Ricardo Daniel Cardoso Pereira


AuthID: R-00M-1MF

Confirmed Publications: 15



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TITLE: Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random  Full Text
AUTHORS: Pereira, Ricardo Cardoso ; Abreu, Pedro Henriques; Rodrigues, Pedro Pereira ;
PUBLISHED: 2024, SOURCE: JOURNAL OF COMPUTATIONAL SCIENCE, VOLUME: 78
INDEXED IN: Scopus WOS DBLP CrossRef Unpaywall
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TITLE: Artificial Intelligence Strategies for Missing Data Imputation using Healthcare Data. Estratégias de Inteligência Artificial para a Imputação de Dados em Falta utilizando Dados Médicos
AUTHORS: Ricardo D C Pereira ;
PUBLISHED: 2023, SOURCE: Artificial Intelligence Strategies for Missing Data Imputation using Healthcare Data in Artificial Intelligence Strategies for Missing Data Imputation using Healthcare Data
INDEXED IN: Handle
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TITLE: Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation
AUTHORS: Ricardo Cardoso Pereira ; Pedro Pereira Rodrigues ; Mário A T Figueiredo; Pedro Henriques Abreu;
PUBLISHED: 2023, SOURCE: 23rd International Conference on Computational Science, ICCS 2023 in Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, VOLUME: 14073
INDEXED IN: Scopus DBLP CrossRef Unpaywall
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TITLE: Siamese Autoencoder-Based Approach for Missing Data Imputation
AUTHORS: Ricardo Cardoso Pereira ; Pedro Henriques Abreu ; Pedro Pereira Rodrigues ;
PUBLISHED: 2023, SOURCE: 23rd International Conference on Computational Science, ICCS 2023 in Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, VOLUME: 14073
INDEXED IN: Scopus DBLP CrossRef Unpaywall
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TITLE: ydata-profiling: Accelerating data-centric AI with high-quality data  Full Text
AUTHORS: Clemente, F; Ribeiro, GM; Quemy, A; Santos, Miriam Seoane ; Pereira, RC ; Barros, A;
PUBLISHED: 2023, SOURCE: NEUROCOMPUTING, VOLUME: 554
INDEXED IN: Scopus WOS DBLP CrossRef: 4 Unpaywall
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TITLE: Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data  Full Text
AUTHORS: Pereira, Ricardo Cardoso ; Abreu, Pedro Henriques ; Rodrigues, Pedro Pereira ;
PUBLISHED: 2022, SOURCE: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOLUME: 26, ISSUE: 8
INDEXED IN: Scopus WOS CrossRef: 11 Unpaywall
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TITLE: Missing Image Data Imputation using Variational Autoencoders with Weighted Loss PDF
AUTHORS: Ricardo Cardoso Pereira ; Joana Cristo Santos; José Pereira Amorim; Pedro Pereira Rodrigues ; Pedro Henriques Abreu ;
PUBLISHED: 2020, SOURCE: 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020 in 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020
INDEXED IN: Scopus DBLP
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TITLE: Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes  Full Text
AUTHORS: Pereira, RC ; Santos, Miriam Seoane ; Rodrigues, PP ; Abreu, PH ;
PUBLISHED: 2020, SOURCE: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, VOLUME: 69
INDEXED IN: Scopus WOS CrossRef Unpaywall
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TITLE: VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data
AUTHORS: Pereira, RC ; Abreu, PH ; Rodrigues, PP ;
PUBLISHED: 2020, SOURCE: International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) in 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
INDEXED IN: Scopus WOS DBLP CrossRef Unpaywall
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