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Publication search results
found 44 matches
- 2020
- Madhu S. Advani, Andrew M. Saxe, Haim Sompolinsky:
High-dimensional dynamics of generalization error in neural networks. Neural Networks 132: 428-446 (2020) - Xiuxiu Bai, Ming Yang, Zhe Liu:
On the robustness of skeleton detection against adversarial attacks. Neural Networks 132: 416-427 (2020) - Feilong Cao, Kaixuan Yao, Jiye Liang:
Deconvolutional neural network for image super-resolution. Neural Networks 132: 394-404 (2020) - Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 132: iii (2020) - Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei:
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132: 321-332 (2020) - Ozlem Faydasicok:
An improved Lyapunov functional with application to stability of Cohen-Grossberg neural networks of neutral-type with multiple delays. Neural Networks 132: 532-539 (2020) - Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks 132: 281-296 (2020) - Jose L. Salazar-González, Carlos Zaccaro, Juan Antonio Álvarez-García, Luis Miguel Soria-Morillo, Fernando Sancho-Caparrini:
Real-time gun detection in CCTV: An open problem. Neural Networks 132: 297-308 (2020) - Qingbei Guo, Xiao-Jun Wu, Josef Kittler, Zhiquan Feng:
Self-grouping convolutional neural networks. Neural Networks 132: 491-505 (2020) - Mohammad Hamghalam, Tianfu Wang, Baiying Lei:
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans. Neural Networks 132: 43-52 (2020) - Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. Neural Networks 132: 108-120 (2020) - Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal:
High-content image generation for drug discovery using generative adversarial networks. Neural Networks 132: 353-363 (2020) - Pengzhan Jin, Zhen Zhang, Aiqing Zhu, Yifa Tang, George Em Karniadakis:
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems. Neural Networks 132: 166-179 (2020) - Emmanuel Kahembwe, Subramanian Ramamoorthy:
Lower dimensional kernels for video discriminators. Neural Networks 132: 506-520 (2020) - Jun Kitazono, Ryota Kanai, Masafumi Oizumi:
Efficient search for informational cores in complex systems: Application to brain networks. Neural Networks 132: 232-244 (2020) - Maxim S. Kovalev, Lev V. Utkin:
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds. Neural Networks 132: 1-18 (2020) - Huiyuan Li, Jian-An Fang, Xiaofan Li, Leszek Rutkowski, Tingwen Huang:
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays. Neural Networks 132: 447-460 (2020) - Xin Li, Qiao Liu, Nana Fan, Zikun Zhou, Zhenyu He, Xiaoyuan Jing:
Dual-regression model for visual tracking. Neural Networks 132: 364-374 (2020) - Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo:
CariGAN: Caricature generation through weakly paired adversarial learning. Neural Networks 132: 66-74 (2020) - Huan Liu, Feilong Cao:
Improved dual-scale residual network for image super-resolution. Neural Networks 132: 84-95 (2020) - Xiao-Zhen Liu, Ze-Tao Li, Kaining Wu:
Boundary Mittag-Leffler stabilization of fractional reaction-diffusion cellular neural networks. Neural Networks 132: 269-280 (2020) - Shuai Liu, Zidong Wang, Yun Chen, Guoliang Wei:
Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach. Neural Networks 132: 211-219 (2020) - Hongjian Liu, Zidong Wang, Weiyin Fei, Jiahui Li:
H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol. Neural Networks 132: 121-130 (2020) - Christian D. Márton, Simon R. Schultz, Bruno B. Averbeck:
Learning to select actions shapes recurrent dynamics in the corticostriatal system. Neural Networks 132: 375-393 (2020) - Toshitaka Matsuki, Katsunari Shibata:
Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning. Neural Networks 132: 19-29 (2020) - Hrushikesh N. Mhaskar:
A direct approach for function approximation on data defined manifolds. Neural Networks 132: 253-268 (2020) - Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee:
Emotional EEG classification using connectivity features and convolutional neural networks. Neural Networks 132: 96-107 (2020) - Catarina Moreira, Prayag Tiwari, Hari Mohan Pandey, Peter Bruza, Andreas Wichert:
Quantum-like influence diagrams for decision-making. Neural Networks 132: 190-210 (2020) - Yusuke Nishimura, Yutaka Nakamura, Hiroshi Ishiguro:
Human interaction behavior modeling using Generative Adversarial Networks. Neural Networks 132: 521-531 (2020) - Guangjin Ou, Guoxian Yu, Carlotta Domeniconi, Xuequan Lu, Xiangliang Zhang:
Multi-label zero-shot learning with graph convolutional networks. Neural Networks 132: 333-341 (2020)
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