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Feature engineering

Incorporating Automated Feature Engineering Routines Into Automated Machine Learning Pipelines by Wesley Runnels
Learning from Few Subjects with Large Amounts of Voice Monitoring Data
Expert Feature-Engineering Vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?
Deep Learning Feature Extraction Approach for Hematopoietic Cancer Subtype Classiﬁcation
Feature Engineering for Predictive Modeling Using Reinforcement Learning
Explicit Document Modeling Through Weighted Multiple-Instance Learning
Miforests: Multiple-Instance Learning with Randomized Trees⋆
A New Modal Autoencoder for Functionally Independent Feature Extraction
Feature Engineering for Machine Learning
A Brief Introduction to Deep Learning
Truncated SVD-Based Feature Engineering for Music Recommendation KKBOX’S Music Recommendation Challenge at ACM WSDM Cup 2018
A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction
Multiple Instance Learning for ECG Risk Stratification
Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-Objective Optimization
Mol2vec: Unsupervised Machine Learning Approach with Chemical
IMU-Based Locomotor Intention Prediction for Real-Time Use In
Automatic Feature Engineering from Very High Dimensional Event Logs Using Deep Neural Networks
Multiple Instance Learning Under Real-World Conditions

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Multinomial Logistic Regression + Feature Engineering
Svdfeature: a Toolkit for Feature-Based Collaborative Filtering
Feature Engineering
Applied Deep Learning Model for Text-To-Speech Synthesis in Macedonian Language
Learning Feature Engineering for Classification
Buzzsaw: a System for High Speed Feature Engineering
Fast Feature Selection for Linear Value Function Approximation
Music Artist Classification with Wavenet Classifier for Raw Waveform Audio Data
Feature Engineering and Machine Learning Methodologies Using
Feature Selection and Analysis for Standard Machine Learning Classification of Audio Beehive Samples
Learning with Sets in Multiple Instance Regression Applied to Remote Sensing
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
Sentiment Analysis Methods Comparison & Comprehensive
Automated Feature Engineering for Predictive Modeling
ORIE 4741: Learning with Big Messy Data [2Ex] Review for Final Exam
An Empirical Analysis of Feature Engineering for Predictive Modeling
Neural Networks and Deep Learning
Feature Engineering for Supervised Link Prediction on Dynamic Social Networks

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