Vu-Linh Nguyen

Yang Yang

Cassio de Campos

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Inference Problem in Probabilistic Multi-label Classification.

[BibT_eX]

[DOI]

Xuan-Truong Hoang

Van-Nam Huynh

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023

Learning Sets of Probabilities Through Ensemble Methods.

[BibT_eX]

[DOI]

Haifei Zhang

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022

How to measure uncertainty in uncertainty sampling for active learning.

[BibT_eX]

[DOI]

Mohammad Hossein Shaker

Yonatan Carlos Carranza Alarcón

Mach. Learn., 2022

Skeptical inferences in multi-label ranking with sets of probabilities.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Racing trees to query partial data.

[BibT_eX]

[DOI]

Soft Comput., 2021

Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

2020

Rule-Based Multi-label Classification: Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Rules and Reasoning - 4th International Joint Conference, 2020

Learning Gradient Boosted Multi-label Classification Rules.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

On Aggregation in Ensembles of Multilabel Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 23rd International Conference, 2020

Reliable Multilabel Classification: Prediction with Partial Abstention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reliable Multi-label Classification: Prediction with Partial Abstention.

[BibT_eX]

[DOI]

CoRR, 2019

Epistemic Uncertainty Sampling.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

Imprecision in machine learning problems. (Imprécision en apprentissage statistique).

[BibT_eX]

[DOI]

PhD thesis, 2018

Partial data querying through racing algorithms.

[BibT_eX]

[DOI]

Marie-Hélène Masson

Int. J. Approx. Reason., 2018

Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

K-Nearest Neighbour Classification for Interval-Valued Data.

[BibT_eX]

[DOI]

Marie-Hélène Masson

Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Querying Partially Labelled Data to Improve a K-nn Classifier.

[BibT_eX]

[DOI]

Marie-Hélène Masson

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market.

[BibT_eX]

[DOI]