ProfileOfResearchers

TÃTULO: Preface
AUTORES: Maglogiannis, I; Iliadis, L; Macintyre, J; Cortez, P ;
PUBLICAÇÃO: 2022, FONTE: 18th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022 in IFIP Advances in Information and Communication Technology, VOLUME: 646 IFIP

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TÃTULO: Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning
AUTORES: Sousa, Afonso; Ferreira, Luis; Ribeiro, Rui; Xavier, Joao; Pilastri, Andre; Cortez, Paulo ;
PUBLICAÇÃO: 2022, FONTE: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI) in ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2022, PART II, VOLUME: 647

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TÃTULO: RanCoord — A random geographic coordinates generator for transport and logistics research and development activities[Formula presented]
AUTORES: Carvalho, HS; Pilastri, A; Novais, R; Cortez, P ;
PUBLICAÇÃO: 2022, FONTE: Software Impacts, VOLUME: 14

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TÃTULO: Using supervised and one-class automated machine learning for predictive maintenance
AUTORES: Ferreira, Luis; Pilastri, Andre; Romano, Filipe; Cortez, Paulo ;
PUBLICAÇÃO: 2022, FONTE: APPLIED SOFT COMPUTING, VOLUME: 131

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TÃTULO: <i>K</i>-means clustering combined with principal component analysis for material profiling in automotive supply chains
AUTORES: N.A Jo�ã; N.C N Gonçalves; Paulo Cortez ; Sameiro S Carvalho ;
PUBLICAÇÃO: 2021, FONTE: European J. of Industrial Engineering, VOLUME: 15, NÚMERO: 2

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TÃTULO: 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

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TÃTULO: 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

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TÃTULO: 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

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TÃTULO: 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

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