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06/21/2023
Evaluating the overall sensitivity of saliency-based explanation methods
We address the need to generate faithful explanations of "black box" Dee...
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05/03/2023
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions
In recent years, the increasing availability of personal data has raised...
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12/29/2022
A Theoretical Framework for AI Models Explainability
Explainability is a vibrant research topic in the artificial intelligenc...
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11/15/2022
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy
The opacity of deep learning models constrains their debugging and impro...
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06/15/2021
Cascading Convolutional Temporal Colour Constancy
Computational Colour Constancy (CCC) consists of estimating the colour o...
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06/14/2021
A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs
While there is evidence that user-adaptive support can greatly enhance t...
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03/13/2020
A Neural Architecture for Detecting Confusion in Eye-tracking Data
Encouraged by the success of deep learning in a variety of domains, we i...
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12/10/2019
Toward XAI for Intelligent Tutoring Systems: A Case Study
Our research is a step toward understanding when explanations of AI-driv...
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09/03/2019
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations
In this paper we investigate the value of gaze-driven adaptive intervent...
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06/19/2019
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks
Encouraged by the success of deep learning in a variety of domains, we i...
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06/30/2018