The Boosting Approach to Machine Learning: An Overview

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Boosting a Weak Learning Algorithm by Majority

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A working guide to boosted regression trees

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Gradient boosting machines, a tutorial

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The Algorithmic Foundations of Differential Privacy

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An empirical comparison of supervised learning algorithms

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Model compression

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Foundations of Machine Learning

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Boosting and Differential Privacy

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Boosted decision trees as an alternative to artificial neural networks for particle identification

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Opening the black box: interpretable machine learning for geneticists

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Prediction and explanation in social systems

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Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

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Dentronics: Towards robotics and artificial intelligence in dentistry

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Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

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A Machine Learning Approach for Efficient Traffic Classification

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Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

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Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification

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Automatic Detection and Segmentation of Lymph Nodes From CT Data

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Deep decision tree transfer boosting

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Human movement onset detection from isometric force and torque measurements: A supervised pattern recognition approach

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