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Publication search results
found 1,555 matches
- 2024
- Mohammad Bashiri:
Latent Variable and Implicit Models for Neural System Identification. University of Tübingen, Germany, 2024 - Junyao You, Chengpu Yu:
Sparse plus low-rank identification for dynamical latent-variable graphical AR models. Autom. 159: 111405 (2024) - Melpomeni Kasapi, Kexin Xu, Timothy M. D. Ebbels, Declan P. O'Regan, James S. Ware, Joram M. Posma:
LAVASET: Latent Variable Stochastic Ensemble of Trees. An ensemble method for correlated datasets with spatial, spectral, and temporal dependencies. Bioinform. 40(3) (2024) - Ankush D. Jamthikar, Rohan Shah, Márton Tokodi, Partho P. Sengupta, Naveena Yanamala:
Dissecting the latent representation of age inside a deep neural network's predictions of diastolic dysfunction using echocardiographic variables. Biomed. Signal Process. Control. 92: 106013 (2024) - M. S. Panwar, Vikas Barnwal, Chandra Prakash Yadav:
A latent variable approach for modeling recall-based time-to-event data with Weibull distribution. Comput. Stat. 39(4): 2343-2374 (2024) - Yemao Xia, Jinye Chen, Depeng Jiang:
Variational Bayesian analysis for two-part latent variable model. Comput. Stat. 39(4): 2259-2290 (2024) - Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu:
Learning a Bayesian network with multiple latent variables for implicit relation representation. Data Min. Knowl. Discov. 38(4): 1634-1669 (2024) - Ziwen Gu, Yatao Shen, Zijian Wang, Jiayi Qiu, Wenmei Li, Chun Huang, Yaqun Jiang, Peng Li:
Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system. Eng. Appl. Artif. Intell. 133: 108180 (2024) - Kun Jiang, Wenzhang Liu, Yuanda Wang, Lu Dong, Changyin Sun:
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning. IEEE CAA J. Autom. Sinica 11(7): 1591-1604 (2024) - Yu Nie, Jianming Fu, Yilai Zhang, Chao Li:
Modeling implicit variable and latent structure for aspect-based sentiment quadruple extraction. Neurocomputing 586: 127642 (2024) - Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang:
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. J. Mach. Learn. Res. 25: 191:1-191:61 (2024) - Xinyao Fan, Harry Joe:
High-dimensional factor copula models with estimation of latent variables. J. Multivar. Anal. 201: 105263 (2024) - Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow:
Active Learning for Discrete Latent Variable Models. Neural Comput. 36(3): 437-474 (2024) - Khuong Vo, Qinhua Jenny Sun, Michael D. Nunez, Joachim Vandekerckhove, Ramesh Srinivasan:
Deep latent variable joint cognitive modeling of neural signals and human behavior. NeuroImage 291: 120559 (2024) - Luca Brusa, Fulvia Pennoni, Francesco Bartolucci:
Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms. Stat. Comput. 34(1): 62 (2024) - Laixu Shang, Qian-Zhen Zheng, Ping-Feng Xu, Na Shan, Man-Lai Tang:
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models. Stat. Comput. 34(1): 49 (2024) - Subing Huang, Xiaoyu Guo, Jodie J. Xie, Kelvin Y. S. Lau, Richard Liu, Arthur D. P. Mak, Vincent C. K. Cheung, Rosa H. M. Chan:
Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force-Tempo Variations. Sensors 24(9): 2820 (2024) - Shuanghong Huang, Chong Feng, Ge Shi, Zhengjun Li, Xuan Zhao, Xinyan Li, Xiaomei Wang:
Learning Domain Specific Sub-layer Latent Variable for Multi-Domain Adaptation Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(6): 78 (2024) - Zhiyong Hu, Chao Wang, Jianguo Wu, Dongping Du:
Gaussian Process Latent Variable Model-Based Multi-Output Modeling of Incomplete Data. IEEE Trans Autom. Sci. Eng. 21(2): 1941-1951 (2024) - Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan:
Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Trans Autom. Sci. Eng. 21(3): 4808-4816 (2024) - Qiang Liu, Chao Yang, S. Joe Qin:
Semi-Supervised Dynamic Latent Variable Regression for Prediction and Quality-Relevant Fault Monitoring. IEEE Trans. Control. Syst. Technol. 32(4): 1156-1168 (2024) - Xu Chen, Xiao He, Si-Zhao Joe Qin:
Bidirectional Dynamic Latent Variable Analysis for Closed-Loop Process Monitoring. IEEE Trans. Ind. Electron. 71(8): 9823-9833 (2024) - Yuchen He, Zhangjie Guan, Jun Wang:
Virtual Sensing Techniques for Nonstationary Processes Based on a Multirate Probabilistic Dual-Latent-Variable Supervised Slow Feature Analysis. IEEE Trans. Ind. Informatics 20(3): 4884-4893 (2024) - Di Wang, Yuhui Wang, Xiaochen Xian:
A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - Zeyu Yang, Tingting Hu, Le Yao, Lingjian Ye, Yi Qiu, Shuxin Du:
Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Xiaoying Tan, Wei Guo, Ranran Liu, Tianhong Pan:
A data-driven soft-sensing approach using probabilistic latent variable model with functional data framework. Trans. Inst. Meas. Control 46(5): 913-926 (2024) - Zhuofu Pan, Yalin Wang, Yue Cao, Weihua Gui:
VAE-Based Interpretable Latent Variable Model for Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6075-6088 (2024) - Chao Yang, Qiang Liu, Yi Liu, Yiu-Ming Cheung:
Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6061-6074 (2024) - Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI 2024: 20353-20361 - Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le:
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. AAAI 2024: 11480-11488
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