Article-Journal

What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks

Kacper Sokol

• Mar 1, 2024 • 1 min read

Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models

Gabriele Dominici

• Feb 1, 2024 • 1 min read

Gradient-Based Competitive Learning: Theory

giansalvo-cirrincione

• Jan 1, 2024 • 1 min read

Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians

alessandro-farace-di-villaforesta

• Dec 1, 2023 • 1 min read

From Charts to Atlas: Merging Latent Spaces into One

donato-crisostomi

• Nov 1, 2023 • 1 min read

Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts

jonas-jur%C3%9F

• Nov 1, 2023 • 1 min read

Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase

massimo-salvi

• Oct 1, 2023 • 1 min read

LAUREATE: A Dataset for Supporting Research in Affective Computing and Human Memory Augmentation

Matías Laporte

• Sep 27, 2023 • 1 min read

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse

edward-a.-small

• Sep 1, 2023 • 1 min read

Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations?

yueqing-xuan

• Sep 1, 2023 • 1 min read