Pedro Pereira Rodrigues

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 34

Top Topics

Data Imputation

Obstructive Sleep Apnea

Bayesian Networks

Top Venues

Int. J. Data Sci. Anal.

Publications

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 (2024)
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 (2024)
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)
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
Siamese Autoencoder-Based Approach for Missing Data Imputation. ICCS (1) (2023)
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) (2022)
João Coutinho-Almeida, Ricardo João Cruz Correia, Pedro Pereira Rodrigues
Dataset Comparison Tool: Utility and Privacy. MIE (2022)
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 (2021)
João Coutinho-Almeida, Pedro Pereira Rodrigues, Ricardo João Cruz Correia
GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy. DS (2021)
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)
Francisco Bischoff, Pedro Pereira Rodrigues
tsmp: An R Package for Time Series with Matrix Profile. R J. 12 (1) (2020)
Giovana Jaskulski Gelatti, Pedro Pereira Rodrigues, Ricardo João Cruz Correia
Informatics as Support for Changes in Health Policy: A Case in Obstetrics. HEALTHINF (2020)
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)
Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. IJCNN (2020)
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 (2020)
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)
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) (2019)
Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Pereira Rodrigues, Pedro Henriques Abreu
MNAR Imputation with Distributed Healthcare Data. EPIA (2) (2019)
Francisco Bischoff, Pedro Pereira Rodrigues
tsmp: An R Package for Time Series with Matrix Profile. CoRR (2019)
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) (2019)
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) (2019)
Francisco Bischoff, Maria do Carmo Koch, Pedro Pereira Rodrigues
Predicting Blood Donations in a Tertiary Care Center Using Time Series Forecasting. EFMI-STC (2019)
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)
Daniela Ferreira Santos, Pedro Pereira Rodrigues
Phenotyping Obstructive Sleep Apnea Patients: A First Approach to Cluster Visualization. EFMI-STC (2018)
Bruno Miguel Oliveira, Rui Vasconcellos Guimarães, Luís Antunes, Pedro Pereira Rodrigues
Sifting Through Chaos: Extracting Information from Unstructured Legal Opinions. MIE (2018)
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 (2018)
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)
Daniela Ferreira Santos, Pedro Pereira Rodrigues
Finding Groups in Obstructive Sleep Apnea Patients: A Categorical Cluster Analysis. CBMS (2018)
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)
Niels Peek, Pedro Pereira Rodrigues
Three controversies in health data science. Int. J. Data Sci. Anal. 6 (3) (2018)
Raphael Oliveira, Joana Ferreira, Diogo Libanio, Cláudia Camila Dias, Pedro Pereira Rodrigues
Bringing Bayesian Networks to Bedside: A Web-Based Framework. CBMS (2017)
Daniela Ferreira Santos, Pedro Pereira Rodrigues
Improving Diagnosis in Obstructive Sleep Apnea with Clinical Data: A Bayesian Network Approach. CBMS (2017)
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)
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)
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)
Pedro Pereira Rodrigues, Daniela Ferreira Santos, Liliana Leite
Obstructive Sleep Apnea Diagnosis: The Bayesian Network Model Revisited. CBMS (2015)
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) (2015)
Myra Spiliopoulou, Pedro Pereira Rodrigues, Ernestina Menasalvas Ruiz
Medical Mining: KDD 2015 Tutorial. KDD (2015)
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)
Cláudia Camila Dias, Fernando Magro, Pedro Pereira Rodrigues
Preliminary Study for a Bayesian Network Prognostic Model for Crohn's Disease. CBMS (2015)
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 (2014)
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)
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)
Pedro Pereira Rodrigues, João Gama
Distributed clustering of ubiquitous data streams. WIREs Data Mining Knowl. Discov. 4 (1) (2014)
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)
João Gama, Raquel Sebastião, Pedro Pereira Rodrigues
On evaluating stream learning algorithms. Mach. Learn. 90 (3) (2013)
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)
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)
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 (2013)
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)
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)
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)
Daniela Vasco, Pedro Pereira Rodrigues, João Gama
Contextual anomalies in medical data. CBMS (2013)
Celeste Marques Oliveira, Pedro Pereira Rodrigues
The Relevance of DICOM-RT in Radiotherapy Information Systems - Preliminary Results from a National Survey. HEALTHINF (2012)
Gustavo Marísio Bacelar-Silva, Pedro Pereira Rodrigues
Applying TOC Buffer Management in Health Information Systems to Improve Hospital Performance. HEALTHINF (2012)
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)
Pedro Pereira Rodrigues
Learning from ubiquitous data streams: Clustering data and data sources. AI Commun. 25 (1) (2012)
José Manuel Coelho, Pedro Pereira Rodrigues
The Red Dot System - Emergency Diagnosis Impact and Digital Radiology Implementation: A Review. HEALTHINF (2011)
Maria João Campos, Pedro Pereira Rodrigues
Key Issues and Future Perspectives on Identity Management in eHealth - A Review. HEALTHINF (2011)
Rui Mendes, Pedro Pereira Rodrigues
Main Barriers for Quality Data Collection in EHR - A Review. HEALTHINF (2011)
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)
Joaquim Matos, Pedro Pereira Rodrigues
Modeling Decisions for Hospital Bed Management - A Review. HEALTHINF (2011)
Rui Fonseca, Pedro Pereira Rodrigues
The Importance of System Integration in Intensive Care Units - A Review. HEALTHINF (2011)
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)
Pedro Pereira Rodrigues, João Gama, João Araújo, Luís M. B. Lopes
L2GClust: local-to-global clustering of stream sources. SAC (2011)
Jorge Filipe Ribeiro, Pedro Pereira Rodrigues
Decision Support Systems and Technologies used in Periodontology. HEALTHINF (2011)
Celeste Marques Oliveira, Pedro Pereira Rodrigues
Automatic Organ Delineation of Computed Tomography Images for Radiotherapy Planning in Prostate Cancer - An Overview. HEALTHINF (2011)
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) (2011)
João Gama, Raquel Sebastião, Pedro Pereira Rodrigues
Issues in evaluation of stream learning algorithms. KDD (2009)
Pedro Pereira Rodrigues, João Gama
A system for analysis and prediction of electricity-load streams. Intell. Data Anal. 13 (3) (2009)
Raquel Sebastião, Pedro Pereira Rodrigues, João Gama
Change Detection in Climate Data over the Iberian Peninsula. ICDM Workshops (2009)
João Gama, Pedro Pereira Rodrigues, Raquel Sebastião
Evaluating algorithms that learn from data streams. SAC (2009)
Pedro Pereira Rodrigues, João Gama
Robust Division in Clustering of Streaming Time Series. ECAI (2008)
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)
Pedro Pereira Rodrigues, João Gama
A Simple Dense Pixel Visualization for Mobile Sensor Data Mining. KDD Workshop on Knowledge Discovery from Sensor Data (2008)
Pedro Pereira Rodrigues, João Gama, Zoran Bosnic
Online Reliability Estimates for Individual Predictions in Data Streams. ICDM Workshops (2008)
Pedro Pereira Rodrigues, Fernando M. A. Silva, Nuno A. Fonseca
BIORED - A Genetic Algorithm for Pattern Detection in Biosequences. IWPACBB (2008)
Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso
Hierarchical Clustering of Time-Series Data Streams. IEEE Trans. Knowl. Data Eng. 20 (5) (2008)
Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes
Clustering Distributed Sensor Data Streams. ECML/PKDD (2) (2008)
João Gama, Pedro Pereira Rodrigues
Stream-Based Electricity Load Forecast. PKDD (2007)
Pedro Pereira Rodrigues, João Gama
Electricity load forecast using data streams techniques. Monde des Util. Anal. Données 36 (2007)
Pedro Pereira Rodrigues, João Gama
Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering. EPIA Workshops (2007)
João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz
An Overview on Learning from Data Streams. New Gener. Comput. 25 (1) (2006)
Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso
ODAC: Hierarchical Clustering of Time Series Data Streams. SDM (2006)
João Gama, Pedro Medas, Pedro Pereira Rodrigues
Learning decision trees from dynamic data streams. SAC (2005)
João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues
Learning with Drift Detection. SBIA (2004)