Posts by Collection

Interpretable Hybrid AI with Uncertainty Measure

Funding: UJM New Lecture Fondation - 5k€
Period: From January 2025 to December 2025

Cautious Random Forests: a New Decision Strategy and some Experiments

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2021), 2021

[Paper Link]  [PDF]

Explaining cautious random forests via counterfactuals

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in International Conference on Soft Methods in Probability and Statistics (SMPS 2022), 2022

[Paper Link]  [PDF]  [Code]

Cautious weighted random forests

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in Expert Systems with Applications, 2023

[Paper Link]  [PDF]  [Code]

Cautious decision-making for tree ensembles

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2023), 2023

[Paper Link]  [PDF]  [Code]

Learning Sets of Probabilities Through Ensemble Methods

Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke
Published in European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2023), 2023

[Paper Link]  [PDF]  [Code]

SHADED: Shapley Value-Based Deceptive Evidence Detection in Belief Functions

Haifei Zhang
Published in International Conference on Belief Functions (BELIEF 2024), 2024

[Paper Link]  [PDF]  [Code]

Credal ensembling in multi-class classification

Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke
Published in Expert Systems with Applications, 2025

[Paper Link]  [PDF]  [Code]

Cautious classifier ensembles for set-valued decision-making

Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
Published in International Journal of Approximate Reasoning, 2025

[Paper Link]  [PDF]  [Code]

Efficient and Effective Counterfactual Explanations for Random Forests

Haifei Zhang, Jinfeng Zhong
Published in Expert Systems With Applications, 2025

[Paper Link]  [PDF]  [Code]

Cautious Random Forests: a new Decision Strategy and some Experiments

Published: July 09, 2021

Explaining cautious random forests via counterfactuals

Published: September 14, 2022

Cautious decision-making for tree ensembles

Published: September 20, 2023

Explainable Cautious Classifiers

Published: March 29, 2024

SHADED: Shapley Value-Based Deceptive Evidence Detection in Belief Functions

Published: September 04, 2024

Explainable Cautious Classifiers and Trustworthy AI

Published: October 17, 2024

Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification

Published: February 18, 2025

Teaching experience 1

Undergraduate course, University 1, Department, 2014

Teaching experience 2

Workshop, University 1, Department, 2015