Habrard, A.[Amaury]
* 2008: Learning probabilistic models of tree edit distance
* 2008: Melody Recognition with Learned Edit Distances
* 2013: Unsupervised Visual Domain Adaptation Using Subspace Alignment
* 2014: Majority Vote of Diverse Classifiers for Late Fusion
* 2014: Modeling Perceptual Color Differences by Local Metric Learning
* 2018: Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees
* 2019: Deep multi-Wasserstein unsupervised domain adaptation
* 2020: Metric Learning from Imbalanced Data with Generalization Guarantees
* 2022: Improving Few-Shot Learning Through Multi-task Representation Learning Theory
* 2022: MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data
* 2023: Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient?
11 for Habrard, A.
Habring, A.[Andreas]
* 2024: Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
Habrovsky, R.[Richard]
* 2015: High-resolution nowcasting and its application in road maintenance: experiences from the INCA Central European area project
Includes: Habrovsky, R.[Richard] Habrovský, R.[Richard]