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06/24/2023
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
Artificial Intelligence (AI) systems are increasingly used in high-stake...
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09/03/2021
Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review
We review epidemiological models for the propagation of the COVID-19 pan...
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07/06/2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms
Explaining firm decisions made by algorithms in customer-facing applicat...
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03/10/2020
Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data
Machine learning using behavioral and text data can result in highly acc...
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12/04/2019
Counterfactual Explanation Algorithms for Behavioral and Textual Data
We study the interpretability of predictive systems that use high-dimens...
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08/20/2018
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data
A large number of papers have introduced novel machine learning and feat...
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09/21/2017
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease
In recent years, the number of papers on Alzheimer's disease classificat...
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03/24/2012