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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
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate PredictionCode1
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code MatchingCode1
Context-Aware Deep Learning for Multi Modal Depression DetectionCode1
Summaformers @ LaySumm 20, LongSumm 20Code1
Symbolic regression for scientific discovery: an application to wind speed forecastingCode1
SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated SourcesCode1
Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep LearningCode1
The Challenges of Persian User-generated Textual Content: A Machine Learning-Based ApproachCode1
Generative Pre-Training from MoleculesCode1
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsCode1
Enabling Collaborative Data Science Development with the Ballet FrameworkCode1
DriveML: An R Package for Driverless Machine LearningCode1
Deep & Cross Network for Ad Click PredictionsCode1
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
DeepFM: A Factorization-Machine based Neural Network for CTR PredictionCode1
VEST: Automatic Feature Engineering for ForecastingCode1
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object DetectionCode1
Wide & Deep Learning for Recommender SystemsCode1
DiviK: Divisive intelligent K-Means for hands-free unsupervised clustering in big biological dataCode1
DIFER: Differentiable Automated Feature EngineeringCode1
Discovering Neural WiringsCode1
Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor FactorizationCode1
DoE2Vec: Deep-learning Based Features for Exploratory Landscape AnalysisCode1
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural NetworkCode1
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge DevicesCode1
Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese MedicineCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability DetectionCode1
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental EvaluationCode1
Anomaly Detection for Solder Joints Using β-VAECode1
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect SegmentationCode1
Efficient End-to-End AutoML via Scalable Search Space DecompositionCode1
Sequence-to-Sequence Learning with Latent Neural GrammarsCode1
deepQuest: A Framework for Neural-based Quality EstimationCode0
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural NetworksCode0
Deep Learning for Answer Sentence SelectionCode0
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence ModelCode0
DeepTriangle: A Deep Learning Approach to Loss ReservingCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
Deep Interaction Machine: A Simple but Effective Model for High-order Feature InteractionsCode0
Active DOP: A constituency treebank annotation tool with online learningCode0
Deep Learning Chromatic and Clique Numbers of GraphsCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionCode0
A domain-agnostic approach for opinion prediction on speechCode0
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified