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ORCIDPedro Pereira Rodrigues
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- affiliation: University of Porto, Portugal
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2020 – today
- 2024
[j24]Ricardo Cardoso Pereira
, Pedro Henriques Abreu, Pedro Pereira Rodrigues, Mário A. T. Figueiredo:
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis. Expert Syst. Appl. 249: 123654 (2024)- [j23]Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Irina S. Moreira, Pedro Henriques Abreu:
Call for Papers: Data Generation in Healthcare Environments. J. Biomed. Informatics 159: 104742 (2024) - [j22]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random. J. Comput. Sci. 78: 102269 (2024) - [c62]Andreia Teixeira, Rosália Páscoa, Carlos Martins, Pedro Pereira Rodrigues:
Finding Groups in the Portuguese Population Through Lifestyle: A Cross-Sectional Study. MIE 2024: 1659-1663 - 2023
- [c61]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
Siamese Autoencoder-Based Approach for Missing Data Imputation. ICCS (1) 2023: 33-46 - [c60]Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Mário A. T. Figueiredo, Pedro Henriques Abreu:
Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation. ICCS (1) 2023: 481-493 - 2022
- [j21]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data. IEEE J. Biomed. Health Informatics 26(8): 4218-4227 (2022) - [c59]João Coutinho-Almeida, Ricardo João Cruz Correia, Pedro Pereira Rodrigues:
Dataset Comparison Tool: Utility and Privacy. MIE 2022: 23-27 - 2021
- [j20]Michael A. P. Domingues, Rui Camacho, Pedro Pereira Rodrigues:
CMIID: A comprehensive medical information identifier for clinical search harmonization in Data Safe Havens. J. Biomed. Informatics 114: 103669 (2021) - [c58]Solange Belinha, Bruno Miguel Oliveira, Pedro Pereira Rodrigues:
Congenital Heart Disease Detection Using Clinical Data and Auscultation Heart Sounds: a Machine Learning Approach. SMARTERCARE@AI*IA 2021: 91-103 - [c57]João Coutinho-Almeida, Pedro Pereira Rodrigues, Ricardo João Cruz Correia:
GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy. DS 2021: 282-291 - [e7]Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño:
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. Lecture Notes in Computer Science 12721, Springer 2021, ISBN 978-3-030-77210-9 [contents] - [e6]Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama:
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings. Lecture Notes in Computer Science 12695, Springer 2021, ISBN 978-3-030-74250-8 [contents] - 2020
- [j19]Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes. J. Artif. Intell. Res. 69: 1255-1285 (2020) - [j18]Francisco Bischoff, Pedro Pereira Rodrigues:
tsmp: An R Package for Time Series with Matrix Profile. R J. 12(1): 76 (2020) - [c56]Giovana Jaskulski Gelatti, Pedro Pereira Rodrigues, Ricardo João Cruz Correia:
Informatics as Support for Changes in Health Policy: A Case in Obstetrics. HEALTHINF 2020: 745-749 - [c55]Ricardo Cardoso Pereira, Joana Cristo Santos, José Pereira Amorim, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
Missing Image Data Imputation using Variational Autoencoders with Weighted Loss. ESANN 2020: 475-480 - [c54]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues:
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j17]Daniela Ferreira Santos, Pedro Pereira Rodrigues:
A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches. Int. J. Data Sci. Anal. 8(4): 339-349 (2019) - [j16]Daniela Ferreira Santos, Pedro Pereira Rodrigues:
Correction to: A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches. Int. J. Data Sci. Anal. 8(4): 351 (2019) - [j15]Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues, Sameer K. Antani, Daniela Giordano:
Guest Editorial Small Things and Big Data: Controversies and Challenges in Digital Healthcare. IEEE J. Biomed. Health Informatics 23(6): 2208-2210 (2019) - [c53]Liliana Sá-Correia, Ricardo Cruz-Correia, Pedro Pereira Rodrigues:
Illegitimate HIS access by healthcare professionals: scenarios, use cases and audit trail-based detection model. CENTERIS/ProjMAN/HCist 2019: 629-636 - [c52]Francisco Bischoff, Maria do Carmo Koch, Pedro Pereira Rodrigues:
Predicting Blood Donations in a Tertiary Care Center Using Time Series Forecasting. EFMI-STC 2019: 135-139 - [c51]Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu:
MNAR Imputation with Distributed Healthcare Data. EPIA (2) 2019: 184-195 - [i1]Francisco Bischoff, Pedro Pereira Rodrigues:
tsmp: An R Package for Time Series with Matrix Profile. CoRR abs/1904.12626 (2019) - 2018
- [j14]Pedro Pereira Rodrigues, Daniela Ferreira Santos, Ana Silva, Jorge Polónia, Inês Ribeiro-Vaz:
Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network. Artif. Intell. Medicine 91: 12-22 (2018) - [j13]Niels Peek, Pedro Pereira Rodrigues:
Three controversies in health data science. Int. J. Data Sci. Anal. 6(3): 261-269 (2018) - [j12]Pedro Pereira Rodrigues, João Araújo, João Gama, Luís M. B. Lopes:
A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks. Int. J. Distributed Sens. Networks 14(10) (2018) - [c50]Daniela Ferreira Santos, Pedro Pereira Rodrigues:
Finding Groups in Obstructive Sleep Apnea Patients: A Categorical Cluster Analysis. CBMS 2018: 387-392 - [c49]Daniela Ferreira Santos, Pedro Pereira Rodrigues:
Phenotyping Obstructive Sleep Apnea Patients: A First Approach to Cluster Visualization. EFMI-STC 2018: 75-79 - [c48]Daniela Ferreira Santos, Matilde Monteiro-Soares, Pedro Pereira Rodrigues:
Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis. MIE 2018: 126-130 - [c47]Bruno Miguel Oliveira, Rui Vasconcellos Guimarães, Luís Antunes, Pedro Pereira Rodrigues:
Sifting Through Chaos: Extracting Information from Unstructured Legal Opinions. MIE 2018: 441-445 - [c46]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Mariana Lobo, Pedro Pereira Rodrigues:
Modeling the Dynamics of Multiple Disease Occurrence by Latent States. SUM 2018: 93-107 - 2017
- [c45]Pedro Pereira Rodrigues, Daniela Ferreira Santos, Ana Silva, Jorge Polónia, Inês Ribeiro-Vaz:
Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach. AIME 2017: 55-64 - [c44]Giovana Jaskulski Gelatti, André Carlos Ponce de Leon Ferreira de Carvalho, Pedro Pereira Rodrigues:
Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper. CBMS 2017: 354-355 - [c43]Raphael Oliveira, Joana Ferreira, Diogo Libânio, Cláudia Camila Dias, Pedro Pereira Rodrigues:
Bringing Bayesian Networks to Bedside: A Web-Based Framework. CBMS 2017: 369-372 - [c42]Daniela Ferreira Santos, Pedro Pereira Rodrigues:
Improving Diagnosis in Obstructive Sleep Apnea with Clinical Data: A Bayesian Network Approach. CBMS 2017: 612-617 - [e5]Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues:
30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22-24, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1710-6 [contents] - 2016
- [c41]Cláudia Camila Dias, Fernando Magro, Pedro Pereira Rodrigues:
Disabling and Reoperation in Patients with Crohn's Disease Subject to Early Surgery or Immunosuppression: A Bayesian Network Prognostic Model. CBMS 2016: 265-268 - 2015
- [j11]Carlos Sáez, Pedro Pereira Rodrigues, João Gama, Montserrat Robles, Juan Miguel García-Gómez:
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. Data Min. Knowl. Discov. 29(4): 950-975 (2015) - [c40]Pedro Pereira Rodrigues, Daniela Ferreira Santos, Liliana Leite:
Obstructive Sleep Apnea Diagnosis: The Bayesian Network Model Revisited. CBMS 2015: 115-120 - [c39]Cláudia Camila Dias, Fernando Magro, Pedro Pereira Rodrigues:
Preliminary Study for a Bayesian Network Prognostic Model for Crohn's Disease. CBMS 2015: 141-144 - [c38]Pedro Pereira Rodrigues, Cristiano Inácio Lemes, Cláudia Camila Dias, Ricardo Cruz-Correia:
Predicting Within-24h Visualisation of Hospital Clinical Reports Using Bayesian Networks. EPIA 2015: 91-102 - [c37]Myra Spiliopoulou, Pedro Pereira Rodrigues, Ernestina Menasalvas Ruiz:
Medical Mining: KDD 2015 Tutorial. KDD 2015: 2325 - [e4]Caetano Traina Jr., Pedro Pereira Rodrigues, Bridget Kane, Paulo Mazzoncini de Azevedo Marques, Agma Juci Machado Traina:
28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015, Sao Carlos, Brazil, June 22-25, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-6775-2 [contents] - [e3]Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9284, Springer 2015, ISBN 978-3-319-23527-1 [contents] - [e2]Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9285, Springer 2015, ISBN 978-3-319-23524-0 [contents] - 2014
- [j10]Zoran Bosnic, Jaka Demsar, Grega Kespret, Pedro Pereira Rodrigues, João Gama, Igor Kononenko:
Enhancing data stream predictions with reliability estimators and explanation. Eng. Appl. Artif. Intell. 34: 178-192 (2014) - [j9]Pedro Pereira Rodrigues, João Gama:
Distributed clustering of ubiquitous data streams. WIREs Data Mining Knowl. Discov. 4(1): 38-54 (2014) - [c36]Liliana Leite, Cristina Costa-Santos, Pedro Pereira Rodrigues:
Can We Avoid Unnecessary Polysomnographies in the Diagnosis of Obstructive Sleep Apnea? A Bayesian Network Decision Support Tool. CBMS 2014: 28-33 - [c35]Cláudia Camila Dias, Cristina Granja, Altamiro da Costa Pereira, João Gama, Pedro Pereira Rodrigues:
Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness. CBMS 2014: 56-61 - [c34]Margarida David, Fernando Rosa, Pedro Pereira Rodrigues:
Need and Requirements Elicitation for Electronic Access to Patient's Medication History in the Emergency Department. CBMS 2014: 497-498 - 2013
- [j8]Ricardo Cruz-Correia, Isabel Boldt, Luís Velez Lapão, Cátia Santos-Pereira, Pedro Pereira Rodrigues, Ana Margarida Ferreira, Alberto Freitas:
Analysis of the quality of hospital information systems audit trails. BMC Medical Informatics Decis. Mak. 13: 84 (2013) - [j7]João Gama, Raquel Sebastião, Pedro Pereira Rodrigues:
On evaluating stream learning algorithms. Mach. Learn. 90(3): 317-346 (2013) - [c33]Inês C. Moreira, Sandra M. Rua Ventura, Isabel Ramos, Pedro Pereira Rodrigues:
Learner's satisfaction within a breast imaging eLearning course for radiographers. CBMS 2013: 215-220 - [c32]Maria Jose Dias, Maria Fragoso, Lucio Lara-Santos, Pedro Pereira Rodrigues:
Telenursing in colorectal cancer patient follow-up and treatment assessment: A mixed methods evaluation study. CBMS 2013: 262-267 - [c31]Pedro Pereira Rodrigues, Cláudia Camila Dias, Diana Rocha, Isabel Boldt, Armando Teixeira-Pinto, Ricardo Cruz-Correia:
Predicting visualization of hospital clinical reports using survival analysis of access logs from a virtual patient record. CBMS 2013: 461-464 - [c30]Bruno Santos, Pedro Pereira Rodrigues, Ricardo Cruz-Correia:
An automatic clinical document importance estimator for an existing electronic patient record - Architecture and implementation. CBMS 2013: 537-539 - [c29]Daniela Vasco, Pedro Pereira Rodrigues, João Gama:
Contextual anomalies in medical data. CBMS 2013: 544-545 - [c28]Ana Ferreira, Pedro Farinha, Cátia Santos-Pereira, Ricardo João Cruz Correia, Pedro Pereira Rodrigues, Altamiro da Costa Pereira, Verónica Orvalho:
Log Analysis of Human Computer Interactions Regarding Break The Glass Accesses to Genetic Reports. ICEIS (3) 2013: 46-53 - [e1]Pedro Pereira Rodrigues, Mykola Pechenizkiy, João Gama, Ricardo Cruz-Correia, Jiming Liu, Agma J. M. Traina, Peter J. F. Lucas, Paolo Soda:
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013. IEEE Computer Society 2013, ISBN 978-1-4799-1053-3 [contents] - 2012
- [j6]Pedro Pereira Rodrigues:
Learning from ubiquitous data streams: Clustering data and data sources. AI Commun. 25(1): 69-71 (2012) - [c27]Celeste Marques Oliveira, Pedro Pereira Rodrigues:
The Relevance of DICOM-RT in Radiotherapy Information Systems - Preliminary Results from a National Survey. HEALTHINF 2012: 131-136 - [c26]Inês C. Moreira, Gustavo Marísio Bacelar-Silva, Pedro Pereira Rodrigues:
Compliance of Publicly Available Mammographic Databases with Established Case Selection and Annotation Requirements. HEALTHINF 2012: 337-340 - [c25]Gustavo Marísio Bacelar-Silva, Pedro Pereira Rodrigues:
Applying TOC Buffer Management in Health Information Systems to Improve Hospital Performance. HEALTHINF 2012: 345-349 - 2011
- [j5]João Gama, Pedro Pereira Rodrigues, Luís M. B. Lopes:
Clustering distributed sensor data streams using local processing and reduced communication. Intell. Data Anal. 15(1): 3-28 (2011) - [c24]Rui Fonseca, Pedro Pereira Rodrigues:
The Importance of System Integration in Intensive Care Units - A Review. HEALTHINF 2011: 142-147 - [c23]Rui Mendes, Pedro Pereira Rodrigues:
Main Barriers for Quality Data Collection in EHR - A Review. HEALTHINF 2011: 451-454 - [c22]Maria João Campos, Pedro Pereira Rodrigues:
Key Issues and Future Perspectives on Identity Management in eHealth - A Review. HEALTHINF 2011: 455-458 - [c21]Jorge Filipe Ribeiro, Pedro Pereira Rodrigues:
Decision Support Systems and Technologies used in Periodontology. HEALTHINF 2011: 459-462 - [c20]Celeste Marques Oliveira, Pedro Pereira Rodrigues:
Automatic Organ Delineation of Computed Tomography Images for Radiotherapy Planning in Prostate Cancer - An Overview. HEALTHINF 2011: 482-485 - [c19]Joaquim Matos, Pedro Pereira Rodrigues:
Modeling Decisions for Hospital Bed Management - A Review. HEALTHINF 2011: 504-507 - [c18]José Manuel Coelho, Pedro Pereira Rodrigues:
The Red Dot System - Emergency Diagnosis Impact and Digital Radiology Implementation: A Review. HEALTHINF 2011: 508-511 - [c17]Zoran Bosnic, Pedro Pereira Rodrigues, Igor Kononenko, João Gama:
Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate. ICMMI 2011: 343-350 - [c16]Ricardo Cruz-Correia, Luís Velez Lapão, Pedro Pereira Rodrigues:
Traceability of Patient Records Usage: Barriers and Opportunities for Improving User Interface Design and Data Management. MIE 2011: 275-279 - [c15]Pedro Pereira Rodrigues, João Gama, João Araújo, Luís M. B. Lopes:
L2GClust: local-to-global clustering of stream sources. SAC 2011: 1006-1011 - 2010
- [p2]João Gama, Pedro Pereira Rodrigues, Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho:
Knowledge Discovery from Data Streams. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 125-138
2000 – 2009
- 2009
- [j4]Pedro Pereira Rodrigues, João Gama:
A system for analysis and prediction of electricity-load streams. Intell. Data Anal. 13(3): 477-496 (2009) - [c14]Raquel Sebastião, Pedro Pereira Rodrigues, João Gama:
Change Detection in Climate Data over the Iberian Peninsula. ICDM Workshops 2009: 248-253 - [c13]João Gama, Raquel Sebastião, Pedro Pereira Rodrigues:
Issues in evaluation of stream learning algorithms. KDD 2009: 329-338 - [c12]João Gama, Pedro Pereira Rodrigues, Raquel Sebastião:
Evaluating algorithms that learn from data streams. SAC 2009: 1496-1500 - [p1]João Gama, Pedro Pereira Rodrigues:
An Overview on Mining Data Streams. Foundations of Computational Intelligence (6) 2009: 29-45 - [r2]João Gama, Pedro Pereira Rodrigues:
Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 561-565 - [r1]João Gama, Pedro Pereira Rodrigues:
Learning from Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 1137-1141 - 2008
- [j3]Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso:
Hierarchical Clustering of Time-Series Data Streams. IEEE Trans. Knowl. Data Eng. 20(5): 615-627 (2008) - [c11]Pedro Pereira Rodrigues, João Gama:
Robust Division in Clustering of Streaming Time Series. ECAI 2008: 172-176 - [c10]Pedro Pereira Rodrigues, João Gama, Zoran Bosnic:
Online Reliability Estimates for Individual Predictions in Data Streams. ICDM Workshops 2008: 36-45 - [c9]Pedro Pereira Rodrigues, Fernando M. A. Silva, Nuno A. Fonseca:
BIORED - A Genetic Algorithm for Pattern Detection in Biosequences. IWPACBB 2008: 156-165 - [c8]Raquel Sebastião, João Gama, Pedro Pereira Rodrigues, João Bernardes:
Monitoring Incremental Histogram Distribution for Change Detection in Data Streams. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 25-42 - [c7]Pedro Pereira Rodrigues, João Gama:
A Simple Dense Pixel Visualization for Mobile Sensor Data Mining. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 175-189 - [c6]Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes:
Clustering Distributed Sensor Data Streams. ECML/PKDD (2) 2008: 282-297 - 2007
- [j2]Pedro Pereira Rodrigues, João Gama:
Electricity load forecast using data streams techniques. Monde des Util. Anal. Données 36: 129-135 (2007) - [c5]Pedro Pereira Rodrigues, João Gama:
Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering. EPIA Workshops 2007: 133-144 - [c4]João Gama, Pedro Pereira Rodrigues:
Stream-Based Electricity Load Forecast. PKDD 2007: 446-453 - 2006
- [j1]João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz:
An Overview on Learning from Data Streams. New Gener. Comput. 25(1): 1-4 (2006) - [c3]Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso:
ODAC: Hierarchical Clustering of Time Series Data Streams. SDM 2006: 499-503 - 2005
- [c2]João Gama, Pedro Medas, Pedro Pereira Rodrigues:
Learning decision trees from dynamic data streams. SAC 2005: 573-577 - 2004
- [c1]João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues:
Learning with Drift Detection. SBIA 2004: 286-295
Coauthor Index
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