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Publication search results
found 174 matches
- 2024
- Hadi Zayyani, Mohammad Shukri Salman, Mehdi Korki, Ahmed A. F. Youssef:
Hidden Markov Model Decorrelated Diffusion Leaky LMS With Optimized Leaky Factor. IEEE Access 12: 39804-39810 (2024) - 2023
- Giorgio Picci, Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
Hidden factor estimation in Dynamic Generalized Factor Analysis models. Autom. 149: 110834 (2023) - Ziang Zhang, Lei Sun:
The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait. Bioinform. 39(4) (2023) - Jiyoun Song, Se Hee Min, Sena Chae, Kathryn H. Bowles, Margaret V. McDonald, Mollie Hobensack, Yolanda Barrón, Sridevi Sridharan, Anahita Davoudi, Sungho Oh, Lauren Evans, Maxim Topaz:
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. J. Am. Medical Informatics Assoc. 30(11): 1801-1810 (2023) - V. Sathya, G. R. Mahendra Babu, J. Ashok, Ajanthaa Lakkshmanan:
A novel predicting students performance approach to competency & hidden risk factor identifier using a various machine learning classifiers. J. Intell. Fuzzy Syst. 44(6): 9565-9579 (2023) - Nilobon Nanglae, Bello Musa Yakubu, Pattarasinee Bhattarakosol:
Extraction of Hidden Authentication Factors from Possessive Information. J. Sens. Actuator Networks 12(4): 62 (2023) - Partik Kumar, Abhijit R. Abhyankar:
A Time Efficient Factorial Hidden Markov Model-Based Approach for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 14(5): 3627-3639 (2023) - Reilly Browne, Prahlad Narasimhan Kasthurirangan, Joseph S. B. Mitchell, Valentin Polishchuk:
Constant-Factor Approximation Algorithms for Convex Cover and Hidden Set in a Simple Polygon. FOCS 2023: 1357-1365 - Aman Gupta, Megha Rathi:
Disentangling the Hidden Patterns of Heart Disease: A Factor Analysis and Machine Learning Approach for Early Detection and Prevention. IC3 2023: 386-395 - Partik Kumar, Abhijit R. Abhyankar:
A Time Efficient Factorial Hidden Markov Model Based Approach for Non-Intrusive Load Monitoring. ISGT EUROPE 2023: 1 - 2022
- Zhuoran Ding, Marylyn D. Ritchie, Benjamin F. Voight, Wei-Ting Hwang:
Estimating the effect size of a hidden causal factor between SNPs and a continuous trait: a mediation model approach. BMC Bioinform. 23(1): 420 (2022) - Elizabeth P. Chou, Ting-Li Chen, Fushing Hsieh:
Unraveling Hidden Major Factors by Breaking Heterogeneity into Homogeneous Parts within Many-System Problems. Entropy 24(2): 170 (2022) - Pratima Saravanan, Jessica Menold:
Deriving Effective Decision-Making Strategies of Prosthetists: Using Hidden Markov Modeling and Qualitative Analysis to Compare Experts and Novices. Hum. Factors 64(1): 188-206 (2022) - Lorenzo Rimella, Nick Whiteley:
Exploiting locality in high-dimensional Factorial hidden Markov models. J. Mach. Learn. Res. 23: 4:1-4:34 (2022) - Ken Moon, Prashant Loyalka, Patrick Bergemann, Joshua Cohen:
The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers. Manag. Sci. 68(5): 3755-3767 (2022) - Lei Yan, Wei Tian, Jiayu Han, Zuyi Li:
eFHMM: Event-Based Factorial Hidden Markov Model for Real-Time Load Disaggregation. IEEE Trans. Smart Grid 13(5): 3844-3847 (2022) - Yeong Tyng Ling, Nor Fazlida Mohd Sani, Mohd Taufik Abdullah, Nor Asilah Wati Abdul Hamid:
Metamorphic malware detection using structural features and nonnegative matrix factorization with hidden markov model. J. Comput. Virol. Hacking Tech. 18(3): 183-203 (2022) - William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. CVPR Workshops 2022: 122-129 - William Paul, Philippe Burlina:
Robustness and Adaptation to Hidden Factors of Variation. CoRR abs/2203.01864 (2022) - Erik Skau, Andrew Hollis, Stephan J. Eidenbenz, Kim Ø. Rasmussen, Boian S. Alexandrov:
Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. CoRR abs/2210.01060 (2022) - Giorgio Picci, Lucia Falconi, Augusto Ferrante, Mattia Zorzi:
Hidden Factor estimation in Dynamic Generalized Factor Analysis Models. CoRR abs/2211.12789 (2022) - 2021
- Jinwook Paeng, Junseok Kwon:
Visual tracking using interactive factorial hidden Markov models. IET Signal Process. 15(6): 365-374 (2021) - Kousuke Mouri, Fumiya Suzuki, Atsushi Shimada, Noriko Uosaki, Chengjiu Yin, Keiichi Kaneko, Hiroaki Ogata:
Educational data mining for discovering hidden browsing patterns using non-negative matrix factorization. Interact. Learn. Environ. 29(7): 1176-1188 (2021) - Dan Lu, Changqing Xu, Chuanmin Mi, Yijing Wang, Xiangmin Xu, Chufan Zhao:
Establishment of a Key Hidden Danger Factor System for Electric Power Personal Casualty Accidents Based on Text Mining. Inf. 12(6): 243 (2021) - Haiyan Zhang, Yonglong Luo, Qingying Yu, Xiaoyao Zheng, Xuejing Li:
Map-matching approach based on link factor and hidden Markov model. J. Intell. Fuzzy Syst. 40(3): 5455-5471 (2021) - Yifan Zhao, Shuicheng Tian:
Identification of hidden disaster causing factors in coal mine based on Naive Bayes algorithm. J. Intell. Fuzzy Syst. 41(2): 2823-2831 (2021) - Zhi Quan Zhou, T. H. Tse, Matt Witheridge:
Metamorphic Robustness Testing: Exposing Hidden Defects in Citation Statistics and Journal Impact Factors. IEEE Trans. Software Eng. 47(6): 1164-1183 (2021) - Hao Wu, Xin Luo, MengChu Zhou:
Discovering Hidden Pattern in Large-scale Dynamically Weighted Directed Network via Latent Factorization of Tensors. CASE 2021: 1533-1538 - Zhao Wu, Chao Wang, Ruiyou Li, Huaiqing Zhang:
An Extended Factorial Hidden Markov Model for Non-Intrusive Load Monitoring Based on Density Peak Clustering. ICMLC 2021: 198-203 - 2020
- Jianming Zhou, Zheng Li, Jack J. Ma, Feifeng Jiang:
Exploration of the Hidden Influential Factors on Crime Activities: A Big Data Approach. IEEE Access 8: 141033-141045 (2020)
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