Artificial intelligence as a service: classification and research directions

S Lins, KD Pandl, H Teigeler, S Thiebes… - Business & Information …, 2021 - Springer
Artificial Intelligence (AI) is undoubtedly one of the most actively debated technologies,
providing auspicious opportunities to contribute to individuals' well-being, the success and …

Performance enhancement of artificial intelligence: A survey

M Krichen, MS Abdalzaher - Journal of Network and Computer Applications, 2024 - Elsevier
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

Multiobjective multifactorial optimization in evolutionary multitasking

A Gupta, YS Ong, L Feng… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In recent decades, the field of multiobjective optimization has attracted considerable interest
among evolutionary computation researchers. One of the main features that makes …

Local receptive fields based extreme learning machine

GB Huang, Z Bai, LLC Kasun… - IEEE Computational …, 2015 - ieeexplore.ieee.org
Extreme learning machine (ELM), which was originally proposed for" generalized" single-
hidden layer feedforward neural networks (SLFNs), provides efficient unified learning …

Drivers and inhibitors for organizations' intention to adopt artificial intelligence as a service

KD Pandl, H Teigeler, S Lins, S Thiebes… - 2021 - scholarspace.manoa.hawaii.edu
The adoption of artificial intelligence promises tremendous economic benefits for
organizations. Yet, many organizations struggle to unlock the full potential of this technology …

Evolutionary ensemble learning

MI Heywood - Handbook of Evolutionary Machine Learning, 2023 - Springer
Abstract Evolutionary Ensemble Learning (EEL) provides a general approach for scaling
evolutionary learning algorithms to increasingly complex tasks. This is generally achieved …

Data dieting in gan training

J Toutouh, E Hemberg, UM O'Reilly - Deep Neural Evolution: Deep …, 2020 - Springer
Abstract We investigate training Generative Adversarial Networks, GANs, with less data.
Subsets of the training dataset can express empirical sample diversity while reducing …

A system for accessible artificial intelligence

RS Olson, M Sipper, WL Cava, S Tartarone… - … programming theory and …, 2018 - Springer
While artificial intelligence (AI) has become widespread, many commercial AI systems are
not yet accessible to individual researchers nor the general public due to the deep …

Evolving simple solutions to the CIFAR-10 benchmark using tangled program graphs

RJ Smith, R Amaral, MI Heywood - 2021 IEEE Congress on …, 2021 - ieeexplore.ieee.org
The goal of the CIFAR-10 benchmark is recast from the perspective of discovering light-
weight as well as accurate solutions. Specifically, the image data, on which CIFAR-10 is …

An evolutionary online framework for MOOC performance using EEG data

A Tahmassebi, AH Gandomi… - 2018 IEEE Congress …, 2018 - ieeexplore.ieee.org
Massive Online Open Course (MOOC) is a scalable, free or affordable online course which
emerged as one of the fastest growing distance education platforms in the past decade. One …