Vu-Linh Nguyen | DeepAI

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∙ 06/10/2023

Probabilistic Multi-Dimensional Classification

Multi-dimensional classification (MDC) can be employed in a range of app...

0 Vu-Linh Nguyen, et al. ∙

∙ 10/16/2022

Skeptical inferences in multi-label ranking with sets of probabilities

In this paper, we consider the problem of making skeptical inferences fo...

0 Yonatan Carlos Carranza Alarcón, et al. ∙

∙ 06/23/2020

Learning Gradient Boosted Multi-label Classification Rules

In multi-label classification, where the evaluation of predictions is le...

0 Michael Rapp, et al. ∙

∙ 06/21/2020

On Aggregation in Ensembles of Multilabel Classifiers

While a variety of ensemble methods for multilabel classification have b...

0 Vu-Linh Nguyen, et al. ∙

∙ 08/31/2019

Epistemic Uncertainty Sampling

Various strategies for active learning have been proposed in the machine...

0 Vu-Linh Nguyen, et al. ∙

∙ 04/19/2019

Reliable Multi-label Classification: Prediction with Partial Abstention

In contrast to conventional (single-label) classification, the setting o...

0 Vu-Linh Nguyen, et al. ∙

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