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IEEE Transactions on Neural Networks and Learning Systems|March 24, 2022
CSTNet: A Dual-Branch Convolutional Neural Network for Imaging of Reactive Flows Using Chemical Species TomographyYunfan Jiang, Jingjing Si, Rui Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 30, 2022
iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised RepresentationsLeonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C Wunsch
IEEE Transactions on Neural Networks and Learning Systems|September 22, 2021
Spatiotemporal Sequence Prediction With Point Processes and Self-Organizing Decision TreesOguzhan Karaahmetoglu, Suleyman Serdar Kozat
IEEE Transactions on Neural Networks and Learning Systems|September 21, 2021
A Weighting Method for Feature Dimension by Semisupervised Learning With EntropyDequan Jin, Murong Yang, Ziyan Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 21, 2021
New Insights Into Drug Repurposing for COVID-19 Using Deep LearningChun Yen Lee, Yi-Ping Phoebe Chen
IEEE Transactions on Neural Networks and Learning Systems|October 12, 2018
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled ClassificationKe Ren, Haichuan Yang, Yu Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 15, 2019
Self-Paced Balance Learning for Clinical Skin Disease RecognitionJufeng Yang, Xiaoping Wu, Jie Liang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 15, 2019
Robust Event-Triggered Control Invariance of Probabilistic Boolean Control NetworksLin Lin, Jinde Cao, Leszek Rutkowski
IEEE Transactions on Neural Networks and Learning Systems|August 24, 2018
Stepsize Range and Optimal Value for Taylor-Zhang Discretization Formula Applied to Zeroing Neurodynamics Illustrated via Future Equality-Constrained Quadratic ProgrammingYunong Zhang, Huihui Gong, Min Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 7, 2019
Distribution-Free Probability Density Forecast Through Deep Neural NetworksTianyu Hu, Qinglai Guo, Zhengshuo Li, et al.
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