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02/15/2023
Streamlining models with explanations in the learning loop
Several explainable AI methods allow a Machine Learning user to get insi...
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08/31/2022
Multiscale Non-stationary Causal Structure Learning from Time Series Data
This paper introduces a new type of causal structure, namely multiscale ...
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03/17/2022
Revealing the determinants of gender inequality in urban cycling with large-scale data
Cycling is an outdoor activity with massive health benefits, and an effe...
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02/17/2022
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers
Most methods for explaining black-box classifiers (e.g., on tabular data...
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11/09/2021
The Evolving Causal Structure of Equity Risk Factors
In recent years, multi-factor strategies have gained increasing populari...
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06/01/2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
The main objective of eXplainable Artificial Intelligence (XAI) is to pr...
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02/22/2021
Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions
The complex unfolding of the US opioid epidemic in the last 20 years has...
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11/08/2020
FairLens: Auditing Black-box Clinical Decision Support Systems
The pervasive application of algorithmic decision-making is raising conc...
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03/28/2019
