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Feature Engineering

Feature engineering is the process of taking a dataset and constructing explanatory variables — features — that can be used to train a machine learning model for a prediction problem. Often, data is spread across multiple tables and must be gathered into a single table with rows containing the observations and features in the columns.

The traditional approach to feature engineering is to build features one at a time using domain knowledge, a tedious, time-consuming, and error-prone process known as manual feature engineering. The code for manual feature engineering is problem-dependent and must be re-written for each new dataset.

Papers

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Showing 276–300 of 1706 papers

TitleStatusHype
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering—0
A Decade Survey of Content Based Image Retrieval using Deep Learning—0
A Pipeline for Post-Crisis Twitter Data Acquisition—0
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications—0
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews—0
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package—0
Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons—0
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration—0
基於字元階層之語音合成用文脈訊息擷取 (Character-Level Linguistic Features Extraction for Text-to-Speech System) [In Chinese]—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection—0
An Unsupervised Model with Attention Autoencoders for Question Retrieval—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
A Comparative Study of Neural Network Models for Sentence Classification—0
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
A Numbers Game: Numeric Encoding Options with Automunge—0
Additive Neural Networks for Statistical Machine Translation—0
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence—0
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial—0
A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering—0
A novel Network Science Algorithm for Improving Triage of Patients—0
Bidirectional LSTM for Named Entity Recognition in Twitter Messages—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified