460299. Artificial intelligence not elsewhere classified
Title | 460299. Artificial intelligence not elsewhere classified |
---|---|
Parent | 4602. Artificial intelligence |
Latest research outputs
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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
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
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
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
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. 2023. "Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3305542Article
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
Class-Level Logit Perturbation
Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2023. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3273355Article
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
RSFace: subject agnostic face swapping with expression high fidelity
Yang, Gaoming, Wang, Tao, Fang, Xianjin and Zhang, Ji. 2023. "RSFace: subject agnostic face swapping with expression high fidelity." The Visual Computer. 39 (11), pp. 5497-5511. https://doi.org/10.1007/s00371-022-02675-zArticle
Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals
Gao, Shang, Zhu, Guohun, Bialkowski, Alina and Zhou, Xujuan. 2023. "Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals." Mathematics. 11 (2), pp. 1-9. https://doi.org/10.3390/math11020464Article
Speech Synthesis with Mixed Emotions
Zhou, Kun, Sisman, Berrak, Rana, R., Schuller, Bjorn W. and Li, Haizhou. 2023. "Speech Synthesis with Mixed Emotions." IEEE Transactions on Affective Computing. 14 (4), pp. 3120-3134. https://doi.org/10.1109/TAFFC.2022.3233324Article
Dependency-aware software requirements selection using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M.W.. 2021. "Dependency-aware software requirements selection using fuzzy graphs and integer programming." Expert Systems with Applications. 167, pp. 1-23. https://doi.org/10.1016/j.eswa.2020.113748Article
Dependency-aware release planning for software projects using fuzzy graphs and integer programming
Mougouei, Davoud and Powers, David M. W.. 2019. "Dependency-aware release planning for software projects using fuzzy graphs and integer programming." Journal of Intelligent and Fuzzy Systems. 37 (3), pp. 3693-3707. https://doi.org/10.3233/JIFS-182810Article
A fuzzy framework for prioritization and partial selection of security requirements in software projects
Mougouei, Davoud, Powers, David M.W. and Mougouei, Elahe. 2019. "A fuzzy framework for prioritization and partial selection of security requirements in software projects." Journal of Intelligent and Fuzzy Systems. 37 (2), pp. 2671-2686. https://doi.org/10.3233/JIFS-182907Article
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
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.Poster
A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG
Tawhid, Md. Nurul Ahad, Siuly, Siuly and Li, Tianning. 2022. "A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG." IEEE Transactions on Instrumentation and Measurement. 71, pp. 1-11. https://doi.org/10.1109/TIM.2022.3217515Article
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG
Sadiq, Muhammad Tariq, Akbari, Hesam, Siuly, Siuly, Li, Yan and Wen, Paul. 2022. "Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland. https://doi.org/10.1007/978-3-031-20627-6_10Paper
SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly, Siuly, Li, Yan, Wen, Peng and Alcin, Omer Faruk. 2022. "SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia." Computational Intelligence and Neuroscience. 2022, pp. 1-13. https://doi.org/10.1155/2022/1992596Article
FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids
Zhu, Lin, You, Shutang, Yin, He, Zhao, Yinfeng, Li, Fuhua, Yao, Wenxuan, O'Reilley, Chris, Yu, Wenpeng, Zeng, Chujie, Deng, Xianda, Zhao, Yi, Cui, Yi, Zhang, Yao and Liu, Yilu. 2020. "FNET/GridEye: A Tool for Situational Awareness of Large Power Interconnetion Grids." 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). Delft, Netherlands 26 - 28 Oct 2020 Delft, Netherlands. https://doi.org/10.1109/ISGT-Europe47291.2020.9248857Paper
Ambient Synchrophasor Measurement Based System Inertia Estimation
Cui, Yi, You, Shutang and Liu, Yilu. 2020. "Ambient Synchrophasor Measurement Based System Inertia Estimation." 2020 IEEE Power and Energy Society General Meeting (PESGM). Montreal, Canada 02 - 06 Aug 2020 Montreal, Canada. https://doi.org/10.1109/pesgm41954.2020.9281662Paper
Multi-source information fusion for smart health with artificial intelligence
Tao, Xiaohui and Velasquez, Juan D.. 2022. "Multi-source information fusion for smart health with artificial intelligence." Information Fusion. 83-84, pp. 93-95. https://doi.org/10.1016/j.inffus.2022.03.010Editorial
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752Article
Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG
Huang, Yi, Wen, Peng, Song, Bo and Li, Yan. 2022. "Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG." Sensors. 22 (16). https://doi.org/10.3390/s22166099Article
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Prasad, Ramendra, Abdulla, Shahab and Yaseen, Zaher Mundher. 2022. "Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time‑Varying Filtered Empirical Mode Decomposition Approach." Water Resources Management. 36 (12), p. 4637–4676. https://doi.org/10.1007/s11269-022-03270-6Article
Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective
Jones, Rosalind, Mougouei, Davoud and Evans, Simon L.. 2021. "Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective." Human Behavior and Emerging Technologies. 3 (5), pp. 832-842. https://doi.org/10.1002/hbe2.304Article
Federated Learning with Real-world Datasets: Compliance with the Privacy Act
Tang, Zhaohui and Keoh, Sye Loong. 2022. "Federated Learning with Real-world Datasets: Compliance with the Privacy Act." Cho, Seongsoo (ed.) 9th International Conference on Advanced Engineering and ICT-Convergence (ICAEIC-2022). Jeju Island, Korea 13 - 15 Jul 2022 Seoul, Korea.Paper
Reordering and Partitioning of Distributed Quantum Circuits
Dadkhah, Davood, Zomorodi, Mariam, Hosseini, Seyed Ebrahim, Plawiak, Pawel and Zhou, Xujuan. 2022. "Reordering and Partitioning of Distributed Quantum Circuits." IEEE Access. 10, pp. 70329-70341. https://doi.org/10.1109/ACCESS.2022.3186485Article
Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2022. "Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world." World Wide Web. 25, pp. 1223-1241. https://doi.org/10.1007/s11280-022-01030-5Article