4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning
Chen, Zhi, Luo, Yadan, Wang, Sen, Li, Jingjing and Huang, Zi. 2022. "GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning." IEEE Transactions on Multimedia. 25, pp. 5374-5385. https://doi.org/10.1109/TMM.2022.3190678Article
Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation
You, Fuming, Li, Jingjing, Chen, Zhi and Zhu, Lei. 2022. "Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation." 30th ACM International Conference on Multimedia (MM '22). Lisbon, Portugal 10 - 14 Oct 2022 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3503161.3548079Paper
Distinguishing Unseen from Seen for Generalized Zero-shot Learning
Su, Hongzu, Li, Jingjing, Chen, Zhi, Zhu, Lei and Lu, Ke. 2022. "Distinguishing Unseen from Seen for Generalized Zero-shot Learning." 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans, LA, United States 18 - 24 Jun 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CVPR52688.2022.00773Paper
Semantics Disentangling for Generalized Zero-Shot Learning
Chen, Zhi, Luo, Yadan, Qui, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng. 2022. "Semantics Disentangling for Generalized Zero-Shot Learning." 2021 IEEE/CVF International Conference on Computer Vision (ICCV). Montreal, Canada 10 - 17 Oct 2021 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICCV48922.2021.00859Paper
Robust cross-network node classification via constrained graph mutual information
Yang, Shuiqiao, Cai, Borui, Cai, Taotao, Song, Xiangyu, Jiang, Jiaojiao, Li, Bing and Li, Jianxin. 2022. "Robust cross-network node classification via constrained graph mutual information." Knowledge-Based Systems. 257. https://doi.org/10.1016/j.knosys.2022.109852Article
A survey on deep learning based knowledge tracing
Song, Xiangyu, Li, Jianxin, Cai, Taotao, Yang, Shuiqiao, Yang, Tingting and Liu, Chengfei. 2022. "A survey on deep learning based knowledge tracing." Knowledge-Based Systems. 258. https://doi.org/10.1016/j.knosys.2022.110036Article
Distant Supervision for E-commerce Query Segmentation via Attention Network
Li, Zhao, Ding, Donghui, Zou, Pengcheng, Gong, Yu, Chen, Xi, Zhang, Ji, Gao, Jianliang, Wu, Youxi and Duan, Yucong. 2022. "Distant Supervision for E-commerce Query Segmentation via Attention Network." Gao, Honghao, Kim, Jung Yoon, Hussain, Walayat, Iqbal, Muddesar and Duan, Yucong (ed.) Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge. Switzerland . Springer. pp. 3-19Edited book (chapter)
A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography
Ying, Josh Jia-Ching, Yang, Wan-Ju, Zhang, Ji, Ni, Yu-Ching, Lin, Chia-Yu, Tseng, Fan-Pin and Tao, Xiaohui. 2022. "A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_21Paper
Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2022. "Logit Perturbation." 36th AAAI Conference on Artificial Intelligence (AAAI 2022). 22 Feb - 01 Mar 2022 United Sates. https://doi.org/10.1609/aaai.v36i2.20024Paper
Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia
Collins, Brian, Najeeb, Ullah, Luo, Qunying and Tan, Daniel K. Y.. 2022. "Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia." Journal of Agronomy and Crop Science. 208 (2), pp. 225-242. https://doi.org/10.1111/jac.12575Article
From distributed machine learning to federated learning: In the view of data privacy and security
Shen, Sheng, Zhu, Tianqing, Wu, Di, Wang, Wei and Zhou, Wanlei. 2022. "From distributed machine learning to federated learning: In the view of data privacy and security." Concurrency and Computation: Practice and Experience. 34 (16). https://doi.org/10.1002/cpe.6002Article
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning
Wu, Di, Wang, Nai, Zhang, Jiale, Zhang, Yuan, Xiang, Yong and Gao, Longxiang. 2022. "A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning." 2022 International Joint Conference on Neural Networks (IJCNN). Padua, Italy 18 - 23 Jul 2022 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN55064.2022.9892039Paper
Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks
Zhao, Ying, Chen, Junjun, Zhang, Jiale, Wu, Di, Blumenstein, Michael and Yu, Shui. 2022. "Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks." Concurrency and Computation: Practice and Experience. 34 (7). https://doi.org/10.1002/cpe.5906Article
Learning discriminative representation with global and fine-grained features for cross-view gait recognition
Xiao, Jing, Yang, Huan, Xie, Kun, Zhu, Jia and Zhang, Ji. 2022. "Learning discriminative representation with global and fine-grained features for cross-view gait recognition." CAAI Transactions on Intelligence Technology. 7 (2), pp. 187-199. https://doi.org/10.1049/cit2.12051Article
The ethical chatbot: A viable solution to socio-legal issues
Ng, Jenny, Haller, Emma and Murray, Angus. 2022. "The ethical chatbot: A viable solution to socio-legal issues." Alternative Law Journal . 47 (4), pp. 308-313. https://doi.org/10.1177/1037969X221113598Article
Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Li, Zhaoyang, Li, Lin and Tao, Xiaohui. 2022. "Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting." Journal of Frontiers of Computer Science and Technology. 16 (2), pp. 384-394. https://doi.org/10.3778/j.issn.1673-9418.2009097Article
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection
Li, Jiamu, Zhang, Ji, Bah, Mohamed Jaward, Wang, Jian, Zhu, Youwen, Yang, Gaoming, Li, Lingling and Zhang, Kexin. 2022. "An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection." Algorithms. 15 (11). https://doi.org/10.3390/a15110429Article
A Survey on Contact Tracing: The Latest Advancements and Challenges
Jiang, Ting, Zhang, Yang Zhang, Zhang, Minhao, Yu, Ting, Chen, Yizheng, Lu, Chenhao, Zhang, Ji, Li, Zhao, Gao, Jun and Zhou, Shuigeng. 2022. "A Survey on Contact Tracing: The Latest Advancements and Challenges." ACM Transactions on Spatial Algorithms and Systems. 8 (2), pp. 1-35. https://doi.org/10.1145/3494529Article
The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry
Chen, Ying, Prentice, Catherine, Weaven, Scott and Hisao, Aaron. 2022. "The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry." Frontiers in Psychology. 13. https://doi.org/10.3389/fpsyg.2022.912339Article
Application of Emerging Digital Technologies in Self-monitoring of Health and Water Usage
Ahmed, Sajjad. 2022. Application of Emerging Digital Technologies in Self-monitoring of Health and Water Usage. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/yy226PhD by Publication
Understanding requisite trust factors for shareholders of ASX listed banks using artificial intelligence in online public relations communication
Batch, Catherine. 2022. Understanding requisite trust factors for shareholders of ASX listed banks using artificial intelligence in online public relations communication. PhD Thesis Doctor of Philosophy . University of Southern Queensland. https://doi.org/10.26192/wv12yPhD Thesis
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
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042Article
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Xiang, Yong, Ahmadianfar, Iman and Yaseen, Zaher Mundher. 2022. "Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach ." Applied Energy. 326, pp. 1-24. https://doi.org/10.1016/j.apenergy.2022.119925Article
Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches
Gururajan, R, Kondalsamy-Chennakesavan, S, Zhou, X. and Boon, K. 2022. "Development and Validation of a Dynamic Tool to Predict Aggressive Patient Behaviours in Hospital Settings: Artificial Intelligence-Based Approaches." Royal Australian College of Physicians (RACP) Congress 2022. Sydney, Australia 15 - 19 May 2022 SAGE Publications Ltd.Other
Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques
Gopalakrishnan, Abinaya, Venkataraman, Revathi, Gururajan, Raj, Zhou, Xujuan and Zhu, Guohun. 2022. "Predicting Women with Postpartum Depression Symptoms Using Machine Learning Techniques." Mathematics. 10 (23). https://doi.org/10.3390/math10234570Article
Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning
Sharma, Ekta. 2022. Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q7wPhD 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
Development of Deep Learning Hybrid Models for Hydrological Predictions
Ahmed, Abul Abrar Masrur. 2022. Development of Deep Learning Hybrid Models for Hydrological Predictions. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q5zPhD by Publication
Adaptive fault diagnosis and resolution system for enterprise data replication system using deep reinforcement learning
Wee, Chee Keong. 2022. Adaptive fault diagnosis and resolution system for enterprise data replication system using deep reinforcement learning. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7486PhD Thesis
Mining heterogeneous information graph for health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Cai, Yi. 2018. "Mining heterogeneous information graph for health status classification." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697292Paper
Exploring the use of a network model in drug prescription support for dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Qin, Yongrui, Goh, Elizabeth Zhixin and Hu, Aimin. 2018. "Exploring the use of a network model in drug prescription support for dental clinics." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Piscataway, NJ, United States. https://doi.org/10.1109/BESC.2018.00042Paper
The altruistic robot: do what I want, not just what I say
Billingsley, Richard, Billingsley, John, Gardenfors, Peter, Peppas, Pavlos, Prade, Henri, Skillicorn, David and Williams, Mary-Anne. 2017. "The altruistic robot: do what I want, not just what I say." Moral, S., Pivert, O., Sánchez, D. and Marín, N. (ed.) 11th International Conference on Scalable Uncertainty Management (SUM 2017). Granada, Spain 04 - 06 Oct 2017 Germany. https://doi.org/10.1007/978-3-319-67582-4_11Paper
Hierarchical neural topic modeling with manifold regularization
Chen, Ziye, Ding, Cheng, Rao, Yanghui, Xie, Haoran, Tao, Xiaohui, Cheng, Gary and Wang, Fu Lee. 2021. "Hierarchical neural topic modeling with manifold regularization." World Wide Web. 24 (6), pp. 2139-2160. https://doi.org/10.1007/s11280-021-00963-7Article
Mobile-based learning of drug prescription for medical education using artificial intelligence techniques
Tao, Xiaohui, Goh, Wee Pheng, Zhang, Ji, Yong, Jianming, Goh, Elizabeth Zhixin and Oh, Xueling. 2021. "Mobile-based learning of drug prescription for medical education using artificial intelligence techniques." International Journal of Mobile Learning and Organisation. 15 (4), pp. 392-408. https://doi.org/10.1504/IJMLO.2021.118436Article
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok-Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P. and Yaseen, Zaher Mundher. 2021. "Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions." Engineering Applications of Computational Fluid Mechanics. 15 (1), pp. 1585-1612. https://doi.org/10.1080/19942060.2021.1984992Article
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
Application of Quantum Natural Language Processing for Language Translation
Abbaszade, Mina, Salari, Vahid, Mousavi, S. Shahin, Zomorodi, Mariam and Zhou, Xujuan. 2021. "Application of Quantum Natural Language Processing for Language Translation." IEEE Access. 9, pp. 130434-130448. https://doi.org/10.1109/ACCESS.2021.3108768Article
Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation using Fewer Labelled Audio Data
Haque, Kazi Nazmul, Rana, Rajib, Liu, Jiajun, Hansen, John H. L., Cummins, Nicholas, Busso, Carlos and Schuller, Bjorn W.. 2021. "Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation using Fewer Labelled Audio Data." IEEE ACM Transactions on Audio, Speech, and Language Processing. 29, pp. 2575-2590. https://doi.org/10.1109/TASLP.2021.3098764Article
A novel spectral entropy-based index for assessing the depth of anaesthesia
Ra, Jee Sook, Li, Tianning and Li, Yan. 2021. "A novel spectral entropy-based index for assessing the depth of anaesthesia." Brain Informatics. 8 (1). https://doi.org/10.1186/s40708-021-00130-8Article
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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