Ricardo Daniel Cardoso Pereira


AuthID: R-00M-1MF

Confirmed Publications: 16



1
TITLE: A Perspective on the Missing at Random Problem: Synthetic Generation and Benchmark Analysis
AUTHORS: Cabrera Sanchez, Juan Francisco; Pereira, Ricardo Cardoso ; Abreu, Pedro Henriques; Silva Ramirez, Esther Lydia;
PUBLISHED: 2024, SOURCE: IEEE ACCESS, VOLUME: 12
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
2
TITLE: Imputation of data Missing Not at Random: Artificial generation and benchmark analysis  Full Text
AUTHORS: Pereira, Ricardo Cardoso ; Abreu, Pedro Henriques ; Rodrigues, Pedro Pereira ; Figueiredo, Mario A. T.;
PUBLISHED: 2024, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 249
INDEXED IN: Scopus WOS DBLP CrossRef Unpaywall
IN MY: ORCID
3
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
IN MY: ORCID
4
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
5
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
IN MY: ORCID
6
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
IN MY: ORCID
7
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
IN MY: ORCID
8
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 DBLP CrossRef: 11 Unpaywall
IN MY: ORCID
9
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
10
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: 42 Unpaywall
IN MY: ORCID
Page 1 of 2. Total results: 16.

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