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Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep
  Learning for Data-Scarce Classification Applications

Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications

13 May 2024
Ricardo Knauer
Erik Rodner
    LMTD
ArXivPDFHTML

Papers citing "Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications"

3 / 3 papers shown
Title
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot
  Decision Tree Induction and Embedding with Large Language Models
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
Ricardo Knauer
Mario Koddenbrock
Raphael Wallsberger
Nicholas M. Brisson
Georg N. Duda
Deborah Falla
David W. Evans
Erik Rodner
33
0
0
27 Sep 2024
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in
  Healthcare with Automated Machine Learning
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
F. Imrie
B. Cebere
E. McKinney
M. Schaar
57
18
0
21 Oct 2022
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
84
576
0
13 Mar 2020
1