Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
IEEE

Machine Learning-Based Path Loss Prediction With Novel Diffraction and Morphology Features

Abstract: Several machine learning (ML) algorithms have been applied to predict path loss values, and various features have been proposed as input features in ML models. This study proposed two new ...
The Manila Times

Hanchen Su Contributes to Advancing LLM-Friendly Knowledge Representation for Customer Support Automation

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By introducing intent-based reasoning formats and synthetic ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

Tree-Structure Transformer for Skeleton-Based Human Action Recognition

Abstract: Human skeleton sequences are widely used for action recognition due to their robustness to background noise and computational efficiency. In this paper, we propose a transformer-based method ...