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researcher

J. Vanschoren

57 papers hereh-index 406.5k citations170 works total

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

author position
  • first author2
  • middle author25
  • last author28

Across the 55 of 57 papers where every author was matched, so the position is known.

fields
  • cs.LG33
  • cs.CV9
  • cs.AI4
  • stat.ML4
  • cs.NE2
  • cs.RO2

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedOpenML: networked science in machine learning

1.1k citations · 2k across the 52 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 7 cited

Aerial Imagery Pixel-level Segmentation

Michael R. Heffels, Joaquin Vanschoren

Aerial imagery can be used for important work on a global scale. Nevertheless, the analysis of this data using neural network architectures lags behind the current state-of-the-art…

cs.LG2020★ 115 cited

Importance of Tuning Hyperparameters of Machine Learning Algorithms

Hilde J. P. Weerts, Andreas C. Mueller, Joaquin Vanschoren

The performance of many machine learning algorithms depends on their hyperparameter settings. The goal of this study is to determine whether it is important to tune a hyperparamete…

cs.LG2020★ 28 cited

GAMA: a General Automated Machine learning Assistant

Pieter Gijsbers, Joaquin Vanschoren

The General Automated Machine learning Assistant (GAMA) is a modular AutoML system developed to empower users to track and control how AutoML algorithms search for optimal machine…

cs.LG2020★ 90 cited

Adaptation Strategies for Automated Machine Learning on Evolving Data

Bilge Celik, Joaquin Vanschoren

Automated Machine Learning (AutoML) systems have been shown to efficiently build good models for new datasets. However, it is often not clear how well they can adapt when the data…

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