Learning with Drift Detection. - João Gama 001; Pedro Medas; Gladys Castillo; Pedro Pereira Rodrigues (SBIA, 2004)

Learning decision trees from dynamic data streams. - João Gama 001; Pedro Medas; Pedro Pereira Rodrigues (SAC, 2005)

ODAC: Hierarchical Clustering of Time Series Data Streams. - Pedro Pereira Rodrigues; João Gama 001; João Pedro Pedroso (SDM, 2006)

An Overview on Learning from Data Streams. - João Gama 001; Pedro Pereira Rodrigues; Jesús S. Aguilar-Ruiz (New Gener. Comput., 2006)

Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering. - Pedro Pereira Rodrigues; João Gama 001 (EPIA Workshops, 2007)

Stream-Based Electricity Load Forecast. - João Gama 001; Pedro Pereira Rodrigues (PKDD, 2007)

Electricity load forecast using data streams techniques. - Pedro Pereira Rodrigues; João Gama 001 (Monde des Util. Anal. Données, 2007)

Robust Division in Clustering of Streaming Time Series. - Pedro Pereira Rodrigues; João Gama 001 (ECAI, 2008)

Online Reliability Estimates for Individual Predictions in Data Streams. - Pedro Pereira Rodrigues; João Gama 001; Zoran Bosnic (ICDM Workshops, 2008)

BIORED - A Genetic Algorithm for Pattern Detection in Biosequences. - Pedro Pereira Rodrigues; Fernando M. A. Silva; Nuno A. Fonseca (IWPACBB, 2008)

A Simple Dense Pixel Visualization for Mobile Sensor Data Mining. - Pedro Pereira Rodrigues; João Gama 001 (KDD Workshop on Knowledge Discovery from Sensor Data, 2008)

Monitoring Incremental Histogram Distribution for Change Detection in Data Streams. - Raquel Sebastião; João Gama 001; Pedro Pereira Rodrigues; João Bernardes (KDD Workshop on Knowledge Discovery from Sensor Data, 2008)

Clustering Distributed Sensor Data Streams. - Pedro Pereira Rodrigues; João Gama 001; Luís M. B. Lopes (ECML/PKDD (2), 2008)

Hierarchical Clustering of Time-Series Data Streams. - Pedro Pereira Rodrigues; João Gama 001; João Pedro Pedroso (IEEE Trans. Knowl. Data Eng., 2008)

Change Detection in Climate Data over the Iberian Peninsula. - Raquel Sebastião; Pedro Pereira Rodrigues; João Gama 001 (ICDM Workshops, 2009)

Issues in evaluation of stream learning algorithms. - João Gama 001; Raquel Sebastião; Pedro Pereira Rodrigues (KDD, 2009)

Evaluating algorithms that learn from data streams. - João Gama 001; Pedro Pereira Rodrigues; Raquel Sebastião (SAC, 2009)

A system for analysis and prediction of electricity-load streams. - Pedro Pereira Rodrigues; João Gama 001 (Intell. Data Anal., 2009)

Data Streams. - João Gama 001; Pedro Pereira Rodrigues (Encyclopedia of Data Warehousing and Mining, 2009)

Learning from Data Streams. - João Gama 001; Pedro Pereira Rodrigues (Encyclopedia of Data Warehousing and Mining, 2009)

An Overview on Mining Data Streams. - João Gama 001; Pedro Pereira Rodrigues (Foundations of Computational Intelligence (6), 2009)

Knowledge Discovery from Data Streams. - João Gama 001; Pedro Pereira Rodrigues; Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho (Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web, 2010)

Key Issues and Future Perspectives on Identity Management in eHealth - A Review. - Maria João Campos; Pedro Pereira Rodrigues (HEALTHINF, 2011)

The Red Dot System - Emergency Diagnosis Impact and Digital Radiology Implementation: A Review. - José Manuel Coelho; Pedro Pereira Rodrigues (HEALTHINF, 2011)

The Importance of System Integration in Intensive Care Units - A Review. - Rui Fonseca; Pedro Pereira Rodrigues (HEALTHINF, 2011)

Modeling Decisions for Hospital Bed Management - A Review. - Joaquim Matos; Pedro Pereira Rodrigues (HEALTHINF, 2011)

Main Barriers for Quality Data Collection in EHR - A Review. - Rui Mendes 002; Pedro Pereira Rodrigues (HEALTHINF, 2011)

Automatic Organ Delineation of Computed Tomography Images for Radiotherapy Planning in Prostate Cancer - An Overview. - Celeste Marques Oliveira; Pedro Pereira Rodrigues (HEALTHINF, 2011)

Decision Support Systems and Technologies used in Periodontology. - Jorge Filipe Ribeiro; Pedro Pereira Rodrigues (HEALTHINF, 2011)

Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate. - Zoran Bosnic; Pedro Pereira Rodrigues; Igor Kononenko 001; João Gama 001 (ICMMI, 2011)

Traceability of Patient Records Usage: Barriers and Opportunities for Improving User Interface Design and Data Management. - Ricardo Cruz-Correia; Luís Velez Lapão; Pedro Pereira Rodrigues (MIE, 2011)

L2GClust: local-to-global clustering of stream sources. - Pedro Pereira Rodrigues; João Gama 001; João Araújo 002; Luís M. B. Lopes (SAC, 2011)

Clustering distributed sensor data streams using local processing and reduced communication. - João Gama 001; Pedro Pereira Rodrigues; Luís M. B. Lopes (Intell. Data Anal., 2011)

Applying TOC Buffer Management in Health Information Systems to Improve Hospital Performance. - Gustavo Marísio Bacelar-Silva; Pedro Pereira Rodrigues (HEALTHINF, 2012)

Compliance of Publicly Available Mammographic Databases with Established Case Selection and Annotation Requirements. - Inês C. Moreira; Gustavo Marísio Bacelar-Silva; Pedro Pereira Rodrigues (HEALTHINF, 2012)

The Relevance of DICOM-RT in Radiotherapy Information Systems - Preliminary Results from a National Survey. - Celeste Marques Oliveira; Pedro Pereira Rodrigues (HEALTHINF, 2012)

Learning from ubiquitous data streams: Clustering data and data sources. - Pedro Pereira Rodrigues (AI Commun., 2012)

Telenursing in colorectal cancer patient follow-up and treatment assessment: A mixed methods evaluation study. - Maria Jose Dias; Maria Fragoso; Lucio Lara-Santos; Pedro Pereira Rodrigues (CBMS, 2013)

Learner's satisfaction within a breast imaging eLearning course for radiographers. - Inês C. Moreira; Sandra M. Rua Ventura; Isabel Ramos; Pedro Pereira Rodrigues (CBMS, 2013)

Predicting visualization of hospital clinical reports using survival analysis of access logs from a virtual patient record. - Pedro Pereira Rodrigues; Cláudia Camila Dias; Diana Rocha; Isabel Boldt; Armando Teixeira-Pinto; Ricardo Cruz-Correia (CBMS, 2013)

An automatic clinical document importance estimator for an existing electronic patient record - Architecture and implementation. - Bruno Santos; Pedro Pereira Rodrigues; Ricardo Cruz-Correia (CBMS, 2013)

Contextual anomalies in medical data. - Daniela Vasco; Pedro Pereira Rodrigues; João Gama 001 (CBMS, 2013)

Log Analysis of Human Computer Interactions Regarding Break The Glass Accesses to Genetic Reports. - Ana Ferreira 001; Pedro Farinha; Cátia Santos-Pereira; Ricardo João Cruz Correia; Pedro Pereira Rodrigues; Altamiro da Costa Pereira; Verónica Orvalho (ICEIS (3), 2013)

Analysis of the quality of hospital information systems audit trails. - Ricardo Cruz-Correia; Isabel Boldt; Luís Velez Lapão; Cátia Santos-Pereira; Pedro Pereira Rodrigues; Ana Margarida Ferreira 001; Alberto Freitas (BMC Medical Informatics Decis. Mak., 2013)

On evaluating stream learning algorithms. - João Gama 001; Raquel Sebastião; Pedro Pereira Rodrigues (Mach. Learn., 2013)

Need and Requirements Elicitation for Electronic Access to Patient's Medication History in the Emergency Department. - Margarida David; Fernando Rosa; Pedro Pereira Rodrigues (CBMS, 2014)

Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness. - Cláudia Camila Dias; Cristina Granja; Altamiro da Costa Pereira; João Gama 001; Pedro Pereira Rodrigues (CBMS, 2014)

Can We Avoid Unnecessary Polysomnographies in the Diagnosis of Obstructive Sleep Apnea? A Bayesian Network Decision Support Tool. - Liliana Leite; Cristina Costa-Santos; Pedro Pereira Rodrigues (CBMS, 2014)

Enhancing data stream predictions with reliability estimators and explanation. - Zoran Bosnic; Jaka Demsar; Grega Kespret; Pedro Pereira Rodrigues; João Gama 001; Igor Kononenko 001 (Eng. Appl. Artif. Intell., 2014)

Distributed clustering of ubiquitous data streams. - Pedro Pereira Rodrigues; João Gama 001 (WIREs Data Mining Knowl. Discov., 2014)

Preliminary Study for a Bayesian Network Prognostic Model for Crohn's Disease. - Cláudia Camila Dias; Fernando Magro; Pedro Pereira Rodrigues (CBMS, 2015)

Obstructive Sleep Apnea Diagnosis: The Bayesian Network Model Revisited. - Pedro Pereira Rodrigues; Daniela Ferreira Santos; Liliana Leite (CBMS, 2015)

Predicting Within-24h Visualisation of Hospital Clinical Reports Using Bayesian Networks. - Pedro Pereira Rodrigues; Cristiano Inácio Lemes; Cláudia Camila Dias; Ricardo Cruz-Correia (EPIA, 2015)

Medical Mining: KDD 2015 Tutorial. - Myra Spiliopoulou; Pedro Pereira Rodrigues; Ernestina Menasalvas Ruiz (KDD, 2015)

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. - Carlos Sáez; Pedro Pereira Rodrigues; João Gama 001; Montserrat Robles; Juan Miguel García-Gómez (Data Min. Knowl. Discov., 2015)

Disabling and Reoperation in Patients with Crohn's Disease Subject to Early Surgery or Immunosuppression: A Bayesian Network Prognostic Model. - Cláudia Camila Dias; Fernando Magro; Pedro Pereira Rodrigues (CBMS, 2016)

Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach. - Pedro Pereira Rodrigues; Daniela Ferreira Santos; Ana Silva; Jorge Polónia; Inês Ribeiro-Vaz (AIME, 2017)

Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper. - Giovana Jaskulski Gelatti; André Carlos Ponce de Leon Ferreira de Carvalho; Pedro Pereira Rodrigues (CBMS, 2017)

Bringing Bayesian Networks to Bedside: A Web-Based Framework. - Raphael Oliveira; Joana Ferreira 002; Diogo Libânio; Cláudia Camila Dias; Pedro Pereira Rodrigues (CBMS, 2017)

Improving Diagnosis in Obstructive Sleep Apnea with Clinical Data: A Bayesian Network Approach. - Daniela Ferreira Santos; Pedro Pereira Rodrigues (CBMS, 2017)

Finding Groups in Obstructive Sleep Apnea Patients: A Categorical Cluster Analysis. - Daniela Ferreira Santos; Pedro Pereira Rodrigues (CBMS, 2018)

Phenotyping Obstructive Sleep Apnea Patients: A First Approach to Cluster Visualization. - Daniela Ferreira Santos; Pedro Pereira Rodrigues (EFMI-STC, 2018)

Sifting Through Chaos: Extracting Information from Unstructured Legal Opinions. - Bruno Miguel Oliveira; Rui Vasconcellos Guimarães; Luís Antunes 002; Pedro Pereira Rodrigues (MIE, 2018)

Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis. - Daniela Ferreira Santos; Matilde Monteiro-Soares; Pedro Pereira Rodrigues (MIE, 2018)

Modeling the Dynamics of Multiple Disease Occurrence by Latent States. - Marcos L. P. Bueno; Arjen Hommersom; Peter J. F. Lucas; Mariana Lobo; Pedro Pereira Rodrigues (SUM, 2018)

Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network. - Pedro Pereira Rodrigues; Daniela Ferreira Santos; Ana Silva; Jorge Polónia; Inês Ribeiro-Vaz (Artif. Intell. Medicine, 2018)

Three controversies in health data science. - Niels Peek; Pedro Pereira Rodrigues (Int. J. Data Sci. Anal., 2018)

A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks. - Pedro Pereira Rodrigues; João Araújo 002; João Gama 001; Luís M. B. Lopes (Int. J. Distributed Sens. Networks, 2018)

Illegitimate HIS access by healthcare professionals: scenarios, use cases and audit trail-based detection model. - Liliana Sá-Correia; Ricardo Cruz-Correia; Pedro Pereira Rodrigues (CENTERIS/ProjMAN/HCist, 2019)

Predicting Blood Donations in a Tertiary Care Center Using Time Series Forecasting. - Francisco Bischoff; Maria do Carmo Koch; Pedro Pereira Rodrigues (EFMI-STC, 2019)

MNAR Imputation with Distributed Healthcare Data. - Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu (EPIA (2), 2019)

A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches. - Daniela Ferreira Santos; Pedro Pereira Rodrigues (Int. J. Data Sci. Anal., 2019)

Correction to: A clinical risk matrix for obstructive sleep apnea using Bayesian network approaches. - Daniela Ferreira Santos; Pedro Pereira Rodrigues (Int. J. Data Sci. Anal., 2019)

Guest Editorial Small Things and Big Data: Controversies and Challenges in Digital Healthcare. - Panagiotis D. Bamidis; Stathis Th. Konstantinidis; Pedro Pereira Rodrigues; Sameer K. Antani; Daniela Giordano (IEEE J. Biomed. Health Informatics, 2019)

Informatics as Support for Changes in Health Policy: A Case in Obstetrics. - Giovana Jaskulski Gelatti; Pedro Pereira Rodrigues; Ricardo João Cruz Correia (HEALTHINF, 2020)

Missing Image Data Imputation using Variational Autoencoders with Weighted Loss. - Ricardo Cardoso Pereira; Joana Cristo Santos; José Pereira Amorim; Pedro Pereira Rodrigues; Pedro Henriques Abreu (ESANN, 2020)

VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (IJCNN, 2020)

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes. - Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Pereira Rodrigues; Pedro Henriques Abreu (J. Artif. Intell. Res., 2020)

tsmp: An R Package for Time Series with Matrix Profile. - Francisco Bischoff; Pedro Pereira Rodrigues (R J., 2020)

Congenital Heart Disease Detection Using Clinical Data and Auscultation Heart Sounds: a Machine Learning Approach. - Solange Belinha; Bruno Miguel Oliveira; Pedro Pereira Rodrigues (SMARTERCARE@AI*IA, 2021)

GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy. - João Coutinho-Almeida; Pedro Pereira Rodrigues; Ricardo João Cruz Correia (DS, 2021)

CMIID: A comprehensive medical information identifier for clinical search harmonization in Data Safe Havens. - Michael A. P. Domingues; Rui Camacho; Pedro Pereira Rodrigues (J. Biomed. Informatics, 2021)

Dataset Comparison Tool: Utility and Privacy. - João Coutinho-Almeida; Ricardo João Cruz Correia; Pedro Pereira Rodrigues (MIE, 2022)

Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (IEEE J. Biomed. Health Informatics, 2022)

Siamese Autoencoder-Based Approach for Missing Data Imputation. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (ICCS (1), 2023)

Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation. - Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Mário A. T. Figueiredo; Pedro Henriques Abreu (ICCS (1), 2023)

Finding Groups in the Portuguese Population Through Lifestyle: A Cross-Sectional Study. - Andreia Teixeira; Rosália Páscoa; Carlos Martins; Pedro Pereira Rodrigues (MIE, 2024)

Imputation of data Missing Not at Random: Artificial generation and benchmark analysis. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues; Mário A. T. Figueiredo (Expert Syst. Appl., 2024)

Call for Papers: Data Generation in Healthcare Environments. - Ricardo Cardoso Pereira; Pedro Pereira Rodrigues; Irina S. Moreira; Pedro Henriques Abreu (J. Biomed. Informatics, 2024)

Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random. - Ricardo Cardoso Pereira; Pedro Henriques Abreu; Pedro Pereira Rodrigues (J. Comput. Sci., 2024)