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 401–450 of 1706 papers

TitleStatusHype
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations—0
ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification—0
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way—0
Clustering US Counties to Find Patterns Related to the COVID-19 Pandemic—0
CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning—0
CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter—0
A Language-Independent Neural Network for Event Detection—0
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses—0
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings—0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
Cognito: Automated Feature Engineering for Supervised Learning—0
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches—0
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT—0
Combining Lexical and Semantic-based Features for Answer Sentence Selection—0
Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures—0
Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction—0
Compactness Score: A Fast Filter Method for Unsupervised Feature Selection—0
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech—0
Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification—0
Introducing 3DCNN ResNets for ASD full-body kinematic assessment: a comparison with hand-crafted features—0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Comparing fingers and gestures for bci control using an optimized classical machine learning decoder—0
Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language—0
Artificial Neural Networks for Finger Vein Recognition: A Survey—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition—0
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors—0
A Simple and Effective Approach to the Story Cloze Test—0
Complex Word Identification: Convolutional Neural Network vs. Feature Engineering—0
Computational Models for Academic Performance Estimation—0
Computing committor functions for the study of rare events using deep learning with importance sampling—0
Computing Committor Functions for the Study of Rare Events Using Deep Learning—0
Concepts for Automated Machine Learning in Smart Grid Applications—0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
Content Selection for Real-time Sports News Construction from Commentary Texts—0
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation—0
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction—0
A Feature Engineering Approach for Literary and Colloquial Tamil Speech Classification using 1D-CNN—0
A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects—0
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks—0
Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features—0
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data—0
Credit card fraud detection using machine learning: A survey—0
Cross-Class Relevance Learning for Temporal Concept Localization—0
autoNLP: NLP Feature Recommendations for Text Analytics Applications—0
Show:102550
← PrevPage 9 of 35Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified