Статті в журналах з теми "Variational autoencoder (VAE)"
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Zemouri, Ryad. "Semi-Supervised Adversarial Variational Autoencoder." Machine Learning and Knowledge Extraction 2, no. 3 (September 6, 2020): 361–78. http://dx.doi.org/10.3390/make2030020.
Повний текст джерелаKamata, Hiromichi, Yusuke Mukuta, and Tatsuya Harada. "Fully Spiking Variational Autoencoder." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 7059–67. http://dx.doi.org/10.1609/aaai.v36i6.20665.
Повний текст джерелаChow, Yuen Ler, Shantanu Singh, Anne E. Carpenter, and Gregory P. Way. "Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic." PLOS Computational Biology 18, no. 2 (February 25, 2022): e1009888. http://dx.doi.org/10.1371/journal.pcbi.1009888.
Повний текст джерелаNugroho, Herminarto, Meredita Susanty, Ade Irawan, Muhamad Koyimatu, and Ariana Yunita. "Fully Convolutional Variational Autoencoder For Feature Extraction Of Fire Detection System." Jurnal Ilmu Komputer dan Informasi 13, no. 1 (March 14, 2020): 9. http://dx.doi.org/10.21609/jiki.v13i1.761.
Повний текст джерелаZhu, Jinlin, Muyun Jiang, and Zhong Liu. "Fault Detection and Diagnosis in Industrial Processes with Variational Autoencoder: A Comprehensive Study." Sensors 22, no. 1 (December 29, 2021): 227. http://dx.doi.org/10.3390/s22010227.
Повний текст джерелаTakahashi, Hiroshi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, and Satoshi Yagi. "Variational Autoencoder with Implicit Optimal Priors." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5066–73. http://dx.doi.org/10.1609/aaai.v33i01.33015066.
Повний текст джерелаRákos, Olivér, Szilárd Aradi, Tamás Bécsi, and Zsolt Szalay. "Compression of Vehicle Trajectories with a Variational Autoencoder." Applied Sciences 10, no. 19 (September 26, 2020): 6739. http://dx.doi.org/10.3390/app10196739.
Повний текст джерелаZacherl, Johannes, Philipp Frank, and Torsten A. Enßlin. "Probabilistic Autoencoder Using Fisher Information." Entropy 23, no. 12 (December 6, 2021): 1640. http://dx.doi.org/10.3390/e23121640.
Повний текст джерелаElbattah, Mahmoud, Colm Loughnane, Jean-Luc Guérin, Romuald Carette, Federica Cilia, and Gilles Dequen. "Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data." Journal of Imaging 7, no. 5 (May 3, 2021): 83. http://dx.doi.org/10.3390/jimaging7050083.
Повний текст джерелаCao, Shichen, Jingjing Li, Kenric P. Nelson, and Mark A. Kon. "Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder." Entropy 24, no. 3 (March 18, 2022): 423. http://dx.doi.org/10.3390/e24030423.
Повний текст джерелаChoong, Jun Jin, Xin Liu, and Tsuyoshi Murata. "Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization." Entropy 22, no. 2 (February 7, 2020): 197. http://dx.doi.org/10.3390/e22020197.
Повний текст джерелаSun, Ying, Lang Li, Yang Ding, Jiabao Bai, and Xiangning Xin. "Image Compression Algorithm Based On Variational Autoencoder." Journal of Physics: Conference Series 2066, no. 1 (November 1, 2021): 012008. http://dx.doi.org/10.1088/1742-6596/2066/1/012008.
Повний текст джерелаYang, FengLei, Fei Liu, and ShanShan Liu. "Collaborative Filtering Based on a Variational Gaussian Mixture Model." Future Internet 13, no. 2 (February 1, 2021): 37. http://dx.doi.org/10.3390/fi13020037.
Повний текст джерелаWu, Hanwei, and Markus Flierl. "Vector Quantization-Based Regularization for Autoencoders." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6380–87. http://dx.doi.org/10.1609/aaai.v34i04.6108.
Повний текст джерелаOk, Changwon, Geonseok Lee, and Kichun Lee. "Informative Language Encoding by Variational Autoencoders Using Transformer." Applied Sciences 12, no. 16 (August 9, 2022): 7968. http://dx.doi.org/10.3390/app12167968.
Повний текст джерелаSarkar, Arindam, Nikhil Mehta, and Piyush Rai. "Graph Representation Learning via Ladder Gamma Variational Autoencoders." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5604–11. http://dx.doi.org/10.1609/aaai.v34i04.6013.
Повний текст джерелаA Samah, Azurah, Siti Nurul Aqilah Ahmad, Hairudin Abdul Majid, Zuraini Ali Shah, Haslina Hashim, Nuraina Syaza Azman, Nur Sabrina Azmi, and Dewi Nasien. "Classification of Attention Deficit Hyperactivity Disorder using Variational Autoencoder." International Journal of Innovative Computing 11, no. 2 (October 31, 2021): 81–87. http://dx.doi.org/10.11113/ijic.v11n2.352.
Повний текст джерелаMujkic, Esma, Mark P. Philipsen, Thomas B. Moeslund, Martin P. Christiansen, and Ole Ravn. "Anomaly Detection for Agricultural Vehicles Using Autoencoders." Sensors 22, no. 10 (May 10, 2022): 3608. http://dx.doi.org/10.3390/s22103608.
Повний текст джерелаLuchnikov, Ilia A., Alexander Ryzhov, Pieter-Jan Stas, Sergey N. Filippov, and Henni Ouerdane. "Variational Autoencoder Reconstruction of Complex Many-Body Physics." Entropy 21, no. 11 (November 7, 2019): 1091. http://dx.doi.org/10.3390/e21111091.
Повний текст джерелаPham, Tuan-Anh, Jong-Hoon Lee, and Choong-Shik Park. "MST-VAE: Multi-Scale Temporal Variational Autoencoder for Anomaly Detection in Multivariate Time Series." Applied Sciences 12, no. 19 (October 7, 2022): 10078. http://dx.doi.org/10.3390/app121910078.
Повний текст джерелаKopf, Andreas, Vincent Fortuin, Vignesh Ram Somnath, and Manfred Claassen. "Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data." PLOS Computational Biology 17, no. 6 (June 30, 2021): e1009086. http://dx.doi.org/10.1371/journal.pcbi.1009086.
Повний текст джерелаPosch, Stefan, Clemens Gößnitzer, Andreas B. Ofner, Gerhard Pirker, and Andreas Wimmer. "Modeling Cycle-to-Cycle Variations of a Spark-Ignited Gas Engine Using Artificial Flow Fields Generated by a Variational Autoencoder." Energies 15, no. 7 (March 23, 2022): 2325. http://dx.doi.org/10.3390/en15072325.
Повний текст джерелаMa, Peirong, and Xiao Hu. "A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11733–40. http://dx.doi.org/10.1609/aaai.v34i07.6844.
Повний текст джерелаSitu, Haozhen, and Zhimin He. "Machine learning distributions of quantum ansatz with hierarchical structure." International Journal of Modern Physics B 34, no. 20 (July 15, 2020): 2050196. http://dx.doi.org/10.1142/s0217979220501969.
Повний текст джерелаSamanta, Soumitra, Steve O’Hagan, Neil Swainston, Timothy J. Roberts, and Douglas B. Kell. "VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder." Molecules 25, no. 15 (July 29, 2020): 3446. http://dx.doi.org/10.3390/molecules25153446.
Повний текст джерелаChen, Fang, Tao Zhang, and Ruilin Liu. "An Active Learning Method Based on Variational Autoencoder and DBSCAN Clustering." Computational Intelligence and Neuroscience 2021 (July 30, 2021): 1–11. http://dx.doi.org/10.1155/2021/9952596.
Повний текст джерелаValarezo, Añazco, Lopez Rivera, Hyemin Park, Nahyeon Park, and Tae-Seong Kim. "Human activities recognition with a single writs IMU via a Variational Autoencoder and android deep recurrent neural nets." Computer Science and Information Systems 17, no. 2 (2020): 581–97. http://dx.doi.org/10.2298/csis190920005v.
Повний текст джерелаDairi, Abdelkader, Fouzi Harrou, Ying Sun, and Sofiane Khadraoui. "Short-Term Forecasting of Photovoltaic Solar Power Production Using Variational Auto-Encoder Driven Deep Learning Approach." Applied Sciences 10, no. 23 (November 25, 2020): 8400. http://dx.doi.org/10.3390/app10238400.
Повний текст джерелаMahmud, Mohammad Sultan, Joshua Zhexue Huang, and Xianghua Fu. "Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification." International Journal of Computational Intelligence and Applications 19, no. 01 (March 2020): 2050002. http://dx.doi.org/10.1142/s1469026820500029.
Повний текст джерелаIatrou, Miltiadis, Christos Karydas, Xanthi Tseni, and Spiros Mourelatos. "Representation Learning with a Variational Autoencoder for Predicting Nitrogen Requirement in Rice." Remote Sensing 14, no. 23 (November 25, 2022): 5978. http://dx.doi.org/10.3390/rs14235978.
Повний текст джерелаLiang, Sen, Zhi-ze Zhou, Yu-dong Guo, Xuan Gao, Ju-yong Zhang, and Hu-jun Bao. "Facial landmark disentangled network with variational autoencoder." Applied Mathematics-A Journal of Chinese Universities 37, no. 2 (June 2022): 290–305. http://dx.doi.org/10.1007/s11766-022-4589-0.
Повний текст джерелаMin, Yongzhi, and Yaxing Li. "Self-Supervised Railway Surface Defect Detection with Defect Removal Variational Autoencoders." Energies 15, no. 10 (May 13, 2022): 3592. http://dx.doi.org/10.3390/en15103592.
Повний текст джерелаYan, Xiaoan, Yadong Xu, Daoming She, and Wan Zhang. "Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder." Entropy 24, no. 1 (December 24, 2021): 36. http://dx.doi.org/10.3390/e24010036.
Повний текст джерелаKameoka, Hirokazu, Li Li, Shota Inoue, and Shoji Makino. "Supervised Determined Source Separation with Multichannel Variational Autoencoder." Neural Computation 31, no. 9 (September 2019): 1891–914. http://dx.doi.org/10.1162/neco_a_01217.
Повний текст джерелаKostiuk, Yevhen, Mykola Lukashchuk, Alexander Gelbukh, and Grigori Sidorov. "Prior latent distribution comparison for the RNN Variational Autoencoder in low-resource language modeling." Journal of Intelligent & Fuzzy Systems 42, no. 5 (March 31, 2022): 4541–49. http://dx.doi.org/10.3233/jifs-219243.
Повний текст джерелаLee, Changro. "Data augmentation using a variational autoencoder for estimating property prices." Property Management 39, no. 3 (February 5, 2021): 408–18. http://dx.doi.org/10.1108/pm-09-2020-0057.
Повний текст джерелаYao, Dingding, Jiale Zhao, Longbiao Cheng, Junfeng Li, Xiaodong Li, Xiaochao Guo, and Yonghong Yan. "An individualization approach for head-related transfer function in arbitrary directions based on deep learning." JASA Express Letters 2, no. 6 (June 2022): 064401. http://dx.doi.org/10.1121/10.0011575.
Повний текст джерелаBalne, Sridevi, and Chiranjeevi Manike. "An Exploration: Alzheimer’s Disease Classification Based on Spectral Matching of Shape Features." Ingénierie des systèmes d information 27, no. 5 (October 31, 2022): 791–97. http://dx.doi.org/10.18280/isi.270512.
Повний текст джерелаThorne, Ben, Lloyd Knox, and Karthik Prabhu. "A generative model of galactic dust emission using variational autoencoders." Monthly Notices of the Royal Astronomical Society 504, no. 2 (April 12, 2021): 2603–13. http://dx.doi.org/10.1093/mnras/stab1011.
Повний текст джерелаDuan, Yitong, Lei Wang, Qizhong Zhang, and Jian Li. "FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 4 (June 28, 2022): 4468–76. http://dx.doi.org/10.1609/aaai.v36i4.20369.
Повний текст джерелаWei, Y., J. P. Levesque, C. J. Hansen, M. E. Mauel, and G. A. Navratil. "A dimensionality reduction algorithm for mapping tokamak operational regimes using a variational autoencoder (VAE) neural network." Nuclear Fusion 61, no. 12 (November 18, 2021): 126063. http://dx.doi.org/10.1088/1741-4326/ac3296.
Повний текст джерелаFan, Junjun, Wai Keung Wong, Jiajun Wen, Can Gao, Dongmei Mo, and Zhihui Lai. "Fabric Defect Detection Using Deep Convolution Neural Network." AATCC Journal of Research 8, no. 1_suppl (September 2021): 143–50. http://dx.doi.org/10.14504/ajr.8.s1.18.
Повний текст джерелаLi, Bo, Zhengxing Sun, and Yuqi Guo. "SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8569–76. http://dx.doi.org/10.1609/aaai.v33i01.33018569.
Повний текст джерелаSun, Ruoqi, Chen Huang, Hengliang Zhu, and Lizhuang Ma. "Mask-aware photorealistic facial attribute manipulation." Computational Visual Media 7, no. 3 (April 28, 2021): 363–74. http://dx.doi.org/10.1007/s41095-021-0219-7.
Повний текст джерелаAi, Dongmei, Yuduo Wang, Xiaoxin Li, and Hongfei Pan. "Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder." Biomolecules 10, no. 9 (August 20, 2020): 1207. http://dx.doi.org/10.3390/biom10091207.
Повний текст джерелаLee, Je-Yeol, and Sang-Il Choi . "Improvement of Learning Stability of Generative Adversarial Network Using Variational Learning." Applied Sciences 10, no. 13 (June 30, 2020): 4528. http://dx.doi.org/10.3390/app10134528.
Повний текст джерелаZhang, Li, Xing Chen, and Jun Yin. "Prediction of Potential miRNA–Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder." Cells 8, no. 9 (September 6, 2019): 1040. http://dx.doi.org/10.3390/cells8091040.
Повний текст джерелаGupta, Abhishek, Ahmed Shaharyar Khwaja, Alagan Anpalagan, Ling Guan, and Bala Venkatesh. "Policy-Gradient and Actor-Critic Based State Representation Learning for Safe Driving of Autonomous Vehicles." Sensors 20, no. 21 (October 22, 2020): 5991. http://dx.doi.org/10.3390/s20215991.
Повний текст джерелаDai, Mengxi, Dezhi Zheng, Rui Na, Shuai Wang, and Shuailei Zhang. "EEG Classification of Motor Imagery Using a Novel Deep Learning Framework." Sensors 19, no. 3 (January 29, 2019): 551. http://dx.doi.org/10.3390/s19030551.
Повний текст джерелаLin, Weiwei, Tai Ma, Zeqing Zhang, Xiaofan Li, and Xingsi Xue. "Variational Autoencoder for Zero-Shot Recognition of Bai Characters." Wireless Communications and Mobile Computing 2022 (July 4, 2022): 1–8. http://dx.doi.org/10.1155/2022/2717322.
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