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Colin Bellinger

The class imbalance problem in deep learning
2022 · Kushankur Ghosh, Colin Bellinger, et al. · Machine Learning · 316
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A systematic review of data mining and machine learning for air pollution epidemiology
2017 · Colin Bellinger, Mohomed Shazan Mohomed Jabbar, et al. · BMC Public Health · 260
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Roadmap on Machine learning in electronic structure
2022 · H J Kulik, T Hammerschmidt, et al. · Electronic Structure · 184
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Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance
2018 · Shiven Sharma, Colin Bellinger, et al. · Proceedings · 103
One-Class versus Binary Classification: Which and When?
2012 · Colin Bellinger, Shiven Sharma, et al. · International Conference on Machine Learning and Applications · 90
SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm
2020 · Ahmad S. Tarawneh, Ahmad B. A. Hassanat, et al. · IEEE Access · 80
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Understanding CNN fragility when learning with imbalanced data
2023 · Damien Dablain, Kristen N. Jacobson, et al. · Machine Learning · 70
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Manifold-based synthetic oversampling with manifold conformance estimation
2017 · Colin Bellinger, Christopher Drummond, et al. · Machine Learning · 62
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Framework for extreme imbalance classification: SWIM—sampling with the majority class
2019 · Colin Bellinger, Shiven Sharma, et al. · Knowledge and Information Systems · 59
Anomaly detection in gamma ray spectra: A machine learning perspective
2012 · Shiven Sharma, Colin Bellinger, et al. · 35
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification
2021 · Bartosz Krawczyk, Colin Bellinger, et al. · 30
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Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes
2019 · Jesus Serrano-Lomelin, Charlene C. Nielsen, et al. · Environment International · 28
Beyond the Boundaries of SMOTE
2016 · Colin Bellinger, Christopher Drummond, et al. · Lecture notes in computer science · 28
Synthetic Oversampling for Advanced Radioactive Threat Detection
2015 · Colin Bellinger, Nathalie Japkowicz, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 28
Explainable image analysis for decision support in medical healthcare
2021 · Roberto Corizzo, Yohan Dauphin, et al. · IEEE International Conference on Big Data (BigData) · 27
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning
2021 · Colin Bellinger, Roberto Corizzo, et al. · Lecture notes in computer science · 24
Active Learning for One-Class Classification
2015 · Vincent Barnabe-Lortie, Colin Bellinger, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 23
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Efficient Augmentation for Imbalanced Deep Learning
2023 · Damien A. Dablain, Colin Bellinger, et al. · Proceedings - International Conference on Data Engineering · 22
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RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
2021 · Michał Koziarski, Colin Bellinger, et al. · Machine Learning · 22
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Multi-label Classification of Anemia Patients
2015 · Colin Bellinger, Ali Amid, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 22
Validity of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Workers’ Compensation Claimants with Musculoskeletal Conditions
2019 · Douglas P. Gross, Ivan A. Steenstra, et al. · Journal of Occupational Rehabilitation · 19
On the combined effect of class imbalance and concept complexity in deep learning
2021 · Kushankur Ghosh, Colin Bellinger, et al. · IEEE International Conference on Big Data (BigData) · 17
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Machine Learning for Work Disability Prevention: Introduction to the Special Series
2020 · Douglas P. Gross, Ivan A. Steenstra, et al. · Journal of Occupational Rehabilitation · 17
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Sampling a Longer Life: Binary versus One-class classification Revisited
2017 · Colin Bellinger, Shiven Sharma, et al. · Learning with Imbalanced Domains: Theory and Applications · 17
The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies
2019 · Khanh Vu, Rebecca A. Clark, et al. · BMC Medical Informatics and Decision Making · 16
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Works count: 92
Citation count: 1,782
H-index: 20
I10-index: 31
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