Results 161 to 170 of about 85,077 (292)

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites

Advanced Science, EarlyView.
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou   +6 more
wiley   +1 more source

PCP46 - A SIMPLE DECISION TREE TO IDENTIFY POTENTIAL APPLICATIONS OF MACHINE LEARNING AS AN ADDITION TO TRADITIONAL STATISTICAL ANALYSIS IN HEALTH ECONOMICS AND OUTCOMES RESEARCH [PDF]

, 2018
Andrew Cox, Mustafa Oğuz
openalex   +1 more source

Extraction of Missing Tendency Using Decision Tree Learning in Business Process Event Log [PDF]

, 2020
Hiroki Horita, Yuta Kurihashi, Nozomi Miyamori   +2 more
openalex   +1 more source

Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

Advanced Science, EarlyView.
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li, Lindong Ma, Zhenjie Xue, Xiao Li, Shan Zhu, Tie Wang   +5 more
wiley   +1 more source

Learning the Attribute Selection Measures for Decision Tree

, 2011
Xiaolin Chen, Jia Wu, Zhihua Cai
openalex   +1 more source

Facilitating crRNA Design by Integrating DNA Interaction Features of CRISPR‐Cas12a System

Advanced Science, EarlyView.
This study introduces a novel approach combining molecular dynamics simulations and neural network modeling to predict the Cas12a trans‐cleavage activity. By integrating sequence and molecular interaction features, prediction accuracy is enhanced, and identify key features affecting Cas12a trans‐cleavage activity.
Zhihao Yao, Wanglu Li, Kaiyu He, Hongmei Wang, Yan Xu, Qun Wu, Liu Wang, Yao Nie   +7 more
wiley   +1 more source

Proteomics‐Empowered Microfluidic‐SERS Immunoassay for Identifying and Detecting Biomarkers of Micropapillary Lung Adenocarcinoma

Advanced Science, EarlyView.
The presence of a micropapillary (MPP) component is critical for lung adenocarcinoma (LUAD) surgery, yet reliable blood biomarkers remain lacking. This study integrates proteomics for biomarker identification, a nanomixing‐enhanced surface‐enhanced Raman spectroscopy (SERS) platform for sensitive detection, and machine learning for accurate ...
Dechun Zhang, Kaiming Peng, Hui Xu, Yanping Chen, Jing Wang   +4 more
wiley   +1 more source

Learning Algorithm for Multiple Distribution Data using Haar-like Feature and Decision Tree

, 2013
Ju-Hyun Kwak, Il-Young Woen, Changhoon Lee   +2 more
openalex   +2 more sources

Gradient Nanostructures and Machine Learning Synergy for Robust Quantitative Surface‐Enhanced Raman Scattering

Advanced Science, EarlyView.
A novel SERS platform using gradient nanostructures and machine learning is presented. Gradient nanostructures minimize fabrication variability and enhance spectral diversity. The ML model significantly improves quantification precision, robustness and reproducibility, reducing test MSE by 84.8% and increasing R2 by 61.2%, enabling reliable real‐world ...
Xiaoyu Zhao, Yuxia Wang, Yuting Liu, Xinyi Chen, Mingyu Cheng, Yaxin Wang, Jiahong Wen, Renxian Gao, Kun Zhang, Fengyi Zhang, Rufei Cui, Yongjun Zhang, Zengyao Wang, Bin Ai   +13 more
wiley   +1 more source

Learning Decision Trees from Time-changing Uncertain Data Streams

, 2013
Chunquan Liang, Yang Zhang, Shaojun Hu
openalex   +1 more source