xAI Applications in IWANN 2025

xAI Applications in IWANN 2025: A special session on Explainable and Interpretable Machine Learning with a focus on applications.

The 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, will feature a special session on Explainable and Interpretable Machine Learning (xAI) with a focus on applications.

This session aims to gather researchers working on xAI in ML, emphasizing practical applications of this framework. The primary goal is to present innovative methods that make ML models more interpretable, transparent, and trustworthy, while preserving their performance.

Topics of interest include, but are not limited to:

• Explainable methods in medicine and healthcare
• Business and public governance applications of xAI
• Explainable biomedical knowledge discovery with ML
• xAI in agriculture, forestry and environmental applications
• xAI and human-computer interaction
• xAI methods for linguistics & machine translation
• Explainability in decision-support systems
• Best practices for presenting model explanations to non-technical stakeholders
• Auto-encoders & explainability of latent spaces
• Causal inference & explanations
• Post-hoc methods for explainability
• Reinforcement learning for enhancing xAI systems
• xAI for Deep Learning methods

Important dates:

• Deadline for submissions: 30th March 2025
• Notification of decisions: 22nd April 2025

For more information, please visit https://iwann.uma.es/ss06/.

Tags: xAI, Machine Learning, Explainable AI, IWANN 2025, Artificial Neural Networks, Applications