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FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection [PDF]

open access: yesBiomedical Signal Processing and Control
Deep learning models are prevalently employed for image classification, but significant opportunities remain within the domain of feature engineering. This study introduces FlexiCombFE, a novel, flexible, combinationbased feature engineering framework ...
Ilknur Tuncer   +2 more
exaly   +2 more sources

Feature Engineering.

1998
The notion of feature is widely used to denote the functional structure and visible properties of a software system. More specifically, features are meant to represent a user-centric organization of a software system's functionality. Yet, other than during requirements analysis, features are seldom treated explicitly by most existing tools and methods ...
Turner C. R.   +3 more
openaire   +2 more sources

Feature Engineering

2023
Wang He, Peng Liu, Qian Qian
openaire   +2 more sources

Feature Engineering

2020
Sorin Soviany, Cristina Soviany
openaire   +2 more sources

Feature Engineering and Selection

2017
Building Machine Learning systems and pipelines take significant effort, which is evident from the knowledge you gained in the previous chapters. In the first chapter, we presented some high-level architecture for building Machine Learning pipelines. The path from data to insights and information is not an easy and direct one.
Dipanjan Sarkar   +2 more
openaire   +1 more source

Discrete Wavelet Transform-based feature engineering for stock market prediction

International journal of information technology, 2023
S. Verma, Satyaprakash Sahu, T. P. Sahu
semanticscholar   +1 more source

Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering

ACM Transactions on Information Systems, 2022
Zhongwei Xie, Ling Liu, Yanzhao Wu
exaly  

A neuralized feature engineering method for entity relation extraction

Neural Networks, 2021
Yanping Chen   +2 more
exaly  

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