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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 351–400 of 1706 papers

TitleStatusHype
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification—0
A Feature Induction Algorithm with Application to Named Entity Disambiguation—0
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting—0
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?—0
Bayesian Kernel Methods for Natural Language Processing—0
An investigation of a deep learning based malware detection system—0
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
Capturing ``attrition intensifying'' structural traits from didactic interaction sequences of MOOC learners—0
Horseshoe-type Priors for Independent Component Estimation—0
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM—0
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data—0
Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships—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
Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients -- a practical guide—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Character Feature Engineering for Japanese Word Segmentation—0
Character-level Supervision for Low-resource POS Tagging—0
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting—0
Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension—0
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification—0
Chemellia: An Ecosystem for Atomistic Scientific Machine Learning—0
Chemical-Induced Disease Detection Using Invariance-based Pattern Learning Model—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Chinese Event Extraction Using DeepNeural Network with Word Embedding—0
Chinese Grammatical Error Diagnosis Based on CRF and LSTM-CRF model—0
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks—0
Chinese Zero Pronoun Resolution with Deep Memory Network—0
Bacteria and Biotope Entity Recognition Using A Dictionary-Enhanced Neural Network Model—0
Chronic Diseases Prediction Using ML—0
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space—0
Citcom – Citation Recommendation—0
Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods—0
Classification of Electrical Impedance Tomography Data Using Machine Learning—0
Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph—0
Classification of Operational Records in Aviation Using Deep Learning Approaches—0
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer—0
Classifying Malware Using Function Representations in a Static Call Graph—0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention—0
Classifying single-qubit noise using machine learning—0
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later—0
Arabic Named Entity Recognition: What Works and What's Next—0
Clickbait detection using word embeddings—0
client2vec: Towards Systematic Baselines for Banking Applications—0
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals—0
Clinical Event Detection with Hybrid Neural Architecture—0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting—0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified