Results 81 to 90 of about 50,437 (269)

Comparison between KNN, W-KNN, Wc-KNN and Wk-KNN models on a CDC heart disease dataset

Abstract One of the most popular and fundamental methods used for machine learning classification is KNN (K-nearest neighbor). Despite its simplicity, this method can achieve good data classification results even without prior knowledge of the data distribution.
openaire   +1 more source

AI‐Assisted Engineering of Glycyrrhizic Acid/Simvastatin Nanocrystals for Multifunctional Treatment of Bacterial Osteomyelitis

Advanced Science, EarlyView.
Through AI‐assisted screening from FDA‐approved API to overcome the limitations of bacterial osteomyelitis treatment, glycyrrhizic acid and simvastatin are identified as a multifunctional combination capable of self‐assembling into mechanism‐targeting nanocrystals that effectively neutralize reactive oxygen species, suppress M1 macrophage polarization,
Yu Han, Yao Zhao, Chengbo Yang, Miao Niu, Jun Dai, Quanxin Ning, Kai Xiao, Jinzheng Liang, Wensheng Zhang, Liang Wang, Dan Shao, Dongsong Li   +11 more
wiley   +1 more source

On the Inflation of KNN-Shapley Value

CoRR
Shapley value-based data valuation methods, originating from cooperative game theory, quantify the usefulness of each individual sample by considering its contribution to all possible training subsets. Despite their extensive applications, these methods encounter the challenge of value inflation - while samples with negative Shapley values are ...
Ziao Yang, Han Yue, Jian Chen 0016, Hongfu Liu 0001   +3 more
openaire   +2 more sources

KNN-guided Adversarial Attacks [PDF]

, 2020
In the last decade, we have witnessed a renaissance of Deep Learning models. Nowadays, they are widely used in industrial as well as scientific fields, and noticeably, these models reached super-human per-formances on specific tasks such as image classification.
Massoli FV, Falchi F, Amato G
openaire   +1 more source

A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance

Advanced Science, EarlyView.
Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng, Masaki Nasu, Ayman Abdul‐Ghani, Yu Chen, Shaoqiu Chen, Isam Mohd Ibrahim, Hanqiu Zhang, Lauren Higa, Zitong Gao, Hua Yang, Raphael Bueno, Loïc Le Marchand, Youping Deng   +12 more
wiley   +1 more source

Sentiment Analysis on Google Reviews Using Naïve Bayes, K-Nearest Neighbors, and Logistic Regression to Improve Novotel Services

Journal of Applied Informatics and Computing
The application of artificial intelligence (AI) has been widely used in various industrial sectors, including the hospitality industry. One of the applications that is widely used in the hospitality industry is sentiment analysis.
Yonathan Arya Dhamma, Simon Prananta Barus   +1 more
doaj   +1 more source

Integrated Single‐Cell and TCR Profiling Reveals Protection‐Associated CD8+ T Cell Subsets Linked to Viral Control in PRRSV

Advanced Science, EarlyView.
PRRSV vaccine‐mediated protection is associated with clonally expanded cytotoxic CD8+ T cell subsets driven by viral structural proteins and supported by innate TLR4/TLR8 signaling and CD4+ T cell help, whereas non‐protective responses are characterized by dysfunctional exhausted‐like CD8+ T cells linked to poor viral control.
Can Kong, Siang Chen, Maolin Li, Meng Wang, Hailin Zhang, Bolun Zhou, Zhenhua Xie, Chen Wang, Peng Gao, Jianjun Luo, Hanchun Yang, Runsheng Chen, Dongdong Zhang, Jie Li, Jun Han   +14 more
wiley   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Context-Aware Job Recommender System

JOIV: International Journal on Informatics Visualization
Context-aware recommendation systems have emerged as essential to interactive web content and online job search. Primarily, since so many job offers are published on different online platforms, it can make the users take some time to find good ...
Muhammad Haziq Fikri Bin Azri, Su-Cheng Haw, Kok-Why Ng, Mohamad Firdaus Mat Saad   +3 more
doaj   +1 more source