4611. Machine learning
| Title | 4611. Machine learning |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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High-fidelity audio generation and representation learning with guided adversarial autoencoder
Haque, Kazi Nazmul, Rana, Rajib and Schuller, Bjorn W.. 2020. "High-fidelity audio generation and representation learning with guided adversarial autoencoder." IEEE Access. 8, pp. 223509-223528. https://doi.org/10.1109/ACCESS.2020.3040797Article
Hong Kong home economics teachers' preparedness for teaching with technology
Ho, Kitty and Albion, Peter R.. 2010. "Hong Kong home economics teachers' preparedness for teaching with technology." Maddux, Cleborne D., Gibson, David and Dodge, Bernie (ed.) Research highlights in technology and teacher education 2010. Chesapeake, VA, United States. Society for Information Technology & Teacher Education (SITE). pp. 313-321Edited book (chapter)
How pupils use a model for abstract concepts in genetics
Venville, Grady and Donovan, Jenny. 2008. "How pupils use a model for abstract concepts in genetics." Journal of Biological Education. 43 (1), pp. 6-14. https://doi.org/10.1080/00219266.2008.9656143Article
Hybrid CNN–GRU model for hourly flood forecasting index: case studies from the Fiji islands
Chand, Ravinesh, Deo, Ravinesh C., Ghimire, Sujan, Nguyen-Huy, Thong and Ali, Mumtaz. 2025. "Hybrid CNN–GRU model for hourly flood forecasting index: case studies from the Fiji islands." Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-025-02964-8Article
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao, Hai, Abba, Sani I., Al-Areeq, Ahmed M., Tangang, Fredolin, Samantaray, Sandeep, Sahoo, Abinash, Siqueira, Hugo Valadares, Maroufpoor, Saman, Demir, Vahdettin, Bokde, Neeraj Dhanraj, Goliatt, Leonardo, Jamei, Mehdi, Ahmadianfar, Iman, Bhagat, Suraj Kumar, Halder, Bijay, Guo, Tianli, Helman, Daniel S., Ali, Mumtaz, Sattar, Sabaa, ..., Yaseen, Zaher Mundher. 2024. "Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions ." Engineering Applications of Artificial Intelligence. 129. https://doi.org/10.1016/j.engappai.2023.107559Article
Hyperbolic 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_28Paper
Identifying 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/s11280-022-01034-1Article
IEEE Access special section editorial: health informatics for the developing world
Qadir, Junaid, Mujeeb-U-Rahman, Muhammad, Rehmani, Mubashir Husain, Pathan, Al-Sakib Khan, Imran, Muhammad Ali, Hussain, Amir, Rana, Rajib and Luo, Bin. 2017. "IEEE Access special section editorial: health informatics for the developing world." IEEE Access. 5, pp. 27818-27823. https://doi.org/10.1109/ACCESS.2017.2783118Editorial
Innovative Multi-Temporal Evapotranspiration Forecasting Using Empirical Fourier Decomposition and Bidirectional Long Short-Term Memory
Karbasi, Masoud, Ali, Mumtaz, Randhawa, Gurjit S., Jamei, Mehdi, Malik, Anurag, Hussain, Syed Hamid Hussain, Bos, Melanie, Zaman, Qamar and Farooque, Aitazaz Ahsan. 2024. "Innovative Multi-Temporal Evapotranspiration Forecasting Using Empirical Fourier Decomposition and Bidirectional Long Short-Term Memory." Smart Agricultural Technology . 9. https://doi.org/10.1016/j.atech.2024.100619Article
Interpretation in design: modelling how the situation changes during design activity
Kelly, Nick and Gero, John S.. 2014. "Interpretation in design: modelling how the situation changes during design activity." Research in Engineering Design. 25 (2), pp. 109-124. https://doi.org/10.1007/s00163-013-0168-yArticle
Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model
Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070Article
Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modeling and Emotion Classification Approach
Oliveira, Francisco Braulio, Haque, Amanul, Mougouei, Davoud, Evans, Simon, Sichman, Jaime Simao and Singh, Munindar P.. 2022. "Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modeling and Emotion Classification Approach." IEEE Access. 10, pp. 16883-16897. https://doi.org/10.1109/ACCESS.2022.3150329Article
Kryptein: A Compressive-Sensing-Based Encryption Scheme for the Internet of Things
