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A. Schwaighofer

3 papers hereh-index 226k citations55 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.GT1
  • cs.LG1
  • eess.IV1
same name
  • A. Schwaighofer — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCollaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

70 citations · 116 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2021★ 1 cited

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt +9

Chest radiography has been a recommended procedure for patient triaging and resource management in intensive care units (ICUs) throughout the COVID-19 pandemic. The machine learnin…

cs.LG2012★ 70 cited

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

Kai Yu, Anton Schwaighofer, Volker Tresp +2

Collaborative filtering (CF) and content-based filtering (CBF) have widely been used in information filtering applications. Both approaches have their strengths and weaknesses whic…

cs.GT2012★ 45 cited

Budget Optimization for Sponsored Search: Censored Learning in MDPs

Kareem Amin, Michael Kearns, Peter Key +1

We consider the budget optimization problem faced by an advertiser participating in repeated sponsored search auctions, seeking to maximize the number of clicks attained under that…

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