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Causal scientific explanations from machine learning
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables
Optimising High-Rise Buildings for Self-Sufficiency in Energy Consumption and Food Production Using Artificial Intelligence: Case of Europoint Complex in Rotterdam
Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study
Contestable AI by Design: Towards a Framework
Data-driven modelling of energy demand response behaviour based on a large-scale residential trial
Short and long-term innovations on dietary behavior assessment and coaching: Present efforts and vision of the pride and prejudice consortium
Interpretable confidence measures for decision support systems
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
On domain-adaptive machine learning
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