Frailty assessment in patients with advanced/metastatic renal cell carcinoma using routine data collected during treatment with tyrosine kinase inhibitors in the STAR trial. ML analysis results: ...
ABSTRACT: This study presents a calibration of crash prediction models from the Highway Safety Manual (HSM) using localized data for rural intersections in the state of Delaware. The research ...
Abstract: In this study, we create a geolocalization model that estimates the sacred place where an anime is set from a single frame of the anime. In recent years, as anime has become more popular ...
ABSTRACT: In recent years, there has been a revolution in the way that we transmit information through optical communication systems, allowing for fast and high-capacity data transmission using ...
Abstract: The presented study looks into the different types of kale used in India by using Convolutional Neural Networks (CNN) and Logistic Regression. collected around 12.,000 high-quality pictures ...
Large Language Models (LLMs) have revolutionized problem-solving in machine learning, shifting the paradigm from traditional end-to-end training to utilizing pretrained models with carefully crafted ...
Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability Systemic therapy with atezolizumab and bevacizumab ...
I am having trouble getting an XGBRegressor run on my GPU when it works fine with XGBClassifier. Here is the code and the error: import xgboost as xgb from sklearn.model_selection import GridSearchCV, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback