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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 776–800 of 1706 papers

TitleStatusHype
Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other way—0
Feature Selection for Short Text Classification using Wavelet Packet Transform—0
Feature Selection with Distance Correlation—0
Federated Automated Feature Engineering—0
Feedforward Neural Network for Time Series Anomaly Detection—0
FenceNet: Fine-grained Footwork Recognition in Fencing—0
FeRG-LLM : Feature Engineering by Reason Generation Large Language Models—0
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language—0
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques—0
Few-shot incremental learning in the context of solar cell quality inspection—0
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection—0
Field-aware Neural Factorization Machine for Click-Through Rate Prediction—0
Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization—0
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation—0
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures—0
FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection—0
Flexible Operator Embeddings via Deep Learning—0
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework—0
Focal Depth Estimation: A Calibration-Free, Subject- and Daytime Invariant Approach—0
Forecasting the 2017-2018 Yemen Cholera Outbreak with Machine Learning—0
Forensic Data Analytics for Anomaly Detection in Evolving Networks—0
Automated data processing and feature engineering for deep learning and big data applications: a survey—0
An Efficient Architecture for Predicting the Case of Characters using Sequence Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified