2019
Secure Cross-Border Exchange of Health Related Data: The KONFIDO Approach.
Proceedings of the Internet and Distributed Computing Systems, 2019

Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Risk Prediction as a Service: a DSS Architecture Promoting Interoperability and Collaboration.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Comprehensive user requirements engineering methodology for secure and interoperable health data exchange.
BMC Medical Informatics Decis. Mak., 2018

Building an Ethical Framework for Cross-Border Applications: The KONFIDO Project.
Proceedings of the Security in Computer and Information Sciences, 2018

2016
ChainRank, a chain prioritisation method for contextualisation of biological networks.
BMC Bioinform., 2016

From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration.
BMC Bioinform., 2016

2015
An adaptive case management system to support integrated care services: Lessons learned from the NEXES project.
J. Biomed. Informatics, 2015

2010
Container loading for nonorthogonal objects: an approximation using local search and simulated annealing.
Soft Comput., 2010

Edit Constraints on Microaggregation and Additive Noise.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Particle Swarm Optimization for Container Loading of Nonorthogonal Objects.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Evaluation of information loss for privacy preserving data mining through comparison of fuzzy partitions.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Generation of synthetic data by means of fuzzy c-Regression.
Proceedings of the FUZZ-IEEE 2009, 2009

A new framework to automate constrained microaggregation.
Proceedings of the Proceeding of the ACM First International Workshop on Privacy and Anonymity for Very Large Databases, 2009