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

Showing 13511400 of 1706 papers

TitleStatusHype
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation0
Android Malware Detection Based on RGB Images and Multi-feature Fusion0
An Effective Neural Network Model for Graph-based Dependency Parsing0
An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation0
An Efficient Architecture for Predicting the Case of Characters using Sequence Models0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing0
An Empirical Study of Factors Affecting Language-Independent Models0
An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content0
An End-to-End Graph Convolutional Kernel Support Vector Machine0
An Enhanced Ad Event-Prediction Method Based on Feature Engineering0
An entity-driven recursive neural network model for chinese discourse coherence modeling0
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition0
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval0
A Neural Network Based Explainable Recommender System0
A neural network model for solvency calculations in life insurance0
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting0
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM0
An investigation of a deep learning based malware detection system0
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task0
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals0
A novel Network Science Algorithm for Improving Triage of Patients0
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance0
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence0
A Numbers Game: Numeric Encoding Options with Automunge0
An Unsupervised Model with Attention Autoencoders for Question Retrieval0
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection0
基於字元階層之語音合成用文脈訊息擷取 (Character-Level Linguistic Features Extraction for Text-to-Speech System) [In Chinese]0
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration0
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications0
A Pipeline for Post-Crisis Twitter Data Acquisition0
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review0
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data0
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals0
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock0
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting0
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification0
Application of Statistical Relational Learning to Hybrid Recommendation Systems0
Application Research On Real-Time Perception Of Device Performance Status0
Applications of Large Language Model Reasoning in Feature Generation0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India0
Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods0
Approximation Ratios of Graph Neural Networks for Combinatorial Problems0
A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification0
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer0
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98Unverified