460299. Artificial intelligence not elsewhere classified
| Title | 460299. Artificial intelligence not elsewhere classified |
|---|---|
| Parent | 4602. Artificial intelligence |
Latest research outputs
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Advancing DoA assessment through federated learning: A one-shot pseudo data approach
Schmierer, Thomas, Li, Tianning, Wu, Di and Li, Yan. 2025. "Advancing DoA assessment through federated learning: A one-shot pseudo data approach ." Neurocomputing. 634. https://doi.org/10.1016/j.neucom.2025.129812Article
The ETHICAL Framework for Responsible Generative AI Use in Research
Eacersall, D., Pretorius, L., Smirnov, I., Spray, E., Illingworth, S., Chugh, R., Strydom, S., Stratton-Maher, D., Simmons, J., Jenning, I., Roux, R., Kamrowski, R., Downie, A., Thong, C. L. and Howell, K. A.. 2025. The ETHICAL Framework for Responsible Generative AI Use in Research . Human-AI Collaborative Knowledgebase for Education and Research (HACKER).Other
Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation
Ra, Jee Sook, Li, Tianning and Li, Yan. 2024. "Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation." IEEE Access. 12, pp. 187684-187695. https://doi.org/10.1109/ACCESS.2024.3514859Article
Maximizing influence via link prediction in evolving networks
Zhang, Kexin, Li, Mo, Teng, Shuang, Li, Lingling, Wang, Yi, Zhao, Xuezhuan, Di, Jinhong and Zhang, Ji. 2024. "Maximizing influence via link prediction in evolving networks." Array. 24. https://doi.org/10.1016/j.array.2024.100366Article
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction
Wang, Xinyu, Qiang, Feng, Ma, Li, Zhang, Peng, Yang, Hong Yang, Li, Zhao and Zhang, Ji. 2024. "Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction." 2024 International Joint Conference on Neural Networks (IJCNN). Yokohama, Japan 30 Jun - 05 Jul 2024 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN60899.2024.10651498Paper
Movie recommendation and classification system using block chain
Abduljabbar, Tamara, Tao, Xiaohui, Zhang, Ji, Yong, Jianming and Zhou, Xujuan. 2024. "Movie recommendation and classification system using block chain ." Web Intelligence. 22 (4), pp. 659-680. https://doi.org/10.3233/WEB-230346Article
Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features
Li, Tianning, Huang, Yi, Wen, Paul and Li, Yan. 2024. "Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features." Brain Informatics. 11. https://doi.org/10.1186/s40708-024-00241-yArticle
Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques
Sutradha, Ananda, Akter, Sharmin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Zhou, Xujuan, Idris, Mohd Yamani Idna Bin, Ahmed, Kawsar and Moni, Mohammad Ali. 2024. "Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques ." Heliyon. 10 (17). https://doi.org/10.1016/j.heliyon.2024.e36556Article
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
Wang, Shuang, Zhang, He, Sheng, Quan Z., Li, Xiaoping, Sun, Zhu, Cai, Taotao, Zhang, Wei Emma, Yang, Jian and Gao, Qing. 2024. "A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities." IEEE Transactions on Big Data. https://doi.org/10.1109/TBDATA.2024.3423677Article
ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection
Song, Huansheng, Wen, Ya, Song, Xiangyu, Sun, ShiJie, Cai, Taotao and Li, Jianxin. 2024. "ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore . Springer. https://doi.org/10.1007/978-981-97-2421-5_19Conference or Workshop item
MDCGA-Net: Multi-Scale Direction Context-Aware Network with Global Attention for Building Extraction from Remote Sensing Images
Niu, Penghui, Gu, Junhua, Zhang, Yajuan, Zhang, Ping, Cai, Taotao, Xu, Wenjia and Han, Jungong. 2024. "MDCGA-Net: Multi-Scale Direction Context-Aware Network with Global Attention for Building Extraction from Remote Sensing Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, pp. 8461-8476. https://doi.org/10.1109/JSTARS.2024.3387969Article
YOLO-SA: An Efficient Object Detection Model Based on Self-attention Mechanism
Li, Ang, Song, Xiangyu, Sun, ShiJie, Zhang, Zhaoyang, Cai, Taotao and Song, Huansheng. 2024. "YOLO-SA: An Efficient Object Detection Model Based on Self-attention Mechanism." 7th International Joint Conference on Asia-Pacific Web and Web-Age Information Management (APWeb-WAIM 2023). Wuhan, China 06 - 08 Oct 2023 Singapore. Springer. https://doi.org/10.1007/978-981-97-2421-5_1Paper
Technology adoption in the academic community: a multi-perspective study
Prentice, Catherine, Sengel, Ümit and Çevrimkaya, Mustafa. 2024. "Technology adoption in the academic community: a multi-perspective study." Anatolia. https://doi.org/10.1080/13032917.2024.2399553Article
