---
title: "Neural Networks 2018 — papers — Elamur Research"
description: "Neural Networks 2018 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-networks/2018/"
---
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# Neural Networks 2018 — papers

The works of Neural Networks published in 2018 that our library holds (publisher: Elsevier BV): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**219** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/neural-networks/2018/#works) · [**3,224** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-networks/2018/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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*

## All works of the year (219)

The most cited first; 1 with our summary link to their page here, the others to the original.

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*

[See all 219 papers in Neural Networks 2018 — papers →](https://md.research.elamur.ai/free/en/venues/neural-networks/2018/papers/)

## Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Continual Lifelong Learning with Neural Networks: A Review](https://md.research.elamur.ai/free/en/papers/parisi-2018-continual-lifelong-learning-neural-networks/) [Neural Networks](https://md.research.elamur.ai/free/en/venues/neural-networks/)**German I. Parisi, Ronald Kemker, Jose L. Part, et al.*2018 · 3,224 citations*

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Stefan Wermter**1 work here · 3,224 citations](https://md.research.elamur.ai/free/en/authors/stefan-wermter/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Rochester Institute of Technology** Rochester · United States 1 work here](https://md.research.elamur.ai/free/en/universities/rochester-institute-of-technology/) · [🎓**Universität Hamburg** Hamburg · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-hamburg/) · [🎓**Heriot-Watt University** Edinburgh · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/heriot-watt-university/)

works and citations from OpenAlex and our library.

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