4602. Artificial intelligence
| Title | 4602. Artificial intelligence |
|---|---|
| Parent | 46. Information and Computing Sciences |
Latest research outputs
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Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards
Li, Ming, Li, Lin, Tao, Xiaohui, Xie, Zhongwei, Xie, Qing and Yuan, Jingling. 2024. "Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards ." ACM Transactions on Intelligent Systems and Technology. 15 (4), pp. 1-28. https://doi.org/10.1145/3643859Article
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
Chen, Xieling, Xie, Haoran, Qin, S. Joe, Cai, Yaping, Tao, Xiaohui and Wang, Fu Lee. 2024. "Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis." Cognitive Computation. https://doi.org/10.1007/s12559-024-10331-yArticle
Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs
Yan, Cheng, Zhao, Feng, Tao, Xiaohui and Zhu, Xiaofeng. 2024. "Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs." IEEE Transactions on Big Data. https://doi.org/10.1109/TBDATA.2024.3453749Article
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
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
Zhang, Jiale, Zhu, Chengcheng, Wu, Di, Sun, Xiaobing, Yong, Jianming and Long, Guodong. 2024. "BADFSS: Backdoor Attacks on Federated Self-Supervised Learning." Larson, Kate (ed.) 33rd International Joint Conference on Artificial Intelligence (IJCAI-24). Jeju, Korea 03 - 09 Aug 2024 Korea. https://doi.org/10.24963/ijcai.2024/61Presentation
Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women
Gopalakrishnan, Abinaya. 2024. Enhanced AI-Based Methodologies for Detection of Prenatal & Postnatal Depression In Women. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z960xPhD Thesis
From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding
Cai, Borui, Xiang, Yong, Gao, Longxiang, Wu, Di, Zhang, He, Jin, Jiong and Luan, Tom. 2024. "From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding." IEEE Transactions on Knowledge and Data Engineering. https://doi.org/DOI:10.1109/TKDE.2024.3437479Article
Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia
Raj, Nawin, Murali, Jaishukh, Singh-Peterson, Lila and Downs, Nathan. 2024. "Prediction of Sea Level Using Double Data Decomposition and Hybrid Deep Learning Model for Northern Territory, Australia." Mathematics. 12 (15). https://doi.org/10.3390/math12152376Article
Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems
Wang, Eric, Collins, Brian, Attard, Steve and Everingham, Yvette. 2024. "Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems." 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024). Townsville, Australia 15 - 19 Apr 2024 Australia. Australian Society of Sugar Cane Technologists.Paper
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan, Tao, Xiaohui and Xu, Guandong. 2024. "Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics." ACM Transactions on Information Systems. 42 (3), pp. 1-35. https://doi.org/10.1145/3632403Article
Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry
Raj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho. 2024. "Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry." IEEE Access. 12, pp. 72530-72543. https://doi.org/10.1109/ACCESS.2024.3401091Article
Chaotic opposition Golden Sinus Algorithm for global optimization problems
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir and Acharya, U. Ranjendra. 2024. "Chaotic opposition Golden Sinus Algorithm for global optimization problems." Chaos, Solitons and Fractals. 183. https://doi.org/10.1016/j.chaos.2024.114869Article
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Nasarian, Elham, Alizadehsani, Roohallah, Acharya, U.Rajendra and Tsui, Kwok-Leung. 2024. "Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework." Information Fusion. 108. https://doi.org/10.1016/j.inffus.2024.102412Article
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. https://doi.org/10.1109/TAI.2024.3397293Article
DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals
Kirik, Serkan, Tasci, Irem, Barua, Prabal D., Yildiz, Arif Metehan, Keles, Tugce, Baygin, Mehmet, Tuncer, Ilknur, Dogan, Sengul, Tuncer, Turker, Devi, Aruna, Tan, Ru-San and Acharya, U.R.. 2024. "DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signals." Knowledge-Based Systems. 300. https://doi.org/10.1016/j.knosys.2024.112150Article
Transfer learning with spinally shared layers
Kabir, H.M. Dipu, Mondal, Subrota Kumar, Alam, Syed Bahauddin and Acharya, U. Rajendra. 2024. "Transfer learning with spinally shared layers." Applied Soft Computing. 163, pp. -. https://doi.org/10.1016/j.asoc.2024.111908Article
Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction
Hu, Kaixi, Li, Lin, Tao, Xiaohui and Zhang, Jianwei. 2024. "Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction." IEEE Signal Processing Letters. 31, pp. 1234-1238. https://doi.org/10.1109/LSP.2024.3393863Article
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
