IEEE

Classification of Kidney Abnormalities in CT Images using Deep Learning

Abstract: The CT Kidney Dataset is a structured and medically significant collection of Computed Tomography (CT) scan images, curated for the i m p ro v em en t and growth of AI-predicted diagnostic ...
IEEE

Multi-Label Image Classification Based on Higher-Order Semantic Awareness Encoding

Abstract: Multi-label classification (MLC) tasks aim at assigning multiple labels to each sample and are widely used to deal with scenarios where the sample contains multiple objects or concepts.
GitHub

NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering

Prepare the following models for vector encoding: sentence-transformers/all-MiniLM-L6-v2 BAAI/bge-large-en-v1.5 openai/clip-vit-base-patch32 For embedding model ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...