Xue, Wanli, Luo, Chengwen, Lan, Guohao, Rana, Rajib, Hu, Wen and Seneviratne, Aruna. 2017. "Kryptein: A Compressive-Sensing-Based Encryption Scheme for the Internet of Things." Zhang, Pei, Dutta, Prabal and Xing, Guoliang (ed.) 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2017). Pittsburgh, Pennsylvania, USA 18 - 21 Apr 2017 United States. https://doi.org/10.1145/3055031.3055079Paper
Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques
Haddad, Nabeel Mahdy, Sahi, Aqeel, Diykh, Mohammed, Aljbur, Kaled, Kutfan, Ali, Abdulla, Shahab and Al-Hraishawi, Hayder. 2025. "Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques ." Chen, F. (ed.) 2024 IEEE Region 10 Conference (TENCON 2024). Singapore 01 - 04 Dec 2024 IEEE. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/TENCON61640.2024.10902823Paper
Leveraging Advanced Data-Driven Approaches to Forecast Daily Floods Based on Rainfall for Proactive Prevention Strategies in Saudi Arabia
Aldhafiri, Anwar Ali, Ali, Mumtaz and Labban, Abdulhaleem H.. 2025. "Leveraging Advanced Data-Driven Approaches to Forecast Daily Floods Based on Rainfall for Proactive Prevention Strategies in Saudi Arabia." Water. 17 (11). https://doi.org/10.3390/w17111699Article
Lightweight 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/s41598-024-56115-0Article
Machinability of Polymeric Composites and Future Reinforcements — A Review
Shalwan, Abdullah, Alsaeed, Talal and Yousif, Belal. 2022. "Machinability of Polymeric Composites and Future Reinforcements — A Review." Journal of Materials Science and Chemical Engineering. 10 (5), pp. 40-72. https://doi.org/10.4236/msce.2022.105004Article
Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters
Tao, Hai, Jawad, Ali H., Shather, A.H., Al-Khafaji, Zainab Al, Rashid, Tarik A., Ali, Mumtaz, Al-Ansari, Nadhir Al, Marhoon, Haydar Abdulameer, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2023. "Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters." Environment International. 175. https://doi.org/10.1016/j.envint.2023.107931Article
Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery
Altarez, Richard Dein D.. 2024. Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z78z2PhD by Publication
Making generalisations in geometry: students' views on the process: a case study
Yevdokimov, Oleksiy. 2008. "Making generalisations in geometry: students' views on the process: a case study." Figueras, Olimpia, Cortina, Jose Luis, Alatorre, Silvia, Rojano, Teresa and Sepulveda, Armando (ed.) 2008 Annual Conference for the Psychology of Mathematics Education (PME 32): Mathematical Ideas: History, Education and Cognition. Morelia, Mexico 17 - 21 Jul 2008 Morelia, Mexico.Paper
Mathematics for maths anxious tertiary students: integrating the cognitive and affective domains using interactive multimedia
Taylor, Janet and Galligan, Linda. 2006. "Mathematics for maths anxious tertiary students: integrating the cognitive and affective domains using interactive multimedia." Literacy and Numeracy Studies. 15 (1), pp. 23-43.Article
Mental 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.2024.10.010Article
Mental stress recognition on the fly using neuroplasticity spiking neural networks
Weerasinghe, Mahima Milinda Alwis, Wang, Grace, Whalley, Jacqueline and Crook-Rumsey, Mark. 2023. "Mental stress recognition on the fly using neuroplasticity spiking neural networks." Scientific Reports. 13. https://doi.org/10.1038/s41598-023-34517-wArticle
MLOps-Enabled Security Strategies for Next-Generation Operational Technologies
Ahmad, Tazeem, Adnan, Mohd, Rafi, Saima, Akbar, Muhammad Azeem and Anwar, Ayesha. 2024. "MLOps-Enabled Security Strategies for Next-Generation Operational Technologies." 28th International Conference on Evaluation and Assessment in Software Engineering (EASE '24). Salerno, Italy 18 - 21 Jun 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3661167.3661283Paper
Mobile health in the Developing World: review of literature and lessons from a case study
Latif, Siddique, Rana, Rajib, Qadir, Junaid, Ali, Anwaar, Imran, Muhammad Ali and Younis, Muhammad Shahzad. 2017. "Mobile health in the Developing World: review of literature and lessons from a case study." IEEE Access. 5, pp. 11540-11556. https://doi.org/10.1109/ACCESS.2017.2710800Article
Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach
Fard, Mojgan Hafezi, Petrova, Krassie, Kasabov, Nikola Kirilov and Wang, Grace Y.. 2025. "Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach." Big Data and Cognitive Computing. 9 (7). https://doi.org/10.3390/bdcc9070173Article
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.Poster
Modelling soil physical and chemical properties using existing datasets across grain growing regions of Australia
Gajurel, Suman. 2025. Modelling soil physical and chemical properties using existing datasets across grain growing regions of Australia. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zwv89PhD by Publication
Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box
Jamei, Mehdi, Hassan, Muhammad, Farooque, Aitazaz A., Ali, Mumtaz, Karbasi, Masoud, Randhawa, Gurjit, Yaseen, Zaher Mundher and Dwyer, Ross. 2024. "Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box." Results in Engineering. 24. https://doi.org/10.1016/j.rineng.2024.103297Article
Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Karimi, Bakhtiar, Jahannemaei, Neshat, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2024. "Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR." Expert Systems with Applications. 237 (Part B). https://doi.org/10.1016/j.eswa.2023.121512Article
Multi-Method Approaches for Sleep EEG Analysis And Sleep Stage Classification
Zapata, Ignacio Alonso. 2023. Multi-Method Approaches for Sleep EEG Analysis And Sleep Stage Classification. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z4yq2PhD by Publication
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
Karbasi, Masoud, Ali, Mumtaz, Bateni, Sayed M., Jun, Changhyun, Jamei, Mehdi, Farooque, Aitazaz Ahsan and Yaseen, Zaher Mundher. 2024. "Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm." Scientific Reports. 14. https://doi.org/10.1038/s41598-024-65837-0Article
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Jamei, Mehdi, Ali, Mumtaz, Jun, Changhyun, Bateni, Sayed M., Karbasi, Masoud, Farooque, Aitazaz A. and Yaseen, Zaher Mundher. 2023. "Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm." Atmospheric Pollution Research. 14 (6). https://doi.org/10.1016/j.apr.2023.101752Article
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection
Malik, Anurag, Jamei, Mehdi, Ali, Mumtaz, Prasad, Ramendra, Karbasi, Masoud and Yaseen, Zaher Mundher. 2022. "Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection." Agricultural Water Management. 272. https://doi.org/10.1016/j.agwat.2022.107812Article
Multimodality 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.2022.10.018Article
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn W.. 2023. "Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition ." IEEE Transactions on Affective Computing. 14 (4), pp. 3164-3176. https://doi.org/10.1109/TAFFC.2022.3221749Article
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Zheng, Zihao, Ali, Mumtaz, Jamei, Mehdi, Xiang, Yong, Abdulla, Shahab, Yaseen, Zaher Mundher and Farooque, Aitazaz A.. 2023. "Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation." Renewable and Sustainable Energy Reviews. 185. https://doi.org/10.1016/j.rser.2023.113645Article
My students don't learn the way I do
de Raadt, Michael. 2011. "My students don't learn the way I do." Hamer, Jack and de Raadt, Michael (ed.) ACE 2011: 13th Australasian Computing Education Conference. Perth, Australia 17 - 20 Jan 2011 Sydney, Australia.Paper
Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models
Khosravi, K., Ali, M. and Heddam, S.. 2025. "Near real-time significant wave height prediction along the coastline of Queensland using advanced hybrid machine learning models." International Journal of Environmental Science and Technology. 22 (7), pp. 5309-5326. https://doi.org/10.1007/s13762-024-05944-7Article
Netbook computers as an appropriate solution for 1:1 computer use in primary schools
Larkin, Kevin and Finger, Glenn. 2011. "Netbook computers as an appropriate solution for 1:1 computer use in primary schools." Australian Educational Computing. 26 (1), pp. 27-34.Article