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IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex OptimizationJingxin Liu, Xiaofeng Liao, Jin-Song Dong
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Community Detection via Multihop Nonnegative Matrix FactorizationJiewen Guan, Bilian Chen, Xin Huang
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Tiny Object Tracking: A Large-Scale Dataset and a BaselineYabin Zhu, Chenglong Li, Yao Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical ImagesDebanjan Konar, Siddhartha Bhattacharyya, Tapan K Gandhi, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
GRLC: Graph Representation Learning With ConstraintsLiang Peng, Yujie Mo, Jie Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model TrainingJiahao Du, Na Qin, Deqing Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
PreCNet: Next-Frame Video Prediction Based on Predictive CodingZdenek Straka, Tomas Svoboda, Matej Hoffmann
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
STDNet: Rethinking Disentanglement Learning With Information TheoryZiwen Liu, Mingqiang Li, Congying Han, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd CountingPengfei Zhu, Jingqing Li, Bing Cao, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 6, 2023
Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction NetworkMingyang Zhang, Tianqi Gao, Maoguo Gong, et al.
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