A Comparative Study of Categorical Variable Encoding Techniques for Neural Network Classifiers

By Kedar Potdar, Taher S. Pardawala, Chinmay D. Pai. 2017

529 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/2609e3c191e284a28cd7c6e9022528ac9b8f4bfc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alexandru Cristian Telea
2. Nina Sumiko Tomita Hirata
3. Mateus Espadoto

Citations in the corpus

• Survey on categorical data for neural networks (2020, unknown): “We suspect the authors used this module for the experiments in [12].”
• Deep learning multidimensional projections (2019, methodology): “However, extending our approach to handle categorical data is straightforward using, for example, one-hot encoding or similar techniques.(57)”