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 1501–1550 of 1706 papers

TitleStatusHype
Integrating convolutional layers and biformer network with forward-forward and backpropagation trainingCode0
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained EnvironmentsCode0
TSPP: A Unified Benchmarking Tool for Time-series ForecastingCode0
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement LearningCode0
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author IdentificationCode0
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMsCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social NetworksCode0
DDGK: Learning Graph Representations for Deep Divergence Graph KernelsCode0
Encoding high-cardinality string categorical variablesCode0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMsCode0
Named Entity Recognition with Bidirectional LSTM-CNNsCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
Interpolation of mountain weather forecasts by machine learningCode0
Name Disambiguation in Anonymized Graphs using Network EmbeddingCode0
End-to-end Network for Twitter Geolocation Prediction and HashingCode0
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the OvenCode0
Native Language Identification with Big Bird EmbeddingsCode0
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRFCode0
A Robust Hybrid Approach for Textual Document ClassificationCode0
Interpretable Predictions of Tree-based Ensembles via Actionable Feature TweakingCode0
Interpretation of Semantic Tweet RepresentationsCode0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor NetworksCode0
Enhancing Abstractive Summarization of Scientific Papers Using Structure InformationCode0
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted FeaturesCode0
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred EmbeddingsCode0
Tutorial on Deep Learning for Human Activity RecognitionCode0
Automatic Health Problem Detection from Gait Videos Using Deep Neural NetworksCode0
Automatic deductive coding in discourse analysis: an application of large language models in learning analyticsCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
SimpleDS: A Simple Deep Reinforcement Learning Dialogue SystemCode0
Spikebench: An open benchmark for spike train time-series classificationCode0
Reconstruction of Incomplete Wildfire Data using Deep Generative ModelsCode0
Danish Stance Classification and Rumour ResolutionCode0
AraNet: A Deep Learning Toolkit for Arabic Social MediaCode0
Recurrent Attention Network on Memory for Aspect Sentiment AnalysisCode0
Ensemble Learning Applied to Classify GPS Trajectories of Birds into Male or FemaleCode0
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced LossCode0
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly DetectionCode0
Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methodsCode0
Automatic Argumentative-Zoning Using Word2vecCode0
Applying Deep Learning to Basketball TrajectoriesCode0
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart ChairCode0
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender SystemsCode0
CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social MediaCode0
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?Code0
Estimating Linguistic Complexity for Science TextsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified