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A systematic review of data mining and machine learning for air pollution epidemiology

BMC public health, 2017-11, Vol.17 (1), p.907-907, Article 907

2017

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SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm

IEEE access, 2020, Vol.8, p.59069-59082

2020

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Reinforcement Learning Environment for Wavefront Sensorless Adaptive Optics in Single-Mode Fiber Coupled Optical Satellite Communications Downlinks

Photonics, 2023-12, Vol.10 (12), p.1371

2023

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Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes

Environment international, 2019-10, Vol.131, p.104972, Article 104972

2019

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The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies

BMC medical informatics and decision making, 2019-06, Vol.19 (1), p.112-112, Article 112

2019

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Manifold-based synthetic oversampling with manifold conformance estimation

Machine learning, 2018-03, Vol.107 (3), p.605-637

2018

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Data for resistance and inductance estimation within a voltage source inverter

Data in brief, 2019-08, Vol.25, p.104104-104104, Article 104104

2019

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The class imbalance problem in deep learning

Machine learning, 2024-07, Vol.113 (7), p.4845-4901

2024

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Automated imbalanced classification via layered learning

Machine learning, 2023-06, Vol.112 (6), p.2083-2104

2023

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One-class classification – From theory to practice: A case-study in radioactive threat detection

Expert systems with applications, 2018-10, Vol.108, p.223-232

2018

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Understanding imbalanced data: XAI & interpretable ML framework

Machine learning, 2024-06, Vol.113 (6), p.3751-3769

2024

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Understanding CNN fragility when learning with imbalanced data

Machine learning, 2024-07, Vol.113 (7), p.4785-4810

2024

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RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

Machine learning, 2021-12, Vol.110 (11-12), p.3059-3093

2021

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Reinforcement learning for in silico determination of adsorbate-substrate structures

Journal of computational chemistry, 2024-06, Vol.45 (15), p.1289-1302

2024

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Framework for extreme imbalance classification: SWIM—sampling with the majority class

Knowledge and information systems, 2020-03, Vol.62 (3), p.841-866

2020

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Beyond the Boundaries of SMOTE: A Framework for Manifold-Based Synthetically Oversampling

Machine Learning and Knowledge Discovery in Databases, 2016, p.248-263

2016

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Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning

Discovery Science, 2021, Vol.12986, p.242-252

2021

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Efficient Augmentation for Imbalanced Deep Learning

2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023, p.1433-1446

2023

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Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers’ Compensation Claimants with Musculoskeletal Conditions

Journal of occupational rehabilitation, 2020-09, Vol.30 (3), p.318-330

2020

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ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry

Digital discovery, 2024-04, Vol.3 (4), p.742-758

2024

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Machine Learning for Work Disability Prevention: Introduction to the Special Series

Journal of occupational rehabilitation, 2020-09, Vol.30 (3), p.303-307

2020

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Modelling and Classifying Stochastically Episodic Events

Bellinger, Colin

2010

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On the Pattern Recognition and Classification of Stochastically Episodic Events

Transactions on Computational Collective Intelligence VI, 2012, Vol.7190, p.1-35

2012

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Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance

2018 IEEE International Conference on Data Mining (ICDM), 2018, p.447-456

2018

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The CURE for Class Imbalance

Discovery Science, 2019, Vol.11828, p.3-17

2019

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A systematic review of data mining and machine learning for air pollution epidemiology

SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm

Reinforcement Learning Environment for Wavefront Sensorless Adaptive Optics in Single-Mode Fiber Coupled Optical Satellite Communications Downlinks

Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes

The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies

Manifold-based synthetic oversampling with manifold conformance estimation

Data for resistance and inductance estimation within a voltage source inverter

The class imbalance problem in deep learning

Automated imbalanced classification via layered learning

One-class classification – From theory to practice: A case-study in radioactive threat detection

Understanding imbalanced data: XAI & interpretable ML framework

Understanding CNN fragility when learning with imbalanced data

RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

Reinforcement learning for in silico determination of adsorbate-substrate structures

Framework for extreme imbalance classification: SWIM—sampling with the majority class

Beyond the Boundaries of SMOTE: A Framework for Manifold-Based Synthetically Oversampling

Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning

Efficient Augmentation for Imbalanced Deep Learning

Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers’ Compensation Claimants with Musculoskeletal Conditions

ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry

Machine Learning for Work Disability Prevention: Introduction to the Special Series

Modelling and Classifying Stochastically Episodic Events

On the Pattern Recognition and Classification of Stochastically Episodic Events

Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance

The CURE for Class Imbalance

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