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 501–550 of 1706 papers

TitleStatusHype
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions—0
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level—0
A Brief Survey of Machine Learning Methods for Emotion Prediction using Physiological Data—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
Deep Learning based, end-to-end metaphor detection in Greek language with Recurrent and Convolutional Neural Networks—0
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory—0
Decision Tree Based Wrappers for Hearing Loss—0
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective—0
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
A Survey on Churn Analysis—0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language—0
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison—0
Dataset-Agnostic Recommender Systems—0
Dataiku's Solution to SPHERE's Activity Recognition Challenge—0
Data-driven Smart Ponzi Scheme Detection—0
Data-Driven Investigative Journalism For Connectas Dataset—0
Enhancing Sindhi Word Segmentation using Subword Representation Learning and Position-aware Self-attention—0
Data-driven intelligent computational design for products: Method, techniques, and applications—0
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective—0
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code—0
A Model of Coherence Based on Distributed Sentence Representation—0
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Customer Support Ticket Escalation Prediction using Feature Engineering—0
A strong baseline for question relevancy ranking—0
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System—0
Customers Churn Prediction in Financial Institution Using Artificial Neural Network—0
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models—0
A streamable large-scale clinical EEG dataset for Deep Learning—0
Cuffless Blood Pressure Estimation from Electrocardiogram and Photoplethysmogram Using Waveform Based ANN-LSTM Network—0
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
A State-of-the-Art Mention-Pair Model for Coreference Resolution—0
AMC-Net: An Effective Network for Automatic Modulation Classification—0
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction—0
Democratizing AI: Non-expert design of prediction tasks—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Cross-lingual Short-text Matching with Deep Learning—0
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science—0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
Cross-Class Relevance Learning for Temporal Concept Localization—0
Assets Forecasting with Feature Engineering and Transformation Methods for LightGBM—0
Credit card fraud detection using machine learning: A survey—0
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data—0
Asset price movement prediction using empirical mode decomposition and Gaussian mixture models—0
A Machine Learning Approach to Digital Contact Tracing: TC4TL Challenge—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified