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 1401–1450 of 1706 papers

TitleStatusHype
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams—0
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression LearningCode0
Spelling Correction as a Foreign Language—0
Shallow Updates for Deep Reinforcement Learning—0
Effective Representations of Clinical Notes—0
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks—0
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions—0
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency ParsingCode0
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections—0
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers—0
Joint RNN Model for Argument Component Boundary DetectionCode0
On the effectiveness of feature set augmentation using clusters of word embeddings—0
Optimizing a PoS Tagset for Norwegian Dependency Parsing—0
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction PredictionCode0
Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models—0
Fast and Accurate Neural Word Segmentation for ChineseCode0
Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction—0
An entity-driven recursive neural network model for chinese discourse coherence modeling—0
Fast Learning and Prediction for Object Detection using Whitened CNN Features—0
Interpretation of Semantic Tweet RepresentationsCode0
Syntax Aware LSTM Model for Chinese Semantic Role Labeling—0
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models—0
The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger—0
Neural Networks for Negation Cue Detection in Chinese—0
Arabic POS Tagging: Don't Abandon Feature Engineering Just Yet—0
Large-Scale Categorization of Japanese Product Titles Using Neural Attention Models—0
On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification—0
If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking—0
A Multi-task Approach to Predict Likability of Books—0
Sentiment Analysis of Citations Using Word2vecCode0
Automatic Argumentative-Zoning Using Word2vecCode0
Supervised Typing of Big Graphs using Semantic Embeddings—0
One-Shot Imitation Learning—0
Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methodsCode0
Transfer Learning for Sequence Tagging with Hierarchical Recurrent NetworksCode1
Machine learning approach for early detection of autism by combining questionnaire and home video screening—0
DeepFM: A Factorization-Machine based Neural Network for CTR PredictionCode1
Building automated vandalism detection tools for Wikidata—0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting—0
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing—0
A Morphology-aware Network for Morphological DisambiguationCode0
Multitask Learning with Deep Neural Networks for Community Question Answering—0
Graph Neural Networks and Boolean Satisfiability—0
Name Disambiguation in Anonymized Graphs using Network EmbeddingCode0
A Deep Convolutional Neural Network for Background Subtraction—0
Deep Recurrent Neural Network for Protein Function Prediction from Sequence—0
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory NetworkCode0
Match-Tensor: a Deep Relevance Model for SearchCode0
An Empirical Analysis of Feature Engineering for Predictive ModelingCode0
Show:102550
← PrevPage 29 of 35Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified