2023.3309542Using bug-in-ear technology as a coaching technique: a scoping review
Gander, Timothy and Dann, Christopher. 2023. "Using bug-in-ear technology as a coaching technique: a scoping review." International Journal of Mentoring and Coaching in Education. 12 (1), pp. 62-81. https://doi.org/10.1108/IJMCE-05-2022-0040Identifying License Plates in Distorted Vehicle Images: Detecting Distorted Vehicle Licence Plates Using a Novel Preprocessing Methods With Hybrid Feature Descriptors
Al-Shemarry, Meeras Salman, Li, Yan and Abdulla, Shahab. 2023. "Identifying License Plates in Distorted Vehicle Images: Detecting Distorted Vehicle Licence Plates Using a Novel Preprocessing Methods With Hybrid Feature Descriptors." IEEE Intelligent Transportation Systems Magazine. 15 (2), pp. 6-25. https://doi.org/10.1109/MITS.2022.3210226Comparison of CNN-based deep learning architectures for rice diseases classification
Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Li, Yuefeng and Acharya, U. Rajendra. 2023. "Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability." Computer Methods and Programs in Biomedicine. 242. https://doi.org/10.1016/j.cmpb.2023.107771Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan, Acharya, U. Rajendra and Li, Yuefeng. 2023. "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment." Brain Informatics. 10 (1). https://doi.org/10.1186/s40708-023-00188-6Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)
Sheehy, Joshua, Rutledge, Hamish, Acharya, U. Rajendra, Loh, Hui Wen, Gururajan, Raj, Tao, Xiaohui, Zhou, Xujuan, Li, Yuefeng, Gurney, Tiana and Kondalsamy-Chennakesavan, S.. 2023. "Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)." Artificial Intelligence in Medicine. 139. https://doi.org/10.1016/j.artmed.2023.102536Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Ra, Jee Sook, Li, Tianning and Li, Yan. 2023. "A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network." Computer Methods and Programs in Biomedicine. 240. https://doi.org/10.1016/j.cmpb.2023.107678Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing
Verma, Navdeep, Getenet, Seyum, Dann, Christopher and Shaik, Thanveer. 2023. "Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing." Research and Practice in Technology Enhanced Learning. 18. https://doi.org/10.58459/rptel.2023.18040Automatic sleep spindles identification and classification with multitapers and convolution
Zapata, Ignacio, Wen, Peng, Jones, Evan, Fjaagesund, Shauna and Li, Yan. 2024. "Automatic sleep spindles identification and classification with multitapers and convolution." Sleep. 47 (1). https://doi.org/10.1093/sleep/zsad159Topic Integrated Opinion-Based Drug Recommendation With Transformers
Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559Teaching project management to primary school children: Exploring the perspectives of project practitioners
Delle-Vergini, Sante, Ally, Mustafa, Eacersall, Douglas, Dann, Chris and Chakraborty, Subrata. 2023. "Teaching project management to primary school children: Exploring the perspectives of project practitioners." Issues in Educational Research. 33 (1), pp. 41-70.Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2023. "Numerical Evaluation of the Human Skull with Focused Ultrasound Stimulation ." Acoustics Australia. 51 (2), p. 233–241. https://doi.org/10.1007/s40857-023-00289-6Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Li, Li, Gururajan, Raj, Zhou, Xujuan and Acharya, U. Rajendra. 2023. "Remote patient monitoring using artificial intelligence: Current state, applications, and challenges." WIREs Data Mining and Knowledge Discovery. 13 (2). https://doi.org/10.1002/widm.1485Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks." Biomedical Signal Processing and Control. 79 (Part 2). https://doi.org/10.1016/j.bspc.2022.104242Trio-based collaborative multi-view graph clustering with multiple constraints
Wang, Ru, Li, Lin, Tao, Xiaohui, Dong, Xiao, Wang, Peipei and Liu, Peiyu. 2021. "Trio-based collaborative multi-view graph clustering with multiple constraints." Information Processing and Management. 58 (3), pp. 1-13. https://doi.org/10.1016/j.ipm.2020.102466Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification
Zapata, Ignacio A., Li, Yan and Wen, Peng. 2022. "Rules-Based and SVM-Q Methods With Multitapers and Convolution for Sleep EEG Stages Classification." IEEE Access. 10, pp. 71299-71310. https://doi.org/10.1109/ACCESS.2022.3188286Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
