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 751–800 of 1706 papers

TitleStatusHype
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review—0
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition—0
MalNet: A Large-Scale Image Database of Malicious SoftwareCode1
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures—0
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey—0
Machine Learning in LiDAR 3D point clouds—0
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNsCode1
The Challenges of Persian User-generated Textual Content: A Machine Learning-Based ApproachCode1
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data—0
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG—0
MONAH: Multi-Modal Narratives for Humans to analyze conversationsCode0
A Survey on Extraction of Causal Relations from Natural Language Text—0
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning ApproachCode0
Summaformers @ LaySumm 20, LongSumm 20Code1
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields—0
Simplified DOM Trees for Transferable Attribute Extraction from the WebCode1
Statistical learning for accurate and interpretable battery lifetime predictionCode1
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning—0
Detecting Singleton Spams in Reviews via Learning Deep Anomalous Temporal Aspect-Sentiment PatternsCode0
String Theory: Parsed Categoric Encodings with Automunge—0
A Numbers Game: Numeric Encoding Options with Automunge—0
Reusing Preprocessing Data as Auxiliary Supervision in Conversational Analysis—0
Simple deductive reasoning tests and data sets for exposing limitation of today's deep neural networks—0
Enhancing Sindhi Word Segmentation using Subword Representation Learning and Position-aware Self-attention—0
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual imagesCode0
Shape-based Feature Engineering for Solar Flare Prediction—0
Explainable Multi-class Classification of Medical Data—0
AutonoML: Towards an Integrated Framework for Autonomous Machine LearningCode0
Intelligent Vector-based Customer Segmentation in the Banking Industry—0
Unboxing Engagement in YouTube Influencer Videos: An Attention-Based Approach—0
Machine Learning for Detecting Data Exfiltration: A Review—0
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
An Embedding Learning Framework for Numerical Features in CTR PredictionCode0
Semantic Annotation for Tabular Data—0
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language ModelCode1
Enabling Collaborative Data Science Development with the Ballet FrameworkCode1
Yelp Review Rating Prediction: Machine Learning and Deep Learning ModelsCode1
Repurposing recidivism models for forecasting police officer use of forceCode0
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review—0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks—0
A Novel Approach to Radiometric IdentificationCode0
Leveraging Latent Representations of Speech for Indian Language Identification—0
BertAA : BERT fine-tuning for Authorship Attribution—0
Neural Automated Essay Scoring Incorporating Handcrafted Features—0
CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social MediaCode0
Classifying Malware Using Function Representations in a Static Call Graph—0
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code MatchingCode1
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?Code1
Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small DatasetsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified