Peter J. F. Lucas

According to our database1, Peter J. F. Lucas
  • authored at least 118 papers between 1991 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Hybrid time Bayesian networks.
Int. J. Approx. Reasoning, 2017

Weighted positive binary decision diagrams for exact probabilistic inference.
Int. J. Approx. Reasoning, 2017

Asymmetric hidden Markov models.
Int. J. Approx. Reasoning, 2017

2016
Understanding disease processes by partitioned dynamic Bayesian networks.
Journal of Biomedical Informatics, 2016

Weighted Positive Binary Decision Diagrams for Exact Probabilistic Inference.
CoRR, 2016

Learning Parameters of Hybrid Time Bayesian Networks.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks.
Int. J. Intell. Syst., 2015

Intelligent Disease Self-Management with Mobile Technology.
IEEE Computer, 2015

A new probabilistic constraint logic programming language based on a generalised distribution semantics.
Artif. Intell., 2015

Hybrid Time Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Mining Hierarchical Pathology Data Using Inductive Logic Programming.
Proceedings of the Artificial Intelligence in Medicine, 2015

Representing Knowledge for Clinical Diagnostic Reasoning.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

How to Read the Book "Foundations of Biomedical Knowledge Representation".
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

An Introduction to Knowledge Representation and Reasoning in Healthcare.
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015

2014
Learning Bayesian networks for clinical time series analysis.
Journal of Biomedical Informatics, 2014

Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare.
Int. J. Approx. Reasoning, 2014

Qualitative chain graphs and their application.
Int. J. Approx. Reasoning, 2014

Imprecise Probabilistic Horn Clause Logic.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
An autonomous mobile system for the management of COPD.
Journal of Biomedical Informatics, 2013

On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks.
Artificial Intelligence in Medicine, 2013

Multilevel Bayesian networks for the analysis of hierarchical health care data.
Artificial Intelligence in Medicine, 2013

Probabilistic problem solving in biomedicine.
Artificial Intelligence in Medicine, 2013

Describing disease processes using a probabilistic logic of qualitative time.
Artificial Intelligence in Medicine, 2013

A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks.
Proceedings of the IEEE International Conference on Systems, 2013

Inference for a New Probabilistic Constraint Logic.
Proceedings of the IJCAI 2013, 2013

MoSHCA - my mobile and smart health care assistant.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Understanding the Co-occurrence of Diseases Using Structure Learning.
Proceedings of the Artificial Intelligence in Medicine, 2013

Discovering Probabilistic Structures of Healthcare Processes.
Proceedings of the Process Support and Knowledge Representation in Health Care, 2013

2012
A probabilistic framework for image information fusion with an application to mammographic analysis.
Medical Image Analysis, 2012

Fully-automated interpretation of biochemical tests for decision support by smartphones.
Proceedings of CBMS 2012, 2012

Probabilistic models for smart monitoring.
Proceedings of CBMS 2012, 2012

Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Probabilistic Causal Models of Multimorbidity Concepts.
Proceedings of the AMIA 2012, 2012

2011
Generalising the Interaction Rules in Probabilistic Logic.
Proceedings of the IJCAI 2011, 2011

Marginalization without Summation Exploiting Determinism in Factor Algebra.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

A Predictive Bayesian Network Model for Home Management of Preeclampsia.
Proceedings of the Artificial Intelligence in Medicine, 2011

Managing COPD Exacerbations with Telemedicine.
Proceedings of the Artificial Intelligence in Medicine, 2011

2010
Discretisation Does Affect the Performance of Bayesian Networks.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Using Local Context Information to Improve Automatic Mammographic Mass Detection.
Proceedings of the MEDINFO 2010, 2010

e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders.
Proceedings of the Electronic Healthcare - Third International Conference, 2010

Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning.
Proceedings of the Knowledge Representation for Health-Care, 2010

Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive.
Proceedings of the ECAI 2010, 2010

2009
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients.
Expert Syst. Appl., 2009

Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions.
Artificial Intelligence in Medicine, 2009

Using model checking for critiquing based on clinical guidelines.
Artificial Intelligence in Medicine, 2009

Applying Bayesian networks for intelligent adaptable printing systems.
Proceedings of the Seventh Workshop on Intelligent solutions in Embedded Systems, 2009

Integrating Logical Reasoning and Probabilistic Chain Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

The Probabilistic Interpretation of Model-Based Diagnosis.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Probabilistic relational modelling of mammographic images.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

Causal Probabilistic Modelling for Two-View Mammographic Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2009

Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems.
Proceedings of the Knowledge Representation for Health-Care: Data, 2009

Modelling Screening Mammography Images: A Probabilistic Relational Approach.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Checking the quality of clinical guidelines using automated reasoning tools.
TPLP, 2008

Dynamic Bayesian networks as prognostic models for clinical patient management.
Journal of Biomedical Informatics, 2008

A generic qualitative characterization of independence of causal influence.
Int. J. Approx. Reasoning, 2008

Explaining clinical decisions by extracting regularity patterns.
Decision Support Systems, 2008

Checking the Quality of Clinical Guidelines using Automated Reasoning Tools
CoRR, 2008

A decision support system for breast cancer detection in screening programs.
Proceedings of the ECAI 2008, 2008

Combining Abduction with Conflict-based Diagnosis.
Proceedings of the ECAI 2008, 2008

Toward Expert Knowledge Representation for Automatic Breast Cancer Detection.
Proceedings of the Artificial Intelligence: Methodology, 2008

A Constraint-based Approach to Medical Guidelines and Protocols.
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

Formal Methods for Verification of Clinical Practice Guidelines.
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

Adaptation of Clinical Practice Guidelines.
Proceedings of the Computer-based Medical Guidelines and Protocols: A Primer and Current Trends, 2008

2007
Verification of Medical Guidelines Using Background Knowledge in Task Networks.
IEEE Trans. Knowl. Data Eng., 2007

Combining task execution and background knowledge for the verification of medical guidelines.
Knowl.-Based Syst., 2007

Predicting carcinoid heart disease with the noisy-threshold classifier.
Artificial Intelligence in Medicine, 2007

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

Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis.
Proceedings of the IJCAI 2007, 2007

Independence Decomposition in Dynamic Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Actions with Failures in Interval Temporal Logic.
Proceedings of the Computational Logic in Multi-Agent Systems, 8th International Workshop, 2007

Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes.
Proceedings of the Artificial Intelligence in Medicine, 2007

Bayesian Network Decomposition for Modeling Breast Cancer Detection.
Proceedings of the Artificial Intelligence in Medicine, 2007

The Role of Model Checking in Critiquing Based on Clinical Guidelines.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004.
Int. J. Approx. Reasoning, 2006

Improving medical protocols by formal methods.
Artificial Intelligence in Medicine, 2006

Verification of Medical Guidelines Using Task Execution with Background Knowledge.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
Exploiting causal independence in large Bayesian networks.
Knowl.-Based Syst., 2005

Bayesian network modelling through qualitative patterns.
Artif. Intell., 2005

Improving the Therapeutic Performance of a Medical Bayesian Network Using Noisy Threshold Models.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Use of the Noisy Threshold Function in Building Bayesian Networks.
Proceedings of the BNAIC 2005, 2005

Argumentation Systems for History-Based Construction of Medical Guidelines.
Proceedings of the BNAIC 2005, 2005

Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data.
Proceedings of the Artificial Intelligence in Medicine, 2005

A History-Based Algebra for Quality-Checking Medical Guidelines.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
Bayesian networks in biomedicine and health-care.
Artificial Intelligence in Medicine, 2004

Exploiting Causal Independence in Large Bayesian Networks.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving.
Proceedings of the Logics in Artificial Intelligence, 9th European Conference, 2004

Employing Maximum Mutual Information for Bayesian Classification.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

A System for Pacemaker Treatment Advice.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Parameter Estimation in Large Causal Models.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Protocure: Supporting the Development of Medical Protocols through Formal Methods.
Proceedings of the Computer-based Support for Clinical Guidelines and Protocols, 2004

2003
Decision Network Semantics of Branching Constraint Satisfaction Problems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Finding and Explaining Optimal Treatments.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
Restricted Bayesian Network Structure Learning.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Bayesian Network Modelling by Qualitative Patterns.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002

2001
Certainty-factor-like structures in Bayesian belief networks.
Knowl.-Based Syst., 2001

Bayesian model-based diagnosis.
Int. J. Approx. Reasoning, 2001

Learning Bayesian-Network Topologies in Realistic Medical Domains.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems.
Proceedings of the Artificial Intelligence Medicine, 2001

Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal.
Proceedings of the Artificial Intelligence Medicine, 2001

Using Temporal Probabilistic Knowledge for Medical Decision Making.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU.
Artificial Intelligence in Medicine, 2000

1999
An intelligent system for pacemaker reprogramming.
Artificial Intelligence in Medicine, 1999

A Probabilistic Approach to Improved Antibiotic Therapy.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

A Model-Based System for Pacemaker Reprogramming.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

Certainty-Factor-Like Structures in Bayesian Networks.
Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999

1998
A decision-theoretic network approach to treatment management and prognosis.
Knowl.-Based Syst., 1998

Analysis of Notions of Diagnosis.
Artif. Intell., 1998

1997
Model-based diagnosis in medicine.
Artificial Intelligence in Medicine, 1997

A Theory of Medical Diagnosis as Hypothesis Refinement.
Proceedings of the Artificial Intelligence Medicine, 1997

1995
Logic engineering in medicine.
Knowledge Eng. Review, 1995

1994
Refinement of the HEPAR expert system: tools and techniques.
Artificial Intelligence in Medicine, 1994

1993
The representation of medical reasoning models in resolution-based theorem provers.
Artificial Intelligence in Medicine, 1993

1991
Principles of expert systems.
International computer science series, Addison-Wesley, ISBN: 978-0-201-41640-4, 1991


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