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

Maximilien Kintz

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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 Fabio Calefato L. Quaranta F. Lanubile Marcos Kalinowski 92 7 0 20 Jul 2023
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 Jeffrey M. Ede 107 3 0 04 Jan 2021
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 Matthias Blohm Marc Hanussek Maximilien Kintz 74 21 0 07 Dec 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 110 13 0 06 Apr 2020