4611. Machine learning
| Title | 4611. Machine learning |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm
Al-Salman, Wessam, Li, Yan, Wen, Peng, Miften, Firas Sabar, Oudah, Atheer Y. and Ghayab, Hadi Ratham Al. 2022. "Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm." Brain Research. 1779. https://doi.org/10.1016/j.brainres.2022.147777Article
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/https://doi.org/10.1016/j.agwat.2022.107812Article
Deep Representation Learning for Speech Emotion Recognition
Latif, Siddique. 2022. Deep Representation Learning for Speech Emotion Recognition. PhD by Publication Doctor of Philosophy (DPHD). University of Southern Queensland. https://doi.org/10.26192/w8w00PhD by Publication
Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models
Johnston, David B.. 2022. Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q78PhD Thesis
Assessing Nitrate Contamination Risks in Groundwater: A Machine Learning Approach
Awais, Muhammad, Aslam, Bilal, Maqsoom, Ahsen, Khalil, Umer, Ullah, Fahim, Azam, Sheheryar and Imran, Muhammad. 2021. "Assessing Nitrate Contamination Risks in Groundwater: A Machine Learning Approach." Applied Sciences. 11 (21), pp. 1-21. https://doi.org/10.3390/app112110034Article
Survey of Deep Representation Learning for Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja, Qadir, Junaid and Schuller, Bjorn. 2023. "Survey of Deep Representation Learning for Speech Emotion Recognition." IEEE Transactions on Affective Computing. 14 (2), pp. 1634-1654. https://doi.org/10.1109/TAFFC.2021.3114365Article
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs
Roui, Mohammad Beheshti, Zomorodi, Mariam, Sarvelayati, Masoomeh, Abdar, Moloud, Noori, Hamid, Plawiak, Pawel, Tadeusiewicz, Ryszard, Zhou, Xujuan, Khosravi, Abbas, Nahavandi, Saeid and Acharya, U. Rajendra. 2021. "A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs." Knowledge-Based Systems. 231. https://doi.org/10.1016/j.knosys.2021.107419Article
Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2021. "Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier." Neuroscience Research. 172, pp. 26-40. https://doi.org/10.1016/j.neures.2021.03.012Article
Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines
Raj, Nawin and Gharineiat, zahra. 2021. "Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines." Mathematics. 9 (21), pp. 1-20. https://doi.org/10.3390/math9212696Article
Self-supervised cross-iterative clustering for unlabeled plant disease images
Fang, Uno, Li, J., Lu, X., Gao, Longxiang, Ali, Mumtaz and Xiang, Yong. 2021. "Self-supervised cross-iterative clustering for unlabeled plant disease images." Neurocomputing. 456, pp. 36-48. https://doi.org/10.1016/j.neucom.2021.05.066Article
Automatic disparity search range estimation in deep learning stereo
Perera, Ruveen. 2021. Automatic disparity search range estimation in deep learning stereo. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/m0vj-5p57PhD Thesis
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
Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh
Yaseen, Zaher Mundher, Ali, Mumtaz, Sharafati, Ahmad, Al-Ansari, Nadhir and Shahid, Shamsuddin. 2021. "Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh." Scientific Reports. 11 (1), pp. 1-25. https://doi.org/10.1038/s41598-021-82977-9Article
Self-Sorting of Solid Waste using Machine Learning
Chan, Tyson, Cai, Jacky H., Chen, Francis and Chan, Ka C.. 2020. "Self-Sorting of Solid Waste using Machine Learning." Hernes, Marcin, Wojtkiewicz, Krystian and Szczerbicki, Edward (ed.) 12th International Conference on Computational Collective Intelligence (ICCCI 2020). Da Nang, Vietnam 30 Nov - 03 Dec 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-63119-2Paper
A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection
Zhou, Xujuan, Li, Yuefeng, Gururajan, Raj, Bargshady, Ghazal, Tao, Xiaohui, Venkataraman, Revathi, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection." 7th International Conference on Behavioural and Social Computing (BESC 2020). Bournemouth, United Kingdom 05 - 07 Nov 2020 United Kingdom. https://doi.org/10.1109/BESC51023.2020.9348322Paper
Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model
Saha, Sajib, Rana, Rajib, Nesterets, Yakov, Tahtali, Murat, de Hoog, Frank and Gureyev, Timur. 2017. "Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model." International Journal of Imaging Systems and Technology. 27 (1), pp. 46-56. https://doi.org/10.1002/ima.22209Article
Development of electroencephalogram (EEG) signals classification techniques
Al Ghayab, Hadi Ratham Ghayab. 2019. Development of electroencephalogram (EEG) signals classification techniques. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/QMHP-7J93PhD Thesis
Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia
Al-Musaylh, Mohanad Shakir Khalid. 2020. Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7tb-4754PhD Thesis
Development of Advanced Computer Aid Model for Shear Strength of Concrete Slender Beam Prediction
Sharafati, Ahmad, Haghbin, Masoud, Aldlemy, Mohammed Suleman, Mussa, Mohamed H., Al Zand, Ahmed W., Ali, Mumtaz, Bhagat, Suraj Kumar, Al-Ansari, Nadhir and Yaseen, Zaher Mundher. 2020. "Development of Advanced Computer Aid Model for Shear Strength of Concrete Slender Beam Prediction." Applied Sciences. 10 (11), pp. 1-25. https://doi.org/10.3390/app10113811Article
A double decomposition-based modelling approach to forecast weekly solar radiation
Prasad, Ramendra, Ali, Mumtaz, Xiang, Yong and Khan, Huma. 2020. "A double decomposition-based modelling approach to forecast weekly solar radiation." Renewable Energy. 152, pp. 9-22. https://doi.org/10.1016/j.renene.2020.01.005Article
Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Yaseen, Z.. 2020. "Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts." Journal of Hydrology. 584, pp. 1-15. https://doi.org/10.1016/j.jhydrol.2020.124647Article
Variational Autoencoders to Learn Latent Representations of Speech Emotion
Latif, Siddique, Rana, Rajib, Qadir, Junaid and Epps, Julien. 2018. "Variational Autoencoders to Learn Latent Representations of Speech Emotion." 19th Annual Conference of the International Speech Communication Association: Speech Research for Emerging Markets in Multilingual Societies (INTERSPEECH 2018). Hyderabad, India 02 - 06 Sep 2018 France. https://doi.org/10.21437/Interspeech.2018-1568Paper
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Barzegar, Rahim, Sattarpour, Masoud, Deo, Ravinesh, Fijani, Elham and Adamowski, Jan. 2020. "An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks." Neural Computing and Applications. 32 (13), pp. 9065-9080. https://doi.org/10.1007/s00521-019-04418-zArticle
Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models
Yaseen, Zaher Mundher, Al-Juboori, Al-Juboori, Beyaztasc, Ufuk, Al-Ansari, Nadhir, Chau, Kwok-Wing, Qi, Chongchong, Ali, Mumtaz, Salih, Sinan Q. and Shahid, Shamsuddin. 2020. "Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models." Engineering Applications of Computational Fluid Mechanics. 14 (1), pp. 70-89. https://doi.org/10.1080/19942060.2019.1680576Article
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
Demo Abstract: CScrypt - A Compressive-Sensing-Based Encryption Engine for the Internet of Things
Xue, Wanli, Luo, Chengwen, Rana, Rajib, Hu, Wen and Seneviratne, Aruna. 2016. "Demo Abstract: CScrypt - A Compressive-Sensing-Based Encryption Engine for the Internet of Things." 14th ACM Conference on Embedded Network Sensor Systems (SenSys '16). Stanford, Calif, USA 14 - 16 Nov 2016 https://doi.org/10.1145/2994551.2996525Paper
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
EEG source localization using a sparsity prior based on Brodmann areas
Saha, Sajib, Nesterets, Yakov, Rana, Rajib, Tahtali, Murat, de Hoog, Frank and Gureyev, Timur. 2017. "EEG source localization using a sparsity prior based on Brodmann areas." International Journal of Imaging Systems and Technology. 27 (4), pp. 333-344. https://doi.org/10.1002/ima.22236Article
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
A space-place shift: is the digital space a place for learning for commencing students?
Lawrence, Jill. 2013. "A space-place shift: is the digital space a place for learning for commencing students?" 36th Higher Education Research and Development Society of Australasia Conference (HERDSA 2013). Auckland, New Zealand 01 - 04 Jul 2013 Sydney, Australia.Paper
Guiding Ebola patients to suitable health facilities: an SMS-based approach
Trad, Mohamad-Ali, Jurdak, Raja and Rana, Rajib. 2015. "Guiding Ebola patients to suitable health facilities: an SMS-based approach." F1000Research. 4 (43). https://doi.org/10.12688/f1000research.6105.1Article
Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach
Siuly, Siuly and Li, Yan. 2015. "Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach." Neural Computing and Applications. 26 (4), pp. 799-811. https://doi.org/10.1007/s00521-014-1753-3Article
Gait velocity estimation using time-interleaved between consecutive passive IR sensor activations
Rana, Rajib, Austin, Daniel, Jacobs, Peter G., Karunanithi, Mohanraj and Kaye, Jeffrey. 2016. "Gait velocity estimation using time-interleaved between consecutive passive IR sensor activations." IEEE Sensors Journal. 16 (16), pp. 6351-6358. https://doi.org/10.1109/JSEN.2016.2577708Article
Real-time classification via sparse representation in acoustic sensor networks
Wei, Bo, Yang, Mingrui, Shen, Yiran, Rana, Rajib, Chou, Chun Tung and Hu, Wen. 2013. "Real-time classification via sparse representation in acoustic sensor networks." 11th ACM Conference on Embedded Networked Sensor Systems (SenSys 2013). Rome, Italy 11 - 15 Nov 2013 United States. https://doi.org/10.1145/2517351.2517357Paper
Associate a user's goal: exhaustivity and specificity information retrieval using ontology
Tao, Xiaohui. 2006. "Associate a user's goal: exhaustivity and specificity information retrieval using ontology." Li, Yuefeng, Looi, Mark and Zhong, Ning (ed.) 2006 Conference on Advances in Intelligent IT: Active Media Technology. Brisbane, Australia 07 - 09 Jun 2006 Amsterdam, Netherlands.Poster
Feasibility analysis of using humidex as an indoor thermal comfort predictor
Rana, Rajib, Kusy, Brano, Jurdak, Raja, Wall, Josh and Hu, Wen. 2013. "Feasibility analysis of using humidex as an indoor thermal comfort predictor." Energy and Buildings. 64, pp. 17-25. https://doi.org/10.1016/j.enbuild.2013.04.019Article
Ear-phone: a context-aware noise mapping using smart phones
Rana, Rajib, Chou, Chun Tung, Bulusu, Nirupama, Kanhere, Salil and Hu, Wen. 2015. "Ear-phone: a context-aware noise mapping using smart phones." Pervasive and Mobile Computing. 17 (Part A), pp. 1-22. https://doi.org/10.1016/j.pmcj.2014.02.001Article
Opportunistic and context-aware affect sensing on smartphones: the concept, challenges and opportunities
Rana, Rajib, Hume, Margee, Reilly, John, Jurdak, Raja and Soar, Jeffrey. 2016. "Opportunistic and context-aware affect sensing on smartphones: the concept, challenges and opportunities." IEEE Pervasive Computing. 15 (2), pp. 60-69. https://doi.org/10.1109/MPRV.2016.36Article
SimpleTrack: adaptive trajectory compression with deterministic projection matrix for mobile sensor networks
Rana, Rajib, Yang, Mingrui, Wark, Tim, Chou, Chun Tung and Hu, Wen. 2015. "SimpleTrack: adaptive trajectory compression with deterministic projection matrix for mobile sensor networks." IEEE Sensors Journal. 15 (1), pp. 365-373. https://doi.org/10.1109/JSEN.2014.2335210Article
Optimal sampling strategy enabling energy-neutral operations at rechargeable wireless sensor networks
Rana, Rajib, Hu, Wen and Chou, Chun Tung. 2015. "Optimal sampling strategy enabling energy-neutral operations at rechargeable wireless sensor networks." IEEE Sensors Journal. 15 (1), pp. 201-208. https://doi.org/10.1109/JSEN.2014.2337334Article