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 451–500 of 1706 papers

TitleStatusHype
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
deepQuest: A Framework for Neural-based Quality EstimationCode0
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task LearningCode0
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognitionCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
A Two Dimensional Feature Engineering Method for Relation ExtractionCode0
Towards Wide Learning: Experiments in HealthcareCode0
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization PerspectiveCode0
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual imagesCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
A study of N-gram and Embedding Representations for Native Language IdentificationCode0
Danish Stance Classification and Rumour ResolutionCode0
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning EnvironmentsCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
GLARE: Google Apps Arabic Reviews DatasetCode0
Neural Word Segmentation Learning for ChineseCode0
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring—0
Analyzing Multispectral Satellite Imagery of South American Wildfires Using Deep Learning—0
Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry—0
Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction—0
Attention-Based Convolutional Neural Network for Machine Comprehension—0
A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction—0
Machine Learning for Wireless Link Quality Estimation: A Survey—0
Deep Hashing: A Joint Approach for Image Signature Learning—0
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering—0
A multi-task learning model for malware classification with useful file access pattern from API call sequence—0
Advanced fraud detection using machine learning models: enhancing financial transaction security—0
A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting—0
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems—0
A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo—0
A System for Diacritizing Four Varieties of Arabic—0
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research—0
A Multi-task Approach to Predict Likability of Books—0
A Dual-Layer Semantic Role Labeling System—0
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features—0
ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques—0
A Survey on Semantics in Automated Data Science—0
A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set—0
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection—0
Deep Exhaustive Model for Nested Named Entity Recognition—0
Deep Feature Learning for Wireless Spectrum Data—0
Deep Attentive Sentence Ordering Network—0
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors—0
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs—0
A Survey on Extraction of Causal Relations from Natural Language Text—0
Deep Health Care Text Classification—0
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task—0
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level—0
A Brief Survey of Machine Learning Methods for Emotion Prediction using Physiological Data—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified