Academic Articles & Research Papers

Multi-label Contextual Operator Inference in Knowledge Acquisition for Building Generalization: A Multi-modal Learning Approach.

An Improved Supervised-LDA Text Model and Its Application

Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a ...

Multi-label Patent Classification Based on Text and Historical Data

Patent classification,which is used to assign multiple international patent classification(IPC) codes to a given paten,is a very important task int the field of patent data mining.In recent years,many studies on this task focus on mining pa...

Multi-label classification of fundus images based on graph convolutional network

Abstract Background Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal diseases, but...

Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data

Accurately monitoring disaster effects is a crucial task in relief efforts (e.g. typhoon rescue). Social media data plays a vital role in disaster management, while deep learning-based methods gain more attention in typhoon disaster researc...

PCPAm - A dataset of histopathological images of penile cancer for classification tasksZenodo

Penile cancer has an incidence strongly linked to sociocultural factors, being more common in underdeveloped countries like Brazil, where it represents approximately 2% of cancers affecting men. This dataset was created to address the scarc...