Items where Author is "Bai, Q"

Barati, M, Bai, Q

and Liu, Q 2019 , 'Automated class correction and enrichment in the Semantic Web' , Journal of Web Semantics, vol. 59 , pp. 1-18 , doi: https://doi.org/10.1016/j.websem.2019.100533.

Barati, M, Bai, Q

and Liu, Q 2017 , 'Mining semantic association rules from RDF data' , Knowledge-Based Systems, vol. 133 , pp. 183-196 , doi: https://doi.org/10.1016/j.knosys.2017.07.009.

Ellison, JC

, Smethurst, PJ, Morrison, BVR, Keast, D, Almeida, A, Taylor, P, Bai, Q, Penton, PJ and Yu, H 2019 , 'Real-time river monitoring supports community management of low-flow periods' , Journal of Hydrology, vol. 572 , pp. 839-850 , doi: https://doi.org/10.1016/j.jhydrol.2019.03.035.

Khalid, N, Bai, Q

and Al-Anbuky, A 2019 , 'Adaptive trust-based routing protocol for large scale WSNs' , IEEE Access, vol. 7 , 143539 - 143549 , doi: https://doi.org/10.1109/ACCESS.2019.2944648.

Li, R

, St George, RJ

, Wang, X, Lawler, K

, Hill, E

, Garg, S

, Williams, S, Relton, S, Hogg, D, Bai, Q

and Alty, J

2022 , 'Moving towards intelligent telemedicine: Computer vision measurement of human movement' , Computers in Biology and Medicine, vol. 147 , pp. 1-9 , doi: https://doi.org/10.1016/j.compbiomed.2022.105776.

Li, R

, Wang, X, Lawler, K

, Garg, S

, Bai, Q

and Alty, J

2022 , 'Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions' , Journal of Biomedical Informatics, vol. 127 , pp. 1-13 , doi: https://doi.org/10.1016/j.jbi.2022.104030.

Li, W, Bai, Q

, Liang, L, Yang, Y, Hu, Y and Zhang, M 2021 , 'Social influence minimization based on context-aware multiple influences diffusion model' , Knowledge-Based Systems, vol. 227 , doi: https://doi.org/10.1016/j.knosys.2021.107233.

Li, W, Bai, Q

and Zhang, M 2019 , 'SIMiner: a stigmergy-based model for mining influential nodes in dynamic social networks' , IEEE Transactions on Big Data, vol. 5, no. 2 , pp. 223-237 , doi: https://doi.org/10.1109/TBDATA.2018.2824826.

Li, W, Bai, Q

and Zhang, M 2019 , 'A multi-agent system for modelling preference-based complex influence diffusion in social networks' , The Computer Journal, vol. 62, no. 3 , pp. 430-447 , doi: https://doi.org/10.1093/comjnl/bxy078.

Li, W, Bai, Q

, Zhang, MJ and Nguyen, Tung Doan 2019 , 'Automated Influence Maintenance in Social Networks: An Agent-based Approach' , IEEE Transactions on Knowledge and Data Engineering, vol. 31 , pp. 1884-1897 , doi: https://doi.org/10.1109/TKDE.2018.2867774.

Nguyen, Tung Doan and Bai, Q

2018 , 'A Dynamic Bayesian Network approach for agent group trust evaluation' , Computers in Human Behavior, vol. 89 , pp. 237-245 , doi: https://doi.org/10.1016/j.chb.2018.07.028.

Nguyen, Tung Doan and Bai, Q

2017 , 'Enhance trust management in composite services with indirect ratings' , The Computer Journal, vol. 60, no. 11 , pp. 1619-1632 , doi: https://doi.org/10.1093/comjnl/bxx026.

Shi, J, Li, W, Yongchareon, S, Yang, Y and Bai, Q

2022 , 'Graph-based joint pandemic concern and relation extraction on Twitter' , Expert Systems With Applications, vol. 195 , doi: https://doi.org/10.1016/j.eswa.2022.116538.

Su, X, Zhang, M and Bai, Q

2019 , 'Two mathematical programming-based approaches for wireless mobile robot deployment in disaster environments' , The Computer Journal, vol. 62, no. 6 , pp. 905-918 , doi: https://doi.org/10.1093/comjnl/bxz010.

Su, X, Zhang, M and Bai, Q

2019 , 'An innovative approach for ad hoc network establishment in disaster environments by the deployment of wireless mobile agents' , ACM Transactions on Autonomous and Adaptive Systems, vol. 13, no. 4 , pp. 1-22 , doi: https://doi.org/10.1145/3337795.

Wang, X, Garg, S

, Tran, SN

, Bai, Q

and Alty, J

2021 , 'Hand tremor detection in videos with cluttered background using neural network based approaches' , Health Information Science and Systems, vol. 9, no. 1 , pp. 1-14 , doi: https://doi.org/10.1007/s13755-021-00159-3.

Wang, X, St George, RJ

, Bai, Q

, Tran, S

and Alty, J

2022 , 'New horizons in late-onset essential tremor: a pre-cognitive biomarker of dementia?' , Age and Ageing, vol. 51, no. 7 , doi: https://doi.org/10.1093/ageing/afac135.

Wang, Xinyi, St George, RJ

, Bai, Q

, Tran, SN

and Alty, JE

2022 , 'Differences in clinical manifestations of late onset, compared to earlier onset essential tremor: a scoping review' , Journal of the neurological sciences, vol. 440 , pp. 1-5 , doi: https://doi.org/10.1016/j.jns.2022.120336.

Yang, Y, Bai, Q

and Liu, Q 2019 , 'A probabilistic model for truth discovery with object correlations' , Knowledge-Based Systems, vol. 165 , pp. 360-373 , doi: https://doi.org/10.1016/j.knosys.2018.12.004.

Cao, Z

, Wong, K, Bai, Q

and Lin, C-T 2020 , 'Hierarchical and non-hierarchical multi-agent interactions based on unity reinforcement learning', paper presented at the 19th International Conference on Autonomous Agents and Multiagent Systems 2020, 9-13 May2020, University of Auckland (virtual/online).

Barati, M, Bai, Q

and Liu, Q 2018 , 'An entropy-based class assignment detection approach for RDF data', in Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence. Part II. Lecture Notes in Computer Science, volume 11013 , Springer, pp. 412-420 , doi: https://doi.org/10.1007/978-3-319-97310-4_47.

Hu, Y, Bai, Q

and Li, W 2019 , 'Context-aware influence diffusion in online social networks', in K Ohara and Q Bai (eds.), PKAW 2019 Conference Proceedings , Springer Nature, Switzerland, pp. 153-162 , doi: https://doi.org/10.1007/978-3-030-30639-7_13.

Li, W, Zhang, M, Bai, Q

and Nguyen, Tung Doan 2018 , 'Modelling multiple influences diffusion in on-line social networks', in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) , International Foundation for Autonomous Agents and Multiagent Systems, pp. 1053-1061 .

Li, W, Zhang, M, Bai, Q

and Nguyen, Tung Doan 2018 , 'Modelling multiple influences diffusion in on-line social networks', in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) , Association for Computing Machinery, Inc, United States, pp. 1053-1061 , doi: https://doi.org/10.5555/3237383.3237854.

Wang, M, Li, W, Kong, Y and Bai, Q

2019 , 'Empirical evaluation of deep learning-based travel time prediction', in K Ohara and Q Bai (eds.), PKAW 2019 Conference Proceedings , Springer Nature, Switzerland, pp. 54-65 , doi: https://doi.org/10.1007/978-3-030-30639-7_6.

Wu, S and Bai, Q

2019 , 'Incentivizing long-term engagement under limited budget', in AC Nayak and A Sharma (eds.), PRICAI 2019: Trends in Artificial Intelligence , Springer Nature, Switzerland, pp. 662-674 , doi: https://doi.org/10.1007/978-3-030-29908-8_52.

Wu, S, Bai, Q

and Kang, B

2019 , 'Adaptive incentive allocation for influence-aware proactive recommendation', in AC Nayak and A Sharma (eds.), PRICAI 2019: Trends in Artificial Intelligence , Springer Nature, Switzerland, pp. 649-661 , doi: https://doi.org/10.1007/978-3-030-29908-8_51.

Yang, Y, Bai, Q

and Liu, Q 2019 , 'Dynamic source weight computation for truth inference over data streams', in AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems , International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS), USA, pp. 277-285 , doi: https://doi.org/10.5555/3306127.3331704.

Yang, Y, Bai, Q

and Liu, Q 2018 , 'On the discovery of continuous truth: a semi-supervised approach with partial ground truths', in Proceedings of the 2018 International Conference on Web Information Systems Engineering. Lecture Notes in Computer Science, volume 11233 , Springer, pp. 424-438 , doi: https://doi.org/10.1007/978-3-030-02922-7_29.

Zheng, X, Cao, Z

and Bai, Q

2020 , 'An evoked potential-guided deep learning brain representation for visual classification', in H Yang and K Pasupa and ACS Leung and JT Kwok and JH Chan and I King (eds.), Neural Information Processing: Proceedings of the 27th International Conference on Neural Information Processing. In: Communications in Computer and Information Science, vol 1333 , Springer, Cham, Switzerland, pp. 54-61 , doi: https://doi.org/10.1007/978-3-030-63823-8_7.

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