51
TÍTULO: Antimicrobial profile of a dental implant abutment coating to prevent adhesion and migration of bacteria and screw loosening  Full Text
AUTORES: Rodrigues, MA; Cortez, AR; Cortez, J; Gobbo, P; Lepicka, M; Barros Silva, S; Freitas, PP; Lopes, MA ; Joaquim Mendes ;
PUBLICAÇÃO: 2021, FONTE: DENTAL MATERIALS, VOLUME: 37, NÚMERO: 10
INDEXADO EM: Scopus WOS CrossRef: 1
52
TÍTULO: Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry
AUTORES: Silva, N; Barros, J; Santos, MY; Costa, C; Cortez, P; Carvalho, MS; Goncalves, JNC;
PUBLICAÇÃO: 2021, FONTE: ELECTRONICS, VOLUME: 10, NÚMERO: 18
INDEXADO EM: Scopus WOS CrossRef: 24
NO MEU: ORCID
53
TÍTULO: A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
AUTORES: Pereira, Pedro Jose; Pereira, Adriana; Cortez, Paulo; Pilastri, Andre;
PUBLICAÇÃO: 2021, FONTE: 20th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021), VOLUME: 12981
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
54
TÍTULO: A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process
AUTORES: Barros, J; Cortez, P; Carvalho, MS;
PUBLICAÇÃO: 2021, FONTE: OPERATIONS RESEARCH PERSPECTIVES, VOLUME: 8
INDEXADO EM: Scopus WOS CrossRef: 5
NO MEU: ORCID
55
TÍTULO: A Comparison of Anomaly Detection Methods for Industrial Screw Tightening
AUTORES: Ribeiro, D; Matos, LM; Cortez, P; Moreira, G; Pilastri, A;
PUBLICAÇÃO: 2021, FONTE: 21st International Conference on Computational Science and Its Applications (ICCSA) in COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT II, VOLUME: 12950
INDEXADO EM: Scopus WOS CrossRef: 4
NO MEU: ORCID
56
TÍTULO: Using Deep Autoencoders for In-vehicle Audio Anomaly Detection
AUTORES: Pereira, PJ; Coelho, G; Ribeiro, A; Matos, LM; Nunes, EC; Ferreira, A; Pilastri, A; Cortez, P;
PUBLICAÇÃO: 2021, FONTE: 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
INDEXADO EM: Scopus WOS CrossRef: 8
NO MEU: ORCID
57
TÍTULO: A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
AUTORES: Ferreira, L; Pilastri, A; Martins, CM; Pires, PM; Cortez, P;
PUBLICAÇÃO: 2021, FONTE: International Joint Conference on Neural Networks (IJCNN) in 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2021-July
INDEXADO EM: Scopus WOS CrossRef: 49
NO MEU: ORCID
58
TÍTULO: A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality
AUTORES: Matos, LM; Domingues, A; Moreira, G; Cortez, P; Pilastri, A;
PUBLICAÇÃO: 2021, FONTE: 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 13113 LNCS
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
59
TÍTULO: An Intelligent Decision Support System for Production Planning in Garments Industry
AUTORES: Ribeiro, R; Pilastri, A; Carvalho, H; Matta, A; Pereira, PJ; Rocha, P; Alves, M; Cortez, P;
PUBLICAÇÃO: 2021, FONTE: 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 13113 LNCS
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
60
TÍTULO: Prediction of Maintenance Equipment Failures Using Automated Machine Learning
AUTORES: Ferreira, L; Pilastri, A; Sousa, V; Romano, F; Cortez, P;
PUBLICAÇÃO: 2021, FONTE: 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 13113 LNCS
INDEXADO EM: Scopus CrossRef: 5
NO MEU: ORCID
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