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 151–200 of 1706 papers

TitleStatusHype
A Morphology-aware Network for Morphological DisambiguationCode0
Activation Analysis of a Byte-Based Deep Neural Network for Malware ClassificationCode0
Encoding high-cardinality string categorical variablesCode0
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular PredictionCode0
Egocentric Spatial MemoryCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error StatesCode0
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFCode0
EvoAAA: An evolutionary methodology for automated autoencoder architecture searchCode0
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory NetworkCode0
DROCC: Deep Robust One-Class ClassificationCode0
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance SamplingCode0
Dynamic Malware Analysis with Feature Engineering and Feature LearningCode0
A deep learning framework for Text-independent Writer IdentificationCode0
Dominant motion identification of multi-particle system using deep learning from videoCode0
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural NetworksCode0
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News ClassificationCode0
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information NetworksCode0
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression LearningCode0
Detecting Singleton Spams in Reviews via Learning Deep Anomalous Temporal Aspect-Sentiment PatternsCode0
AraNet: A Deep Learning Toolkit for Arabic Social MediaCode0
Descriptive Kernel Convolution Network with Improved Random Walk KernelCode0
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning EnvironmentsCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural NetworksCode0
De-identification of Patient Notes with Recurrent Neural NetworksCode0
Deep Learning for Answer Sentence SelectionCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
A Multi-level Neural Network for Implicit Causality Detection in Web TextsCode0
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
Disfluency Detection using Auto-Correlational Neural NetworksCode0
Effective Illicit Account Detection on Large Cryptocurrency MultiGraphsCode0
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient DetectionCode0
A Deep Learning Approach for Automatic Detection of Fake NewsCode0
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionCode0
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait RecognitionCode0
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial FeaturesCode0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Applying Deep Learning to Basketball TrajectoriesCode0
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction PredictionCode0
DeepAtom: A Framework for Protein-Ligand Binding Affinity PredictionCode0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
Deep Learning Chromatic and Clique Numbers of GraphsCode0
deepQuest: A Framework for Neural-based Quality EstimationCode0
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in textCode0
DeepTriangle: A Deep Learning Approach to Loss ReservingCode0
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced LossCode0
DeepInf: Social Influence Prediction with Deep LearningCode0
Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature AugmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified