Pedro Pereira Rodrigues

According to our database1, Pedro Pereira Rodrigues authored at least 70 papers between 2004 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
tsmp: An R Package for Time Series with Matrix Profile.
CoRR, 2019

MNAR Imputation with Distributed Healthcare Data.
Proceedings of the Progress in Artificial Intelligence, 2019

Predicting Blood Donations in a Tertiary Care Center Using Time Series Forecasting.
Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

2018
A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks.
IJDSN, 2018

Three controversies in health data science.
Int. J. Data Sci. Anal., 2018

Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network.
Artificial Intelligence in Medicine, 2018

Modeling the Dynamics of Multiple Disease Occurrence by Latent States.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Sifting Through Chaos: Extracting Information from Unstructured Legal Opinions.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Phenotyping Obstructive Sleep Apnea Patients: A First Approach to Cluster Visualization.
Proceedings of the Decision Support Systems and Education, 2018

Finding Groups in Obstructive Sleep Apnea Patients: A Categorical Cluster Analysis.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
Improving Diagnosis in Obstructive Sleep Apnea with Clinical Data: A Bayesian Network Approach.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Bringing Bayesian Networks to Bedside: A Web-Based Framework.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Disabling and Reoperation in Patients with Crohn's Disease Subject to Early Surgery or Immunosuppression: A Bayesian Network Prognostic Model.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality.
Data Min. Knowl. Discov., 2015

Medical Mining: KDD 2015 Tutorial.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Predicting Within-24h Visualisation of Hospital Clinical Reports Using Bayesian Networks.
Proceedings of the Progress in Artificial Intelligence, 2015

Obstructive Sleep Apnea Diagnosis: The Bayesian Network Model Revisited.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Preliminary Study for a Bayesian Network Prognostic Model for Crohn's Disease.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
Distributed clustering of ubiquitous data streams.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Enhancing data stream predictions with reliability estimators and explanation.
Eng. Appl. of AI, 2014

Can We Avoid Unnecessary Polysomnographies in the Diagnosis of Obstructive Sleep Apnea? A Bayesian Network Decision Support Tool.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Need and Requirements Elicitation for Electronic Access to Patient's Medication History in the Emergency Department.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
On evaluating stream learning algorithms.
Machine Learning, 2013

Analysis of the quality of hospital information systems audit trails.
BMC Med. Inf. & Decision Making, 2013

Log Analysis of Human Computer Interactions Regarding Break The Glass Accesses to Genetic Reports.
Proceedings of the ICEIS 2013, 2013

Contextual anomalies in medical data.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

An automatic clinical document importance estimator for an existing electronic patient record - Architecture and implementation.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Predicting visualization of hospital clinical reports using survival analysis of access logs from a virtual patient record.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Learner's satisfaction within a breast imaging eLearning course for radiographers.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Telenursing in colorectal cancer patient follow-up and treatment assessment: A mixed methods evaluation study.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Learning from ubiquitous data streams: Clustering data and data sources.
AI Commun., 2012

The Relevance of DICOM-RT in Radiotherapy Information Systems - Preliminary Results from a National Survey.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

Compliance of Publicly Available Mammographic Databases with Established Case Selection and Annotation Requirements.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

Applying TOC Buffer Management in Health Information Systems to Improve Hospital Performance.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
Clustering distributed sensor data streams using local processing and reduced communication.
Intell. Data Anal., 2011

L2GClust: local-to-global clustering of stream sources.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Traceability of Patient Records Usage: Barriers and Opportunities for Improving User Interface Design and Data Management.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate.
Proceedings of the Man-Machine Interactions 2, 2011

Decision Support Systems and Technologies used in Periodontology.
Proceedings of the HEALTHINF 2011, 2011

Automatic Organ Delineation of Computed Tomography Images for Radiotherapy Planning in Prostate Cancer - An Overview.
Proceedings of the HEALTHINF 2011, 2011

Main Barriers for Quality Data Collection in EHR - A Review.
Proceedings of the HEALTHINF 2011, 2011

Modeling Decisions for Hospital Bed Management - A Review.
Proceedings of the HEALTHINF 2011, 2011

The Importance of System Integration in Intensive Care Units - A Review.
Proceedings of the HEALTHINF 2011, 2011

The Red Dot System - Emergency Diagnosis Impact and Digital Radiology Implementation: A Review.
Proceedings of the HEALTHINF 2011, 2011

Key Issues and Future Perspectives on Identity Management in eHealth - A Review.
Proceedings of the HEALTHINF 2011, 2011

2010
Knowledge Discovery from Data Streams.
Proceedings of the Web Intelligence and Security, 2010

2009
An Overview on Mining Data Streams.
Proceedings of the Foundations of Computational Intelligence - Volume 6: Data Mining, 2009

Learning from Data Streams.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Data Streams.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A system for analysis and prediction of electricity-load streams.
Intell. Data Anal., 2009

Evaluating algorithms that learn from data streams.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Issues in evaluation of stream learning algorithms.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Change Detection in Climate Data over the Iberian Peninsula.
Proceedings of the ICDM Workshops 2009, 2009

2008
Hierarchical Clustering of Time-Series Data Streams.
IEEE Trans. Knowl. Data Eng., 2008

Clustering Distributed Sensor Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Monitoring Incremental Histogram Distribution for Change Detection in Data Streams.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

A Simple Dense Pixel Visualization for Mobile Sensor Data Mining.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

BIORED - A Genetic Algorithm for Pattern Detection in Biosequences.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Online Reliability Estimates for Individual Predictions in Data Streams.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Robust Division in Clustering of Streaming Time Series.
Proceedings of the ECAI 2008, 2008

2007
Stream-Based Electricity Load Forecast.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering.
Proceedings of the Progress in Artificial Intelligence, 2007

2006
An Overview on Learning from Data Streams.
New Generation Comput., 2006

ODAC: Hierarchical Clustering of Time Series Data Streams.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2005
Learning decision trees from dynamic data streams.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
Learning with Drift Detection.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004


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