IEEE

Automatic Modulation Classification based on Contrastive Learning and Kemel Density Estimation

Abstract: Noise in communication systems is interference factor that constrains radio modulation classification. To address the impact of interference on automatic modulation classification (AMC), we ...
MedPage Today

AI Model Outperformed Density Assessment in Stratifying Breast Cancer Risk

An image-only artificial intelligence (AI) model recently authorized by the FDA conferred more precise risk stratification in predicting the 5-year risk of breast cancer compared with ...
Scientific Research Publishing

Morphometric and Distributional Analysis of Nuclear Features in Oral Exfoliative Cytology: Insights from Cytological Classification ()

1 Department of Pathology, Nihon University School of Dentistry at Matsudo, Chiba, Japan. 2 Department of Oral Pathology, Nihon University Graduate School Dentistry at Matsudo, Chiba, Japan. The ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
IEEE

Unbalanced Data Integration Learning Based on Kernel Density Estimation

Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...
Frontiers

Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon

Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
GitHub

This is a Python implementation of the Kernel Plot Tool that generates SNP density and closest neighbor plots from FASTA files.

--lineage=NAME Specify lineage (optional) --outputdir=DIR Output directory (default: creates folder next to input file) --density-xlim=N Density plot X-axis limit (default: 1400) --neighbor-xlim=N ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...