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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 251–300 of 1706 papers

TitleStatusHype
F-RBA: A Federated Learning-based Framework for Risk-based Authentication—0
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature—0
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer—0
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
Modeling Story Expectations to Understand Engagement: A Generative Framework Using LLMs—0
Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction—0
Image-Based Malware Classification Using QR and Aztec Codes—0
Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems—0
RUL forecasting for wind turbine predictive maintenance based on deep learning—0
Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection—0
PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information—0
Federated Automated Feature Engineering—0
Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective—0
Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification—0
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows—0
HiCat: A Semi-Supervised Approach for Cell Type Annotation—0
An AutoML-based approach for Network Intrusion Detection—0
Enhancing Molecular Design through Graph-based Topological Reinforcement Learning—0
Understanding LLM Embeddings for Regression—0
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
What makes a good BIM design: quantitative linking between design behavior and quality—0
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees—0
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A SurveyCode0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation—0
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level—0
Correlation of Object Detection Performance with Visual Saliency and Depth EstimationCode0
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models—0
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems—0
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers—0
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers—0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering—0
Large Language Models Engineer Too Many Simple Features For Tabular DataCode0
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model—0
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI ResearchersCode0
Molecular Topological Profile (MOLTOP) - Simple and Strong Baseline for Molecular Graph ClassificationCode0
Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference FeatureCode0
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular PredictionCode0
Statistical Test for Auto Feature Engineering by Selective InferenceCode0
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin—0
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model—0
Principal Orthogonal Latent Components Analysis (POLCA Net)Code0
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing—0
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation—0
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks—0
Semantic-Guided RL for Interpretable Feature Engineering—0
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach—0
Automatic deductive coding in discourse analysis: an application of large language models in learning analyticsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified