---
title: "Neural Networks 2018 — all accepted papers — the most cited first"
description: "All 219 papers of Neural Networks 2018 · page 1 of 3, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-networks/2018/papers/"
---
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# Neural Networks 2018: all accepted papers

219 papers · page 1 of 3 · the most cited first · [← Neural Networks 2018](https://md.research.elamur.ai/free/en/venues/neural-networks/2018/)

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1. **[A systematic study of the class imbalance problem in convolutional neural networks ↗](https://doi.org/10.1016/j.neunet.2018.07.011)**Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski*3,045 citations*
2. **[Sigmoid-weighted linear units for neural network function approximation in reinforcement learning ↗](https://doi.org/10.1016/j.neunet.2017.12.012)**Stefan Elfwing, Eiji Uchibe, Kenji Doya*2,086 citations*
3. **[Deep learning in spiking neural networks ↗](https://doi.org/10.1016/j.neunet.2018.12.002)**Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh et al.*1,386 citations*
4. **[Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram ↗](https://doi.org/10.1016/j.neunet.2018.04.018)**Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann et al.*635 citations*
5. **[Optimal approximation of piecewise smooth functions using deep ReLU neural networks ↗](https://doi.org/10.1016/j.neunet.2018.08.019)**Philipp Petersen, Felix Voigtlaender*432 citations*
6. **[A comparison of deep networks with ReLU activation function and linear spline-type methods ↗](https://doi.org/10.1016/j.neunet.2018.11.005)**Konstantin Eckle, Johannes Schmidt-Hieber*409 citations*
7. **[An extensive experimental survey of regression methods ↗](https://doi.org/10.1016/j.neunet.2018.12.010)**Manuel Fernández-Delgado, Manisha Sanjay Sirsat, Eva Cernadas et al.*377 citations*
8. **[Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection ↗](https://doi.org/10.1016/j.neunet.2018.09.002)**Tharindu Fernando, Simon Denman, Sridha Sridharan et al.*371 citations*
9. **[DGCNN: A convolutional neural network over large-scale labeled graphs ↗](https://doi.org/10.1016/j.neunet.2018.09.001)**Anh Viet Phan, Le-Minh Nguyen, Yen Lam Hoang Nguyen et al.*355 citations*
10. **[State representation learning for control: An overview ↗](https://doi.org/10.1016/j.neunet.2018.07.006)**Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou et al.*301 citations*
11. **[Echo state networks are universal ↗](https://doi.org/10.1016/j.neunet.2018.08.025)**Lyudmila Grigoryeva, Juan‐Pablo Ortega*274 citations*
12. **[Design of deep echo state networks ↗](https://doi.org/10.1016/j.neunet.2018.08.002)**Claudio Gallicchio, Alessio Micheli, Luca Pedrelli*262 citations*
13. **[Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods ↗](https://doi.org/10.1016/j.neunet.2018.01.005)**Álvaro Arcos García, Juan A. Álvarez-García, Luis Miguel Soria Morillo*244 citations*
14. **[Inter-class sparsity based discriminative least square regression ↗](https://doi.org/10.1016/j.neunet.2018.02.002)**Jie Wen, Yong Dong Xu, Yong Dong Xu et al.*219 citations*
15. **[Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks ↗](https://doi.org/10.1016/j.neunet.2018.04.007)**Shuai Yang, Juan Yu, Cheng Hu et al.*170 citations*
16. **[Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization ↗](https://doi.org/10.1016/j.neunet.2018.03.019)**Shruti Kulkarni, Bipin Rajendran*161 citations*
17. **[Fixed-time synchronization of inertial memristor-based neural networks with discrete delay ↗](https://doi.org/10.1016/j.neunet.2018.10.011)**Chuan Chen, Lixiang Li, Haipeng Peng et al.*152 citations*
18. **[Low-rank representation with adaptive graph regularization ↗](https://doi.org/10.1016/j.neunet.2018.08.007)**Jie Wen, Xiaozhao Fang, Yong Dong Xu et al.*148 citations*
19. **[Towards correlation-based time window selection method for motor imagery BCIs ↗](https://doi.org/10.1016/j.neunet.2018.02.011)**Jiankui Feng, Erwei Yin, Jing Jin et al.*143 citations*
20. **[GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework ↗](https://doi.org/10.1016/j.neunet.2018.01.010)**Lei Deng, Peng Jiao, Jing Pei et al.*142 citations*
21. **[Effective neural network training with adaptive learning rate based on training loss ↗](https://doi.org/10.1016/j.neunet.2018.01.016)**Tomoumi Takase, Satoshi Oyama, Masahito Kurihara*140 citations*
22. **[Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation ↗](https://doi.org/10.1016/j.neunet.2018.05.004)**Palanisamy Selvaraj, Rathinasamy Sakthivel, Oh‐Min Kwon*138 citations*
23. **[Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons ↗](https://doi.org/10.1016/j.neunet.2018.04.015)**Xujun Yang, Chuandong Li, Qiankun Song et al.*138 citations*
24. **[Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network ↗](https://doi.org/10.1016/j.neunet.2018.03.016)**Alvin Poernomo, Dae-Ki Kang*137 citations*
25. **[Response prediction of nonlinear hysteretic systems by deep neural networks ↗](https://doi.org/10.1016/j.neunet.2018.12.005)**Taeyong Kim, Oh‐Sung Kwon, Junho Song*132 citations*
26. **[Regularization of deep neural networks with spectral dropout ↗](https://doi.org/10.1016/j.neunet.2018.09.009)**Salman Hameed Khan, Munawar Hayat, Fatih Porikli*131 citations*
27. **[An end to end Deep Neural Network for iris segmentation in unconstrained scenarios ↗](https://doi.org/10.1016/j.neunet.2018.06.011)**Shabab Bazrafkan, Shejin Thavalengal, Peter Corcoran*127 citations*
28. **[Generative adversarial network based telecom fraud detection at the receiving bank ↗](https://doi.org/10.1016/j.neunet.2018.02.015)**Yu‐Jun Zheng, Xiaohan Zhou, Weiguo Sheng et al.*124 citations*
29. **[Bipartite synchronization in coupled delayed neural networks under pinning control ↗](https://doi.org/10.1016/j.neunet.2018.08.009)**Fang Liu, Qiang Song, Guanghui Wen et al.*123 citations*
30. **[Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks ↗](https://doi.org/10.1016/j.neunet.2018.07.013)**Andrea Soltoggio, Kenneth Owen Stanley, Sebastian Risi*121 citations*
31. **[A novel type of activation function in artificial neural networks: Trained activation function ↗](https://doi.org/10.1016/j.neunet.2018.01.007)**Ömer Faruk Ertuğrul*118 citations*
32. **[Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks ↗](https://doi.org/10.1016/j.neunet.2018.05.019)**Atharva Sharma, Xiuwen Liu, Xiaojun Yang*118 citations*
33. **[Unified synchronization criteria in an array of coupled neural networks with hybrid impulses ↗](https://doi.org/10.1016/j.neunet.2018.01.017)**Nan Wang, Xuechen Li, Jianquan Lu et al.*116 citations*
34. **[Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering ↗](https://doi.org/10.1016/j.neunet.2018.03.006)**Yang Wang, Lin Yuanbo Wu*115 citations*
35. **[A fully convolutional two-stream fusion network for interactive image segmentation ↗](https://doi.org/10.1016/j.neunet.2018.10.009)**Yang Hu, Andrea Soltoggio, Russell Lock et al.*112 citations*
36. **[General memristor with applications in multilayer neural networks ↗](https://doi.org/10.1016/j.neunet.2018.03.015)**Shiping Wen, Xudong Xie, Zheng Yan et al.*109 citations*
37. **[Passivity analysis of delayed reaction–diffusion memristor-based neural networks ↗](https://doi.org/10.1016/j.neunet.2018.10.004)**Yanyi Cao, Yuting Cao, Shiping Wen et al.*105 citations*
38. **[Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties ↗](https://doi.org/10.1016/j.neunet.2018.03.008)**Qiankun Song, Qinqin Yu, Zhenjiang Zhao et al.*104 citations*
39. **[Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation ↗](https://doi.org/10.1016/j.neunet.2018.05.008)**Lin Xiao, Zhijun Zhang, Zili Zhang et al.*104 citations*
40. **[Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors ↗](https://doi.org/10.1016/j.neunet.2018.02.017)**Uriel Martínez-Hernández, Abbas Ali Dehghani-Sanij*97 citations*
41. **[Event-triggered impulsive control on quasi-synchronization of memristive neural networks with time-varying delays ↗](https://doi.org/10.1016/j.neunet.2018.09.014)**Yufeng Zhou, Zhigang Zeng*95 citations*
42. **[An adaptive deep Q-learning strategy for handwritten digit recognition ↗](https://doi.org/10.1016/j.neunet.2018.02.010)**Junfei Qiao, Gongming Wang, Wenjing Li et al.*93 citations*
43. **[Survey and experimental study on metric learning methods ↗](https://doi.org/10.1016/j.neunet.2018.06.003)**Dalian Liu, Yingjie Tian*88 citations*
44. **[Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions ↗](https://doi.org/10.1016/j.neunet.2018.09.005)**Pingping Liu, Xiaobing Nie, Jinling Liang et al.*87 citations*
45. **[Connectivity inference from neural recording data: Challenges, mathematical bases and research directions ↗](https://doi.org/10.1016/j.neunet.2018.02.016)**I. Magrans, Junichiro Yoshimoto, Kenji Doya*86 citations*
46. **[Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays ↗](https://doi.org/10.1016/j.neunet.2018.04.014)**Leimin Wang, Zhigang Zeng, Ming‐Feng Ge et al.*85 citations*
47. **[Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout ↗](https://doi.org/10.1016/j.neunet.2017.12.015)**Anup Kumar Das, Paruthi Pradhapan, Willemijn Groenendaal et al.*85 citations*
48. **[Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays ↗](https://doi.org/10.1016/j.neunet.2018.02.003)**Hongjian Liu, Zidong Wang, Bo Shen et al.*84 citations*
49. **[Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities ↗](https://doi.org/10.1016/j.neunet.2018.05.014)**Farouk Zouari, Asier Ibeas, Abdesselem Boulkroune et al.*83 citations*
50. **[A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints ↗](https://doi.org/10.1016/j.neunet.2018.10.010)**Na Liu, Sitian Qin*79 citations*
51. **[Class-specific extreme learning machine for handling binary class imbalance problem ↗](https://doi.org/10.1016/j.neunet.2018.05.011)**Bhagat Singh Raghuwanshi, Sanyam Shukla*79 citations*
52. **[Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification ↗](https://doi.org/10.1016/j.neunet.2018.01.009)**Muqing Deng, Cong Wang, Min Tang et al.*78 citations*
53. **[Evolving Spiking Neural Networks for online learning over drifting data streams ↗](https://doi.org/10.1016/j.neunet.2018.07.014)**Jesús L. Lobo, Ibai Laña, Javier Del Ser et al.*77 citations*
54. **[Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems ↗](https://doi.org/10.1016/j.neunet.2018.08.012)**Qingtian Zhang, Huaqiang Wu, Peng Yao et al.*76 citations*
55. **[Reachable set estimation for Markovian jump neural networks with time-varying delay ↗](https://doi.org/10.1016/j.neunet.2018.09.011)**Wenjuan Lin, Yong Min He, Min Wu et al.*75 citations*
56. **[Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays ↗](https://doi.org/10.1016/j.neunet.2018.12.004)**Wei Wei Zhang, Hai Zhang, Jinde Cao et al.*75 citations*
57. **[Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller ↗](https://doi.org/10.1016/j.neunet.2018.03.001)**Shuqing Gong, Shaofu Yang, Zhenyuan Guo et al.*73 citations*
58. **[A nonnegative matrix factorization algorithm based on a discrete-time projection neural network ↗](https://doi.org/10.1016/j.neunet.2018.03.003)**Hangjun Che, Jun Wang*72 citations*
59. **[H∞ state estimation of stochastic memristor-based neural networks with time-varying delays ↗](https://doi.org/10.1016/j.neunet.2017.12.014)**Haibo Bao, Jinde Cao, Jürgen Kurths et al.*70 citations*
