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| Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914 作者: Isaac Baffour Senkyire; Zhe Liu Adobe PDF(1308Kb)  |  收藏  |  浏览/下载:221/48  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| Deep Audio-Visual Learning: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376 作者: Hao Zhu; Man-Di Luo; Rui Wang; Ai-Hua Zheng; Ran He Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:199/39  |  提交时间:2021/05/24 Deep audio-visual learning audio-visual separation and localization correspondence learning generative models representation learning |
| A Comprehensive Review on Group Activity Recognition in Videos 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350 作者: Li-Fang Wu; Qi Wang; Meng Jian; Yu Qiao; Bo-Xuan Zhao Adobe PDF(1415Kb)  |  收藏  |  浏览/下载:270/63  |  提交时间:2021/05/24 Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision |
| Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333 作者: Xiao-Qin Zhang; Run-Hua Jiang; Chen-Xiang Fan; Tian-Yu Tong; Tao Wang Peng-Cheng Huang Adobe PDF(1787Kb)  |  收藏  |  浏览/下载:269/39  |  提交时间:2021/05/24 Deep learning visual tracking data-invariant data-adaptive general components |
| Computational Decision Support System for ADHD Identification 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 233-255 作者: Senuri De Silva; Sanuwani Dayarathna; Gangani Ariyarathne; Dulani Meedeniya; Sampath Jayarathna; Anne M. P. Michalek Adobe PDF(1937Kb)  |  收藏  |  浏览/下载:290/79  |  提交时间:2021/04/22 Attention deficit/hyperactivity disorder (ADHD) functional magnetic resonance imaging (fMRI) eye movement data seed-based correlation ensembled model convolutional neural network (CNN) default mode network (DMN) saccades fixations ADHD-Care decision support system (DDS) |
| Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655 作者: Zhen-Jie Yao; Jie Bi; Yi-Xin Chen 浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载:110/29  |  提交时间:2021/02/23 Deep learning healthcare electronic health records (EHR) neural networks survey. |
| Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 310-324 作者: J. Gimenez; A. Amicarelli; J. M. Toibero; F. di Sciascio; R. Carelli 浏览  |  Adobe PDF(1975Kb)  |  收藏  |  浏览/下载:123/43  |  提交时间:2021/02/23 Simultaneous localization and mapping Markov random fields iterated conditional modes modelling on-line solver. |
| A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266 作者: Jian-Ru Xue; Jian-Wu Fang; Pu Zhang Adobe PDF(2242Kb)  |  收藏  |  浏览/下载:109/38  |  提交时间:2021/02/23 Autonomous vehicle scene understanding event reasoning intention prediction scene representation. |
| Large-scale 3D Semantic Mapping Using Stereo Vision 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 194-206 作者: Yi Yang; Fan Qiu1 Hao Li; Lu Zhang; Mei-Ling Wang; Meng-Yin Fu Adobe PDF(70896Kb)  |  收藏  |  浏览/下载:163/50  |  提交时间:2021/02/23 Semantic map stereo vision motion segmentation visual odometry simultaneous localization and mapping (SLAM). |
| A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811 作者: Snehasis Banerjee; Tanushyam Chattopadhyay; Utpal Garain Adobe PDF(891Kb)  |  收藏  |  浏览/下载:185/56  |  提交时间:2021/02/22 Feature engineering sensor data analysis Internet of things (IoT) analytics interpretable learning automation. |