Paulo Sérgio Oliveira Pintor
AuthID: R-001-0B7
1
TITLE: Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
AUTHORS: Gonçalo Cabaço; Sérgio Oliveira; André Alegre; João Marcelino; João Manso; Nuno Marques;
PUBLISHED: 2023, SOURCE: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 14115 LNAI
AUTHORS: Gonçalo Cabaço; Sérgio Oliveira; André Alegre; João Marcelino; João Manso; Nuno Marques;
PUBLISHED: 2023, SOURCE: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 14115 LNAI
INDEXED IN: 
Scopus
Scopus2
TITLE: Why- and How-Provenance in Distributed Environments
AUTHORS: Pintor, Paulo; de Carvalho Costa, Rogerio Luis; Moreira, Jose ;
PUBLISHED: 2022, SOURCE: 33rd International Conference on Database and Expert Systems Applications (DEXA) in DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2022, PT I, VOLUME: 13426
AUTHORS: Pintor, Paulo; de Carvalho Costa, Rogerio Luis; Moreira, Jose ;
PUBLISHED: 2022, SOURCE: 33rd International Conference on Database and Expert Systems Applications (DEXA) in DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2022, PT I, VOLUME: 13426
3
TITLE: Big Spatial Data Integration and Enrichment with Provenance Control
AUTHORS: Paulo Pintor; José Moreira; Rogério Luís de Carvalho Costa;
PUBLISHED: 2022, SOURCE: Anais Estendidos do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD Estendido 2022)
AUTHORS: Paulo Pintor; José Moreira; Rogério Luís de Carvalho Costa;
PUBLISHED: 2022, SOURCE: Anais Estendidos do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD Estendido 2022)
INDEXED IN: 
CrossRef
CrossRef4
TITLE: A Survey on Data-driven Performance Tuning for Big Data Analytics Platforms
AUTHORS: Costa, RLD; Moreira, J ; Pintor, P; dos Santos, V; Lifschitz, S;
PUBLISHED: 2021, SOURCE: BIG DATA RESEARCH, VOLUME: 25
AUTHORS: Costa, RLD; Moreira, J ; Pintor, P; dos Santos, V; Lifschitz, S;
PUBLISHED: 2021, SOURCE: BIG DATA RESEARCH, VOLUME: 25
