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 501–550 of 1706 papers

TitleStatusHype
Making forecasting self-learning and adaptive -- Pilot forecasting rack—0
Explainable Representation Learning of Small Quantum StatesCode0
Unified Embedding Based Personalized Retrieval in Etsy Search—0
Towards Resilient and Secure Smart Grids against PMU Adversarial Attacks: A Deep Learning-Based Robust Data Engineering ApproachCode0
A Hybrid Approach for Smart Alert Generation—0
Fair multilingual vandalism detection system for WikipediaCode0
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks—0
Introduction to Medical Imaging Informatics—0
Managed Geo-Distributed Feature Store: Architecture and System Design—0
DUBLIN -- Document Understanding By Language-Image Network—0
Systematic Literature Review on Application of Machine Learning in Continuous Integration—0
Chemellia: An Ecosystem for Atomistic Scientific Machine Learning—0
Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery—0
Dynamic Graph Representation Learning for Depression Screening with Transformer—0
Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text—0
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition—0
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?—0
HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets—0
MD-Manifold: A Medical-Distance-Based Representation Learning Approach for Medical Concept and Patient Representation—0
Catch: Collaborative Feature Set Search for Automated Feature EngineeringCode0
Scalable, Distributed AI Frameworks: Leveraging Cloud Computing for Enhanced Deep Learning Performance and Efficiency—0
Schooling to Exploit Foolish Contracts—0
Smart Learning to Find Dumb Contracts (Extended Version)—0
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems—0
Practical Lessons on Optimizing Sponsored Products in eCommerce—0
Classification of integers based on residue classes via modern deep learning algorithmsCode0
AMC-Net: An Effective Network for Automatic Modulation Classification—0
Modelling customer churn for the retail industry in a deep learning based sequential framework—0
Improving extreme weather events detection with light-weight neural networks—0
A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting—0
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions—0
Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization—0
Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes—0
Clustering US Counties to Find Patterns Related to the COVID-19 Pandemic—0
A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects—0
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters—0
Deep Learning for Iris Recognition: A Review—0
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids—0
Deep incremental learning models for financial temporal tabular datasets with distribution shifts—0
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering—0
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code—0
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase—0
IoT Device Identification Based on Network Communication Analysis Using Deep Learning—0
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches—0
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product ReviewsCode0
Streamlining models with explanations in the learning loopCode0
Self-Supervised Learning for Modeling Gamma-ray Variability in Blazars—0
Text2shape Deep Retrieval Model: Generating Initial Cases for Mechanical Part Redesign under the Context of Case-Based Reasoning—0
Scientific Computing with Diffractive Optical Neural Networks—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified