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Can AutoML outperform humans? An evaluation on popular OpenML datasets
  using AutoML Benchmark
v1v2 (latest)

Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark

3 September 2020
Marc Hanussek
Matthias Blohm
Maximilien Kintz
ArXiv (abs)PDFHTML

Papers citing "Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark"

7 / 7 papers shown
Title
Assessing the Use of AutoML for Data-Driven Software Engineering
Assessing the Use of AutoML for Data-Driven Software Engineering
Fabio Calefato
L. Quaranta
F. Lanubile
Marcos Kalinowski
92
7
0
20 Jul 2023
Benchmarking AutoML Frameworks for Disease Prediction Using Medical
  Claims
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims
R. Romero
Mariefel Nicole Y. Deypalan
Suchit Mehrotra
John Titus Jungao
N. Sheils
E. Manduchi
Jason W. Moore
OOD
35
20
0
22 Jul 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
107
3
0
04 Jan 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine
  Learning
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
92
17
0
23 Dec 2020
Leveraging Automated Machine Learning for Text Classification:
  Evaluation of AutoML Tools and Comparison with Human Performance
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
Matthias Blohm
Marc Hanussek
Maximilien Kintz
78
21
0
07 Dec 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
197
80
0
17 Sep 2020
Adaptive Partial Scanning Transmission Electron Microscopy with
  Reinforcement Learning
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Jeffrey M. Ede
110
13
0
06 Apr 2020
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