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 201–250 of 1706 papers

TitleStatusHype
Augmenting train maintenance technicians with automated incident diagnostic suggestions—0
Understanding Generative AI Content with Embedding Models—0
EEG Right & Left Voluntary Hand Movement-based Virtual Brain-Computer Interfacing Keyboard Using Hybrid Deep Learning Approach—0
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning EnvironmentsCode0
Improving VTE Identification through Language Models from Radiology Reports: A Comparative Study of Mamba, Phi-3 Mini, and BERT—0
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification—0
Focal Depth Estimation: A Calibration-Free, Subject- and Daytime Invariant Approach—0
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series AnalysisCode1
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model—0
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability—0
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language ModelsCode0
RelBench: A Benchmark for Deep Learning on Relational DatabasesCode3
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review—0
An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation—0
Self-Reasoning Assistant Learning for non-Abelian Gauge Fields Design—0
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques—0
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks—0
Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy TranscriptsCode0
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs—0
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph ClassificationCode0
GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text—0
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs—0
Advancing Automated Deception Detection: A Multimodal Approach to Feature Extraction and AnalysisCode0
MERGE -- A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition—0
Automating Venture Capital: Founder assessment using LLM-powered segmentation, feature engineering and automated labeling techniques—0
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system—0
OSPC: Artificial VLM Features for Hateful Meme Detection—0
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular DataCode1
The Remarkable Robustness of LLMs: Stages of Inference?Code1
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning BenchmarksCode4
PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry—0
Comparing fingers and gestures for bci control using an optimized classical machine learning decoder—0
Horseshoe-type Priors for Independent Component Estimation—0
LightGBM robust optimization algorithm based on topological data analysis—0
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation ModelCode0
Retrieval-Augmented Feature Generation for Domain-Specific Classification—0
Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil—0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree ReasoningCode1
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy—0
Learned Feature Importance Scores for Automated Feature Engineering—0
Dynamic and Adaptive Feature Generation with LLM—0
DeepMol: An Automated Machine and Deep Learning Framework for Computational ChemistrCode2
Iterative Feature Boosting for Explainable Speech Emotion RecognitionCode0
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental EvaluationCode1
Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking SequencesCode1
Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction—0
Transitional Uncertainty with Layered Intermediate Predictions—0
Maintaining and Managing Road Quality:Using MLP and DNN—0
Wearable-based behaviour interpolation for semi-supervised human activity recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified