Abstract: This paper proposed to use the Biased Random-Key Genetic Algorithm (BRKGA) to optimize the main hyperparameters of a Deep Feedforward Neural Network (DFNN). The proposed methodology was ...

Abstract: Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative ...

This repo contains code examples of how to use cleanlab with specific real-world models/datasets, how its underlying algorithms work, how to get better results via advanced functionality, and how to ...

Due to the ever-increasing volume of opinionated content on social media, there is a pressing need for a highly effective process to perform sentiment analysis (NLP) successfully. But, methods ...

In today’s digital landscape, application security isn’t just an afterthought — it’s a fundamental requirement. As C# and ASP.NET developers, we’re responsible for protecting sensitive user data, ...

This example jupyter notebook on Google Colab provides a walkthrough of ESCHR analysis using an example scRNA-seq dataset. If you launch the notebook in Google Colab ...

ABSTRACT: Traditional methods for selecting models in experimental data analysis are susceptible to researcher bias, hindering exploration of alternative explanations and potentially leading to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Data, data, data! Just like any other sector in the ever-evolving world of human resources, data-driven decisions are becoming more critical than ever. To harness the power of HR data, it’s essential ...

“Capabilities like AutoGen are poised to fundamentally transform and extend what large language models are capable of. This is one of the most exciting developments I have seen in AI recently.” Doug ...