4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Spatial prediction of landslide susceptibility using random forest algorithm
Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292Edited book (chapter)
Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction
Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47Edited book (chapter)
Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation
Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.Edited book
Community-diversity Driven Influence Maximization on Social Networks
Li, Jianxin, Cai, Taotao, Ke, Deng, Wang, Xinjue, Sellis, Timos and Xia, Feng. 2020. "Community-diversity Driven Influence Maximization on Social Networks." Information Systems. 92. https://doi.org/10.1016/j.is.2020.101522Article
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003Article
Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307Article
Human Head Modelling Simulation Applied to Electroconvulsive Therapy
Menezes de Oliveira, Marilia, Song, Bo, Ahfock, Tony, Li, Yan and Wen, Paul. 2018. "Human Head Modelling Simulation Applied to Electroconvulsive Therapy." Abreu de Souza, Mauren, Remigio Gamba, Humberto and Pedrini, Helio (ed.) Multi-Modality Imaging: Applications and Computational Techniques. Cham, Switzerland. Springer. pp. 103-133Edited book (chapter)
Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance." Biosystems Engineering. 199, pp. 58-72. https://doi.org/10.1016/j.biosystemseng.2020.02.006Article
Constructing a knowledge-based heterogeneous information graph for medical health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6Article
M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing
Tuan, Tran Manh, Lan, Luong Thi Hong, Chou, Shuo-Yan, Ngan, Tran Thi, Son, Le Hoang, Giang, Nguyen Long and Ali, Mumtaz. 2020. "M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing." Mathematics. 8 (5), pp. 1-24. https://doi.org/10.3390/math8050707Article
A hybrid representation based simile component extraction
Ren, Da, Zhang, Pengfei, Li, Qing, Tao, Xiaohui, Chen, Junying and Cai, Yi. 2020. "A hybrid representation based simile component extraction." Neural Computing and Applications. 32 (18), pp. 14655-14665. https://doi.org/10.1007/s00521-020-04818-6Article
Simulation α of EEG using brain network model
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2017. "Simulation α of EEG using brain network model." Al-Mahaidi, Riadh, Al-Mosawe, Alaa and Al-Younis, Mohamed (ed.) First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017). Melbourne, Australia 05 - 06 Dec 2017 Melbourne, Australia.Paper
The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method
Khan, Majid, Gulistan, Muhammad, Ali, Mumtaz and Chammam, Wathek. 2020. "The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method." Symmetry. 12 (4), pp. 1-15. https://doi.org/10.3390/sym12040496Article
Direct modelling of speech emotion from raw speech
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Epps, Julien. 2019. "Direct modelling of speech emotion from raw speech." 20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language (INTERSPEECH 2019). Graz, Austria 15 - 19 Sep 2019 France. https://doi.org/10.21437/Interspeech.2019-3252Paper
Affective and sentimental computing
Xie, Haoran, Wong, Tak‑Lam, Wang, Fu Lee, Wong, Raymond, Tao, Xiaohui and Wang, Ran. 2019. "Affective and sentimental computing." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2043-2044. https://doi.org/10.1007/s13042-019-00977-8Editorial
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
Transfer learning for improving speech emotion classification accuracy
Latif, Siddique, Rana, Rajib, Younis, Shahzad, Qadir, Junaid and Epps, Julien. 2018. "Transfer learning for improving speech emotion classification accuracy." 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.2018-1625Paper
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model
Al-Salman, Wessam, Li, Yan and Wen, Peng. 2019. "K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model." Neuroscience. 422, pp. 119-133. https://doi.org/10.1016/j.neuroscience.2019.10.034Article
A multiviewpoint outdoor dataset for human action recognition
Perera, Asanka G., Law, Yee Wei, Ogunwa, Titilayo T and Chahl, Javaan. 2020. "A multiviewpoint outdoor dataset for human action recognition." IEEE Transactions on Human-Machine Systems. 50 (5), pp. 405-413. https://doi.org/10.1109/THMS.2020.2971958Article
Defending poisoning attacks in federated learning via adversarial training method
Zhang, Jiale, Wu, Di, Liu, Chengyong and Chen, Bing. 2020. "Defending poisoning attacks in federated learning via adversarial training method." 3rd International Conference on Frontiers in Cyber Security (FCS 2020). Tianjin, China 15 - 17 Nov 2020 Singapore . Springer. https://doi.org/10.1007/978-981-15-9739-8_7Paper
Chromosome Encoding Schemes in Genetic Algorithms for the Flexible Job Shop Scheduling: A State-of-art Review Useful for Artificial Intelligence Applications
Xuewen, Huang, Islam, Sardar M. N. and Zhou, Yuxun. 2020. "Chromosome Encoding Schemes in Genetic Algorithms for the Flexible Job Shop Scheduling: A State-of-art Review Useful for Artificial Intelligence Applications." 2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA). Australia 25 - 27 Nov 2020 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CITISIA50690.2020.9371789Paper
