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ORCIDNeurocomputing, Volume 489
Volume 489, June 2022
- Ziad Akram-Ali-Hammouri, Manuel Fernández Delgado, Audi Albtoush, Eva Cernadas, Senén Barro:
Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification. 1-8 - Li-Chen Cheng, Yen-Liang Chen, Yuan-Yu Liao:
Aspect-based sentiment analysis with component focusing multi-head co-attention networks. 9-17 - Huisi Wu, Jiasheng Liu, Fangyan Xiao, Zhenkun Wen, Lan Cheng, Jing Qin:
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. 18-26 - Chenxi Huang, Jian Wang, Qiang Xie, Yu-Dong Zhang
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Analysis methods of coronary artery intravascular images: A review. 27-39 - Dingyi Li, Zengfu Wang, Jian Yang:
Video super-resolution with inverse recurrent net and hybrid local fusion. 40-51 - Ziyan Qin, Jigen Peng, Deqaun Jin:
A method for support neuron selection in NMLI. 52-58 - Achyut Mani Tripathi, Konark Paul:
Data augmentation guided knowledge distillation for environmental sound classification. 59-77 - Saeed Khaki, Nima Safaei, Hieu Pham, Lizhi Wang:
WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting. 78-89 - Dengzhou Hu, Xing He, Xingxing Ju:
A modified projection neural network with fixed-time convergence. 90-97 - Xiang Lv, Changzhong Wang, Xiaodong Fan, Qiangkui Leng, Xiaoli Jiang:
A novel image super-resolution algorithm based on multi-scale dense recursive fusion network. 98-111 - Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song:
Penalty based robust learning with noisy labels. 112-127 - Ning Fang, Zongqian Zhan:
High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring. 128-138 - Jian-Xun Mi, Jie Feng, Ke-Yang Huang:
Designing efficient convolutional neural network structure: A survey. 139-156 - Adolfo Perrusquía:
Human-behavior learning: A new complementary learning perspective for optimal decision making controllers. 157-166 - Weiyu Guo, Jiabin Ma, Yidong Ouyang, Liang Wang, Yongzhen Huang:
Efficient convolutional networks learning through irregular convolutional kernels. 167-178 - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Few-shot image classification with composite rotation based self-supervised auxiliary task. 179-195 - Heshan Wang, Yuxi Liu, Peng Lu, Yong Luo, Dongshu Wang, Xiangyang Xu:
Echo state network with logistic mapping and bias dropout for time series prediction. 196-210 - Lingjie Li, Qiuzhen Lin, Zhong Ming:
A survey of artificial immune algorithms for multi-objective optimization. 211-229 - Xiang Yu, Jian Wang, Qingqi Hong, Raja Teku, Shui-Hua Wang, Yu-Dong Zhang:
Transfer learning for medical images analyses: A survey. 230-254 - Li-Hua Wen, Kang-Hyun Jo:
Deep learning-based perception systems for autonomous driving: A comprehensive survey. 255-270 - Hai Tao, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, Mohammad Zounemat-Kermani, Salim Heddam, Sungwon Kim, Sadeq Oleiwi Sulaiman, Mou Leong Tan, Zulfaqar Sa'adi, Ali Danandeh Mehr, Mohammed Falah Allawi, Sani Isah Abba, Jasni Mohamad Zain, Mayadah Waheed Falah, Mehdi Jamei, Neeraj Dhanraj Bokde, Maryam Bayatvarkeshi, Mustafa Al-Mukhtar, Suraj Kumar Bhagat, Tiyasha Tiyasha, Khaled Mohamed Khedher, Nadhir Al-Ansari, Shamsuddin Shahid, Zaher Mundher Yaseen:
Groundwater level prediction using machine learning models: A comprehensive review. 271-308 - Mengmeng Sheng, Shengyong Chen, Weibo Liu, Jiafa Mao, Xiaohui Liu:
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization. 309-322 - Ali Davody, Mahmoud Safari, Razvan V. Florian:
SuperCoder: Program learning under noisy conditions from superposition of states. 323-332 - Wenting Wei, Huaxi Gu, Wenshuai Deng, Zhe Xiao, Xinming Ren:
ABL-TC: A lightweight design for network traffic classification empowered by deep learning. 333-344 - Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang:
3D human motion prediction: A survey. 345-365 - Yong Wang, Yuli He, Zhiguang Zhu:
Study on fast speed fractional order gradient descent method and its application in neural networks. 366-376 - Ruiqian Zhang, Zhenfeng Shao, Xiao Huang, Jiaming Wang, Yufeng Wang, Deren Li:
Adaptive dense pyramid network for object detection in UAV imagery. 377-389 - Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo:
A survey on dendritic neuron model: Mechanisms, algorithms and practical applications. 390-406 - Sugandha Arora, Trilok Mathur, Shivi Agarwal, Kamlesh Tiwari, Phalguni Gupta:
Applications of fractional calculus in computer vision: A survey. 407-428 - Ensen Wu, Hongyan Cui, Zunming Chen, Roy E. Welsch:
Treeago: Tree-structure aggregation and optimization for graph neural network. 429-440 - Changchun Zhang, Qingjie Zhao, Heng Wu:
Deep domain adaptation via joint transfer networks. 441-448 - Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. 449-465 - Anthony Miller, John Panneerselvam, Lu Liu:
A review of regression and classification techniques for analysis of common and rare variants and gene-environmental factors. 466-485 - Qingshan Liu, Zhigang Zeng, Yaochu Jin:
Distributed machine learning, optimization and applications. 486-487 - Alberto Lamas, Siham Tabik, Antonio Cano Montes, Francisco Pérez-Hernández, Jorge García-Torres Fernández, Roberto Olmos, Francisco Herrera:
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. 488-503 - Yukun Zheng, Yixiang Liu, Rui Song, Xin Ma, Yibin Li:
Adaptive neural control for mobile manipulator systems based on adaptive state observer. 504-520 - Yan Cheng, Haifeng Zou, Huan Sun, Haomai Chen, Yingying Cai, Meng Li, Qinyi Du:
HSAN-capsule: A novel text classification model. 521-533 - Chenxi Ma, Weimin Tan, Bo Yan, Shili Zhou:
Prior embedding multi-degradations super resolution network. 534-546 - Li Li, Guangpeng Li, Liang Chang:
On self-adaptive stochastic ranking in decomposition many-objective evolutionary optimization. 547-557 - Rong-Guo Liang, Jin-Liang Wang:
PD control for passivity of coupled reaction-diffusion neural networks with multiple state couplings or spatial diffusion couplings. 558-569 - Kejie Lyu, Sicheng Pan, Yingming Li, Zhongfei Zhang:
JSENet: A deep convolutional neural network for joint image super-resolution and enhancement. 570-583 - Na Xia, Cong Wang, Huaizhen Peng, Zhongqiu Zhao, Yuqing Chen, Peipei Wang, Hua-Zheng Du, Sheng Ding, Yongtang Yu:
Optimization algorithms in wireless monitoring networks: A survey. 584-598 - Takayuki Hoshino, Suguru Kanoga, Masashi Tsubaki, Atsushi Aoyama:
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers. 599-612
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