60. **[Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization ↗](https://doi.org/10.1016/j.neunet.2018.05.007)**Rajan Rakkiyappan, K. Sai Uma Maheswari, Gandhi Velmurugan et al.*69 citations*
61. **[Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses ↗](https://doi.org/10.1016/j.neunet.2018.03.012)**Pratap Anbalagan, Ramachandran Raja, C. Sowmiya et al.*69 citations*
62. **[Synchronization criteria for inertial memristor-based neural networks with linear coupling ↗](https://doi.org/10.1016/j.neunet.2018.06.014)**Ning Li, Wei Xing Zheng*69 citations*
63. **[Synchronization of hybrid coupled reaction–diffusion neural networks with time delays via generalized intermittent control with spacial sampled-data ↗](https://doi.org/10.1016/j.neunet.2018.04.017)**Binglong Lu, Haijun Jiang, Cheng Hu et al.*69 citations*
64. **[The Vapnik–Chervonenkis dimension of graph and recursive neural networks ↗](https://doi.org/10.1016/j.neunet.2018.08.010)**Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner*68 citations*
65. **[O ( t − α ) -synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations ↗](https://doi.org/10.1016/j.neunet.2018.01.004)**Jiejie Chen, Boshan Chen, Zhigang Zeng*66 citations*
66. **[Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation ↗](https://doi.org/10.1016/j.neunet.2018.04.001)**Qinbing Fu, Cheng Hu, Jigen Peng et al.*66 citations*
67. **[Intrinsically motivated reinforcement learning for human–robot interaction in the real-world ↗](https://doi.org/10.1016/j.neunet.2018.03.014)**Ahmed H. Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa et al.*65 citations*
68. **[Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling ↗](https://doi.org/10.1016/j.neunet.2018.08.020)**Zhenyuan Guo, Shuqing Gong, Shaofu Yang et al.*64 citations*
69. **[Passivity and stability analysis of neural networks with time-varying delays via extended free-weighting matrices integral inequality ↗](https://doi.org/10.1016/j.neunet.2018.06.010)**Myeongjin Park, Oh‐Min Kwon, Ji-Hyoung Ryu*64 citations*
70. **[Banzhaf random forests: Cooperative game theory based random forests with consistency ↗](https://doi.org/10.1016/j.neunet.2018.06.006)**Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang et al.*63 citations*
71. **[Neural network for nonsmooth pseudoconvex optimization with general convex constraints ↗](https://doi.org/10.1016/j.neunet.2018.01.008)**Wei Bian, Litao Ma, Sitian Qin et al.*61 citations*
72. **[Salient object detection based on multi-scale contrast ↗](https://doi.org/10.1016/j.neunet.2018.02.005)**Hai Wang, Lei Dai, Yingfeng Cai et al.*61 citations*
73. **[Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint ↗](https://doi.org/10.1016/j.neunet.2018.06.007)**Jingliang Sun, Chunsheng Liu*60 citations*
74. **[Global exponential stability of octonion-valued neural networks with leakage delay and mixed delays ↗](https://doi.org/10.1016/j.neunet.2018.05.006)**Călin-Adrian Popa*60 citations*
75. **[Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis ↗](https://doi.org/10.1016/j.neunet.2018.05.020)**Qiaolin Ye, Liyong Fu, Zhao Zhang et al.*59 citations*
76. **[Particle swarm optimization for network-based data classification ↗](https://doi.org/10.1016/j.neunet.2018.12.003)**Murillo Guimarães Carneiro, Ran Cheng, Liang Zhao et al.*58 citations*
77. **[Denoising Autoencoder Self-Organizing Map (DASOM) ↗](https://doi.org/10.1016/j.neunet.2018.04.016)**Christos Ferles, Yannis Papanikolaou, Kevin J. Naidoo*56 citations*
78. **[Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach ↗](https://doi.org/10.1016/j.neunet.2018.04.012)**Feibo Jiang, Li Dong, Qianwei Dai*56 citations*
79. **[Ensemble Neural Networks (ENN): A gradient-free stochastic method ↗](https://doi.org/10.1016/j.neunet.2018.11.009)**Yuntian Chen, Haibin Chang, Meng Jin et al.*56 citations*
