Artículos de revistas sobre el tema "Heterogeneous neural networks"
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Zeng, Wei, Ge Fan, Shan Sun, Biao Geng, Weiyi Wang, Jiacheng Li y Weibo Liu. "Collaborative filtering via heterogeneous neural networks". Applied Soft Computing 109 (septiembre de 2021): 107516. http://dx.doi.org/10.1016/j.asoc.2021.107516.
Texto completoDrakopoulos, John A. y Ahmad Abdulkader. "Training neural networks with heterogeneous data". Neural Networks 18, n.º 5-6 (julio de 2005): 595–601. http://dx.doi.org/10.1016/j.neunet.2005.06.011.
Texto completoTurner, Andrew James y Julian Francis Miller. "NeuroEvolution: Evolving Heterogeneous Artificial Neural Networks". Evolutionary Intelligence 7, n.º 3 (noviembre de 2014): 135–54. http://dx.doi.org/10.1007/s12065-014-0115-5.
Texto completoZhang, Chen, Zhouhua Tang, Bin Yu, Yu Xie y Ke Pan. "Deep heterogeneous network embedding based on Siamese Neural Networks". Neurocomputing 388 (mayo de 2020): 1–11. http://dx.doi.org/10.1016/j.neucom.2020.01.012.
Texto completoSun, Yizhou, Jiawei Han, Xifeng Yan, Philip S. Yu y Tianyi Wu. "Heterogeneous information networks". Proceedings of the VLDB Endowment 15, n.º 12 (agosto de 2022): 3807–11. http://dx.doi.org/10.14778/3554821.3554901.
Texto completoIddianozie, Chidubem y Gavin McArdle. "Towards Robust Representations of Spatial Networks Using Graph Neural Networks". Applied Sciences 11, n.º 15 (27 de julio de 2021): 6918. http://dx.doi.org/10.3390/app11156918.
Texto completoGracious, Tony, Shubham Gupta, Arun Kanthali, Rui M. Castro y Ambedkar Dukkipati. "Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 5 (18 de mayo de 2021): 4054–62. http://dx.doi.org/10.1609/aaai.v35i5.16526.
Texto completoWu, Nan y Chaofan Wang. "Ensemble Graph Attention Networks". Transactions on Machine Learning and Artificial Intelligence 10, n.º 3 (12 de junio de 2022): 29–41. http://dx.doi.org/10.14738/tmlai.103.12399.
Texto completoSon, Ha Min, Moon Hyun Kim y Tai-Myoung Chung. "Comparisons Where It Matters: Using Layer-Wise Regularization to Improve Federated Learning on Heterogeneous Data". Applied Sciences 12, n.º 19 (3 de octubre de 2022): 9943. http://dx.doi.org/10.3390/app12199943.
Texto completoHosny, Khalid M., Marwa M. Khashaba, Walid I. Khedr y Fathy A. Amer. "An Efficient Neural Network-Based Prediction Scheme for Heterogeneous Networks". International Journal of Sociotechnology and Knowledge Development 12, n.º 2 (abril de 2020): 63–76. http://dx.doi.org/10.4018/ijskd.2020040104.
Texto completoMoreno-Alvarez, Sergio, Juan M. Haut, Mercedes E. Paoletti y Juan A. Rico-Gallego. "Heterogeneous model parallelism for deep neural networks". Neurocomputing 441 (junio de 2021): 1–12. http://dx.doi.org/10.1016/j.neucom.2021.01.125.
Texto completoZhao, Jianan, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song y Yanfang Ye. "Heterogeneous Graph Structure Learning for Graph Neural Networks". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 5 (18 de mayo de 2021): 4697–705. http://dx.doi.org/10.1609/aaai.v35i5.16600.
Texto completoUchikoba, Fumio, Minami Kaneko y Ken Saito. "Heterogeneous Integration on Neural Networks IC Mounted MEMS Microrobot". Journal of Japan Institute of Electronics Packaging 20, n.º 6 (2017): 376–81. http://dx.doi.org/10.5104/jiep.20.376.
Texto completoYang, Xiaocheng, Mingyu Yan, Shirui Pan, Xiaochun Ye y Dongrui Fan. "Simple and Efficient Heterogeneous Graph Neural Network". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junio de 2023): 10816–24. http://dx.doi.org/10.1609/aaai.v37i9.26283.
Texto completoMartin Happ, Matthias Herlich, Christian Maier, Jia Lei Du y Peter Dorfinger. "Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies". ITU Journal on Future and Evolving Technologies 2, n.º 4 (25 de junio de 2021): 1–8. http://dx.doi.org/10.52953/tejx5530.
Texto completoSaxena, Shruti y Joydeep Chandra. "SAlign: A Graph Neural Attention Framework for Aligning Structurally Heterogeneous Networks". Journal of Artificial Intelligence Research 77 (12 de julio de 2023): 949–69. http://dx.doi.org/10.1613/jair.1.14427.
Texto completoMa, Lili, Jiangping Liu y Jidong Luo. "Method of Wireless Sensor Network Data Fusion". International Journal of Online Engineering (iJOE) 13, n.º 09 (22 de septiembre de 2017): 114. http://dx.doi.org/10.3991/ijoe.v13i09.7589.
