460206. Knowledge representation and reasoning
| Title | 460206. Knowledge representation and reasoning |
|---|---|
| Parent | 4602. Artificial intelligence |
Latest research outputs
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Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj, Shrestha, Anup and Btoush, Eyad. 2025. "Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration." 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). Brisbane, Australia 28 Nov - 02 Dec 2024 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD65573.2024.00073Paper
Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight
Wu, Xiaohua, Li, Lin, Tao, Xiaohui and Li, Yuefeng. 2024. "Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight." 20th International Conference on Advanced Data Mining Applications (ADMA 2024). Sydney, Australia 03 - 05 Dec 2025 Singapore. Springer. https://doi.org/10.1007/978-981-96-0811-9_13Paper
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
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
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
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
Information fusion in crime event analysis: A decade survey on data, features and models
Hu, Kaixi, Li, Lin, Tao, Xiaohui, Velasquez, Juan D. and Delaney, Patrick. 2023. "Information fusion in crime event analysis: A decade survey on data, features and models." Information Fusion. 100. https://doi.org/10.1016/j.inffus.2023.101904Article
Information, Uncertainty & Espionage
Phillips, Peter J. and Pohl, Gabriela. 2024. "Information, Uncertainty & Espionage." The Review of Austrian Economics. 37 (1), pp. 35-54. https://doi.org/10.1007/s11138-022-00587-8Article
Automated major depressive disorder detection using melamine pattern with EEG signals
Aydemir, Emrah, Tuncer, Tucker, Dogan, Sengul, Gururajan, Raj and Acharya, U. Rajendra. 2021. "Automated major depressive disorder detection using melamine pattern with EEG signals." Applied Intelligence. 51, pp. 6449-6466. https://doi.org/10.1007/s10489-021-02426-yArticle
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn W.. 2020. "Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition." 21st Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing (INTERSPEECH 2020). Shanghai, China 25 - 29 Oct 2020 France. https://doi.org/10.21437/Interspeech.2020-3190Paper
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science
Jahmunah, Vicnesh, Sudarshan, Vidya K., Oh, Shu Lih, Gururajan, Raj, Gururajan, Rashmi, Zhou, Xujuan, Tao, Xiaohui, Faust, Oliver, Ciaccio, Edward J., Ng, Kwan Hoong and Acharya, U. Rajendra. 2021. "Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science." International Journal of Imaging Systems and Technology. 31 (2), pp. 455-471. https://doi.org/10.1002/ima.22552Article