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 251–300 of 1706 papers

TitleStatusHype
Attention-Based Convolutional Neural Network for Semantic Relation ExtractionCode0
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphsCode0
Attention-based Neural Text SegmentationCode0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular PredictionCode0
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFCode0
Event Detection and Domain Adaptation with Convolutional Neural NetworksCode0
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning ApproachCode0
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory NetworkCode0
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News ClassificationCode0
Dominant motion identification of multi-particle system using deep learning from videoCode0
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity MeasureCode0
Disfluency Detection using Auto-Correlational Neural NetworksCode0
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural NetworksCode0
Dynamic Malware Analysis with Feature Engineering and Feature LearningCode0
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency ParsingCode0
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning EnvironmentsCode0
Descriptive Kernel Convolution Network with Improved Random Walk KernelCode0
A Novel Approach to Radiometric IdentificationCode0
Detecting Singleton Spams in Reviews via Learning Deep Anomalous Temporal Aspect-Sentiment PatternsCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Anomaly Detection in High Dimensional DataCode0
De-identification of Patient Notes with Recurrent Neural NetworksCode0
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching ModelCode0
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression LearningCode0
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information NetworksCode0
EvoAAA: An evolutionary methodology for automated autoencoder architecture searchCode0
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG SignalsCode0
Deep Learning for Answer Sentence SelectionCode0
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
Deep Learning Chromatic and Clique Numbers of GraphsCode0
deepQuest: A Framework for Neural-based Quality EstimationCode0
DeepInf: Social Influence Prediction with Deep LearningCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient DetectionCode0
A Neurochaos Learning Architecture for Genome ClassificationCode0
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait RecognitionCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
A Factored Neural Network Model for Characterizing Online Discussions in Vector SpaceCode0
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in textCode0
Deep Affix Features Improve Neural Named Entity RecognizersCode0
A Neural Approach to Automated Essay ScoringCode0
DeepAtom: A Framework for Protein-Ligand Binding Affinity PredictionCode0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the OvenCode0
Danish Stance Classification and Rumour ResolutionCode0
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI ResearchersCode0
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction PredictionCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural NetworksCode0
Show:102550
← PrevPage 6 of 35Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified