Results 61 to 70 of about 13,707,469 (301)
A Random Forest Regression-based Personalized Recommendation Method
EasyChair Preprints, 2018 Recently, recommendation methods have achieved remarkable success are based on the similarity between users or objects. However, high similarity between users does not represent they have similar preference in reality. What really reflects user preferences is the user's subjective rating on the item. In this paper, we propose a method to predict users'
Yingxue Ma, Mingxin Gan
openaire +3 more sources
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Research on stock trend prediction method based on optimized random forest
CAAI Transactions on Intelligence Technology, 2023 As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis.
Lili Yin +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar +11 more
wiley +1 more source
zcwooo/Data-of-Improved-random-forest-based-on-AFSA: Data of Improved random forest based on AFSA
, 2019 <p>This repository contains all the algorithm and data used in our paper "A parametric optimization oriented, AFSA based random forest algorithm: application to detection of cervical epithelial cells"</p ...
zcwooo
core +1 more source
Speech Watermarking Method Using McAdams Coefficient Based on Random Forest Learning
Entropy, 2021 Speech watermarking has become a promising solution for protecting the security of speech communication systems. We propose a speech watermarking method that uses the McAdams coefficient, which is commonly used for frequency harmonics adjustment.
Candy Olivia Mawalim, Masashi Unoki
doaj +1 more source
Aging and Cancer, EarlyView.Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
wiley +1 more source
Modified balanced random forest for improving imbalanced data prediction
IJAIN (International Journal of Advances in Intelligent Informatics), 2019 This paper proposes a Modified Balanced Random Forest (MBRF) algorithm as a classification technique to address imbalanced data. The MBRF process changes the process in a Balanced Random Forest by applying an under-sampling strategy based on clustering ...
Zahra Putri Agusta, Adiwijaya Adiwijaya
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
IEEE AccessFacial emotion recognition (FER) has been applied to various sectors, including e-learning, marketing, humanoid robot design, HMI/HCI applications, and medicine.
Hanif Heidari +3 more
doaj +1 more source