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Composite Feature Selection using Deep Ensembles

Composite Feature Selection using Deep Ensembles

1 November 2022
F. Imrie
Alexander Norcliffe
Pietro Lio'
M. Schaar
ArXivPDFHTML

Papers citing "Composite Feature Selection using Deep Ensembles"

3 / 3 papers shown
Title
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic
  Transformation of Features
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features
Jianming Lv
Sijun Xia
Depin Liang
Wei Chen
12
0
0
04 Feb 2024
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
19
5
0
15 Nov 2023
Multi-Objective Optimization of Performance and Interpretability of
  Tabular Supervised Machine Learning Models
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
Lennart Schneider
B. Bischl
Janek Thomas
26
6
0
17 Jul 2023
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