Contrastive variational auto-encoder driven convergence guidance in evolutionary multitasking
R Wang, X Feng, H Yu - Applied Soft Computing, 2024 - Elsevier
Abstract Knowledge transfer is at the core of the Evolutionary Multitasking (EMT) problem, as
it exploits the interaction of inter-task common knowledge to accelerate task convergence …
it exploits the interaction of inter-task common knowledge to accelerate task convergence …
[HTML][HTML] AutoOC: A Python module for automated multi-objective One-Class Classification
L Ferreira, P Cortez - Software Impacts, 2023 - Elsevier
AutoOC is an open-source Python module to efficiently automate the selection and
hyperparameter tuning of quality OCC (One-Class Classification) learners. By using a GE …
hyperparameter tuning of quality OCC (One-Class Classification) learners. By using a GE …
A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities
Abstract Most Smart Cities data come from multiple related sensors. Within this context,
multivariate Automated Time Series Forecasting (AutoTSF) tools are valuable for providing …
multivariate Automated Time Series Forecasting (AutoTSF) tools are valuable for providing …
An automated and efficient Machine Learning framework for One-Class Classification tasks
LFF Ferreira - 2024 - repositorium.uminho.pt
The present era of Machine Learning (ML) is defined by the availability of copious amounts
of data, powerful algorithms, and high-speed processing machines that enable accurate …
of data, powerful algorithms, and high-speed processing machines that enable accurate …
Development of a disruption and defect prediction system for the wood-based panel industry
CRN Afonso - 2024 - repositorium.sdum.uminho.pt
The advent of Industry 4.0 has triggered an Information Technology revolution within the
manufacturing sector. Through the strategic integration of Internet of Things within factories …
manufacturing sector. Through the strategic integration of Internet of Things within factories …
An Automated and Efficient Machine Learning Framework for One-Class Classification Tasks
LF de Faria Ferreira - 2023 - search.proquest.com
The present era of Machine Learning (ML) is defined by the availability of copious amounts
of data, powerful algorithms, and high-speed processing machines that enable accurate …
of data, powerful algorithms, and high-speed processing machines that enable accurate …