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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 801–850 of 1706 papers

TitleStatusHype
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022—0
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations—0
From Digital Humanities to Quantum Humanities: Potentials and Applications—0
From Features to Transformers: Redefining Ranking for Scalable Impact—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
Gated Recursive Neural Network for Chinese Word Segmentation—0
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding—0
Event Extraction with Generative Adversarial Imitation Learning—0
GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model—0
Generalized Convolutional Neural Networks for Point Cloud Data—0
Bringing Structure to Naturalness: On the Naturalness of ASTs—0
Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation—0
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection—0
Event Argument Identification on Dependency Graphs with Bidirectional LSTMs—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
An Unsupervised Model with Attention Autoencoders for Question Retrieval—0
GeoDecoder: Empowering Multimodal Map Understanding—0
Geomancer: An Open-Source Framework for Geospatial Feature Engineering—0
Geometric feature performance under downsampling for EEG classification tasks—0
Getting the Most out of AMR Parsing—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition—0
Global Pose Estimation with an Attention-based Recurrent Network—0
Golden Reference-Free Hardware Trojan Localization using Graph Convolutional Network—0
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text—0
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees—0
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems—0
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation—0
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks—0
Graph Classification via Reference Distribution Learning: Theory and Practice—0
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system—0
Estimating Brain Age with Global and Local Dependencies—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models—0
A Numbers Game: Numeric Encoding Options with Automunge—0
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs—0
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
Graph Neural Networks and Boolean Satisfiability—0
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network—0
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction—0
Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks—0
Escalation Prediction using Feature Engineering: Addressing Support Ticket Escalations within IBM's Ecosystem—0
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model—0
Ensemble Learning to Assess Dynamics of Affective Experience Ratings and Physiological Change—0
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization—0
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores—0
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified