Al-Shehari, T. and Alsowail, R.A. (2021) An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques. Entropy, 23, Article 1258.

One Hot Encoding (OHE) is currently the norm in text encoding for deep learning neural models. The main problem with OHE is that the size of the input vector, and hence the number of neurons in the ...

This paper describes two speed-up techniques for Boolean matching of LUT-based circuits. One is one-hot encoding technique for variables representing input assignments. Though it requires more ...

One hot encoding can be defined as the essential process of converting the categorical data variables to be provided to machine and deep learning algorithms which in turn improve predictions as well ...

Fortunately, with **one-hot encoding**, we can ensure that we can _still_ use these features - simply by converting them into numeric vector format in a smart way. This article illustrates how we can ...

In this article, we compare the label encoding and one-hot encoding techniques by implementing it in Python. Label Encoding Label encoding is one of the popular processes of converting labels into ...

pandas_dataframe -> The Pandas Dataframe object that contains the column you want to one-hot encode cols -> List of column names in pandas_dataframe that you want to one-hot encode check_numerical ...