Simulation study on passive buildings’ demand incentive based on evolutionary game
Liu, Kai, Zhou, Hongmin, Kou, Yuanyuan, Zhang, Jiabao, Zhou, Xujuan and Zhang, Xiantang. 2019. "Simulation study on passive buildings’ demand incentive based on evolutionary game." Journal of Intelligent and Fuzzy Systems. 37, pp. 3163-3174. https://doi.org/10.3233/JIFS-179118Article
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247Article
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007Article
Modelling and simulating different bands of EEG signals with the virtual brain
Al-Hossenat, Auhood, Wen, Paul and Li, Yan. 2019. "Modelling and simulating different bands of EEG signals with the virtual brain." International Journal of Electrical, Electronics and Data Communication. 7 (5), pp. 66-70.Article
Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme
Tao, Hai, Ebtehaj, Isa, Bonakdari, Hossein, Heddam, Salim, Voyant, Cyril, Al-Ansari, Nadhir, Deo, Ravinesh and Yaseen, Zaheer Mundher. 2019. "Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme." Energies. 12 (7), pp. 1-24. https://doi.org/10.3390/en12071365Article
Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
Al-Salman, Wessam, Li, Yan and Wen, Paul. 2019. "Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features ." Frontiers in Neuroinformatics. 13 (45), pp. 1-19. https://doi.org/10.3389/fninf.2019.00045Article
A novel framework for distress detection through an automated speech processing system
Rana, Rajib, Gururajan, Raj, Mackenzie, Geraldine, Dunn, Jeff, Gray, Anthony, Zhou, Xujuan, Barua, Prabal Datta, Epps, Julien and Humphris, Gerald Michael. 2018. "A novel framework for distress detection through an automated speech processing system." 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018). Santiago, Chile 03 - 06 Dec 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/WI.2018.00-29Paper
PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches
Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017Article
Automated screening for distress: A perspective for the future
Rana, Rajib, Latif, Siddique, Gururajan, Raj, Gray, Anthony, Mackenzie, Geraldine, Humphris, Gerald and Dunn, Jeff. 2019. "Automated screening for distress: A perspective for the future." European Journal of Cancer Care. 28 (4). https://doi.org/10.1111/ecc.13033Article
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060Article
Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin
Prasad, Ramendra. 2018. Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin . PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/5f6974e4dccd5PhD Thesis
New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm
Meshram, Sarita Gajbhiye, Ghorbani, M. A., Deo, Ravinesh C., Kashani, Mahsa Hasanpour, Meshram, Chandrashekhar and Karimi, Vahid. 2019. "New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm." Water Resources Management. 33 (7), pp. 2335-2356. https://doi.org/10.1007/s11269-019-02265-0Article
An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction
Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069Article
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158Article
On relational learning and discovery in social networks: a survey
Zhang, Ji, Tan, Leonard and Tao, Xiaohui. 2018. "On relational learning and discovery in social networks: a survey." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2085-2102. https://doi.org/10.1007/s13042-018-0823-8Article
Phonocardiographic sensing using deep learning for abnormal heartbeat detection
Latif, Siddique, Usman, Muhammad, Rana, Rajib and Qadir, Junaid. 2018. "Phonocardiographic sensing using deep learning for abnormal heartbeat detection." IEEE Sensors Journal. 18 (22), pp. 9393-9400. https://doi.org/10.1109/JSEN.2018.2870759Article
Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001Paper
Using crop growth model stress covariates and AMMI decomposition to better predict genotype by environment interactions
Rincent, R., Malosetti, M., Collins, B., Ababaei, B., Touzy, G., Mini, A., Bogard, M., Martre, P., Le Gouis, J. and van Eeuwijk, F.. 2019. "Using crop growth model stress covariates and AMMI decomposition to better predict genotype by environment interactions." Theoretical and Applied Genetics: international journal of plant breeding research. 132 (12), pp. 3399-3411. https://doi.org/10.1007/s00122-019-03432-yArticle
Correlate Influential News Article Events to Stock Quote Movement
Mandalapu, Arun Chaitanya, Gunabalan, Saranya, Sadineni, Avinash, Cai, Taotao, Hasan, Nur Al Hasan and Li, Jianxin. 2019. "Correlate Influential News Article Events to Stock Quote Movement ." Li, Jianxin, Wang, Sen, Qin, Shaowen, Li, Xue and Wang, Shuliang (ed.) 15th International Conference on Advanced Data Mining and Applications. Dalian, China 21 - 23 Nov 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-35231-8_24Paper
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460201. Artificial life and complex adaptive systems
460202. Autonomous agents and multiagent systems
460203. Evolutionary computation
460206. Knowledge representation and reasoning
460207. Modelling and simulation
460208. Natural language processing
460209. Planning and decision making