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Colin Bellinger
Titolo
Citata da
Citata da
Anno
A systematic review of data mining and machine learning for air pollution epidemiology
C Bellinger, MS Mohomed Jabbar, O Zaļane, A Osornio-Vargas
BMC public health 17, 1-19, 2017
2432017
One-class versus binary classification: Which and when?
C Bellinger, S Sharma, N Japkowicz
2012 11th international conference on machine learning and applications 2 …, 2012
1112012
Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance
S Sharma, C Bellinger, B Krawczyk, O Zaiane, N Japkowicz
2018 IEEE international conference on data mining (ICDM), 447-456, 2018
992018
Roadmap on machine learning in electronic structure
HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ...
Electronic Structure 4 (2), 023004, 2022
822022
Manifold-based synthetic oversampling with manifold conformance estimation
C Bellinger, C Drummond, N Japkowicz
Machine Learning 107, 605-637, 2018
662018
Smotefuna: Synthetic minority over-sampling technique based on furthest neighbour algorithm
AS Tarawneh, ABA Hassanat, K Almohammadi, D Chetverikov, ...
IEEE Access 8, 59069-59082, 2020
582020
Framework for extreme imbalance classification: SWIM—sampling with the majority class
C Bellinger, S Sharma, N Japkowicz, OR Zaļane
Knowledge and Information Systems 62, 841-866, 2020
482020
Anomaly detection in gamma ray spectra: A machine learning perspective
S Sharma, C Bellinger, N Japkowicz, R Berg, K Ungar
2012 IEEE symposium on computational intelligence for security and defence …, 2012
442012
Synthetic oversampling for advanced radioactive threat detection
C Bellinger, N Japkowicz, C Drummond
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
402015
Beyond the boundaries of smote: A framework for manifold-based synthetically oversampling
C Bellinger, C Drummond, N Japkowicz
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
342016
Active learning for one-class classification
V Barnabé-Lortie, C Bellinger, N Japkowicz
2015 IEEE 14th international conference on machine learning and applications …, 2015
332015
Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes
J Serrano-Lomelin, CC Nielsen, MSM Jabbar, O Wine, C Bellinger, ...
Environment international 131, 104972, 2019
272019
Sampling a longer life: Binary versus one-class classification revisited
C Bellinger, S Sharma, OR Zaıane, N Japkowicz
First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017
272017
Explainable image analysis for decision support in medical healthcare
R Corizzo, Y Dauphin, C Bellinger, E Zdravevski, N Japkowicz
2021 IEEE international conference on big data (big data), 4667-4674, 2021
182021
Undersampling with support vectors for multi-class imbalanced data classification
B Krawczyk, C Bellinger, R Corizzo, N Japkowicz
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
172021
Active Measure Reinforcement Learning for Observation Cost Minimization.
C Bellinger, R Coles, M Crowley, I Tamblyn
Canadian Conference on AI, 2021
172021
Multi-label classification of anemia patients
C Bellinger, A Amid, N Japkowicz, H Victor
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
162015
Clustering based one-class classification for compliance verification of the comprehensive nuclear-test-ban treaty
S Sharma, C Bellinger, N Japkowicz
Advances in Artificial Intelligence: 25th Canadian Conference on Artificial …, 2012
162012
Calibrated resampling for imbalanced and long-tails in deep learning
C Bellinger, R Corizzo, N Japkowicz
Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021
152021
Remix: Calibrated resampling for class imbalance in deep learning
C Bellinger, R Corizzo, N Japkowicz
arXiv preprint arXiv:2012.02312, 2020
152020
Il sistema al momento non puņ eseguire l'operazione. Riprova pił tardi.
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