Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
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 ...
IEEE

Rethinking Sleep Staging: Tapping the Potential of Novel Label Encoding Beyond Network Designs

Abstract: Sleep staging is an essential step in sleep quality assessment and sleep disorder diagnosis. However, most neural network approaches to automatic sleep staging have focused on improving ...