Artificial Intelligence in Medicine (Canada)

Forschungsprojekte

• Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization Large-scale hyperparameter optimization (HPO) in automated machine learning (AutoML) consumes substantial com…
• FunduScope: a human-centered, machine learning–based interactive tool for training junior ophthalmologists in diabetic retinopathy detection Interpreting fundus images is an essential skill for detecting eye diseases, such as diabetic retinopathy (DR…
• Using predictive multiplicity to measure individual performance within the AI Act When building AI systems for decision support, one often encounters the phenomenon of predictive multiplicity…
• Improving Industrial Anomaly Clustering via Heatmap-Based Multi-Scale Views 108492
• A novel method of bayesian genetic optimization on automated hyperparameter tuning This paper presents a novel approach that integrates Symbolic Genetic Programming (SGP) with Bayesian techniq…
• Higher Education Under Generative AI: Biographical Orientations of Democratic Learning and Teaching Generative artificial intelligence (AI) is reshaping higher education (HE) by reconfiguring how knowledge bec…
• Democratic Didactics in Digitalized Higher Education: The DEA Framework for Teaching and Learning Higher education (HE) has become a central site where the relations between democracy, pedagogy and technolog…
• A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines Recent advancements in artificial intelligence (AI) and the vast data generated by modern clinical systems ha…
• Deep Learning-Based Classification of Comments and Reviews for Sustainable Development Goals (SDGs) with Web Application Implementation This work aims to develop an intelligent system that leverages natural language processing (NLP) and deep lea…
• Deep Learning in Stance Detection: A Survey The analysis of an author’s perspective on a given topic within text presents a challenging problem in natura…