• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 42 matches

• 2024
• 
  Neil W. Bailey, Ben D. Fulcher, Bridget Caldwell, Aron T. Hill, Bernadette M. Fitzgibbon, Hanneke van Dijk, Paul B. Fitzgerald:
  Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction. Neural Networks 171: 171-185 (2024)
• 
  Luis Balderas, Miguel Lastra, José Manuel Benítez:
  Optimizing dense feed-forward neural networks. Neural Networks 171: 229-241 (2024)
• 
  Zedong Bi, Haoran Li, Liang Tian:
  Top-down generation of low-resolution representations improves visual perception and imagination. Neural Networks 171: 440-456 (2024)
• 
  Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
  Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks 171: 215-228 (2024)
• 
  Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng:
  Adaptive-weighted deep multi-view clustering with uniform scale representation. Neural Networks 171: 114-126 (2024)
• 
  Hao Chen, Yu Guang Wang, Huan Xiong:
  Corrigendum to "Lower and upper bounds for numbers of linear regions of graph convolutional networks" [Neural Networks Volume 168, November 2023, Pages 394-404]. Neural Networks 171: 144 (2024)
• 
  Lei Cheng, Tong Yu, Ruslan Khalitov, Zhirong Yang:
  Self-supervised Learning for DNA sequences with circular dilated convolutional networks. Neural Networks 171: 466-473 (2024)
• 
  Yuning Cui, Alois Knoll:
  Dual-domain strip attention for image restoration. Neural Networks 171: 429-439 (2024)
• 
  Gaochen Dong, W. Chen:
  Blockwise compression of transformer-based models without retraining. Neural Networks 171: 423-428 (2024)
• 
  Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar:
  Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks 171: 25-39 (2024)
• 
  Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian:
  Generalized robust loss functions for machine learning. Neural Networks 171: 200-214 (2024)
• 
  Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
  Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks 171: 40-52 (2024)
• 
  Yitong Guo, Mi Lv, Chun-Ni Wang, Jun Ma:
  Energy controls wave propagation in a neural network with spatial stimuli. Neural Networks 171: 1-13 (2024)
• 
  Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Prayag Tiwari, Xiang Wan:
  Document-level Relation Extraction with Relation Correlations. Neural Networks 171: 14-24 (2024)
• 
  Wenwen Jia, Tingwen Huang, Sitian Qin:
  A collective neurodynamic penalty approach to nonconvex distributed constrained optimization. Neural Networks 171: 145-158 (2024)
• 
  Arya Karami, Seyed Taghi Akhavan Niaki:
  An Online Support Vector Machine Algorithm for Dynamic Social Network Monitoring. Neural Networks 171: 497-511 (2024)
• 
  Xinxin Kong, Fei Yu, Wei Yao, Shuo Cai, Jin Zhang, Hairong Lin:
  Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation. Neural Networks 171: 85-103 (2024)
• 
  Bo Li, Zhixin Li:
  Large-Scale Cross-Modal Hashing with Unified Learning and Multi-Object Regional Correlation Reasoning. Neural Networks 171: 276-292 (2024)
• 
  Jinming Li, Qingshan Liu, Guoyi Chi:
  Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation. Neural Networks 171: 61-72 (2024)
• 
  Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu:
  Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. Neural Networks 171: 186-199 (2024)
• 
  Jin Li, Qingyu Sun, Feng Zhang, Beining Yang:
  Meta-structure-based graph attention networks. Neural Networks 171: 362-373 (2024)
• 
  Haojin Li, Xiaofeng Yue, Sitian Qin:
  Distributed time-varying optimization control protocol for multi-agent systems via finite-time consensus approach. Neural Networks 171: 73-84 (2024)
• 
  Wen-Juan Lin, Qingzhi Wang, Guoqiang Tan:
  Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach. Neural Networks 171: 53-60 (2024)
• 
  Xiaochen Liu, Tao Zhang, Mingming Liu:
  Joint estimation of pose, depth, and optical flow with a competition-cooperation transformer network. Neural Networks 171: 263-275 (2024)
• 
  Yong Luo, Jianying Zheng, Xiang Wang, Yanyun Tao, Xingxing Jiang:
  GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction. Neural Networks 171: 251-262 (2024)
• 
  Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan:
  Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. Neural Networks 171: 127-143 (2024)
• 
  Wing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang:
  Improving domain generalization by hybrid domain attention and localized maximum sensitivity. Neural Networks 171: 320-331 (2024)
• 
  Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara:
  On the compression of neural networks using ℓ0-norm regularization and weight pruning. Neural Networks 171: 343-352 (2024)
• 
  Wen Ou, Biao Luo, Bingchuan Wang, Yuqian Zhao:
  Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds. Neural Networks 171: 474-484 (2024)
• 
  Daogang Peng, Weiyi Zhou, Junzhen Pan, Danhao Wang:
  MSEDNet: Multi-scale fusion and edge-supervised network for RGB-T salient object detection. Neural Networks 171: 410-422 (2024)

skipping 12 more matches