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 801–850 of 1706 papers

TitleStatusHype
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review—0
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition—0
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures—0
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey—0
Machine Learning in LiDAR 3D point clouds—0
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data—0
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG—0
MONAH: Multi-Modal Narratives for Humans to analyze conversationsCode0
A Survey on Extraction of Causal Relations from Natural Language Text—0
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning ApproachCode0
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields—0
Detecting Singleton Spams in Reviews via Learning Deep Anomalous Temporal Aspect-Sentiment PatternsCode0
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning—0
String Theory: Parsed Categoric Encodings with Automunge—0
Simple deductive reasoning tests and data sets for exposing limitation of today's deep neural networks—0
Reusing Preprocessing Data as Auxiliary Supervision in Conversational Analysis—0
A Numbers Game: Numeric Encoding Options with Automunge—0
Enhancing Sindhi Word Segmentation using Subword Representation Learning and Position-aware Self-attention—0
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual imagesCode0
Shape-based Feature Engineering for Solar Flare Prediction—0
Explainable Multi-class Classification of Medical Data—0
AutonoML: Towards an Integrated Framework for Autonomous Machine LearningCode0
Unboxing Engagement in YouTube Influencer Videos: An Attention-Based Approach—0
Intelligent Vector-based Customer Segmentation in the Banking Industry—0
Machine Learning for Detecting Data Exfiltration: A Review—0
An Embedding Learning Framework for Numerical Features in CTR PredictionCode0
Semantic Annotation for Tabular Data—0
Repurposing recidivism models for forecasting police officer use of forceCode0
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review—0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks—0
A Novel Approach to Radiometric IdentificationCode0
CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social MediaCode0
Classifying Malware Using Function Representations in a Static Call Graph—0
Neural Automated Essay Scoring Incorporating Handcrafted Features—0
BertAA : BERT fine-tuning for Authorship Attribution—0
Leveraging Latent Representations of Speech for Indian Language Identification—0
A Decade Survey of Content Based Image Retrieval using Deep Learning—0
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting—0
Ollivier persistent Ricci curvature (OPRC) based molecular representation for drug designCode0
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering—0
TLab: Traffic Map Movie Forecasting Based on HR-NET—0
Morphological Disambiguation from Stemming Data—0
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT—0
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks—0
Seoul bike trip duration prediction using data mining techniquesCode0
A Survey on Churn Analysis—0
CLRGaze: Contrastive Learning of Representations for Eye Movement SignalsCode0
Deep Neural Mobile Networking—0
Online Conversation Disentanglement with Pointer Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified