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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 751–800 of 1706 papers

TitleStatusHype
Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface—0
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring—0
Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks—0
Feature Engineering for Knowledge Base Construction—0
Feature Engineering for Map Matching of Low-Sampling-Rate GPS Trajectories in Road Network—0
Feature Engineering for Mid-Price Prediction with Deep Learning—0
Feature Engineering for Predictive Modeling using Reinforcement Learning—0
Feature Engineering for Scalable Application-Level Post-Silicon Debugging—0
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks—0
Feature Engineering for US State Legislative Hearings: Stance, Affiliation, Engagement and Absentees—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report—0
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench—0
Feature Engineering on LMS Data to Optimize Student Performance Prediction—0
Feature Engineering vs BERT on Twitter Data—0
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature—0
Building automated vandalism detection tools for Wikidata—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
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
Feature-Enriched Character-Level Convolutions for Text Regression—0
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches—0
FeatureForge: A Novel Tool for Visually Supported Feature Engineering and Corpus Revision—0
Feature Imitating Networks—0
Feature Optimization for Constituent Parsing via Neural Networks—0
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Event Nugget Detection with Forward-Backward Recurrent Neural Networks—0
Feature Selection with Distance Correlation—0
Event Extraction with Generative Adversarial Imitation Learning—0
Feedforward Neural Network for Time Series Anomaly Detection—0
FenceNet: Fine-grained Footwork Recognition in Fencing—0
FeRG-LLM : Feature Engineering by Reason Generation Large Language Models—0
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language—0
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques—0
Few-shot incremental learning in the context of solar cell quality inspection—0
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection—0
Field-aware Neural Factorization Machine for Click-Through Rate Prediction—0
Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning—0
Bringing Structure to Naturalness: On the Naturalness of ASTs—0
Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization—0
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection—0
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures—0
FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection—0
Flexible Operator Embeddings via Deep Learning—0
Event Argument Identification on Dependency Graphs with Bidirectional LSTMs—0
Focal Depth Estimation: A Calibration-Free, Subject- and Daytime Invariant Approach—0
Forecasting the 2017-2018 Yemen Cholera Outbreak with Machine Learning—0
Forensic Data Analytics for Anomaly Detection in Evolving Networks—0
Bridging the Semantic Gap in Virtual Machine Introspection and Forensic Memory Analysis—0
Breast mass classification in ultrasound based on Kendall's shape manifold—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified