SOTAVerified

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 1351–1375 of 1706 papers

TitleStatusHype
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation—0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
An Effective Neural Network Model for Graph-based Dependency Parsing—0
An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation—0
An Efficient Architecture for Predicting the Case of Characters using Sequence Models—0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing—0
An Empirical Study of Factors Affecting Language-Independent Models—0
An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content—0
An End-to-End Graph Convolutional Kernel Support Vector Machine—0
An Enhanced Ad Event-Prediction Method Based on Feature Engineering—0
An entity-driven recursive neural network model for chinese discourse coherence modeling—0
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval—0
A Neural Network Based Explainable Recommender System—0
A neural network model for solvency calculations in life insurance—0
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation—0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification—0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting—0
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM—0
An investigation of a deep learning based malware detection system—0
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection—0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task—0
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals—0
A novel Network Science Algorithm for Improving Triage of Patients—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified