Latest Articles for Machine Learning

New model uses MRI data to improve predictions of stroke recovery outcomes.

This article presents a novel approach to enhance AI's continual learning capabilities.

New models aim to improve cancer immunotherapy for diverse populations.

A study on source conditions in regularization for better problem-solving.

A new approach enhances consistency in answers from visual question answering systems.

Improving traffic sign recognition to ensure safer self-driving cars.

A look at self-supervised learning methods and their impact.

Learn about techniques to stabilize training in deep learning models.

New method improves machine learning models using approximately-paired simulated images.

A new method for robots to predict object interactions and actions.

ShabbyPages offers over 6,200 diverse document images for improved processing.

Using machine learning to enhance airflow understanding in environmental science.

A study on enhancing CNER techniques in the Bangla language using BanglaBERT.

An overview of diffusion models and their role in creating high-quality images.

Utilizing AI to recommend actions based on historical business data.

Exploring the role of computational methods in nanobody development.

A new approach enhances audio classification with less labeled data.

Examining how models adapt to different code sources.

LIFA framework enhances sentiment classification for Vietnamese through multiple pre-trained models.

This article discusses how homogeneous ensembles improve fairness in machine learning models.

A new dataset enhances the event detection process for better analysis.

SSL-Cleanse addresses Trojan attacks in self-supervised learning models.

Research highlights the role of weight structure in deep learning model performance.

Exploring methods to enhance machine learning efficiency in healthcare settings.

Introducing DnX and FastDnX for better understanding GNN predictions.

A method for quickly measuring uncertainty in deep learning models.

This article discusses how partial recommendations affect outcomes in machine learning systems.

This article presents a new method for interpreting neural network outputs through inversion.

A fresh approach reveals new stellar streams in the Milky Way.

New dataset tackles real-world challenges in active speaker detection technology.

Research focuses on identifying adversarial patches to enhance system safety.

A look at how conformal prediction enhances prediction accuracy in survey research.

Research reveals super-resolution can enhance gaze tracking accuracy significantly.

Exploring AdaSAM's impact on machine learning model training efficiency and performance.

New tools enhance the accuracy of answering questions using table data.

A new method improves predictions by utilizing unlabeled graph data effectively.

A new method enhances video segmentation through self-supervised learning without manual labeling.

Research reveals a method to improve adversarial examples' effectiveness in fooling machine learning models.

This article explores using active learning for improved tissue segmentation in bladder cancer diagnostics.

NeuroDM combines brain science and data mining for better insights and outcomes.