6 citations · 12 across the 3 of their papers we have counts for
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stat.ML2024★ 6 cited
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
Manuel Schürch, Laura Boos, Viola Heinzelmann-Schwarz +4
AI-driven precision oncology has the transformative potential to reshape cancer treatment by leveraging the power of AI models to analyze the interaction between complex patient ch…
stat.ML2019★ 4 cited
Recursive Estimation for Sparse Gaussian Process Regression
Manuel Schürch, Dario Azzimonti, Alessio Benavoli +1
Gaussian Processes (GPs) are powerful kernelized methods for non-parameteric regression used in many applications. However, their use is limited to a few thousand of training sampl…