An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals
Dogan, Sengul, Barua, Prabal Datta, Tuncer, Turker and Acharya, U. Rajendra. 2024. "An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals." Engineering Applications of Artificial Intelligence. 133 (Part D). https://doi.org/10.1016/j.engappai.2024.108306Article
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
The dark side of artificial intelligence in marketing: meta-analytics review
Barari, Mojtaba, Ferm, Lars-Erik Casper, Quach, Sara, Thaichon, Park and Ngo, Liem. 2024. "The dark side of artificial intelligence in marketing: meta-analytics review." Marketing Intelligence and Planning. 42 (7), pp. 1234-1256. https://doi.org/10.1108/MIP-09-2023-0494Article
AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models
Aydin, Mehmet, Barua, Prabal Datta, Chadalavada, Sreenivasulu, Dogan, Sengul, Tuncer, Turker, Chakraborty, Subrata and Acharya, Rajendra U.. 2024. "AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models." Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-19163-2Article
Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion
Zhang, Kexin, Zhao, Xuezhuan, Chen, Yu, Wu, Di, Cai, Taotao, Wang, Yi, Li, Lingling and Zhang, Ji. 2024. "Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion." International Journal of Electrochemical Science. 19 (5). https://doi.org/10.1016/j.ijoes.2024.100558Article
Leveraging edge artificial intelligence for sustainable agriculture
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe, Bock, Clive H., Mahlein, Anne-Katrin, Fettweis, Xavier, Mercatoris, Benoit, Adams, Frank, Lenné, Jillian M. and Hamdioui, Said. 2024. "Leveraging edge artificial intelligence for sustainable agriculture." Nature Sustainability. 7, pp. 846-854. https://doi.org/10.1038/s41893-024-01352-4Article
Making sense of student feedback and engagement using artificial intelligence
Dann, Christopher, Redmond, Petrea, Fanshawe, Melissa, Brown, Alice, Getenet, Seyum, Shaik, Thanveer, Tao, Xiaohui, Galligan, Linda and Li, Yan. 2024. "Making sense of student feedback and engagement using artificial intelligence." Australasian Journal of Educational Technology. 40 (3). https://doi.org/10.14742/ajet.8903Article
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model." IEEE Access. 12, pp. 58750-58777. https://doi.org/10.1109/ACCESS.2024.3392899Article
Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques
Joseph, Lionel Prakash. 2024. Advancing Stochastic Wind Speed Forecasting Methods with Novel Hybrid Deep Learning Techniques. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7967PhD by Publication
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Abdi, Erfan, Ali, Mumtaz, Guimarães Santos, Celso Augusto, Olusola, Adeyemi and Ghorbani, Mohammad Ali. 2024. "Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models." Groundwater for Sustainable Development. 26. https://doi.org/10.1016/j.gsd.2024.101213Article
Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index
Chand, Ravinesh, Nguyen-Huy, Thong, Deo, Ravinesh C., Ghimire, Sujan, Ali, Mumtaz and Ghahramani, Afshin. 2024. "Copula-Probabilistic Flood Risk Analysis with an Hourly Flood Monitoring Index." Water. 16 (11). https://doi.org/https://doi.org/10.3390/w16111560Article
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
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Pourmousavi, S. Ali and Acharya, U. Rajendra. 2024. "Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model." Engineering Applications of Artificial Intelligence. 132. https://doi.org/10.1016/j.engappai.2024.107918Article
The effects of artificial intelligence applications in educational settings: Challenges and strategies
Ali, Omar, Murray, Peter A., Momin, Mujtaba, Dwivedi, Yogesh K. and Howell, Tegwen. 2024. "The effects of artificial intelligence applications in educational settings: Challenges and strategies." Technological Forecasting and Social Change. 199. https://doi.org/10.1016/j.techfore.2023.123076Article
FedInverse: Evaluating Privacy Leakage in Federated Learning
Wu, Di, Bai, Jun, Song,Yiliao, Chen, Junjun, Zhou, Wei, Xiang, Yong and Sajjanhar, Atul. 2024. "FedInverse: Evaluating Privacy Leakage in Federated Learning." The Twelfth International Conference on Learning Representations. Vienna, Austria 07 - 11 May 2024 Austria.Paper
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey
Rao, Bosen, Zhang, Jiale, Wu, Di, Zhu, Chengcheng, Sun, Xiaobing and Chen, Bing. 2024. "Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey." IEEE Transactions on Artificial Intelligence. https://doi.org/10.1109/TAI.2024.3363670Article
Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia
Raj, Nawin and Prakash, Reema. 2024. "Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia." Sustainable Horizons . 11. https://doi.org/10.1016/j.horiz.2024.100098Article
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
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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