61
TITLE: K-means clustering combined with principal component analysis for material profiling in automotive supply chains
AUTHORS: Goncalves, JNC; Cortez, P; Carvalho, MS;
PUBLISHED: 2021, SOURCE: EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, VOLUME: 15, ISSUE: 2
INDEXED IN: Scopus WOS
IN MY: ORCID
62
TITLE: Author placement in Computer Science: a study based on the careers of ACM Fellows  Full Text
AUTHORS: Fernandes, JM; Costa, Antonio ; Cortez, P;
PUBLISHED: 2021, SOURCE: SCIENTOMETRICS, VOLUME: 127, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 3
IN MY: ORCID
63
TITLE: Business analytics in Industry 4.0: A systematic review
AUTHORS: Silva, AJ ; Cortez, P; Pereira, C; Pilastri, A;
PUBLISHED: 2021, SOURCE: EXPERT SYSTEMS, VOLUME: 38, ISSUE: 7
INDEXED IN: Scopus WOS CrossRef: 25
IN MY: ORCID
64
TITLE: Antimicrobial profile of a dental implant abutment coating to prevent adhesion and migration of bacteria and screw loosening  Full Text
AUTHORS: Rodrigues, MA; Cortez, AR; Cortez, J; Gobbo, P; Lepicka, M; Barros Silva, S; Freitas, PP; Lopes, MA ; Joaquim Mendes ;
PUBLISHED: 2021, SOURCE: DENTAL MATERIALS, VOLUME: 37, ISSUE: 10
INDEXED IN: Scopus WOS CrossRef: 1
65
TITLE: Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry
AUTHORS: Silva, N; Barros, J; Santos, MY; Costa, C; Cortez, P; Carvalho, MS; Goncalves, JNC;
PUBLISHED: 2021, SOURCE: ELECTRONICS, VOLUME: 10, ISSUE: 18
INDEXED IN: Scopus WOS CrossRef: 24
IN MY: ORCID
66
TITLE: A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
AUTHORS: Pereira, Pedro Jose; Pereira, Adriana; Cortez, Paulo; Pilastri, Andre;
PUBLISHED: 2021, SOURCE: 20th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021), VOLUME: 12981
INDEXED IN: Scopus WOS CrossRef: 3
IN MY: ORCID
67
TITLE: A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process
AUTHORS: Barros, J; Cortez, P; Carvalho, MS;
PUBLISHED: 2021, SOURCE: OPERATIONS RESEARCH PERSPECTIVES, VOLUME: 8
INDEXED IN: Scopus WOS CrossRef: 5
IN MY: ORCID
68
TITLE: A Comparison of Anomaly Detection Methods for Industrial Screw Tightening
AUTHORS: Ribeiro, D; Matos, LM; Cortez, P; Moreira, G; Pilastri, A;
PUBLISHED: 2021, SOURCE: 21st International Conference on Computational Science and Its Applications (ICCSA) in COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT II, VOLUME: 12950
INDEXED IN: Scopus WOS CrossRef: 4
IN MY: ORCID
69
TITLE: Using Deep Autoencoders for In-vehicle Audio Anomaly Detection
AUTHORS: Pereira, PJ; Coelho, G; Ribeiro, A; Matos, LM; Nunes, EC; Ferreira, A; Pilastri, A; Cortez, P;
PUBLISHED: 2021, SOURCE: 25th KES International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) in KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), VOLUME: 192
INDEXED IN: Scopus WOS CrossRef: 8
IN MY: ORCID
70
TITLE: A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
AUTHORS: Ferreira, L; Pilastri, A; Martins, CM; Pires, PM; Cortez, P;
PUBLISHED: 2021, SOURCE: International Joint Conference on Neural Networks (IJCNN) in 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2021-July
INDEXED IN: Scopus WOS CrossRef: 49
IN MY: ORCID
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