Zobrazeno 1 - 10
of 15
pro vyhledávání: '"André Luiz Pilastri"'
Autor:
Gabriel José Dias Coelho, Eduardo C. Nunes, Andre L. Ferreira, Luís Miguel Matos, André Luiz Pilastri, Pedro José Pereira, Alexandrine Ribeiro, Paulo Cortez
Publikováno v:
KES
Current developments on self-driving cars has led to an increasing interest on autonomous shared taxicabs. While most self-driving car technologies focus on the outside environment, there is also a need to provide in-vehicle intelligence (e.g., detec
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030862299
EPIA
EPIA
The Industry 4.0 revolution is impacting manufacturing companies, which need to adopt more data intelligence processes in order to compete in the markets they operate. In particular, quality control is a key manufacturing process that has been addres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f5fc7f2bd5af1bc6fff7bd9883aec9
https://hdl.handle.net/1822/73976
https://hdl.handle.net/1822/73976
Publikováno v:
IJCNN
This paper presents a benchmark of supervised Automated Machine Learning (AutoML) tools. Firstly, we an- alyze the characteristics of eight recent open-source AutoML tools (Auto-Keras, Auto-PyTorch, Auto-Sklearn, AutoGluon, H2O AutoML, rminer, TPOT a
Autor:
Andre L. Ferreira, Pedro José Pereira, Gabriel José Dias Coelho, André Luiz Pilastri, Eduardo C. Nunes, Paulo Cortez, Luís Miguel Matos, Alexandrine Ribeiro
Publikováno v:
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.337-348, ⟨10.1007/978-3-030-79150-6_27⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.337-348, ⟨10.1007/978-3-030-79150-6_27⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
Recently, there have been advances in using unsupervised learning methods for Acoustic Anomaly Detection (AAD). In this paper, we propose an improved version of two deep AutoEncoders (AE) for unsupervised AAD for six types of working machines, namely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f54c3f8fd09f698fe57108689d96f764
https://hdl.handle.net/1822/73560
https://hdl.handle.net/1822/73560
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2021 ISBN: 9783030916077
In this paper, we explore eight Machine Learning (ML) approaches (binary and one-class) to predict the quality of in-car displays, measured using Black Uniformity (BU) tests. During production, the industrial manufacturer routinely executes intermedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0404cc87e8a08ed01e0e327b7aed6617
https://doi.org/10.1007/978-3-030-91608-4_1
https://doi.org/10.1007/978-3-030-91608-4_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030711573
ICAART (Revised Selected Papers)
ICAART (Revised Selected Papers)
Due to the growth of data and wide spread usage of Machine Learning (ML) by non-experts, automation and scalability are becoming key issues for ML. This paper presents an automated and scalable framework for ML that requires minimum human input. We d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d3c414cbb07dcac46698769f8538d0b
https://hdl.handle.net/1822/74150
https://hdl.handle.net/1822/74150
Autor:
Pedro Rocha, Marcelo Alves, Paulo Cortez, Arthur Matta, André Luiz Pilastri, Pedro José Pereira, Hugo Carvalho, Rui Ribeiro
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2021 ISBN: 9783030916077
In this paper, we propose an Intelligent Decision Support System (IDSS) that combines prediction and optimization for production planning. We worked with a company that provides software for the garments Industry and that had access to real-world dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9576d8a86080279fdfbd9ee07ab92eb
https://doi.org/10.1007/978-3-030-91608-4_37
https://doi.org/10.1007/978-3-030-91608-4_37
Autor:
Guilherme Moreira, André Luiz Pilastri, Luís Miguel Matos, Diogo Aires Gonçalves Ribeiro, Paulo Cortez
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869595
ICCSA (2)
ICCSA (2)
Within the context of Industry 4.0, quality assessment pro- cedures using data-driven techniques are becoming more critical due to the generation of massive amounts of production data. In this paper, we address the detection of abnormal screw tighten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e16753d4a48f4f087b0b1c36fe47082
https://doi.org/10.1007/978-3-030-86960-1_34
https://doi.org/10.1007/978-3-030-86960-1_34
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2021 ISBN: 9783030916077
Predictive maintenance is a key area that is benefiting from the Industry 4.0 advent. Recently, there have been several attempts to use Machine Learning (ML) in order to optimize the maintenance of equipments and their repairs, with most of these app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1842b18fb5b4c2a4d386179d9aaa8cb
https://doi.org/10.1007/978-3-030-91608-4_26
https://doi.org/10.1007/978-3-030-91608-4_26
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Recently, the term “Industry 4.0” has emerged to characterize several Information Technology and Communication (ICT) adoptions in production processes (e.g., Internet-of-Things, implementation of digital production support information technologie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e216c0e9bc044466989be9a2ad2ae3e