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Effective interpretable learning for large-scale categorical data Journal article
Zhang, Yishuo, Zaidi, Nayyar, Zhou, Jiahui, Wang, Tao, Li, Gang. Effective interpretable learning for large-scale categorical data[J]. Data Mining and Knowledge Discovery, 2024, 38(4), 2223-2251.
Authors:  Zhang, Yishuo;  Zaidi, Nayyar;  Zhou, Jiahui;  Wang, Tao;  Li, Gang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.8/5.3 | Submit date：2024/09/03
Discriminative Bayesian Network Models  Feature Engineering  Interpretable Models  Large Categorical Datasets  Low-bias Models  
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset Conference paper
Ma, Xinyu, Liu, Xuebo, Wong, Derek F., Rao, Jun, Li, Bei, Ding, Liang, Chao, Lidia S., Tao, Dacheng, Zhang, Min. 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset[C]:European Language Resources Association (ELRA), 2024, 1-13.
Authors:  Ma, Xinyu;  Liu, Xuebo;  Wong, Derek F.;  Rao, Jun;  Li, Bei; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/07/04
Multimodal Datasets  Multimodal Machine Translation  
NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages Journal article
Liu, Xiangyong, Yang, Zhi Xin, Xu, Zhiqiang, Yan, Xiaoan. NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages[J]. Frontiers in Neurorobotics, 2022, 16, 934260.
Authors:  Liu, Xiangyong;  Yang, Zhi Xin;  Xu, Zhiqiang;  Yan, Xiaoan
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/3.1 | Submit date：2022/11/07
Delivery Packages  Detection  Neuromorphic Vision  Recognition And Falling Datasets  Space Attention Network  
Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules with Gradient Guided Learning Journal article
Gu, Suhang, Vong, Chi Man, Wong, Pak Kin, Wang, Shitong. Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules with Gradient Guided Learning[J]. IEEE Transactions on Fuzzy Systems, 2022, 30(6), 1967-1980.
Authors:  Gu, Suhang;  Vong, Chi Man;  Wong, Pak Kin;  Wang, Shitong
Favorite | TC[WOS]:10 TC[Scopus]:14  IF:10.7/9.7 | Submit date：2022/05/13
Adversarial Takagi–sugeno–kang (Tsk) Fuzzy Classifier  Deep Fuzzy Classifiers  Fuzzy Rules  Gradient Guided Learning  Large-scale Datasets  Stacked Generalization Principle  
UGRoadUpd: An Unchanged-Guided Historical Road Database Updating Framework Based on Bi-Temporal Remote Sensing Images Journal article
Zhou, Mingting, Sui, Haigang, Chen, Shanxiong, Chen, Xu, Wang, Wenqing, Wang, Jianxun, Liu, Junyi. UGRoadUpd: An Unchanged-Guided Historical Road Database Updating Framework Based on Bi-Temporal Remote Sensing Images[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23(11), 21465-21477.
Authors:  Zhou, Mingting;  Sui, Haigang;  Chen, Shanxiong;  Chen, Xu;  Wang, Wenqing; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:7.9/8.3 | Submit date：2022/08/05
Benchmark Testing  Databases  Deep Learning  Dominant-transformer  Feature Extraction  Image Segmentation  Remote Sensing  Road Change Detection Datasets  Road Network Change Detection  Road Network Update  Roads  
Empowering Interactive Robots by Learning through Multimodal Feedback Channel Conference paper
Turan, Cigdem, Koert, Dorothea, Neergaard, Karl David, Lioutikov, Rudolf. Empowering Interactive Robots by Learning through Multimodal Feedback Channel[C], 2021, 870-871.
Authors:  Turan, Cigdem;  Koert, Dorothea;  Neergaard, Karl David;  Lioutikov, Rudolf
Favorite | TC[Scopus]:0 | Submit date：2021/12/08
Datasets  Gaze Detection  Neural Networks  Text Tagging  
Simulation of Atmospheric Visibility Impairment Journal article
Zhang, Lin, Zhu, Anqi, Zhao, Shiyu, Zhou, Yicong. Simulation of Atmospheric Visibility Impairment[J]. IEEE Transactions on Image Processing, 2021, 30, 8713-8726.
Authors:  Zhang, Lin;  Zhu, Anqi;  Zhao, Shiyu;  Zhou, Yicong
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:10.8/12.1 | Submit date：2022/05/13
Atmospheric Science  Atmospheric Visibility Impairment  Image Simulation  Synthetic Datasets  
Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring Journal article
Kun Lan, Simon Fong, Wei Song, Athanasios V. Vasilakos, Richard C. Millham. Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring[J]. Symmetry, 2017, 9(10).
Authors:  Kun Lan;  Simon Fong;  Wei Song;  Athanasios V. Vasilakos;  Richard C. Millham
Favorite | TC[WOS]:9 TC[Scopus]:13  IF:2.2/2.3 | Submit date：2019/02/13
Data Stream Pre-processing  Self-adaptive Segmentation  Clustering-based Particle Swarm Optimization (Cpso)  Internet Of Things (Iot) Datasets  
Efficient variation-based feature selection for medical data classification Journal article
Fong, Simon, Liang, Justin, Siu, Shirley W. I., Chan, Jonathan H. Efficient variation-based feature selection for medical data classification[J]. Journal of Medical Imaging and Health Informatics, 2015, 5(5), 1093-1098.
Authors:  Fong, Simon;  Liang, Justin;  Siu, Shirley W. I.;  Chan, Jonathan H
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:0.659/0.660 | Submit date：2019/02/13
Classification  Feature Selection  Medical Datasets