Conference

Large Language Models-Based Local Explanations of Text Classifiers

Jan 1, 2024

A Clustering-based Approach for Interpreting Black-box Models

Jan 1, 2024

Towards reliable machine learning

Jan 1, 2023

Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss

Jan 1, 2023

Outlier explanation through masking models

Jan 1, 2022

Audio super-resolution via vision transformer

Jan 1, 2022

A Semi-automatic Data Generator for Query Answering

Jan 1, 2022

Local interpretable classifier explanations with self-generated semantic features

Jan 1, 2021

Finding local explanations through masking models

Jan 1, 2021

Stream analysis for detecting stuttering episodes

Jan 1, 2019