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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 1706 papers

TitleStatusHype
Linguistic Structured Sparsity in Text Categorization—0
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection—0
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search—0
LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection—0
LocalGLMnet: interpretable deep learning for tabular data—0
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization—0
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification—0
Long Short-Term Memory Neural Networks for Chinese Word Segmentation—0
Low-Dimensional Discriminative Reranking—0
Low Dimensional State Representation Learning with Reward-shaped Priors—0
Low-resource Deep Entity Resolution with Transfer and Active Learning—0
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition—0
LSTM Shift-Reduce CCG Parsing—0
MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities—0
Machine-guided Solution to Mathematical Word Problems—0
Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data—0
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review—0
Machine learning approach for early detection of autism by combining questionnaire and home video screening—0
Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS—0
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication—0
Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients—0
Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration—0
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials -- A minireview—0
Machine Learning for Detecting Data Exfiltration: A Review—0
Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safety—0
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey—0
Machine Learning Framework for Audio-Based Content Evaluation using MFCC, Chroma, Spectral Contrast, and Temporal Feature Engineering—0
Machine Learning in LiDAR 3D point clouds—0
Maintaining and Managing Road Quality:Using MLP and DNN—0
Making forecasting self-learning and adaptive -- Pilot forecasting rack—0
Managed Geo-Distributed Feature Store: Architecture and System Design—0
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images—0
Max-Margin Tensor Neural Network for Chinese Word Segmentation—0
MD-Manifold: A Medical-Distance-Based Representation Learning Approach for Medical Concept and Patient Representation—0
Measuring Systematic Risk with Neural Network Factor Model—0
Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment—0
MERGE -- A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition—0
Merging Two Cultures: Deep and Statistical Learning—0
Meta-Learning Approaches for a One-Shot Collective-Decision Aggregation: Correctly Choosing how to Choose Correctly—0
Minimal-Configuration Anomaly Detection for IIoT Sensors—0
Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering—0
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact—0
ML-powered KQI estimation for XR services. A case study on 360-Video—0
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems—0
Mnemosyne: Learning to Train Transformers with Transformers—0
Mode Effects' Challenge to Authorship Attribution—0
Model-Agnostic Interpretability of Machine Learning—0
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates—0
Modeling Skip-Grams for Event Detection with Convolutional Neural Networks—0
Modeling Story Expectations to Understand Engagement: A Generative Framework Using LLMs—0
Show:102550
← PrevPage 26 of 35Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified