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
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science—0
Cross-lingual Short-text Matching with Deep Learning—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Democratizing AI: Non-expert design of prediction tasks—0
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
Cuffless Blood Pressure Estimation from Electrocardiogram and Photoplethysmogram Using Waveform Based ANN-LSTM Network—0
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models—0
Customers Churn Prediction in Financial Institution Using Artificial Neural Network—0
A Comparative Analysis of Android Malware—0
A strong baseline for question relevancy ranking—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System—0
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective—0
Data-driven intelligent computational design for products: Method, techniques, and applications—0
Data-Driven Investigative Journalism For Connectas Dataset—0
Data-driven Smart Ponzi Scheme Detection—0
Dataiku's Solution to SPHERE's Activity Recognition Challenge—0
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
Deep Neural Solver for Math Word Problems—0
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison—0
A Survey on Churn Analysis—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
Decision Tree Based Wrappers for Hearing Loss—0
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory—0
Decoding and interpreting cortical signals with a compact convolutional neural network—0
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective—0
A Survey on Extraction of Causal Relations from Natural Language Text—0
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors—0
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task—0
Deep Attentive Sentence Ordering Network—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
ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques—0
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features—0
Deepr: A Convolutional Net for Medical Records—0
A neural network model for solvency calculations in life insurance—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
AutoML-GPT: Large Language Model for AutoML—0
A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting—0
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs—0
Deep Hashing: A Joint Approach for Image Signature Learning—0
Deep Health Care Text Classification—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 Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction—0
A Cognition Based Attention Model for Sentiment Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified