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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 1226–1250 of 1706 papers

TitleStatusHype
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks—0
What can we learn from quantum convolutional neural networks?—0
What makes a good BIM design: quantitative linking between design behavior and quality—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
When Did that Happen? --- Linking Events and Relations to Timestamps—0
WHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models—0
Word and Document Embeddings based on Neural Network Approaches—0
Word-Based Dialog State Tracking with Recurrent Neural Networks—0
Word embeddings and discourse information for Quality Estimation—0
Word Embedding Techniques for Classification of Star Ratings—0
Word Embedding Techniques for Malware Evolution Detection—0
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks—0
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review—0
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection—0
Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition—0
LSTM Shift-Reduce CCG Parsing—0
Deep learning approach to control of prosthetic hands with electromyography signals—0
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation—0
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review—0
Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data—0
A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified