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 451–500 of 1706 papers

TitleStatusHype
A novel Network Science Algorithm for Improving Triage of Patients—0
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution—0
Lightweight Boosting Models for User Response Prediction Using Adversarial ValidationCode0
Enhanced LFTSformer: A Novel Long-Term Financial Time Series Prediction Model Using Advanced Feature Engineering and the DS Encoder Informer Architecture—0
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading—0
Feature Interaction Aware Automated Data Representation TransformationCode0
Context-Based Tweet Engagement PredictionCode0
Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension—0
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction—0
Early Churn Prediction from Large Scale User-Product Interaction Time Series—0
Prediction Model For Wordle Game Results With High Robustness—0
Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization—0
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition SystemsCode0
Leveraging Contextual Information for Effective Entity Salience Detection—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
Native Language Identification with Big Bird EmbeddingsCode0
Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training—0
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction—0
Design of Recognition and Evaluation System for Table Tennis Players' Motor Skills Based on Artificial Intelligence—0
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphsCode0
AutoML-GPT: Large Language Model for AutoML—0
What can we learn from quantum convolutional neural networks?—0
Interpolation of mountain weather forecasts by machine learningCode0
SieveNet: Selecting Point-Based Features for Mesh Networks—0
TrajPy: empowering feature engineering for trajectory analysis across domainsCode0
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification—0
Forensic Data Analytics for Anomaly Detection in Evolving Networks—0
Efficient Commercial Bank Customer Credit Risk Assessment Based on LightGBM and Feature Engineering—0
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction—0
Predicting Listing Prices In Dynamic Short Term Rental Markets Using Machine Learning Models—0
Distinguishing Risk Preferences using Repeated Gambles—0
Identification of the Relevance of Comments in Codes Using Bag of Words and Transformer Based ModelsCode0
Sparse Array Design for Direction Finding using Deep Learning—0
Deep Feature Learning for Wireless Spectrum Data—0
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion—0
Multi-output Headed Ensembles for Product Item Classification—0
Adversarial training for tabular data with attack propagation—0
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces—0
Alzheimer's Disease Detection from Spontaneous Speech and Text: A review—0
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data—0
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning—0
Transaction Fraud Detection via an Adaptive Graph Neural Network—0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification—0
A Natural Language Processing Approach to Malware Classification—0
Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall ClassificationCode0
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization PerspectiveCode0
A Food Recommender System in Academic Environments Based on Machine Learning Models—0
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified