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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 726–750 of 1706 papers

TitleStatusHype
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data—0
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models—0
Explainable Automatic Grading with Neural Additive Models—0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Fake News Early Detection: An Interdisciplinary Study—0
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text using Feature Engineering—0
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration—0
Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface—0
Fast and Accurate Decision Trees for Natural Language Processing Tasks—0
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks—0
Fast and Accurate Performance Analysis of LTE Radio Access Networks—0
Fast and Accurate Reordering with ITG Transition RNN—0
Fast Learning and Prediction for Object Detection using Whitened CNN Features—0
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench—0
Building automated vandalism detection tools for Wikidata—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
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022—0
Feature Cross Search via Submodular Optimization—0
Feature Engineering and Classification Models for Partial Discharge in Power Transformers—0
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Event Nugget Detection with Forward-Backward Recurrent Neural Networks—0
Event Extraction with Generative Adversarial Imitation Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified