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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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Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains

The Journal of artificial intelligence research, 2005-01, Vol.23, p.331-366

2005

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Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery

Journal of biomedical informatics, 2009-04, Vol.42 (2), p.356-364

2009

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Classification and knowledge discovery in protein databases

Journal of biomedical informatics, 2004-08, Vol.37 (4), p.224-239

2004

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Distributed Pasting of Small Votes

Lecture notes in computer science, 2002, p.52-61

2002

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SVMs Modeling for Highly Imbalanced Classification

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2009-02, Vol.39 (1), p.281-288

2009

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IEEE_Xplore

SMOTEBoost: Improving Prediction of the Minority Class in Boosting

Knowledge Discovery in Databases: PKDD 2003, p.107-119

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Link Prediction and Recommendation across Heterogeneous Social Networks

2012 IEEE 12th International Conference on Data Mining, 2012, p.181-190

2012

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IEEE_Xplore

Feature Selection for Brain-Computer Interfaces

New Frontiers in Applied Data Mining, p.106-117

Koprinska, Irena

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Decision tree learning on very large data sets

Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 1998, Vol.3, p.2579-2584 vol.3

1998

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IEEE_Xplore

Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams

New Frontiers in Applied Data Mining, p.53-75

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Multi-relational Link Prediction in Heterogeneous Information Networks

2011 International Conference on Advances in Social Networks Analysis and Mining, 2011, p.281-288

2011

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IEEE_Xplore

Predicting Links in Multi-relational and Heterogeneous Networks

2012 IEEE 12th International Conference on Data Mining, 2012, p.755-764

2012

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IEEE_Xplore

Link Prediction: Fair and Effective Evaluation

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012, p.376-383

2012

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IEEE_Xplore

A Method for Discovering Novel Classes in Tabular Data

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.265-274

2022

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Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.365-372

2022

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An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.217-224

2022

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Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.392-397

2022

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VREN: Volleyball Rally Dataset with Expression Notation Language

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.337-346

2022

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Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.275-282

2022

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Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.79-86

2022

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Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains

New Frontiers in Applied Data Mining, p.40-52

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Multi-Sentence Matching via Exploiting List-level Semantics Expansion

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.249-256

2022

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Language Style Matters: Personality Prediction from Textual Styles Learning

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.141-148

2022

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Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification

2022 IEEE International Conference on Knowledge Graph (ICKG), 2022, p.210-216

2022

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SMOTE: Synthetic Minority Over-sampling Technique

Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains

Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery

Classification and knowledge discovery in protein databases

Distributed Pasting of Small Votes

SVMs Modeling for Highly Imbalanced Classification

SMOTEBoost: Improving Prediction of the Minority Class in Boosting

Link Prediction and Recommendation across Heterogeneous Social Networks

Feature Selection for Brain-Computer Interfaces

Decision tree learning on very large data sets

Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams

Multi-relational Link Prediction in Heterogeneous Information Networks

Predicting Links in Multi-relational and Heterogeneous Networks

Link Prediction: Fair and Effective Evaluation

A Method for Discovering Novel Classes in Tabular Data

Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data

An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory

Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning

VREN: Volleyball Rally Dataset with Expression Notation Language

Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection

Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case

Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains

Multi-Sentence Matching via Exploiting List-level Semantics Expansion

Language Style Matters: Personality Prediction from Textual Styles Learning

Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification

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