An empirical analysis of feature engineering for predictive modeling

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Assuring the Machine Learning Lifecycle: Desiderata, Methods, and ChallengesPreprint

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Ensemble Machine-Learning Models for Accurate Prediction of Solar Irradiation in Bangladesh

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Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation

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Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review

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Forecasting and mitigation of global environmental carbon dioxide emission using machine learning techniques

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Pairing conceptual modeling with machine learning

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Comprehensive machine and deep learning analysis of sensor-based human activity recognition

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Predicting the compressive strength of high-performance concrete using an interpretable machine learning model

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A Novel Approach for Best Parameters Selection and Feature Engineering to Analyze and Detect Diabetes: Machine Learning Insights

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Human vs. supervised machine learning: Who learns patterns faster?

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Artificial Intelligence-Based Medical Data Mining

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Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data

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Dynamic Event Detection Using a Distributed Feature Selection Based Machine Learning Approach in a Self-Healing Microgrid

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A Time-Frequency Based Suspicious Activity Detection for Anti-Money Laundering

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Learning Sentiment Analysis for Accessibility User Reviews

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An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique

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Deep Learning for Image-Based Plant Growth Monitoring: A Review

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A Novel Approach to Detect Electricity Theft Based on Conv-Attentional Transformer

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The art of feature engineering: essentials for machine learning

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Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach

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Machine learning promotes the development of all-solid-state batteries

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Machine Learning and Deep Learning Models Applied to Photovoltaic Production Forecasting

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Emotion detection from ECG signals with different learning algorithms and automated feature engineering

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FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches

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Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology

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Exploring Feature Engineering Strategies for Improving Predictive Models in Data Science

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Intelligent Feature Engineering for Cybersecurity

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Accurate Identification of ADHD among Adults Using Real-Time Activity Data

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Field-scale UAV-based multispectral phenomics: Leveraging machine learning, explainable AI, and hybrid feature engineering for enhancements in potato phenotyping

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Dengue Prediction Using Deep Learning With Long Short-Term Memory

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Predicting the Redshift of Gamma-Ray Loud AGNs Using Supervised Machine Learning. II

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Machine Learning for Spacecraft Operations Support - The Mars Express Power Challenge

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Machine Learning based System Identification Tool for data-based Energy and Resource Modeling and Simulation

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Automated Feature Engineering for Deep Neural Networks with Genetic Programming

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Artificial Intelligence in Pathology: A Simple and Practical Guide

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Maldistribution and dynamic liquid holdup quantification of quadrilobe catalyst in a trickle bed reactor using gamma-ray computed tomography: Pseudo-3D modelling and empirical modelling using deep neural network

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RAIDER: Reinforcement-Aided Spear Phishing Detector

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A data-driven algorithm to detect false data injections targeting both frequency regulation and market operation in power systems

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Symbolic regression as a feature engineering method for machine and deep learning regression tasks

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Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

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Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends

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Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation

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Performance evaluation of optimized and adaptive neuro fuzzy inference system for predictive modeling in agriculture

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A dynamic scenario‐driven technique for stock price prediction and trading

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Prediction of maximum slug length considering impact of well trajectories in British Columbia shale gas fields using machine learning

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Data Preprocessing

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Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges

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ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

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Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis

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Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques

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Learning Web Content Extraction with DOM Features

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Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

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Feature guided training and rotational standardization for the morphological classification of radio galaxies

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Bridging accuracy and interpretability: A rescaled cluster-then-predict approach for enhanced credit scoring

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LightGBM outperforms other machine learning techniques in predicting graft failure after liver transplantation: Creation of a predictive model through large‐scale analysis

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Harnessing feature engineering to improve machine learning: A review of different data processing techniques

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