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 1151–1200 of 1706 papers

TitleStatusHype
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data—0
Reuse and Adaptation for Entity Resolution through Transfer Learning—0
Inter-Patient ECG Classification with Convolutional and Recurrent Neural Networks—0
An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content—0
Lexical Bias In Essay Level Prediction—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
An investigation of a deep learning based malware detection system—0
Identifying Real Estate Opportunities using Machine Learning—0
Measuring Systematic Risk with Neural Network Factor Model—0
IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks—0
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data—0
Machine learning for predicting thermal power consumption of the Mars Express SpacecraftCode0
Neural Ranking Models for Temporal Dependency Structure ParsingCode0
Weakly-Supervised Neural Text ClassificationCode0
Revisiting Character-Based Neural Machine Translation with Capacity and Compression—0
Attention-based Neural Text SegmentationCode0
Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature AugmentationCode0
Disfluency Detection using Auto-Correlational Neural NetworksCode0
A strong baseline for question relevancy ranking—0
Learning behavioral context recognition with multi-stream temporal convolutional networks—0
Multi-Level Network Embedding with Boosted Low-Rank Matrix ApproximationCode0
Ensemble Learning Applied to Classify GPS Trajectories of Birds into Male or FemaleCode0
MUFold-BetaTurn: A Deep Dense Inception Network for Protein Beta-Turn Prediction—0
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction—0
Learning to Focus when Ranking Answers—0
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection—0
Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry—0
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models—0
Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling—0
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling—0
Rule-based vs. Neural Net Approaches to Semantic Textual Similarity—0
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory—0
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task—0
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding—0
Fast and Accurate Reordering with ITG Transition RNN—0
Seq2seq Dependency ParsingCode0
deepQuest: A Framework for Neural-based Quality EstimationCode0
Neural Math Word Problem Solver with Reinforcement Learning—0
Embedding WordNet Knowledge for Textual Entailment—0
Neural Network Architectures for Arabic Dialect Identification—0
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment AnalysisCode0
Stance Detection with Hierarchical Attention Network—0
Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty DetectionCode0
Active DOP: A constituency treebank annotation tool with online learningCode0
Egocentric Spatial MemoryCode0
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases—0
Transportation Modes Classification Using Feature Engineering—0
DeepLink: A Novel Link Prediction Framework based on Deep Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified