Francisco Javier Díez

According to our database1, Francisco Javier Díez authored at least 32 papers between 1993 and 2019.

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

Timeline

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Bibliography

2019
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Decision analysis networks.
Int. J. Approx. Reasoning, 2018

IoT Integration based on Semantic Technologies for Energy Efficiency in Buildings.
Proceedings of the 2018 Global Internet of Things Summit, 2018

Semantic Interoperability for Demand-Response programs: RESPOND project's use case.
Proceedings of the 2018 Global Internet of Things Summit, 2018

2017
Synthesis of Strategies in Influence Diagrams.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Advanced Algorithms for Medical Decision Analysis. Implementation in OpenMarkov.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Optimal sequence of tests for the mediastinal staging of non-small cell lung cancer.
BMC Med. Inf. & Decision Making, 2016

2013
A Probabilistic Graphical Model for Tuning Cochlear Implants.
Proceedings of the Artificial Intelligence in Medicine, 2013

2011
Patient-based Literature Retrieval and Integration - A Use Case for Diabetes and Arterial Hypertension.
Proceedings of the HEALTHINF 2011, 2011

Biomedical Literature Retrieval Based on Patient Information.
Proceedings of the Biomedical Engineering Systems and Technologies, 2011

2010
Variable elimination for influence diagrams with super value nodes.
Int. J. Approx. Reasoning, 2010

2008
Dynamic Exception Handling Based on Web Services and OPC XML-DA.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

2007
Explanation of Bayesian Networks and Influence Diagrams in Elvira.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2007

Selecting treatment strategies with dynamic limited-memory influence diagrams.
Artificial Intelligence in Medicine, 2007

Comparison of Two Types of Event Bayesian Networks: A Case Study.
Applied Artificial Intelligence, 2007

2006
Use of Elvira's explanation facility for debugging probabilistic expert systems.
Knowl.-Based Syst., 2006

Decision analysis with influence diagrams using Elvira's explanation facilities.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Selecting Strategies for Infinite-Horizon Dynamic LIMIDS.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2004
A review of explanation methods for heuristic expert systems.
Knowledge Eng. Review, 2004

Comparative Evaluation of Temporal Nodes Bayesian Networks and Networks of Probabilistic Events in Discrete Time.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

2003
Combining Knowledge from Different Sources in Causal Probabilistic Models.
J. Mach. Learn. Res., 2003

Efficient computation for the noisy MAX.
Int. J. Intell. Syst., 2003

Knowledge Acquisition in PROSTANET - A Bayesian Network for Diagnosing Prostate Cancer.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Construction of a Development Environment for GPMs Based on OO Analysis Patterns.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
A review of explanation methods for Bayesian networks.
Knowledge Eng. Review, 2002

Networks of probabilistic events in discrete time.
Int. J. Approx. Reasoning, 2002

NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time.
Artificial Intelligence in Medicine, 2002

2001
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
Graphical Explanation in Bayesian Networks.
Proceedings of the Medical Data Analysis, First International Symposium, 2000

1997
DIAVAL, a Bayesian expert system for echocardiography.
Artificial Intelligence in Medicine, 1997

1996
Local Conditioning in Bayesian Networks.
Artif. Intell., 1996

1993
Parameter adjustment in Bayes networks. The generalized noisy OR-gate.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993


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