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Publications by Guillaume Metzler
Learning Maximum Excluding Ellipsoids From Imbalanced Data With Theoretical Guarantees
Pattern Recognition Letters
Signal Processing
Computer Vision
Pattern Recognition
Artificial Intelligence
Software
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Learning From Imbalanced Data in Classification
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Learning From Imbalanced Data: Open Challenges and Future Directions
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A Case Study for Learning From Imbalanced Data Sets
Lecture Notes in Computer Science
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Theoretical Computer Science
Learning Classifiers From Imbalanced Data Based on Biased Minimax Probability Machine
Multiset Feature Learning for Highly Imbalanced Data Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A Supervised Learning Approach for Imbalanced Data Sets
Proceedings - International Conference on Pattern Recognition
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Learning to Improve Medical Decision Making From Imbalanced Data Without a Priori Cost
BMC Medical Informatics and Decision Making
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Improved Complexity for Maximum Volume Inscribed Ellipsoids
SIAM Journal on Optimization
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Data Modeling Strategies for Imbalanced Learning in Visual Search
