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05/20/2022
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization
There is a broad consensus on the importance of deep learning models in ...
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02/17/2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification
Since their inception, learning techniques under the Reservoir Computing...
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03/25/2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples
The last decade has witnessed the proliferation of Deep Learning models ...
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10/22/2019
