1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection
Ximing Wen, Rezvaneh Rezapour
Sarcasm detection, with its figurative nature, poses unique challenges for affective systems designed to perform sentiment analysis. While these systems typically perform well at i…
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
Ximing Wen
Pretrained transformer-based Language Models (LMs) are well-known for their ability to achieve significant improvement on NLP tasks, but their black-box nature, which leads to a la…
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
Ximing Wen, Wenjuan Tan, Rosina O. Weber
Pretrained transformer-based Language Models (LMs) are well-known for their ability to achieve significant improvement on text classification tasks with their powerful word embeddi…
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data
Ximing Wen, Rosina O. Weber, Anik Sen +9
Point-of-Care Ultrasound (POCUS) is the practice of clinicians conducting and interpreting ultrasound scans right at the patient's bedside. However, the expertise needed to interpr…
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure
Darryl Hannan, Steven C. Nesbit, Ximing Wen +10
Detecting elevated intracranial pressure (ICP) is crucial in diagnosing and managing various neurological conditions. These fluctuations in pressure are transmitted to the optic ne…