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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 701–750 of 1706 papers

TitleStatusHype
Capturing ``attrition intensifying'' structural traits from didactic interaction sequences of MOOC learners—0
Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets—0
Exploring Adversarial Examples in Malware Detection—0
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering—0
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
Exploration of Proximity Heuristics in Length Normalization—0
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish—0
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?—0
Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation—0
Explaining Translationese: why are Neural Classifiers Better and what do they Learn?—0
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting—0
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems—0
A Pipeline for Post-Crisis Twitter Data Acquisition—0
Exploring Microstructural Dynamics in Cryptocurrency Limit Order Books: Better Inputs Matter More Than Stacking Another Hidden Layer—0
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data—0
Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation—0
Explainable Neural Networks based on Additive Index Models—0
Extracting Drug-Drug Interactions with Attention CNNs—0
Explainable Multi-class Classification of Medical Data—0
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification—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 Decade Survey of Content Based Image Retrieval using Deep Learning—0
Extractive Text Summarization using Neural Networks—0
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package—0
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data—0
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models—0
Explainable Automatic Grading with Neural Additive Models—0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Fake News Early Detection: An Interdisciplinary Study—0
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text using Feature Engineering—0
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration—0
Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface—0
Fast and Accurate Decision Trees for Natural Language Processing Tasks—0
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks—0
Fast and Accurate Performance Analysis of LTE Radio Access Networks—0
Fast and Accurate Reordering with ITG Transition RNN—0
Fast Learning and Prediction for Object Detection using Whitened CNN Features—0
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench—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
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022—0
Feature Cross Search via Submodular Optimization—0
Feature Engineering and Classification Models for Partial Discharge in Power Transformers—0
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction—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
Event Extraction with Generative Adversarial Imitation Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified