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A systematic literature review of weak signal identification and evolution for corporate foresight
D Zhao, Z Tang, D He - Kybernetes, 2024 - emerald.com
Purpose With the intensification of market competition, there is a growing demand for weak
signal identification and evolutionary analysis for enterprise foresight. For decades, many …
signal identification and evolutionary analysis for enterprise foresight. For decades, many …
[کتاب][B] Post-shrinkage strategies in statistical and machine learning for high dimensional data
This book presents some post-estimation and predictions strategies for the host of useful
statistical models with applications in data science. It combines statistical learning and …
statistical models with applications in data science. It combines statistical learning and …
Artificial neural network‐based ultrasound radiomics can predict large‐volume lymph node metastasis in clinical N0 papillary thyroid carcinoma patients
W Zhu, X Huang, Q Qi, Z Wu, X Min, A Zhou… - Journal of …, 2022 - Wiley Online Library
Objective. To evaluate the ability of artificial neural network‐(ANN‐) based ultrasound
radiomics to predict large‐volume lymph node metastasis (LNM) preoperatively in clinical …
radiomics to predict large‐volume lymph node metastasis (LNM) preoperatively in clinical …
Predicting late-stage age-related macular degeneration by integrating marginally weak SNPs in GWA studies
Introduction: Age-related macular degeneration (AMD) is a progressive neurodegenerative
disease and the leading cause of blindness in developed countries. Current genome-wide …
disease and the leading cause of blindness in developed countries. Current genome-wide …
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective
High-dimensional variable selection with heterogeneous signals: A precise asymptotic
perspective Page 1 Bernoulli 31(2), 2025, 1206–1229 https://doi.org/10.3150/24-BEJ1767 …
perspective Page 1 Bernoulli 31(2), 2025, 1206–1229 https://doi.org/10.3150/24-BEJ1767 …
Nomogram combining radiomics with the American college of radiology thyroid imaging reporting and data system can improve predictive performance for malignant …
X Huang, Z Wu, A Zhou, X Min, Q Qi, C Zhang… - Frontiers in …, 2021 - frontiersin.org
Purpose To develop and validate a nomogram combining radiomics of B-mode ultrasound
(BMUS) images and the American College of Radiology (ACR) Thyroid Imaging Reporting …
(BMUS) images and the American College of Radiology (ACR) Thyroid Imaging Reporting …
Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach
Conditional screening approaches have emerged as a powerful alternative to the commonly
used marginal screening, as they can identify marginally weak but conditionally important …
used marginal screening, as they can identify marginally weak but conditionally important …
A predictive method for weak signal evolution during new product development based on an improved matter-element extension model
D Zhao, Z Tang, J Wang, Z Han, F Sun… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
New product development process is complex, involving many decisions that are based on
incomplete and unrepresentative weak signal information. In this case, cognitive bias will …
incomplete and unrepresentative weak signal information. In this case, cognitive bias will …
Adaptive estimation strategies in gamma regression model
In this study, we considered parameter estimation and inference in the gamma regression
model when there exist many covariates, some of which may be treated as a nuisance. We …
model when there exist many covariates, some of which may be treated as a nuisance. We …
[HTML][HTML] The oracle property of the generalized outcome-adaptive lasso
The generalized outcome-adaptive lasso (GOAL) is a variable selection for high-
dimensional causal inference proposed by Baldé et al.(2023). When the dimension is high, it …
dimensional causal inference proposed by Baldé et al.(2023). When the dimension is high, it …