484 citations · 590 across the 15 of their papers we have counts for
6 papers · 1 filter
VISU at WASSA 2023 Shared Task: Detecting Emotions in Reaction to News Stories Leveraging BERT and Stacked Embeddings
Vivek Kumar, Sushmita Singh, Prayag Tiwari
Our system, VISU, participated in the WASSA 2023 Shared Task (3) of Emotion Classification from essays written in reaction to news articles. Emotion detection from complex dialogue…
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades +2
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially pro…
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
Guojun Liang, Prayag Tiwari, Sławomir Nowaczyk +2
Graph neural networks (GNNs), especially dynamic GNNs, have become a research hotspot in spatio-temporal forecasting problems. While many dynamic graph construction methods have be…
A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease
Manish Bhatia, Balram Meena, Vipin Kumar Rathi +5
The shape of erythrocytes or red blood cells is altered in several pathological conditions. Therefore, identifying and quantifying different erythrocyte shapes can help diagnose va…
Huatuo-26M, a Large-scale Chinese Medical QA Dataset
Jianquan Li, Xidong Wang, Xiangbo Wu +6
In this paper, we release a largest ever medical Question Answering (QA) dataset with 26 million QA pairs. We benchmark many existing approaches in our dataset in terms of both ret…
A Survey on Few-Shot Class-Incremental Learning
Songsong Tian, Lusi Li, Weijun Li +3
Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for dee…