Results 131 to 140 of about 167,467 (260)

Artificial Intelligence in the Diagnosis and Management of Pulmonary Tuberculosis: A Review of Current Applications and Future Perspectives. [PDF]

Ther Clin Risk Manag
Ou Y, Zhang Q, Meng C, Zhou X, Na M, Yu Z, Ma W, Huang C.   +7 more
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide. [PDF]

Front Artif Intell
Sheppert AP.
europepmc   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Transformer-based embeddings and stacking classifiers for judgment outcome prediction in multilingual legal texts. [PDF]

Sci Rep
Prabhakar P, Gaddam T, Chennupalle D, Pati PB.   +3 more
europepmc   +1 more source

Bias‐Tunable Two‐Terminal Organic Photodetector for Intelligent Imaging

Advanced Science, EarlyView.
A vertically stacked two‐terminal photodetector with a symmetric donor–acceptor–donor trilayer active exhibits reconfigurable photoresponse with bias‐tunable magnitude and polarity, together with sub‐millisecond response speed and a wide tunable output window.
Sangin Hahn, Sanghoon Park, Seunghyup Yoo   +2 more
wiley   +1 more source

Methodological considerations regarding predictor selection and model overfitting in a study of emergency cerclage. [PDF]

Acta Obstet Gynecol Scand
Chen W, Xuan X.
europepmc   +1 more source

Overfitting

, 2019
Candace Moore, Andrew Murphy, Dimitrios Toumpanakis   +2 more
openaire   +1 more source

Machine Learning Accelerated Non‐Adiabatic Molecular Dynamics Elucidates Local Polarization Effects on Non‐radiative Recombination in Halide Perovskites

Advanced Science, EarlyView.
This work proposes and constructs the Hefei‐NAMD‐S framework based on machine learning stacked models to investigate the relationship between local polarization and non‐radiative recombination. The results indicate that, compared with A‐site local polarization, B‐site local polarization shows a more evident association with the non‐radiative ...
Bing Yang, Xiaoli Wei, Bo Cai, Yan Yang, Xinghai Zhu, Yi Liu, Junmin Xia, Lihui Liu, Kun Cao, Wei Shen, Pengfei Xia, Shufen Chen, Siyu Chen, Jin Zhao   +13 more
wiley   +1 more source

Nondestructive Detection of Eggshell Thickness Using Near-Infrared Spectroscopy Based on GBDT Feature Selection and an Improved CatBoost Algorithm. [PDF]

Foods
Li Z, Ji Y, Zhao C, Wang D, Zhou R.
europepmc   +1 more source