The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the ...

A comprehensive collection of counterfactual explanation algorithms for time series classification with PyTorch implementations. This library provides state-of-the-art methods for generating and ...

In the field of evolutionary computation, it is common to compare different algorithms using a large test set, especially when the test involves function optimization [GW93]. However, the ...

cAustralian Red Cross Lifeblood Research and Development, Brisbane, Queensland, Australia dResearch and Development, Australian Red Cross Blood Service, Sydney, New South Wales, Australia eOffice of ...

This repository contains the implementation of RaKUn 2.0, a very fast keyphrase extraction algorithm suitable for large-scale keyphrase retrieval. Running LLMs on massive corpora remains somewhat ...

Cow D lived on a dairy farm in New Zealand. The animal looked like the typical black-and-white cow farmers raise for milk, except for one thing: Researchers had outfitted Cow D with an artificial ...

Cow D lived on a dairy farm in New Zealand. The animal looked like the typical black-and-white cow farmers raise for milk, except for one thing: Researchers had outfitted Cow D with an artificial ...

Department of Optics and Photonics, National Central University, Taoyuan 320371, Taiwan Optical Science Center, National Central University, Taoyuan 320371, Taiwan ...

Generative AI models use prompts to guide content generation and use transfer learning to become more proficient. Early genAI models were built with specific data types and applications in mind. For ...