SOTAVerified

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 301–350 of 1706 papers

TitleStatusHype
Clickbait detection using word embeddings—0
client2vec: Towards Systematic Baselines for Banking Applications—0
Classifying Malware Using Function Representations in a Static Call Graph—0
A novel Network Science Algorithm for Improving Triage of Patients—0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention—0
A Data-Driven Method for Recognizing Automated Negotiation Strategies—0
Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text—0
A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading—0
Classifying single-qubit noise using machine learning—0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task—0
A Food Recommender System in Academic Environments Based on Machine Learning Models—0
A Data-driven Deep Learning Approach for Bitcoin Price Forecasting—0
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages—0
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification—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
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later—0
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals—0
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations—0
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications—0
Affect inTweets: A Transfer Learning Approach—0
BertAA : BERT fine-tuning for Authorship Attribution—0
Better Model Selection with a new Definition of Feature Importance—0
Beyond Context: A New Perspective for Word Embeddings—0
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes—0
Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs—0
Bidirectional LSTM for Named Entity Recognition in Twitter Messages—0
Bi-Encoders based Species Normalization -- Pairwise Sentence Learning to Rank—0
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals—0
Bi-LSTM Price Prediction based on Attention Mechanism—0
Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty—0
A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons—0
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization—0
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection—0
A Numbers Game: Numeric Encoding Options with Automunge—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks—0
A Feature Induction Algorithm with Application to Named Entity Disambiguation—0
Breast mass classification in ultrasound based on Kendall's shape manifold—0
Bridging the Semantic Gap in Virtual Machine Introspection and Forensic Memory Analysis—0
Bringing Structure to Naturalness: On the Naturalness of ASTs—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Building automated vandalism detection tools for Wikidata—0
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench—0
C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text using Feature Engineering—0
Bayesian Kernel Methods for Natural Language Processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified