deep learning

Despite the widespread use of LLMs due to their superior performance in various tasks, their high computational costs often lead …

I gave a talk on my paper on Dynamic Graph Counterfactuality accepted as oral presentation at KDD'24.

We present GRACIE (Graph Recalibration and Adaptive Counterfactual Inspection and Explanation), a novel approach for generative …

I gave a talk on my paper on Generative Graph Counterfactuality accepted as oral presentation at AAAI'24.

The lab provides a hands-on experience for users to develop and evaluate Graph Counterfactual Explanation methods using the GRETEL framework, covering challenges, building pipelines, customizing solutions, and analyzing performance in diverse datasets.

The tutorial covers generating counterfactual explanations for Graph Neural Networks, addressing theoretical foundations, challenges, definitions, methods, and benchmarking for improved interpretability.

In this short paper, we explored the challenges and solutions of considering a specific plot as (non)significative from a perceptual point-of-view.

In this presentation, I presented future directions of explainable anomaly detection in daily routine behaviours of older patients.

Online learning environments (OLEs) have seen a continuous increase over the past decade and a sudden surge in the last year, due to …