Results 11 to 20 of about 72,345 (262)

Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam

Open Geosciences, 2023
Normalized difference vegetation index (NDVI) is a conditioning factor that significantly affects slope stabilization, as the low vegetation coverage can create conducive conditions for landslide occurrence. In previous studies, NDVI was often calculated
Doan Viet Long, Nguyen Ba-Quang-Vinh, Pham Hung T., Nguyen Chi Cong, Nguyen Cuong Tien   +4 more
doaj   +1 more source

XGBoost Survival Embeddings

, 2021
Survival Analysis is a powerful statistical technique with a wide range of applications such as predictive maintenance, customer churn, credit risk, asset liquidity risk, and others.
Gabriel Gimenez, Vitor Estima, Guilherme Marmerola, Davi Vieira   +3 more
core   +1 more source

Machine learning-based ovarian cancer prediction with XGboost and stochastic gradient boosting models

Medicine Science, 2023
Ovarian cancer is one of the most common types of gynecological malignancies with its high mortality rate, silent and occult tumor growth, late onset of symptoms and diagnosis in advanced stages.
Onural Ozhan, Zeynep Kucukakcali, Ipek Balikci Cicek   +2 more
doaj   +1 more source

Wavelet Attention VGG19 and XGBOOST for Classification of Skin Disease

, 2023
<p><strong>Abstract:</strong> This research paper introduces a novel framework for skin disease classification, combining Wavelet Attention VGG19 and XGBoost algorithms.
Samaila Audu, Ali Ahmad Aminu
core   +1 more source

Comparison of GA-XGBoost with XGBoost and LightGBM test results.

, 2023
Comparison of GA-XGBoost with XGBoost and LightGBM test results.
Ke Peng (2220973), Yan Peng (104995), Wenguang Li (6528113)   +2 more
core   +1 more source

SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION [PDF]

Proceedings on Engineering Sciences
Breast cancer (BC) ranks the second most prevalent cancer among women globally and is the leading cause of female mortality. The conventional method for BC detection primarily relies on biopsy; this might be time-consuming and error prone.
Nageswara Rao Gali , Panduranga Vital Terlapu , Yasaswini Mandavakuriti, Sai Manoj Somu , Madhavi Varanasi , Vijay Telugu , Maheswara Rao V V R   +6 more
doaj   +1 more source

XGBoost schematic.

, 2023
XGBoost schematic.
Zhengrong Li (1928836), Zhiyu Xu (4370755), Lyuchao Liao (14341235), Fumin Zou (14341241), Xiang Yu (70326), Wenxia Jiang (3567782), Shukun Lai (14341238)   +6 more
core   +1 more source

A Semi-Supervised Abbreviation Disambiguation Method Based on ACNN and Bi-LSTM

Journal of Harbin University of Science and Technology, 2022
In order to improve disambiguation accuracy of biomedical abbreviations， a semi-supervised abbreviation disambiguation method based on asymmetric convolutional neural networks and bidirectional long short term memory networks is proposed. Abbreviation is
ZHANG Chun-xiang, PANG Shu-yang, GAO Xue-yao   +2 more
doaj   +1 more source

XGBoost-FastForest

, 2020
Minimal library code to deploy XGBoost models in C++. In science, it is very common to protoype algorithms with Python and then put them in production with fast C++ code. Transitioning models from Python to C++ should be as easy as possible to make sure
Rembser, Jonas
core   +1 more source

CLASSIFICATION OF STUDENT GRADUATION STATUS USING XGBOOST ALGORITHM

Barekeng, 2023
College is an optional final stage in formal education. At this time, universities are required to have good quality by utilizing all the resources they have. Therefore, efforts are needed to help the faculty and study program make policies and decisions.
Maria Welita Dwinanda, Neva Satyahadewi, Wirda Andani   +2 more
doaj   +1 more source