Al-Salman, Wessam, Li, Yan, Oudah, Atheer Y. and Almaged, Sadiq. 2023. "Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms." Neuroscience Research. https://doi.org/10.1016/j.neures.2022.09.009Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596Multimodality Information Fusion for Automated Machine Translation
Li, Lin, Tayir, Turghun, Han, Yifeng, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Multimodality Information Fusion for Automated Machine Translation." Information Fusion. 91, pp. 352-363. https://doi.org/10.1016/j.inffus.2022.10.018Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
Li, Lin, Wu, Xiaohua, Kong, Miao, Zhou, Dong and Tao, Xiaohui. 2022. "Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction." Raedt, Luc De (ed.) 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022): Special Track on AI for Good. Vienna, Austria 23 - 29 Jul 2022 Austria.AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191Recognition of Prior Learning + Portfolio: A Fortuitous Blending
Quadrelli, Carol A, Lindsay, Julie and Cook-Watkins, Clarissa. 2022. "Recognition of Prior Learning + Portfolio: A Fortuitous Blending." 7th Students Transitions Achievement Retention & Success Conference (STARS 2022). Online 04 - 06 Jul 2022 Australia.Scoping recent investment in evaluation education in Australian universities
Quadrelli, Carol, Staheli, Jessica, Cook-Watkins, Clarissa and Alderman, Lyn. 2022. "Scoping recent investment in evaluation education in Australian universities." Evaluation Journal of Australasia. 22 (4), pp. 254-281. https://doi.org/10.1177/1035719X221120292Identifying informative tweets during a pandemic via a topic‑aware neural language model
Gao, Wang, Li, Lin, Tao, Xiaohui, Zhou, Jing and Tao, Jun. 2023. "Identifying informative tweets during a pandemic via a topic‑aware neural language model." World Wide Web. 26 (1), pp. 55-70. https://doi.org/10.1007/s11280-022-01034-1Multi-source information fusion for smart health with artificial intelligence
Tao, Xiaohui and Velasquez, Juan D.. 2022. "Multi-source information fusion for smart health with artificial intelligence." Information Fusion. 83-84, pp. 93-95. https://doi.org/10.1016/j.inffus.2022.03.010Autism in the Australian workplace: the employer perspective
Wen, Benjamin, van Rensburg, Henriette, O'Neill, Shirley and Attwood, Tony. 2023. "Autism in the Australian workplace: the employer perspective." Asia Pacific Journal of Human Resources. 61 (1), pp. 146-167. https://doi.org/10.1111/1744-7941.12333A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia
Schmierer, Thomas, Li, Tianning and Li, Yan. 2022. "A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia." Health Information Science and Systems. 10 (1), pp. 1-14. https://doi.org/10.1007/s13755-022-00178-8FedStack: Personalized Activity Monitoring using Stacked Federated Learning
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Gururajan, Raj, Li, Yuefeng, Zhou, Xujuan and Acharya, U Rajendra. 2022. "FedStack: Personalized Activity Monitoring using Stacked Federated Learning." Knowledge-Based Systems. 257, pp. 1-14. https://doi.org/10.1016/j.knosys.2022.109929Adaptive Fault Resolution for Database Replication Systems
Wee, Chee Keong, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui and Wee, Nathan. 2022. "Adaptive Fault Resolution for Database Replication Systems." Li, Bohan, Yue, Lin, Jiang, Jing, Chen, Weitong, Li, Xue, Long, Guodong, Fang, Fei and Yu, Han (ed.) 17th International Conference on Advanced Data Mining and Applications (ADMA 2021). Sydney, Australia 02 - 04 Feb 2022 Berlin. Springer. https://doi.org/10.1007/978-3-030-95405-5_26Data Analytics on Online Student Engagement Data for Academic Performance Modeling
Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Li, Lin, Dann, Christopher, Li, Yan and Xie, Haoran. 2022. "Data Analytics on Online Student Engagement Data for Academic Performance Modeling." IEEE Access. 10, pp. 103176-103186. https://doi.org/10.1109/ACCESS.2022.3208953An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2022. "An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods." Biomedical Signal Processing and Control. 77, pp. 1-8. https://doi.org/10.1016/j.bspc.2022.103820Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification
Ji, Xiaopeng, Li, Yan and Wen, Peng. 2022. "Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30, pp. 1464-1472. https://doi.org/10.1109/TNSRE.2022.3176004Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain
Akbari, Hesam, Sadiq, Muhammad Tariq, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Identification of Normal and Depression EEG Signals in Variational Mode Decomposition Domain." Health Information Science and Systems. 10 (1). https://doi.org/10.1007/s13755-022-00187-7Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Numerical investigation of the energy distribution of Low-intensity transcranial focused ultrasound neuromodulation for hippocampus." Ultrasonics. 124. https://doi.org/10.1016/j.ultras.2022.106724A hybrid deep learning scheme for multi-channel sleep stage classification
Pei, Wei, Li, Yan, Siuly, Siuly and Wen, Peng. 2022. "A hybrid deep learning scheme for multi-channel sleep stage classification." Computers, Materials and Continua. 71 (1), pp. 889-905. https://doi.org/10.32604/cmc.2022.021830Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning
Wang, Ru, Li, Lin, Wang, Peipei, Tao, Xiaohui and Liu, Peiyu. 2022. "Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning." Multimedia Tools and Applications. 81 (24), p. 34309–34324. https://doi.org/10.1007/s11042-021-11597-2Novel large scale brain network models for EEG epileptic pattern generations
Al-Hossenat, Auhood, Song, Bo, Wen, Peng and Li, Yan. 2022. "Novel large scale brain network models for EEG epileptic pattern generations." Expert Systems with Applications. 194. https://doi.org/10.1016/j.eswa.2021.116477A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
Btoush, Eyad, Zhou, Xujuan, Gururajan, Raj, Chan, KC and Tao, XiaoHui. 2021. "A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security." 8th IEEE International Conference on Behavioural and Social Computing (BESC 2021). Doha, Qatar 29 - 31 Oct 2021 Doha, Qatar. https://doi.org/10.1109/BESC53957.2021.9635559Detecting depression using an ensemble classifier based on Quality of Life scales
Tao, Xiaohui, Chi, Oliver, Delaney, Patrick J., Li, Lin and Huang, Jiajin. 2021. "Detecting depression using an ensemble classifier based on Quality of Life scales." Brain Informatics. 8, pp. 1-15. https://doi.org/10.1186/s40708-021-00125-5Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2016. "Editorial ." Evaluation Journal of Australasia. 16 (4), pp. 2-3. https://doi.org/10.1177/1035719X1601600401Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2016. "Editorial ." Evaluation Journal of Australasia. 16 (3), pp. 2-4. https://doi.org/10.1177/1035719X1601600301When death is not a crime: Challenges for police and policing
Carpenter, Belinda, Tait, Gordon, Quadrelli, Carol A. and Thompson, Ian. 2014. "When death is not a crime: Challenges for police and policing." Papers from the British Criminology Conference: An Online Journal by the British Society of Criminology. 14 (1-2), pp. 3-16.The Body in Grief: Death Investigations, Objections to Autopsy, and the Religious and Cultural ‘Other’
Carpenter, Belinda, Tait, Gordon and Quadrelli, Carol A.. 2014. "The Body in Grief: Death Investigations, Objections to Autopsy, and the Religious and Cultural ‘Other’." Religions. 5 (1), pp. 165-178. https://doi.org/10.3390/rel5010165Scrutinising the Other: Incapacity, Suspicion and Manipulation in a Death Investigation
Carpenter, Belinda, Tait, Gordon, Quadrelli, Carol A. and Drayton, John. 2015. "Scrutinising the Other: Incapacity, Suspicion and Manipulation in a Death Investigation." Journal of Intercultural Studies. 36 (2), pp. 113-128. https://doi.org/10.1080/07256868.2015.1008436Investigating death: the emotional and cultural challenges for police
Carpenter, Belinda, Tait, Gordon, Quadrelli, Carol A. and Thompson, Ian. 2016. "Investigating death: the emotional and cultural challenges for police." Policing and Society: an international journal of research and policy. 26 (6), pp. 698-712. https://doi.org/10.1080/10439463.2015.1016024Decision-making in a death investigation: Emotion, families and the coroner
Tait, Gordon, Carpenter, Belinda, Quadrelli, Carol and Barnes, Michael. 2016. "Decision-making in a death investigation: Emotion, families and the coroner." Journal of Law and Medicine. 23 (3), pp. 571-581.Higher Degree Research students at the centre of transformational practice: an evidence based approach
Hall, Jenny, Quadrelli, Carol and Sondergeld, Annette. 2017. "Higher Degree Research students at the centre of transformational practice: an evidence based approach." Walker, Ruth and Bedford, Simon (ed.) 40th HERSDA Annual International Conference (2017). Sydney, Australia 27 - 30 Jun 2017 Australia.Women Inmates' Accounts of Education in Queensland Corrections
Farrell, Ann, Danby, Susan, Skoien, Petra and Quadrelli, Carol. 2001. "Women Inmates' Accounts of Education in Queensland Corrections." Australia and New Zealand Journal of Law and Education. 6 (1 & 2), pp. 47-61.Flexibility, Technology and Academics' Practices: Tantalising Tales and Muddy Maps.
Taylor, Peter G., Lopez, Lucy and Quadrelli, Carol. 1996. Flexibility, Technology and Academics' Practices: Tantalising Tales and Muddy Maps. Canberra, Australia. Commonwealth of Australia.Women in prison: where are we going?
Quadrelli, Carol. 1997. "Women in prison: where are we going?" Themis: The Journal for Justice Professionals. 2 (2), pp. 15-22. https://doi.org/10.3316/ielapa.980201446Arguing the Autopsy: mutual suspicion, jurisdictional confusion and the socially marginal
Carpenter, Belinda, Tait, Gordon and Quadrelli, Carol. 2013. "Arguing the Autopsy: mutual suspicion, jurisdictional confusion and the socially marginal." Tauri, Juan and Richards, Kelly (ed.) 2nd International Conference Crime, Justice and Social Democracy (2013). Brisbane, Australia 2013 Australia.Feminist Evaluation and Research: Theory and Practice by S Brisolara, D Seigart and S SenGupta
Quadrelli, Carol. 2017. "Feminist Evaluation and Research: Theory and Practice by S Brisolara, D Seigart and S SenGupta." Evaluation Journal of Australasia. 17 (3), pp. 44-45. https://doi.org/10.1177/1035719X1701700307The SAGE Handbook of Qualitative Research Ethics by R Iphofen and M Tolich
Quadrelli, Carol. 2018. "The SAGE Handbook of Qualitative Research Ethics by R Iphofen and M Tolich." Evaluation Journal of Australasia. 18 (3), pp. 192-194. https://doi.org/10.1177/1035719X18796895Risky business: mapping ethical landscapes and negotiating governance tensions when researching female offending
Quadrelli, Carol and Robertson-Stainsby, Debra. 2013. "Risky business: mapping ethical landscapes and negotiating governance tensions when researching female offending." Tauri, Juan and Richards, Kelly (ed.) 2nd International Conference Crime, Justice and Social Democracy (2013). Brisbane, Australia 2013 Australia.Policing Expert Testimony in a Death Investigation: Medical Opinion as Legal Fact
Tait, Gordon, Carpenter, Belinda, Quadrelli, Carol and Naylor, Charles. 2015. "Policing Expert Testimony in a Death Investigation: Medical Opinion as Legal Fact." Berents, Helen and Scott, John (ed.) 3rd International Crime Justice and Social Democracy Conference (2015). Brisbane, Australia Australia.Editorial (Evaluation Journal of Australasia, Volume 20, Issue 4)
Rossingh, Bronwyn, Quadrelli, Carol, Adams, Jeff and Kingston, Kylie. 2020. "Editorial (Evaluation Journal of Australasia, Volume 20, Issue 4)." Evaluation Journal of Australasia. 20 (4), pp. 193-196. https://doi.org/10.1177/1035719X20972217Editorial
Quadrelli, Carol, Rossingh, Bronwyn and Gould, Liz. 2020. "Editorial ." Evaluation Journal of Australasia. 20 (3), pp. 125-128. https://doi.org/10.1177/1035719X20957129Editorial
Rossingh, Bronwyn, Quadrelli, Carol and Gould, Liz. 2020. "Editorial." Evaluation Journal of Australasia. 20 (1), pp. 3-5. https://doi.org/10.1177/1035719X20909721Editorial
Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2019. "Editorial." Evaluation Journal of Australasia. 19 (3), pp. 113-114. https://doi.org/10.1177/1035719X19878910Editorial
Quadrelli, Carol, Gould, Liz and Rossingh, Bronwyn. 2019. "Editorial ." Evaluation Journal of Australasia. 19 (2), pp. 61-63. https://doi.org/10.1177/1035719X19858474Editorial
Quadrelli, Carol A. 2018. "Editorial." Evaluation Journal of Australasia. 18 (3), pp. 137-140. https://doi.org/10.1177/1035719X18796897Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial ." Evaluation Journal of Australasia. 17 (4), pp. 2-3. https://doi.org/10.1177/1035719X1701700401Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial ." Evaluation Journal of Australasia. 17 (3), pp. 2-3. https://doi.org/10.1177/1035719X1701700Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial." Evaluation Journal of Australasia. 17 (2), pp. 2-3. https://doi.org/10.1177/1035719X1701700201Editorial
Alderman, Lyn, Gould, Liz, Quadrelli, Carol and Rossingh, Bronwyn. 2017. "Editorial ." Evaluation Journal of Australasia. 17 (1), pp. 2-3. https://doi.org/10.1177/1035719X1701700101