This is the repository of the paper "Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning". For a high-level overview, check ...

Introduction: Previous studies have examined the prediction of insulin resistance and type 2 diabetes (T2D) using plasma or saliva omics, but none have combined metabolomics and proteomics from ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...

Going out to your car and finding a leak can make you worry about making it out of the driveway, let alone to the nearest auto repair shop. Depending on the severity of the leak, you may need to tow ...

An oscillating multi-tool might just be the most helpful tool that you didn’t know existed. It’s a small handheld device with an oscillating head, which moves side to side while oscillating around a ...

However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early ...

Artificial intelligence has progressed significantly, beginning with Large Language Models (LLMs) that transformed text generation and comprehension. LLM chatbots built on this technology to automate ...

Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...