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Marco Scutari

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.AI1
ORCID 0000-0002-2151-7266

identity via Semantic Scholar / OpenAlex

most citedRisk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023★ 2 cited

Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach

Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas +4

Assessing the pre-operative risk of lymph node metastases in endometrial cancer patients is a complex and challenging task. In principle, machine learning and deep learning models…

stat.ML2023

fairml: A Statistician's Take on Fair Machine Learning Modelling

Marco Scutari

The adoption of machine learning in applications where it is crucial to ensure fairness and accountability has led to a large number of model proposals in the literature, largely f…

stat.ML2010

Introduction to Graphical Modelling

Marco Scutari, Korbinian Strimmer

The aim of this chapter is twofold. In the first part we will provide a brief overview of the mathematical and statistical foundations of graphical models, along with their fundame…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.