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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

The Journal of artificial intelligence research, 2018-04, Vol.61, p.863-905

2018

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Global Perspectives in Ocular Oncology

1, 2023

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Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence

IEEE transactions on knowledge and data engineering, 2023-02, Vol.35 (2), p.1817-1830

2023

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Exploring and exploiting disease interactions from multi-relational gene and phenotype networks

PloS one, 2011-07, Vol.6 (7), p.e22670-e22670

2011

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On the use of real-world datasets for reaction yield prediction

Chemical science (Cambridge), 2023-05, Vol.14 (19), p.4997-55

2023

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DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6390-6404

2023

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SMOTE: Synthetic Minority Over-sampling Technique

The Journal of artificial intelligence research, 2002-01, Vol.16, p.321-357

2002

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Predicting terrorist attacks in the United States using localized news data

PloS one, 2022-06, Vol.17 (6), p.e0270681

2022

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Evaluation and Analysis of Elastic and Mechanical Characteristics of Hybrid Composite Incorporating Banana Fiber, Kenaf Fiber, and Nano-CaCO3

Arabian journal for science and engineering (2011), 2024, Vol.49 (11), p.15419-15437

2024

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Social network structure is predictive of health and wellness

PloS one, 2019-06, Vol.14 (6), p.e0217264-e0217264

2019

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SVMs Modeling for Highly Imbalanced Classification

IEEE transactions on cybernetics, 2009-02, Vol.39 (1), p.281-288

2009

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Examining the weekend effect across ICU performance metrics

Critical care (London, England), 2019-06, Vol.23 (1), p.207-207, Article 207

2019

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Deviations from normal bedtimes are associated with short-term increases in resting heart rate

NPJ digital medicine, 2020-03, Vol.3 (1), p.39-39, Article 39

2020

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Fault detection in rotating elements by using fuzzy integrated improved local binary pattern method

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022-12, Vol.44 (12), Article 596

2022

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A network's gender composition and communication pattern predict women's leadership success

Proceedings of the National Academy of Sciences - PNAS, 2019-02, Vol.116 (6), p.2033-2038

2019

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Introduction to the Special Track on Artificial Intelligence and COVID-19

The Journal of artificial intelligence research, 2023-01, Vol.76, p.523-525

2023

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SMOTEBoost: Improving prediction of the Minority class in boosting

Lecture notes in computer science, 2003, p.107-119

2003

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Scanning Electron Microscopy Analysis of Kenaf Coir Epoxy Reinforced Carbon Nanotubes Nanoparticles Hybrid Composite

Science of advanced materials, 2024-03, Vol.16 (3), p.299-307

2024

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Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier

Neurocomputing (Amsterdam), 2017-06, Vol.241, p.204-214

2017

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Automatically countering imbalance and its empirical relationship to cost

Data mining and knowledge discovery, 2008-10, Vol.17 (2), p.225-252

2008

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Multi-load AGVs scheduling by application of modified memetic particle swarm optimization algorithm

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2018-09, Vol.40 (9), p.1-13, Article 436

2018

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Rs12970134 near MC4R is associated with appetite and beverage intake in overweight and obese children: A family-based association study in Chinese population

PloS one, 2017-05, Vol.12 (5), p.e0177983-e0177983

2017

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Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework

Journal of general internal medicine, 2013-09, Vol.28 (Suppl 3), p.660-665

2013

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Recipe Recommendation With Hierarchical Graph Attention Network

Frontiers in big data, 2022-01, Vol.4, p.778417-778417

2022

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Effect of nature-inspired algorithms and hybrid dispatching rules on the performance of automatic guided vehicles in the flexible manufacturing system

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019-10, Vol.41 (10), p.1-17, Article 391

2019

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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Global Perspectives in Ocular Oncology

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence

Exploring and exploiting disease interactions from multi-relational gene and phenotype networks

On the use of real-world datasets for reaction yield prediction

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

SMOTE: Synthetic Minority Over-sampling Technique

Predicting terrorist attacks in the United States using localized news data

Evaluation and Analysis of Elastic and Mechanical Characteristics of Hybrid Composite Incorporating Banana Fiber, Kenaf Fiber, and Nano-CaCO3

Social network structure is predictive of health and wellness

SVMs Modeling for Highly Imbalanced Classification

Examining the weekend effect across ICU performance metrics

Deviations from normal bedtimes are associated with short-term increases in resting heart rate

Fault detection in rotating elements by using fuzzy integrated improved local binary pattern method

A network's gender composition and communication pattern predict women's leadership success

Introduction to the Special Track on Artificial Intelligence and COVID-19

SMOTEBoost: Improving prediction of the Minority class in boosting

Scanning Electron Microscopy Analysis of Kenaf Coir Epoxy Reinforced Carbon Nanotubes Nanoparticles Hybrid Composite

Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier

Automatically countering imbalance and its empirical relationship to cost

Multi-load AGVs scheduling by application of modified memetic particle swarm optimization algorithm

Rs12970134 near MC4R is associated with appetite and beverage intake in overweight and obese children: A family-based association study in Chinese population

Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework

Recipe Recommendation With Hierarchical Graph Attention Network

Effect of nature-inspired algorithms and hybrid dispatching rules on the performance of automatic guided vehicles in the flexible manufacturing system

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