80. **[Coupled convolution layer for convolutional neural network ↗](https://doi.org/10.1016/j.neunet.2018.05.002)**Kazutaka Uchida, Masayuki Tanaka, Masatoshi Okutomi*54 citations*
81. **[Cost-sensitive multi-label learning with positive and negative label pairwise correlations ↗](https://doi.org/10.1016/j.neunet.2018.09.003)**Guoqiang Wu, Yingjie Tian, Dalian Liu*53 citations*
82. **[Graph structured autoencoder ↗](https://doi.org/10.1016/j.neunet.2018.07.016)**Angshul Majumdar*53 citations*
83. **[Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control ↗](https://doi.org/10.1016/j.neunet.2018.04.010)**Wanli Zhang, Shiju Yang, Chuandong Li et al.*53 citations*
84. **[A new mechanical approach to handle generalized Hopfield neural networks ↗](https://doi.org/10.1016/j.neunet.2018.07.010)**Adriano Barra A, Matteo Beccaria A, Alberto Fachechi*51 citations*
85. **[Accelerating deep learning with memcomputing ↗](https://doi.org/10.1016/j.neunet.2018.10.012)**Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra*51 citations*
86. **[Impulsive synchronization of stochastic reaction–diffusion neural networks with mixed time delays ↗](https://doi.org/10.1016/j.neunet.2018.03.010)**Yin Sheng, Zhigang Zeng*50 citations*
87. **[Multi-view clustering on unmapped data via constrained non-negative matrix factorization ↗](https://doi.org/10.1016/j.neunet.2018.08.011)**Linlin Zong, Xianchao Zhang, Xinyue Liu*50 citations*
88. **[Leaderless synchronization of coupled neural networks with the event-triggered mechanism ↗](https://doi.org/10.1016/j.neunet.2018.05.012)**Siqi Lv, Wangli He, Feng Qian et al.*49 citations*
89. **[Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition ↗](https://doi.org/10.1016/j.neunet.2018.05.009)**Minju Jung, Haanvid Lee, Jun Tani*48 citations*
90. **[Neural robust stabilization via event-triggering mechanism and adaptive learning technique ↗](https://doi.org/10.1016/j.neunet.2018.02.007)**Ding Wang, Derong Liu*48 citations*
91. **[Learning a discriminant graph-based embedding with feature selection for image categorization ↗](https://doi.org/10.1016/j.neunet.2018.12.008)**Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek*47 citations*
92. **[Delayed state-feedback control for stabilization of neural networks with leakage delay ↗](https://doi.org/10.1016/j.neunet.2018.05.013)**Haitao Zhu, Rajan Rakkiyappan, Xiaodi Li*46 citations*
93. **[Personalized response generation by Dual-learning based domain adaptation ↗](https://doi.org/10.1016/j.neunet.2018.03.009)**Min Yang, Wenting Tu, Qiang Qu et al.*46 citations*
94. **[A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis ↗](https://doi.org/10.1016/j.neunet.2018.08.023)**Francesco Beritelli, Giacomo Capizzi, Grazia Lo Sciuto et al.*44 citations*
95. **[Anti-synchronization of complex-valued memristor-based delayed neural networks ↗](https://doi.org/10.1016/j.neunet.2018.04.008)**Dan Liu, Song Zhu, Kaili Sun*44 citations*
96. **[Distant supervision for relation extraction with hierarchical selective attention ↗](https://doi.org/10.1016/j.neunet.2018.08.016)**Peng Zhou, Jiaming Xu, Zhenyu Qi et al.*44 citations*
97. **[New conditions for global stability of neutral-type delayed Cohen–Grossberg neural networks ↗](https://doi.org/10.1016/j.neunet.2018.06.009)**Neyir Ozcan*44 citations*
98. **[Neighborhood preserving neural network for fault detection ↗](https://doi.org/10.1016/j.neunet.2018.09.010)**Haitao Zhao, Zhihui Lai*43 citations*
99. **[Distant supervision for neural relation extraction integrated with word attention and property features ↗](https://doi.org/10.1016/j.neunet.2018.01.006)**Jianfeng Qu, Dantong Ouyang, Wen Hua et al.*42 citations*
100. **[Improved multi-view privileged support vector machine ↗](https://doi.org/10.1016/j.neunet.2018.06.017)**Jingjing Tang, Yingjie Tian, Xiaohui Liu et al.*42 citations*

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