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
Detecting Singleton Spams in Reviews via Learning Deep Anomalous Temporal Aspect-Sentiment PatternsCode0
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning EnvironmentsCode0
AutonoML: Towards an Integrated Framework for Autonomous Machine LearningCode0
A Neurochaos Learning Architecture for Genome ClassificationCode0
Descriptive Kernel Convolution Network with Improved Random Walk KernelCode0
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries ChallengeCode0
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural NetworksCode0
DeepTriangle: A Deep Learning Approach to Loss ReservingCode0
A Factored Neural Network Model for Characterizing Online Discussions in Vector SpaceCode0
Disfluency Detection using Auto-Correlational Neural NetworksCode0
Deep Voice: Real-time Neural Text-to-SpeechCode0
Deep Learning for Answer Sentence SelectionCode0
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI ResearchersCode0
Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health RecordsCode0
A Neural Approach to Automated Essay ScoringCode0
Deep Learning Chromatic and Clique Numbers of GraphsCode0
deepQuest: A Framework for Neural-based Quality EstimationCode0
An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG SignalsCode0
De-identification of Patient Notes with Recurrent Neural NetworksCode0
DeepInf: Social Influence Prediction with Deep LearningCode0
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait RecognitionCode0
Egocentric Spatial MemoryCode0
Anomaly Detection in High Dimensional DataCode0
Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural NetworksCode0
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionCode0
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient DetectionCode0
A Novel Approach to Radiometric IdentificationCode0
Enhancing Abstractive Summarization of Scientific Papers Using Structure InformationCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly ModelsCode0
Automatic Health Problem Detection from Gait Videos Using Deep Neural NetworksCode0
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in textCode0
Binary Classification as a Phase Separation ProcessCode0
Binary Classification in Unstructured Space With Hypergraph Case-Based ReasoningCode0
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure DetectionCode0
Event Detection and Domain Adaptation with Convolutional Neural NetworksCode0
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral FeaturesCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
Boosting Relational Deep Learning with Pretrained Tabular ModelsCode0
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine TranslationCode0
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity MeasureCode0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
DDGK: Learning Graph Representations for Deep Divergence Graph KernelsCode0
Automatic deductive coding in discourse analysis: an application of large language models in learning analyticsCode0
Automatic Argumentative-Zoning Using Word2vecCode0
A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning ApproachCode0
Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable EnergyCode0
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the OvenCode0
Deduplication Over Heterogeneous Attribute Types (D-HAT)Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified