AI4CITY - An automated machine learning platform for smart cities

Bibliographic Details
Main Author: Pereira, Pedro José
Publication Date: 2023
Other Authors: Gonçalves, Carlos, Nunes, Lara Lopes, Cortez, Paulo, Pilastri, André
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/87095
Summary: Nowadays, the general interest in Machine Learning (ML) based solutions is increasing. However, to develop and deploy a ML solution often requires experience and it involves developing large code scripts. In this paper, we propose AI4CITY, an automated technological platform that aims to reduce the complexity of designing ML solutions, with a particular focus on Smart Cities applications. We compare our solution with popular Automated ML (AutoML) tools (e.g., H2O, AutoGluon) and the results achieved by AI4CITY were quite interesting and competitive.
id RCAP_0f0398ccc4def68537359533dbc193e3
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/87095
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling AI4CITY - An automated machine learning platform for smart citiesautomated machine learningsmart citiessupervised learningEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaNowadays, the general interest in Machine Learning (ML) based solutions is increasing. However, to develop and deploy a ML solution often requires experience and it involves developing large code scripts. In this paper, we propose AI4CITY, an automated technological platform that aims to reduce the complexity of designing ML solutions, with a particular focus on Smart Cities applications. We compare our solution with popular Automated ML (AutoML) tools (e.g., H2O, AutoGluon) and the results achieved by AI4CITY were quite interesting and competitive.This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, and was carried out within the project ”City Catalyst - Catalisador para Cidades Sustentáveis” reference POCI/LISBOA-01-0247-FEDER-046119, co-funded by Fundo Europeu de Desenvolvimento Regional (FEDER), through Portugal 2020 (P2020).ACM PressUniversidade do MinhoPereira, Pedro JoséGonçalves, CarlosNunes, Lara LopesCortez, PauloPilastri, André2023-03-272023-03-27T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/87095engPedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, and André Pilastri. 2023. AI4CITY - An Automated Machine Learning Platform for Smart Cities. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). Association for Computing Machinery, New York, NY, USA, 886–889. https://doi.org/10.1145/3555776.3578740978145039517510.1145/3555776.3578740https://dl.acm.org/doi/10.1145/3555776.3578740info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:56:22Zoai:repositorium.sdum.uminho.pt:1822/87095Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:03:05.619996Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv AI4CITY - An automated machine learning platform for smart cities
title AI4CITY - An automated machine learning platform for smart cities
spellingShingle AI4CITY - An automated machine learning platform for smart cities
Pereira, Pedro José
automated machine learning
smart cities
supervised learning
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
title_short AI4CITY - An automated machine learning platform for smart cities
title_full AI4CITY - An automated machine learning platform for smart cities
title_fullStr AI4CITY - An automated machine learning platform for smart cities
title_full_unstemmed AI4CITY - An automated machine learning platform for smart cities
title_sort AI4CITY - An automated machine learning platform for smart cities
author Pereira, Pedro José
author_facet Pereira, Pedro José
Gonçalves, Carlos
Nunes, Lara Lopes
Cortez, Paulo
Pilastri, André
author_role author
author2 Gonçalves, Carlos
Nunes, Lara Lopes
Cortez, Paulo
Pilastri, André
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Pereira, Pedro José
Gonçalves, Carlos
Nunes, Lara Lopes
Cortez, Paulo
Pilastri, André
dc.subject.por.fl_str_mv automated machine learning
smart cities
supervised learning
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
topic automated machine learning
smart cities
supervised learning
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
description Nowadays, the general interest in Machine Learning (ML) based solutions is increasing. However, to develop and deploy a ML solution often requires experience and it involves developing large code scripts. In this paper, we propose AI4CITY, an automated technological platform that aims to reduce the complexity of designing ML solutions, with a particular focus on Smart Cities applications. We compare our solution with popular Automated ML (AutoML) tools (e.g., H2O, AutoGluon) and the results achieved by AI4CITY were quite interesting and competitive.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-27
2023-03-27T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/87095
url https://hdl.handle.net/1822/87095
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, and André Pilastri. 2023. AI4CITY - An Automated Machine Learning Platform for Smart Cities. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). Association for Computing Machinery, New York, NY, USA, 886–889. https://doi.org/10.1145/3555776.3578740
9781450395175
10.1145/3555776.3578740
https://dl.acm.org/doi/10.1145/3555776.3578740
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ACM Press
publisher.none.fl_str_mv ACM Press
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595069274259456

Similar Items