Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network
This study aims to develop an automatic short-answer grading system. The focus is on achieving few-shot learning in short-answer grading, tackling the scarcity of labeled data.
Chen, Zong-Shun +2 more
core
Enhancing single shot unsupervised domain adaptation for inter-camera person re-identification. [PDF]
Vidhyalakshmi MK +4 more
europepmc +1 more source
Learning semantic similarity from sentence pairs using hybrid features centric approach and explainable siamese neural networks. [PDF]
Zhao W, Hu C.
europepmc +1 more source
Boosting the Diversity of a Similarity-Aware Genetic Algorithm Using a Siamese Network for Optimized S-Box Generation. [PDF]
Khaja IA, Ahmad M, Maghrabi LA.
europepmc +1 more source
Adaptive Template Update and Re-Detection Network Based on Tracking Confidence. [PDF]
Wu W, Ding Y, Miao K.
europepmc +1 more source
A generalizable eye disease detection method based on Zero-Shot Learning. [PDF]
Pan C +11 more
europepmc +1 more source
Enhanced cattle identification using Siamese network and MobileViT with EMA attention. [PDF]
Han M +5 more
europepmc +1 more source
gPPIpred: A User-Friendly PPI Predictor Based on Protein Molecular Graphs. [PDF]
Matiolli CC, Marques J, Abreu IA.
europepmc +1 more source
SiaCon-DetNet with HySHO: a cutting-edge transformer-based deep learning framework for emotion-aware facial recognition. [PDF]
M S, M U, K T, V D, C M.
europepmc +1 more source