Texto completoYuan, Peisen, Yi Sun y Hengliang Wang. "Heterogeneous Information Network-Based Recommendation with Metapath Search and Memory Network Architecture Search". Mathematics 10, n.º 16 (12 de agosto de 2022): 2895. http://dx.doi.org/10.3390/math10162895.
Texto completoYang, Zan, Xiaoxin Zhang y Yuping Zhao. "Cyclostationarity-Based Narrowband Interference Suppression for Heterogeneous Networks Using Neural Network". Wireless Personal Communications 68, n.º 3 (24 de diciembre de 2011): 993–1012. http://dx.doi.org/10.1007/s11277-011-0495-0.
Texto completoMa, Minglin, Kangling Xiong, Zhijun Li y Yichuang Sun. "Dynamic Behavior Analysis and Synchronization of Memristor-Coupled Heterogeneous Discrete Neural Networks". Mathematics 11, n.º 2 (10 de enero de 2023): 375. http://dx.doi.org/10.3390/math11020375.
Texto completoLu, Guangquan, Jiecheng Li y Jian Wei. "Aspect sentiment analysis with heterogeneous graph neural networks". Information Processing & Management 59, n.º 4 (julio de 2022): 102953. http://dx.doi.org/10.1016/j.ipm.2022.102953.
Texto completoZhang, Mengmei, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang y Jun Zhou. "Robust Heterogeneous Graph Neural Networks against Adversarial Attacks". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 4 (28 de junio de 2022): 4363–70. http://dx.doi.org/10.1609/aaai.v36i4.20357.
Texto completoTimofeev. "Theory and modeling for heterogeneous polynomial neural networks". SPIIRAS Proceedings, n.º 4 (17 de marzo de 2014): 73. http://dx.doi.org/10.15622/sp.4.4.
Texto completoCasilari, E., A. Jurado, G. Pansard, A. Díaz-Estrella y F. Sandoval. "Modelling aggregate heterogeneous ATM sources using neural networks". Electronics Letters 32, n.º 4 (1996): 363. http://dx.doi.org/10.1049/el:19960273.
Texto completoChavez, M., M. Besserve y M. Le Van Quyen. "Dynamics of excitable neural networks with heterogeneous connectivity". Progress in Biophysics and Molecular Biology 105, n.º 1-2 (marzo de 2011): 29–33. http://dx.doi.org/10.1016/j.pbiomolbio.2010.11.002.
Texto completoLeon, Florin y Mihai Horia Zaharia. "Stacked Heterogeneous Neural Networks for Time Series Forecasting". Mathematical Problems in Engineering 2010 (2010): 1–20. http://dx.doi.org/10.1155/2010/373648.
Texto completoTsuji, Masayuki, Teijiro Isokawa, Takayuki Yumoto, Nobuyuki Matsui y Naotake Kamiura. "Heterogeneous recurrent neural networks for natural language model". Artificial Life and Robotics 24, n.º 2 (23 de noviembre de 2018): 245–49. http://dx.doi.org/10.1007/s10015-018-0507-1.
Texto completoOzcan, Alper y Sule Gunduz Oguducu. "Link prediction in evolving heterogeneous networks using the NARX neural networks". Knowledge and Information Systems 55, n.º 2 (11 de julio de 2017): 333–60. http://dx.doi.org/10.1007/s10115-017-1073-x.
Texto completoSCHLIEBS, STEFAN, NIKOLA KASABOV y MICHAËL DEFOIN-PLATEL. "ON THE PROBABILISTIC OPTIMIZATION OF SPIKING NEURAL NETWORKS". International Journal of Neural Systems 20, n.º 06 (diciembre de 2010): 481–500. http://dx.doi.org/10.1142/s0129065710002565.
Texto completoZhong, Hongwei, Mingyang Wang y Xinyue Zhang. "HeMGNN: Heterogeneous Network Embedding Based on a Mixed Graph Neural Network". Electronics 12, n.º 9 (6 de mayo de 2023): 2124. http://dx.doi.org/10.3390/electronics12092124.
Texto completoLiu, Zhenguo, Chao Ma, Jimiao Zhao, Haiyang Hu y Xiongyi Yin. "Graph Transformation Based on Heterogeneous Information Network for Graph Algorithms". Journal of Physics: Conference Series 2575, n.º 1 (1 de agosto de 2023): 012006. http://dx.doi.org/10.1088/1742-6596/2575/1/012006.
Texto completoLiao, Shengbin, Xiaofeng Wang y ZongKai Yang. "A heterogeneous two-stream network for human action recognition". AI Communications 36, n.º 3 (21 de agosto de 2023): 219–33. http://dx.doi.org/10.3233/aic-220188.
Texto completoBulygin, M. V., M. M. Gayanova, A. M. Vulfin, A. D. Kirillova y R. Ch Gayanov. "Convolutional neural network in the images colorization problem". Information Technology and Nanotechnology, n.º 2416 (2019): 340–53. http://dx.doi.org/10.18287/1613-0073-2019-2416-340-353.
Texto completoAldana, Carlos I., Rodrigo Munguía, Emmanuel Cruz-Zavala y Emmanuel Nuño. "Pose Consensus of Multiple Robots with Time-Delays Using Neural Networks". Robotica 37, n.º 5 (15 de enero de 2019): 883–905. http://dx.doi.org/10.1017/s0263574718001388.
Texto completoLi, Ji-chao, Dan-ling Zhao, Bing-Feng Ge, Ke-Wei Yang y Ying-Wu Chen. "A link prediction method for heterogeneous networks based on BP neural network". Physica A: Statistical Mechanics and its Applications 495 (abril de 2018): 1–17. http://dx.doi.org/10.1016/j.physa.2017.12.018.
Texto completoHah, Jen M., Po L. Tien y Maria C. Yuang. "Neural-network-based call admission control in ATM networks with heterogeneous arrivals". Computer Communications 20, n.º 9 (septiembre de 1997): 732–40. http://dx.doi.org/10.1016/s0140-3664(97)00101-1.
Texto completoBalakrishnan, Mathiarasi y Geetha T. V. "A neural network framework for predicting dynamic variations in heterogeneous social networks". PLOS ONE 15, n.º 4 (27 de abril de 2020): e0231842. http://dx.doi.org/10.1371/journal.pone.0231842.
Texto completoZhang, Quan, Hongyu Li, Xueting Lu y Chunliu Wu. "A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information". Scientific Programming 2022 (5 de agosto de 2022): 1–13. http://dx.doi.org/10.1155/2022/9033237.
Texto completoLavrenkov, Yuriy N. "Heterogeneous convolutional neural networks to build movement routes of the objects in spatial environment with accumulated energy potential". Journal Of Applied Informatics 16, n.º 93 (29 de junio de 2021): 21–37. http://dx.doi.org/10.37791/2687-0649-2021-16-3-21-37.
Texto completoDong, Xinrui, Yijia Zhang, Kuo Pang, Fei Chen y Mingyu Lu. "Heterogeneous graph neural networks with denoising for graph embeddings". Knowledge-Based Systems 238 (febrero de 2022): 107899. http://dx.doi.org/10.1016/j.knosys.2021.107899.
Texto completoDarshan, Ran y Alexander Rivkind. "Learning to represent continuous variables in heterogeneous neural networks". Cell Reports 39, n.º 1 (abril de 2022): 110612. http://dx.doi.org/10.1016/j.celrep.2022.110612.
Texto completoHeller, Guillaume, Eric Perrin, Valeriu Vrabie, Cedric Dusart y Solen Le Roux. "Grafting Heterogeneous Neural Networks for a Hierarchical Object Classification". IEEE Access 10 (2022): 12927–40. http://dx.doi.org/10.1109/access.2022.3144579.
Texto completoDeng, Zhongying, Xiaojiang Peng, Zhifeng Li y Yu Qiao. "Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition". IEEE Transactions on Image Processing 28, n.º 6 (junio de 2019): 3102–14. http://dx.doi.org/10.1109/tip.2019.2894272.
Texto completoRiggan, Benjamin S., Christopher Reale y Nasser M. Nasrabadi. "Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition". IEEE Access 3 (2015): 1620–32. http://dx.doi.org/10.1109/access.2015.2479620.
Texto completoCho, Hyunjoong, Jinhyeok Jang, Chanhyeok Lee y Seungjoon Yang. "Efficient architecture for deep neural networks with heterogeneous sensitivity". Neural Networks 134 (febrero de 2021): 95–106. http://dx.doi.org/10.1016/j.neunet.2020.10.017.
Texto completoLi, Tao, Ting Wang, Guobao Zhang y Shumin Fei. "Master–slave synchronization of heterogeneous dimensional delayed neural networks". Neurocomputing 205 (septiembre de 2016): 498–506. http://dx.doi.org/10.1016/j.neucom.2016.04.051.
Texto completoChristou, Vasileios, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas y Gavin Brown. "Hybrid extreme learning machine approach for heterogeneous neural networks". Neurocomputing 361 (octubre de 2019): 137–50. http://dx.doi.org/10.1016/j.neucom.2019.04.092.
Texto completoKnudstrup, Scott, Michal Zochowski y Victoria Booth. "Synaptic loss and synaptic plasticity in heterogeneous neural networks". Journal of Complex Networks 4, n.º 1 (23 de abril de 2015): 115–26. http://dx.doi.org/10.1093/comnet/cnv011.
Texto completoYi-zhen, ZHENG, DAI Jian, ZHANG Tian y XU Kun. "Multimodal feature fusion based on heterogeneous optical neural networks". Chinese Optics 16 (2023): 1–14. http://dx.doi.org/10.37188/co.2023-0036.
Texto completoAhn, Seong-Jin y Myoung-Ho Kim. "Link Prediction in Heterogeneous Information Networks Using Higher-Order Graph Neural Networks". KIISE Transactions on Computing Practices 28, n.º 8 (31 de agosto de 2022): 421–26. http://dx.doi.org/10.5626/ktcp.2022.28.8.421.
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