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 201–250 of 1706 papers

TitleStatusHype
deepQuest: A Framework for Neural-based Quality EstimationCode0
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural NetworksCode0
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor NetworksCode0
Dynamic Malware Analysis with Feature Engineering and Feature LearningCode0
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphsCode0
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
Deep Learning Chromatic and Clique Numbers of GraphsCode0
Encoding high-cardinality string categorical variablesCode0
DeepInf: Social Influence Prediction with Deep LearningCode0
A deep learning framework for Text-independent Writer IdentificationCode0
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart ChairCode0
Deep Learning for Answer Sentence SelectionCode0
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene ClassificationCode0
Evaluating approaches for supervised semantic labelingCode0
DeepTriangle: A Deep Learning Approach to Loss ReservingCode0
EvoAAA: An evolutionary methodology for automated autoencoder architecture searchCode0
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworksCode0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature AugmentationCode0
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionCode0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient DetectionCode0
Feature Interaction Aware Automated Data Representation TransformationCode0
Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable EnergyCode0
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment AnalysisCode0
A study of N-gram and Embedding Representations for Native Language IdentificationCode0
DeepAtom: A Framework for Protein-Ligand Binding Affinity PredictionCode0
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction PredictionCode0
A Surprising Thing: The Application of Machine Learning Ensembles and Signal Theory to Predict Earnings SurprisesCode0
Deduplication Over Heterogeneous Attribute Types (D-HAT)Code0
A domain-agnostic approach for opinion prediction on speechCode0
DDGK: Learning Graph Representations for Deep Divergence Graph KernelsCode0
Deep Affix Features Improve Neural Named Entity RecognizersCode0
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P NetworkCode0
Active DOP: A constituency treebank annotation tool with online learningCode0
A Survey on Recent Advances in Named Entity Recognition from Deep Learning modelsCode0
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in textCode0
GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media SteganalysisCode0
Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment AnalysisCode0
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait RecognitionCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence ModelCode0
ATM: A distributed, collaborative, scalable system for automated machine learningCode0
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task LearningCode0
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning ApproachCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified