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E. Hullermeier

3 papers here

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

author position
  • first author1
  • last author2

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

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

most citedA Flexible Class of Dependence-aware Multi-Label Loss Functions

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

collaborators

3 papers

cs.LG2020

Towards Meta-Algorithm Selection

Alexander Tornede, Marcel Wever, Eyke Hüllermeier

Instance-specific algorithm selection (AS) deals with the automatic selection of an algorithm from a fixed set of candidates most suitable for a specific instance of an algorithmic…

cs.LG2020★ 2 cited

A Flexible Class of Dependence-aware Multi-Label Loss Functions

Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencia +2

Multi-label classification is the task of assigning a subset of labels to a given query instance. For evaluating such predictions, the set of predicted labels needs to be compared…

cs.LG2020

Machine Learning with the Sugeno Integral: The Case of Binary Classification

Sadegh Abbaszadeh, Eyke Hüllermeier

In this paper, we elaborate on the use of the Sugeno integral in the context of machine learning. More specifically, we propose a method for binary classification, in which the Sug…

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