1. Learning Discrete-Time Markov Chains Under Concept Drift
Author(s): Manuel Roveri
Pages: 2570 - 2582
2. Semiparametric Clustering: A Robust Alternative to Parametric Clustering
Author(s): Binbin Pan; Huaiqin Dong; Wen-Sheng Chen; Chen Xu
Pages: 2583 - 2597
3. Rescaled Boosting in Classification
Author(s): Yao Wang; Xu Liao; Shaobo Lin
Pages: 2598 - 2610
4. A Novel Equivalent Model of Active Distribution Networks Based on LSTM
Author(s): Chao Zheng; Shaorong Wang; Yilu Liu; Chengxi Liu; Wei Xie; Chen Fang; Shu Liu
Pages: 2611 - 2624
5. Neural Network Controller Design for a Class of Nonlinear Delayed Systems With Time-Varying Full-State Constraints
Author(s): Dapeng Li; C. L. Philip Chen; Yan-Jun Liu; Shaocheng Tong
Pages: 2625 - 2636
6. Submodular Function Optimization for Motion Clustering and Image Segmentation
Author(s): Jianbing Shen; Xingping Dong; Jianteng Peng; Xiaogang Jin; Ling Shao; Fatih Porikli
Pages: 2637 - 2649
7. Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction
Author(s): Babajide O. Ayinde; Tamer Inanc; Jacek M. Zurada
Pages: 2650 - 2661
8. A Lagrangian Relaxation Approach for Binary Multiple Instance Classification
Author(s): Annabella Astorino; Antonio Fuduli; Manlio Gaudioso
Pages: 2662 - 2671
9. Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution
Author(s): Renwei Dian; Shutao Li; Leyuan Fang
Pages: 2672 - 2683
10. A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution
Author(s): Zhen Ni; Shuva Paul
Pages: 2684 - 2695
11. Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach
Author(s): Dong-dong Zheng; Yongping Pan; Kai Guo; Haoyong Yu
Pages: 2696 - 2706
12. Task-Oriented GAN for PolSAR Image Classification and Clustering
Author(s): Fang Liu; Licheng Jiao; Xu Tang
Pages: 2707 - 2719
13. Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks
Author(s): Ifigeneia Apostolopoulou; Diana Marculescu
Pages: 2720 - 2734
14. Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers
Author(s): Hamed Bonab; Fazli Can
Pages: 2735 - 2745
15. Classification by Sparse Neural Networks
Author(s): Věra Kůrková; Marcello Sanguineti
Pages: 2746 - 2754
16. EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Author(s): Zhongke Gao; Xinmin Wang; Yuxuan Yang; Chaoxu Mu; Qing Cai; Weidong Dang; Siyang Zuo
Pages: 2755 - 2763
17. Mining Top-k Useful Negative Sequential Patterns via Learning
Author(s): Xiangjun Dong; Ping Qiu; Jinhu Lü; Longbing Cao; Tiantian Xu
Pages: 2764 - 2778
18. Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction
Author(s): Yanwei Pang; Bo Zhou; Feiping Nie
Pages: 2779 - 2793
19. Learning With Annotation of Various Degrees
Author(s): Joey Tianyi Zhou; Meng Fang; Hao Zhang; Chen Gong; Xi Peng; Zhiguo Cao; Rick Siow Mong Goh
Pages: 2794 - 2804
20. Adversarial Examples: Attacks and Defenses for Deep Learning
Author(s): Xiaoyong Yuan; Pan He; Qile Zhu; Xiaolin Li
Pages: 2805 - 2824
21. Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations
Author(s): Hengmin Zhang; Jianjun Qian; Junbin Gao; Jian Yang; Chunyan Xu
Pages: 2825 - 2839
22. A Recursive Approach to Quantized H∞ State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols
Author(s): Xiongbo Wan; Zidong Wang; Qing-Long Han; Min Wu
Pages: 2840 - 2852
23. A Novel Neural Network for Remote Sensing Image Matching
Author(s): Hao Zhu; Licheng Jiao; Wenping Ma; Fang Liu; Wei Zhao
Pages: 2853 - 2865
24. Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks
Author(s): Jung-Guk Park; Sungho Jo
Pages: 2866 - 2875
25. Morphological Convolutional Neural Network Architecture for Digit Recognition
Author(s): Dorra Mellouli; Tarek M. Hamdani; Javier J. Sanchez-Medina; Mounir Ben Ayed; Adel M. Alimi
Pages: 2876 - 2885
26. Unsupervised Feature Selection via Adaptive Multimeasure Fusion
Author(s): Rui Zhang; Feiping Nie; Yunhai Wang; Xuelong Li
Pages: 2886 - 2892
Tuesday, September 24, 2019
IEEE Transactions on Neural Networks and Learning Systems, Volume 30, Issue 9, September 2019.
Labels:
IEEE TNNLS,
journals
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