Latest Articles for Healthcare Applications

Combining generative modelling and quantile regression for effective data generation.

A novel approach to clustering that enhances efficiency and maintains quality in distributed environments.

HPASP combines discrete and continuous data for better decision-making under uncertainty.

FLeNS improves federated learning by balancing learning speed and communication efficiency.

CalibRAG improves language models by aligning confidence with accuracy.

Explore how conditional generative models create tailored data for various applications.

Visual-TCAV helps explain AI's image classification by showing important features.

New method improves accuracy of creating 3D models from flat images.

Learn how CGSOs enhance graph analysis by measuring node importance.

Learn how SelfPrompt helps assess the strength of language models effectively.

A new approach improves machine learning's ability to handle noisy labels.

Introducing methods that allow models to abstain from uncertain predictions.

Discover how AI models can be fast and easy to understand.

AI benchmarks reveal performance but often misunderstand real-world use.

Explore the flexibility of labeling with label distribution learning.

Learn how transparency boosts human activity recognition systems.

Exploring methods for fair machine learning through low-rank approximation and subset selection.

APAR enhances model performance in tabular data prediction tasks.

Discover how CRoF tackles noisy labels in machine learning efficiently.

Lasers are changing the game in particle acceleration technology.

A multi-model approach improves genomic data analysis using deep learning techniques.