dblp: ISNN 2019 (original) (raw)

default search action

• combined dblp search
• author search
• venue search
• publication search

Authors:

• no matches
• 

Venues:

• no matches
• 

Publications:

• no matches
• 

ISNN 2019: Moscow, Russia

• 

• 

• 

• 

• 
  jump to

  • Learning System, Graph Model, and Adversarial Learning
  • Time Series Analysis, Dynamic Prediction, and Uncertain Estimation
  • Model Optimization, Bayesian Learning, and Clustering

• 

• > Home > Conferences and Workshops > ISNN

SPARQL queries

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

• 
  • 
  • 
  • 
  • 
    Huchuan Lu, Huajin Tang, Zhanshan Wang:
    Advances in Neural Networks - ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11554, Springer 2019, ISBN 978-3-030-22795-1

Learning System, Graph Model, and Adversarial Learning

• 
  • 
  • 
  • 
  • 
    Wen Yu, Xiaoou Li, Jesus Gonzalez:
    Fast Training of Deep LSTM Networks. 3-10
• 
  • 
  • 
  • 
  • 
    Anton Agafonov, Alexander Yumaganov:
    Bus Arrival Time Prediction with LSTM Neural Network. 11-18
• 
  • 
  • 
  • 
  • 
    Tatiana T. Kaverzneva, Galina F. Malykhina, Dmitriy A. Tarkhov:
    From Differential Equations to Multilayer Neural Network Models. 19-27
• 
  • 
  • 
  • 
  • 
    Isaac Chairez, Alexander S. Poznyak, Alexander V. Nazin, Tatyana Poznyak:
    Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique. 28-38
• 
  • 
  • 
  • 
  • 
    Kechuan Wu, Xiaoping Wang, Mian Li:
    Better Performance of Memristive Convolutional Neural Network Due to Stochastic Memristors. 39-47
• 
  • 
  • 
  • 
  • 
    Ling Yu, Zhen Zhang, Xuetao Xie, Hua Chen, Jian Wang:
    Unsupervised Feature Selection Using RBF Autoencoder. 48-57
• 
  • 
  • 
  • 
  • 
    Xingjian Chen, Jianbo Su, Jun Zhang:
    A Two-Teacher Framework for Knowledge Distillation. 58-66
• 
  • 
  • 
  • 
  • 
    Yuriy S. Fedorenko, Valeriy M. Chernenkiy, Yuriy E. Gapanyuk:
    The Neural Network for Online Learning Task Without Manual Feature Extraction. 67-76
• 
  • 
  • 
  • 
  • 
    Zhe Qiu, Xiaodong Gu:
    Graph Convolution and Self Attention Based Non-maximum Suppression. 77-86
• 
  • 
  • 
  • 
  • 
    Xu Jiang, Xiaohong Ma:
    Dynamic Graph CNN with Attention Module for 3D Hand Pose Estimation. 87-96
• 
  • 
  • 
  • 
  • 
    Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
    Graph-FCN for Image Semantic Segmentation. 97-105
• 
  • 
  • 
  • 
  • 
    Yaoman Li, Irwin King:
    Architecture Search for Image Inpainting. 106-115
• 
  • 
  • 
  • 
  • 
    Chunyan Lu, Shukai Duan, Lidan Wang:
    An Improved Capsule Network Based on Newly Reconstructed Network and the Method of Sharing Parameters. 116-123
• 
  • 
  • 
  • 
  • 
    Bixiao Meng, Baomin Xu, Erjing Zhou, Shuangyuan Yu, Hongfeng Yin:
    Bidirectional Gated Recurrent Unit Networks for Relation Classification with Multiple Attentions and Semantic Information. 124-132
• 
  • 
  • 
  • 
  • 
    Vasiliy Osipov, Viktor Nikiforov:
    Functional and Structural Features of Recurrent Neural Networks with Controlled Elements. 133-140
• 
  • 
  • 
  • 
  • 
    Yun Luo, Lizhen Zhu, Bao-Liang Lu:
    A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition. 141-150
• 
  • 
  • 
  • 
  • 
    Shuailong Lian, Hejian Zhou, Yi Sun:
    FG-SRGAN: A Feature-Guided Super-Resolution Generative Adversarial Network for Unpaired Image Super-Resolution. 151-161

Time Series Analysis, Dynamic Prediction, and Uncertain Estimation

• 
  • 
  • 
  • 
  • 
    Ryotaro Miura, Lukás Pichl, Taisei Kaizoji:
    Artificial Neural Networks for Realized Volatility Prediction in Cryptocurrency Time Series. 165-172
• 
  • 
  • 
  • 
  • 
    Sebastián Basterrech:
    Pattern Matching in Sequential Data Using Reservoir Projections. 173-183
• 
  • 
  • 
  • 
  • 
    Ping Jiang, Jiejie Chen, Zhigang Zeng:
    Multi Step Prediction of Landslide Displacement Time Series Based on Extended Kalman Filter and Back Propagation Trough Time. 184-193
• 
  • 
  • 
  • 
  • 
    Mikhail S. Tarkov:
    Noise Filtering in Cellular Neural Networks. 194-201
• 
  • 
  • 
  • 
  • 
    Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan:
    Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space. 202-212
• 
  • 
  • 
  • 
  • 
    Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
    Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. 213-222
• 
  • 
  • 
  • 
  • 
    Xiaochen Lai, Xia Wu, Liyong Zhang, Genglin Zhang:
    Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values. 223-231
• 
  • 
  • 
  • 
  • 
    Di Liu, Wenwu Yu, Simone Baldi:
    Broad Learning for Optimal Short-Term Traffic Flow Prediction. 232-239
• 
  • 
  • 
  • 
  • 
    Lihua Zhou, Minrui Fei, Dajun Du, Wenting Li, Huosheng Hu, Aleksandar Rakic:
    A Novel QGA-UKF Algorithm for Dynamic State Estimation of Power System. 240-250
• 
  • 
  • 
  • 
  • 
    Guoqiang Tan, Jidong Wang, Zhanshan Wang, Xiaolong Qian:
    An Improved Result on H∞ Performance State Estimation of Delayed Static Neural Networks. 251-260
• 
  • 
  • 
  • 
  • 
    Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov:
    Uncertainty Estimation via Stochastic Batch Normalization. 261-269
• 
  • 
  • 
  • 
  • 
    Chunliang Gou, Xing He, Junjian Huang:
    A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid. 270-277
• 
  • 
  • 
  • 
  • 
    Zhongting Jiang, Dong Wang, Jin Sun, Hengyue Shi, Huijie Shang, Yuehui Chen:
    Simulation of a Chaos-Like Irregular Neural Firing Pattern Based on Improved Deterministic Chay Model. 278-287
• 
  • 
  • 
  • 
  • 
    Weidong Guan, Dengwei Yan, Lidan Wang, Shukai Duan:
    A New Complex Hyper-chaotic System and Chaotic Synchronization of Error Feedback with Disturbance. 288-296

Model Optimization, Bayesian Learning, and Clustering

• 
  • 
  • 
  • 
  • 
    Ninglei Fan, Yuping Wang, Junhua Liu, Yiu-ming Cheung:
    A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization. 299-308
• 
  • 
  • 
  • 
  • 
    Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer, Iakov Korovin:
    An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. 309-317
• 
  • 
  • 
  • 
  • 
    Man-Fai Leung, Jun Wang:
    A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection. 318-327
• 
  • 
  • 
  • 
  • 
    Junhui Mei, Xinyi Le, Xiaoting Zhang, Charlie C. L. Wang:
    A Learning-Based Approach for Perceptual Models of Preference. 328-339
• 
  • 
  • 
  • 
  • 
    Zaur M. Shibzukhov:
    Resistant Neural Network Learning via Resistant Empirical Risk Minimization. 340-350
• 
  • 
  • 
  • 
  • 
    Tingting Liu, Chuyi Song, Jingqing Jiang:
    Robotic Path Planning Based on Improved Ant Colony Algorithm. 351-358
• 
  • 
  • 
  • 
  • 
    Jesús Silva, Noel Varela, Hugo Martínez Caraballo, Jesús García Guiliany, Luis Cabas Vásquez, Jorge Navarro Beltrán, Nadia León Castro:
    An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks. 359-369
• 
  • 
  • 
  • 
  • 
    Mikhail Iu. Leontev, Alexander Mikheev, Kirill Sviatov, Sergey V. Sukhov:
    Overcoming Catastrophic Interference with Bayesian Learning and Stochastic Langevin Dynamics. 370-378
• 
  • 
  • 
  • 
  • 
    Hong Zhao, Zhi-Hui Zhan, Wei-Neng Chen, Xiaonan Luo, Tianlong Gu, Ren-Chu Guan, Lan Huang, Jun Zhang:
    An Improved Selection Operator for Multi-objective Optimization. 379-388
• 
  • 
  • 
  • 
  • 
    Yan Zhou, Yaochu Jin, Jinliang Ding:
    Evolutionary Optimization of Liquid State Machines for Robust Learning. 389-398
• 
  • 
  • 
  • 
  • 
    Jia-Xing Yang, Xiao-Feng Gong, Gui-Chen Yu:
    An Algebraic Algorithm for Joint Independent Subspace Analysis. 399-408
• 
  • 
  • 
  • 
  • 
    Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev:
    MaxEntropy Pursuit Variational Inference. 409-417
• 
  • 
  • 
  • 
  • 
    Manish Aggarwal, Madasu Hanmandlu:
    Moderated Information Sets. 418-425
• 
  • 
  • 
  • 
  • 
    Katsiaryna Krasnashchok, Aymen Cherif:
    Coherence Regularization for Neural Topic Models. 426-433
• 
  • 
  • 
  • 
  • 
    Kanghao Du, Ruizhuo Song, Qinglai Wei, Bo Zhao:
    A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information. 434-443
• 
  • 
  • 
  • 
  • 
    Xin Song, Shizhen Qin, Shaokai Niu, Yan Wang:
    ACPJS: An Anti-noise Concept Drift Processing Algorithm Based on JS-divergence. 444-453
• 
  • 
  • 
  • 
  • 
    Hangjun Che, Jun Wang, Wei Zhang:
    A Collaborative Neurodynamic Approach to Sparse Coding. 454-462
• 
  • 
  • 
  • 
  • 
    Chunying Cheng, Chunhua Bao:
    A Kernel Fuzzy C-means Clustering Algorithm Based on Firefly Algorithm. 463-468
• 
  • 
  • 
  • 
  • 
    Eduardo C. Simões, Francisco de A. T. de Carvalho:
    A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data. 469-477

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.

Unpaywalled article links

Add open access links from to the list of external document links (if available).

load links from unpaywall.org

Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.

Archived links via Wayback Machine

For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).

load content from archive.org

Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.

Reference lists

Add a list of references from , , and to record detail pages.

load references from crossref.org and opencitations.net

Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.

Citation data

Add a list of citing articles from and to record detail pages.

load citations from opencitations.net

Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.

OpenAlex data

Load additional information about publications from .

load data from openalex.org

Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.

dblp was originally created in 1993 at:

since 2018, dblp has been operated and maintained by: