Latest Articles for Explainable Artificial Intelligence

A new framework improves understanding of HAR models through competitive data augmentation.

VALE enhances understanding of AI image classification through dual explanations.

Combining SONAR imaging and deep learning enhances clarity in underwater classifications.

This article explains how counterfactuals enhance clarity in machine learning decisions.

Introducing IBO: a method to improve AI decision-making transparency in histopathology.

Clear AI explanations build trust and ensure responsible use in various fields.

A method to clarify how robots make choices to ensure safety.

A new method improves understanding of clustering results through counterfactual explanations.

Exploring how AI enhances understanding of fluid dynamics and turbulence modeling.

A method to reveal what deep neural networks learn and how it aligns with existing knowledge.

Shapley values enhance decision-making in DNA profiling and related fields.

Federated Learning and Explainable AI ensure safe and clear data practices.

A unified framework for improving machine learning model explainability.

Learn how machine learning helps detect malware on Android devices.

A new method clarifies how neural networks make decisions.

Face anti-spoofing technology needs clearer explanations and user trust.