A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction
Xu, Zenghui, Li, Mingzhang, Yu, Ting, Hou, Linlin, Zhang, P., Kiran, Rage Uday, Li, Zhao and Zhang, Ji. 2024. "A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction." A.M., Strauss C.Amagasa T.Manco G.Kotsis G.Khalil I.Tjoa (ed.) 35th International Conference on Database and Expert Systems Applications (DEXA 2024). Naples, Italy 26 - 28 Aug 2024 Switzerland . Springer. https://doi.org/10.1007/978-3-031-68312-1_21Paper
Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition
Li, Jun, Wang, Huabin, Wei, Shicheng, Zhou, Jian, Shen, Yuankang and Tao, Liang. 2024. "Variable Curvature Gabor Convolution and Multi-Branch Structures for Finger Vein Recognition." IEEE Transactions on Artificial Intelligence. 5 (9), pp. 4753-4764. https://doi.org/10.1109/TAI.2024.3397293Article
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Gudigar, Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Maithri, M., Inamdar, Mahesh Anil, Prabhu, Mukund A., Hegde, Ajay, Salvi, Massimo, Yeong, Chai Hong, Barua, Prabal Datta, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)." Computers in Biology and Medicine. 172. https://doi.org/10.1016/j.compbiomed.2024.108207Article
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Ghimire, Sujan, Deo, Ravinesh C., Pourmousavi, S. Ali, Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model." Engineering Applications of Artificial Intelligence. 135. https://doi.org/10.1016/j.engappai.2024.108702Article
Integrating Artificial Intelligence and Customer Experience
Chen, Ying and Prentice, Catherine. 2024. "Integrating Artificial Intelligence and Customer Experience." Australasian Marketing Journal. https://doi.org/10.1177/14413582241252904Article
AI Literacy: Principles for Ethical Generative Artificial Intelligence
Eacersall, Douglas. 2024. AI Literacy: Principles for Ethical Generative Artificial Intelligence . Human-AI Collaborative Knowledgebase for Education and Research (HACKER).Other
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Cai, Taotao, Lei, Qi, Sheng, Quan Z., Cui, Ningning, Yang, Shuiqiao, Yang, Jian, Zhang, Wei Emma and Mahmood, Adnan. 2024. "Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks." IEEE Transactions on Knowledge and Data Engineering. 36 (5), pp. 2151-2165. https://doi.org/10.1109/TKDE.2023.3316268Article
Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection
Tawhid, Md. Nurul Ahad, Siuly, Siuly, Kabir, Enamul and Li, Yan. 2024. "Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32, pp. 189-199. https://doi.org/10.1109/TNSRE.2023.3347032Article
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation
Wang, Zhen, Zhang, Yang, Pang, Yan, Wang, Nannan, Bah, Mohamed Jaward, Li, Ke and Zhang, Ji. 2024. "Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation." IEEE Transactions on Neural Networks and Learning Systems. 35 (12), pp. 17504-7518. https://doi.org/10.1109/TNNLS.2023.3305542Article
A graph-powered large-scale fraud detection system
Li, Zhao, Wang, Biao, Huang, Jiaming, Jin, Yilun, Xu, Zenghui, Zhang, Ji and Gao, Jianliang. 2024. "A graph-powered large-scale fraud detection system." International Journal of Machine Learning and Cybernetics. 15 (1), p. 115–128. https://doi.org/10.1007/s13042-023-01786-wArticle
Class-Level Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2024. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. 35 (10), pp. 13926-13940. https://doi.org/10.1109/TNNLS.2023.3273355Article
Leveraging Emotional and Artificial Intelligence for Organisational Performance
Prentice, Catherine. 2023. Leveraging Emotional and Artificial Intelligence for Organisational Performance. Singapore. Springer.Authored book
Exploring the Role of Emotional Intelligence and Artificial Intelligence on Luxury Value and Customer-Based Outcomes
Dominique-Ferreira, Sérgio Dominique-Ferreira, Gomes, Helena, Brito, Pedro Quelhas and Prentice, Catherine. 2023. "Exploring the Role of Emotional Intelligence and Artificial Intelligence on Luxury Value and Customer-Based Outcomes." 2022 International Conference in Information Technology and Education (ICITED’22). Rio de Janeiro, Brazil 14 - 16 Jul 2022 Singapore. Springer. https://doi.org/10.1007/978-981-19-6585-2_48Paper
BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients
Sutradhar, Ananda, Al Rafi, Mustahsin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Das, Subrata, Islam, MdAnaytul, Ahmed, Kawsar, Zhou, Xujuan, Azad, A. K. M, Alyami, Salem A. and Moni, Mohammad Ali. 2023. "BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients." Scientific Reports. 13 (1). https://doi.org/10.1038/s41598-023-48486-7Article
Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint
Gan, Yuquan, Liu, Wenqiang, Liu, Ying, He, Jinglu and Zhang, Ji. 2023. "Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint." 2022 5th International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2022). Xiamen China 23 - 25 Sep 2022 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3573942.3574108Paper
A Generative Adversarial Active Learning Method for Effective Outlier Detection
Bah, Mohamed Jaward, Zhang, Ji, Yu, Ting, Xia, Feng, Li, Zhao, Zhou, Shuigeng and Wang, Hongzhi. 2023. "A Generative Adversarial Active Learning Method for Effective Outlier Detection." 34th International Conference on Tools with Artificial Intelligence (ICTAI 2022). Macao, China 31 Oct - 02 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICTAI56018.2022.00027Paper
An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4Paper
An Efficient Embedding Framework for Uncertain Attribute Graph
Jiang, Ting, Yu, Ting, Qiao, Xueting and Zhang, Ji. 2023. "An Efficient Embedding Framework for Uncertain Attribute Graph." 34th International Conference on Database and Expert Systems Applications (DEXA 2023). Penang, Malaysia 28 - 30 Aug 2023 Switzerland . https://doi.org/10.1007/978-3-031-39821-6_18Paper
DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers
Zhang, Ji, Liu, Chia-Chun and Ying, Josh Jia-Ching. 2023. "DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers." Journal of Ambient Intelligence and Humanized Computing. 14 (12), pp. 15997-16009. https://doi.org/10.1007/s12652-023-04554-4Article
An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs
Yang, Yun, Yu, Hui, Zhao, Jin, Zhang, Yu, Liao, Xiaofei, Jiang, Xinyu, Jin, Hai, Liu, Haikun, Mao, Fubing, Zhang, Ji and Wang, Biao. 2023. "An efficient hardware accelerator for monotonic graph algorithms on dynamic directed graphs." Scientia Sinica Informationis. 53 (8), pp. 1575-1592. https://doi.org/10.1360/SSI-2022-0191Article
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things
Wang, Nai, Chen, Junjun, Wu, Di, Yang, Wencheng, Xiang, Yong and Sajjanhar, Atul. 2023. "Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things." Journal of Information Security and Applications. 75. https://doi.org/10.1016/j.jisa.2023.103483Article
Artificial intelligence as a boundary-crossing object for employee engagement and performance
Prentice, Catherine, Wong, IpKin Anthony and Lin, Zhiwei. 2023. "Artificial intelligence as a boundary-crossing object for employee engagement and performance." Journal of Retailing and Consumer Services. 73. https://doi.org/10.1016/j.jretconser.2023.103376Article
Engaging with intelligent voice assistants for wellbeing and brand attachment
Prentice, Catherine, Loureiro, Sandra Maria Correia and Guerreiro, João. 2023. "Engaging with intelligent voice assistants for wellbeing and brand attachment." Journal of Brand Management. 30 (5), pp. 449-460. https://doi.org/10.1057/s41262-023-00321-0Article
High-Order Correlation-Guided Slide-Level Histology Retrieval with Self-Supervised Hashing
Li, Shengrui, Zhao, Yining, Zhang, Jun, Yu, Ting, Zhang, Ji and Gao, Yue. 2023. "High-Order Correlation-Guided Slide-Level Histology Retrieval with Self-Supervised Hashing." IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (9), pp. 11008-11023. https://doi.org/10.1109/TPAMI.2023.3269810Article
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management
He, Yifan, Li, Zhao, Li, Zhenpeng, Zhou, Shuigeng, Yu, Ting and Zhang, Ji. 2023. "Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management." IEEE Transactions on Network and Service Management. 20 (2), pp. 1040-1050. https://doi.org/10.1109/TNSM.2023.3234114Article
Comparison of CNN-based deep learning architectures for rice diseases classification
Ahad, Md Taimur, Li, Yan, Song, Bo and Bhuiyan, Touhid. 2023. "Comparison of CNN-based deep learning architectures for rice diseases classification." Artificial Intelligence in Agriculture. 9, pp. 22-35. https://doi.org/10.1016/j.aiia.2023.07.001Article
Video face forgery detection via facial motion-assisted capturing dense optical flow truncation
Yang, Gaoming, Xu, Kun, Fang, Xianjin and Zhang, Ji. 2023. "Video face forgery detection via facial motion-assisted capturing dense optical flow truncation." The Visual Computer. 39 (11), pp. 5589-5608. https://doi.org/10.1007/s00371-022-02683-zArticle