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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 151–175 of 1706 papers

TitleStatusHype
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling—0
Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language—0
A Brand-level Ranking System with the Customized Attention-GRU Model—0
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
A Model of Coherence Based on Distributed Sentence Representation—0
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation—0
A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts—0
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System—0
AMC-Net: An Effective Network for Automatic Modulation Classification—0
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction—0
A machine learning model for identifying cyclic alternating patterns in the sleeping brain—0
A Machine Learning Approach to Digital Contact Tracing: TC4TL Challenge—0
A Deep Neural Network Approach To Parallel Sentence Extraction—0
Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation—0
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises—0
Argument Labeling of Explicit Discourse Relations using LSTM Neural Networks—0
A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects—0
Alzheimer's Disease Detection from Spontaneous Speech and Text: A review—0
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams—0
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
A deep learning model for estimating story points—0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes—0
A Linear Baseline Classifier for Cross-Lingual Pronoun Prediction—0
Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified