Search Results for author:
Found 6 papers, 0 papers with code
Unimodal Intermediate Training for Multimodal Meme Sentiment Classification
Internet Memes remain a challenging form of user-generated content for automated sentiment classification.
Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding
Internet memes are characterised by the interspersing of text amongst visual elements.
Exploring the Impact of Noise and Degradations on Heart Sound Classification Models
We used this dataset to investigate the impact of noise and degradation in heart sound recordings on the performance of different classification models.
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
We further demonstrate that by using hierarchical relationships from our external knowledge base, we can locate new unseen classes outside the CNN training set in our embeddings space, based on visual feature activations.
Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection
The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations, leading to the over diagnosis and treatment of non-clinically important disease.
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation
We also discuss the significantcomputational time advantage of LRP (1-2s) over LIME (22s) and SHAP (108s), and thus its poten-tial for real time application scenarios.
