Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context

Early MPN detection in laboratory setting

Innovaiting Responsibly: Discovering the Opportunities and Risks of Foundation Models

Prediction of the clinical outcome of NMIBC using Artificial Intelligence

Self-supervised Learning for Tumor Microenvironment Analysis: Addressing Label Scarcity in Multiplexed Immunofluorescence Imaging with Novel Feature Extraction Techniques

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

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

Optimising High-Rise Buildings for Self-Sufficiency in Energy Consumption and Food Production Using Artificial Intelligence: Case of Europoint Complex in Rotterdam

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

Organizational Readiness for Machine Learning: Exploring the key readiness factors for business adoption of machine learning

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

On domain-adaptive machine learning