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 101–150 of 1706 papers

TitleStatusHype
Representation learning of writing styleCode1
Replay and Synthetic Speech Detection with Res2net ArchitectureCode1
DIFER: Differentiable Automated Feature EngineeringCode1
VEST: Automatic Feature Engineering for ForecastingCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
DiviK: Divisive intelligent K-Means for hands-free unsupervised clustering in big biological dataCode1
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated SourcesCode1
Fatigue Assessment using ECG and Actigraphy SensorsCode1
Towards Ground Truth Explainability on Tabular DataCode1
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring SystemsCode1
Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete PipelineCode1
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
General-Purpose User Embeddings based on Mobile App UsageCode1
A Survey of Information Cascade Analysis: Models, Predictions, and Recent AdvancesCode1
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
HYDRA: A multimodal deep learning framework for malware classificationCode1
DriveML: An R Package for Driverless Machine LearningCode1
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERTCode1
Supervised Learning on Relational Databases with Graph Neural NetworksCode1
Knowledge-aware Attention Network for Protein-Protein Interaction ExtractionCode1
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?Code1
AutoML: A Survey of the State-of-the-ArtCode1
Discovering Neural WiringsCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
SynC: A Unified Framework for Generating Synthetic Population with Gaussian CopulaCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object DetectionCode1
Automated Website Fingerprinting through Deep LearningCode1
Deep & Cross Network for Ad Click PredictionsCode1
Transfer Learning for Sequence Tagging with Hierarchical Recurrent NetworksCode1
DeepFM: A Factorization-Machine based Neural Network for CTR PredictionCode1
Unsupervised, Efficient and Semantic Expertise RetrievalCode1
Modelling Context with User Embeddings for Sarcasm Detection in Social MediaCode1
Wide & Deep Learning for Recommender SystemsCode1
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural NetworkCode1
Advancing Magnetic Materials Discovery -- A structure-based machine learning approach for magnetic ordering and magnetic moment prediction—0
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey—0
Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market—0
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection—0
Tabular Feature Discovery With Reasoning Type Exploration—0
A Deep Learning Approach to Identify Rock Bolts in Complex 3D Point Clouds of Underground Mines Captured Using Mobile Laser Scanners—0
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures—0
Enhancing Forecasting Accuracy in Dynamic Environments via PELT-Driven Drift Detection and Model Adaptation—0
Advanced fraud detection using machine learning models: enhancing financial transaction security—0
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring—0
Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition—0
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine LearningCode0
Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning—0
Exploring Microstructural Dynamics in Cryptocurrency Limit Order Books: Better Inputs Matter More Than Stacking Another Hidden Layer—0
Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified