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 876–900 of 1706 papers

TitleStatusHype
On the Replicability and Reproducibility of Deep Learning in Software Engineering—0
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced LossCode0
Graph Convolutional Neural Networks for analysis of EEG signals, BCI applicationCode0
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks—0
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System—0
Semantic Loss Application to Entity Relation Recognition—0
Attention-Based Deep Learning Framework for Human Activity Recognition with User AdaptationCode1
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature—0
A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification—0
General-Purpose User Embeddings based on Mobile App UsageCode1
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities—0
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
A Survey of Information Cascade Analysis: Models, Predictions, and Recent AdvancesCode1
Unlocking New York City Crime Insights using Relational Database Embeddings—0
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation—0
Leveraging Affective Bidirectional Transformers for Offensive Language Detection—0
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms—0
HYDRA: A multimodal deep learning framework for malware classificationCode1
A Deep Learning Approach for Automatic Detection of Fake NewsCode0
Article citation study: Context enhanced citation sentiment detection—0
Scoring Root Necrosis in Cassava Using Semantic Segmentation—0
A neural network model for solvency calculations in life insurance—0
Detecting Troll Tweets in a Bilingual Corpus—0
Effort Estimation in Named Entity Tagging Tasks—0
Affect inTweets: A Transfer Learning Approach—0
Show:102550
← PrevPage 36 of 69Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified