Articles

A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations

in Computational Genomics

• Yulin Zhang
• Tong Feng
• Shudong Wang
• Ruyi Dong
• Jialiang Yang
• Jionglong Su
• Bo Wang

Improved Genetic Algorithm and XGBoost Classifier for Power Transformer Fault Diagnosis

in Smart Grids

• Zhanhong Wu
• Mingbiao Zhou
• Zhenheng Lin
• Xuejun Chen
• Yonghua Huang

XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier

in Machine Learning and Artificial Intelligence

• Sahand Somi
• Sheikh Jubair
• David Cooper
• Peng Wang

XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma

in Gastrointestinal Cancers

• Jing Li
• Zhang Shi
• Fang Liu
• Xu Fang
• Kai Cao
• Yinghao Meng
• Hao Zhang
• Jieyu Yu
• Xiaochen Feng
• Qi Li

CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma

in Gastrointestinal Cancers

• Yinghao Meng
• Hao Zhang
• Qi Li
• Fang Liu
• Xu Fang
• Jing Li
• Jieyu Yu
• Xiaochen Feng
• Mengmeng Zhu
• Na Li

A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease

in Neurogenomics

• Long Pang
• Junjie Wang
• Lingling Zhao
• Chunyu Wang
• Hui Zhan

Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Breast Cancer Survivors

in Computational Genomics

• Chi-Chang Chang
• Ssu-Han Chen

SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering

• Xian Zhu
• Yuanyuan Chen
• Yueming Gu
• Zhifeng Xiao

Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning

in Addictive Behaviors

• Haiyan Kong
• Xinyu Wang
• Hualong Fang
• Xuming Shangguan

Paclitaxel Response Can Be Predicted With Interpretable Multi-Variate Classifiers Exploiting DNA-Methylation and miRNA Data

in Computational Genomics

• Alexandra Bomane
• Anthony Gonçalves
• Pedro J. Ballester

Parkinson's disease resting tremor severity classification using machine learning with resampling techniques

in Neurodegeneration

• Asma Channa
• Oana Cramariuc
• Madeha Memon
• Nirvana Popescu
• Nadia Mammone
• Giuseppe Ruggeri

Predicting Pseudogene–miRNA Associations Based on Feature Fusion and Graph Auto-Encoder

in RNA

• Shijia Zhou
• Weicheng Sun
• Ping Zhang
• Li Li

AI-IoT-graph synergy for smart waste management: a scalable framework for predictive, resilient, and sustainable urban systems

in Waste Management

• R. Anitha
• A. Parthiban

A novel method for detecting brown planthopper (Nilaparvata lugens Stål) early infestation using dual-temporal hyperspectral images

in Sustainable and Intelligent Phytoprotection

• Xuying Huang
• Shun Jiang
• Shanshan Feng
• Lei Zhang
• Yangying Gan
• Lianlian Hou
• Chengrui Mao
• Ruiqing Chen
• Hanxiang Xiao
• Yanfang Li

An explainable deep learning-based feature fusion model for acute lymphoblastic leukemia diagnosis and severity assessment

in Pathology

• Hajra Khan
• Muhammad Zaheer Sajid
• Nauman Ali Khan
• Muhammad Fareed Hamid
• Ayman Youssef
• Areesha Rehman
• Nour Aburaed

LM-DTI: a tool of predicting drug-target interactions using the node2vec and network path score methods

in Computational Genomics

• Jianwei Li
• Yinfei Wang
• Zhiguang Li
• Hongxin Lin
• Baoqin Wu