Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
The monitoring of daily life in nursing home residents generates diverse and heterogeneous sources of information. Artificial Intelligence (AI) is increasingly used to predict a wide range of outcomes ...
Effective designs of biodegradable polymers are highly desirable for achieving a sustainable society by decreasing environmental burden and replacing petroleum-based resources with biomass. Low-field ...
Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Research areas: Statistics, Machine learning, Bayesian nonparametric models, Fairness in machine learning and statistics, Reinforcement learning, Causal Inference, Conformal Inference. Bayesian ...
In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...
Title: Computation-information gap in high-dimensional clustering. Abstract: We investigate the existence of a fundamental computation-information gap for the problem of clustering a mixture of ...
The Department's teaching in machine learning and AI is aimed at 3rd year BSc students, MSc students, and doctoral students. It is mainly offered in our following degrees: BSc in Data Science, BSc in ...
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