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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 251–300 of 1706 papers

TitleStatusHype
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification—0
Analyzing Multispectral Satellite Imagery of South American Wildfires Using Deep Learning—0
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks—0
Applications of Large Language Model Reasoning in Feature Generation—0
Application Research On Real-Time Perception Of Device Performance Status—0
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis—0
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data—0
Application of Statistical Relational Learning to Hybrid Recommendation Systems—0
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification—0
A Hybrid Model for Forecasting Short-Term Electricity Demand—0
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting—0
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock—0
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction—0
A Deep Convolutional Neural Network for Background Subtraction—0
A Hybrid Approach for Smart Alert Generation—0
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals—0
A Deep Belief Network Based Machine Learning System for Risky Host Detection—0
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data—0
Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: A Systematic Scoping Review—0
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering—0
A Decade Survey of Content Based Image Retrieval using Deep Learning—0
A Pipeline for Post-Crisis Twitter Data Acquisition—0
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications—0
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews—0
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package—0
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration—0
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
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection—0
An Unsupervised Model with Attention Autoencoders for Question Retrieval—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
A Comparative Study of Neural Network Models for Sentence Classification—0
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
A Numbers Game: Numeric Encoding Options with Automunge—0
Additive Neural Networks for Statistical Machine Translation—0
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence—0
A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified