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ORCIDPeter J. F. Lucas
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- affiliation: Radboud University Nijmegen, Netherlands
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2020 – today
- 2024
[j51]Rosa Sicilia, Linlin Shen, Alejandro Rodríguez González, KC Santosh, Peter J. F. Lucas:
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. Artif. Intell. Medicine 156: 102954 (2024)- 2023
- [j50]Diah Harnoni Apriyanti
, Luuk J. Spreeuwers, Peter J. F. Lucas:
Deep neural networks for explainable feature extraction in orchid identification. Appl. Intell. 53(21): 26270-26285 (2023) - [j49]Juliane Müller-Sielaff, Seyed Behnam Beladi, Stephanie W. Vrede, Monique Meuschke, Peter J. F. Lucas, Johanna M. A. Pijnenborg, Steffen Oeltze-Jafra:
Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support. IEEE Trans. Vis. Comput. Graph. 29(8): 3602-3616 (2023) - [c85]Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Antonio Stella:
Towards a Transportable Causal Network Model Based on Observational Healthcare Data. HC@AIxIA 2023: 67-82 - [c84]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME 2023: 40-44 - [c83]Giso H. Dal, Alfons Laarman, Peter J. F. Lucas:
ParaGnosis: A Tool for Parallel Knowledge Compilation. SPIN 2023: 22-37 - [i5]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. CoRR abs/2305.10041 (2023) - [i4]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Causal Discovery with Missing Data in a Multicentric Clinical Study. CoRR abs/2305.10050 (2023) - [i3]Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Stella:
Towards a Transportable Causal Network Model Based on Observational Healthcare Data. CoRR abs/2311.08427 (2023) - 2022
- [c82]Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella:
Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. HC@AIxIA 2022: 1-15 - 2021
- [j48]Giso H. Dal, Alfons W. Laarman, Arjen Hommersom, Peter J. F. Lucas:
A compositional approach to probabilistic knowledge compilation. Int. J. Approx. Reason. 138: 38-66 (2021) - [c81]Anna Kleinau, Alex Mo, Juliane Müller-Sielaff, Johanna M. A. Pijnenborg, Peter J. F. Lucas, Steffen Oeltze-Jafra:
User-Centered Development of a Clinical Decision Support System. SMARTERCARE@AI*IA 2021: 67-78 - 2020
- [c80]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas:
Temporal Exceptional Model Mining Using Dynamic Bayesian Networks. AALTD@PKDD/ECML 2020: 97-112
2010 – 2019
- 2019
- [j47]Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas, Lonneke Boer, Erik Bischoff:
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. Artif. Intell. Medicine 95: 104-117 (2019) - [j46]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing:
A probabilistic framework for predicting disease dynamics: A case study of psychotic depression. J. Biomed. Informatics 95 (2019) - [c79]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing:
A Data-Driven Exploration of Hypotheses on Disease Dynamics. AIME 2019: 170-179 - 2018
- [c78]Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas:
Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. IPMU (3) 2018: 565-577 - [c77]Giso H. Dal, Alfons W. Laarman, Peter J. F. Lucas:
Parallel Probabilistic Inference by Weighted Model Counting. PGM 2018: 97-108 - [c76]Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas:
Making Continuous Time Bayesian Networks More Flexible. PGM 2018: 237-248 - [c75]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Mariana Lobo, Pedro Pereira Rodrigues:
Modeling the Dynamics of Multiple Disease Occurrence by Latent States. SUM 2018: 93-107 - 2017
- [j45]Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas:
Hybrid time Bayesian networks. Int. J. Approx. Reason. 80: 460-474 (2017) - [j44]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Alexis Linard:
Asymmetric hidden Markov models. Int. J. Approx. Reason. 88: 169-191 (2017) - [j43]Giso H. Dal, Peter J. F. Lucas:
Weighted positive binary decision diagrams for exact probabilistic inference. Int. J. Approx. Reason. 90: 411-432 (2017) - [j42]Hossein Amirkhani, Mohammad Rahmati, Peter J. F. Lucas, Arjen Hommersom:
Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2154-2170 (2017) - [c74]Peter J. F. Lucas, Giso H. Dal, Steffen Michels:
Reducing the Cost of Probabilistic Knowledge Compilation. AMBN 2017: 141-152 - [c73]Marcos Luiz de Paula Bueno, Arjen Hommersom, Peter J. F. Lucas:
An improved diagnostic method for probabilistic consistency-based diagnosis. DX 2017: 65-77 - 2016
- [j41]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Martijn Lappenschaar, Joost G. E. Janzing:
Understanding disease processes by partitioned dynamic Bayesian networks. J. Biomed. Informatics 61: 283-297 (2016) - [c72]Steffen Michels, Arjen Hommersom, Peter J. F. Lucas:
Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming. IJCAI 2016: 3616-3622 - [c71]Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard:
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case. Probabilistic Graphical Models 2016: 50-61 - [c70]Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas:
Learning Parameters of Hybrid Time Bayesian Networks. Probabilistic Graphical Models 2016: 287-298 - [i2]Giso H. Dal, Peter J. F. Lucas:
Weighted Positive Binary Decision Diagrams for Exact Probabilistic Inference. CoRR abs/1610.05551 (2016) - 2015
- [j40]Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova:
A new probabilistic constraint logic programming language based on a generalised distribution semantics. Artif. Intell. 228: 1-44 (2015) - [j39]Marina Velikova, Peter J. F. Lucas, Maarten van der Heijden:
Intelligent Disease Self-Management with Mobile Technology. Computer 48(2): 32-39 (2015) - [j38]Peter J. F. Lucas, Arjen Hommersom:
Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks. Int. J. Intell. Syst. 30(3): 209-235 (2015) - [c69]Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal:
Mining Hierarchical Pathology Data Using Inductive Logic Programming. AIME 2015: 76-85 - [c68]Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas:
Hybrid Time Bayesian Networks. ECSQARU 2015: 376-386 - [p7]Peter J. F. Lucas, Arjen Hommersom:
How to Read the Book "Foundations of Biomedical Knowledge Representation". Foundations of Biomedical Knowledge Representation 2015: 3-7 - [p6]Arjen Hommersom, Peter J. F. Lucas:
An Introduction to Knowledge Representation and Reasoning in Healthcare. Foundations of Biomedical Knowledge Representation 2015: 9-32 - [p5]Peter J. F. Lucas, Felipe Orihuela-Espina:
Representing Knowledge for Clinical Diagnostic Reasoning. Foundations of Biomedical Knowledge Representation 2015: 35-45 - [e4]Arjen Hommersom, Peter J. F. Lucas:
Foundations of Biomedical Knowledge Representation - Methods and Applications. Lecture Notes in Computer Science 9521, Springer 2015, ISBN 978-3-319-28006-6 [contents] - 2014
- [j37]Marina Velikova, Josien Terwisscha van Scheltinga, Peter J. F. Lucas, Marc Spaanderman:
Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare. Int. J. Approx. Reason. 55(1): 59-73 (2014) - [j36]Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas:
Qualitative chain graphs and their application. Int. J. Approx. Reason. 55(4): 957-976 (2014) - [j35]Maarten van der Heijden, Marina Velikova, Peter J. F. Lucas:
Learning Bayesian networks for clinical time series analysis. J. Biomed. Informatics 48: 94-105 (2014) - [c67]Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova:
Imprecise Probabilistic Horn Clause Logic. ECAI 2014: 621-626 - 2013
- [j34]Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer:
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. Artif. Intell. Medicine 57(1): 73-86 (2013) - [j33]Arjen Hommersom, Peter J. F. Lucas:
Probabilistic problem solving in biomedicine. Artif. Intell. Medicine 57(3): 169-170 (2013) - [j32]Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas, Joep Lagro, Stefan Visscher:
Multilevel Bayesian networks for the analysis of hierarchical health care data. Artif. Intell. Medicine 57(3): 171-183 (2013) - [j31]Maarten van der Heijden, Peter J. F. Lucas:
Describing disease processes using a probabilistic logic of qualitative time. Artif. Intell. Medicine 59(3): 143-155 (2013) - [j30]Maarten van der Heijden, Peter J. F. Lucas, Bas Lijnse, Yvonne F. Heijdra, Tjard R. J. Schermer:
An autonomous mobile system for the management of COPD. J. Biomed. Informatics 46(3): 458-469 (2013) - [c66]Arjen Hommersom, Sicco Verwer, Peter J. F. Lucas:
Discovering Probabilistic Structures of Healthcare Processes. KR4HC/ProHealth 2013: 53-67 - [c65]Martijn Lappenschaar, Arjen Hommersom, Joep Lagro, Peter J. F. Lucas:
Understanding the Co-occurrence of Diseases Using Structure Learning. AIME 2013: 135-144 - [c64]Arjen Hommersom, Peter J. F. Lucas, Marina Velikova, Giso H. Dal, Joaquim Bastos, Jonathan Rodriguez, Marleen Germs, Henk Schwietert:
MoSHCA - my mobile and smart health care assistant. Healthcom 2013: 188-192 - [c63]Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova, Pieter W. M. Koopman:
Inference for a New Probabilistic Constraint Logic. IJCAI 2013: 2540-2546 - [c62]Steffen Michels, Marina Velikova, Arjen Hommersom, Peter J. F. Lucas:
A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks. SMC 2013: 663-668 - [e3]Pedro Pereira Rodrigues, Mykola Pechenizkiy, João Gama, Ricardo Cruz-Correia, Jiming Liu, Agma J. M. Traina, Peter J. F. Lucas, Paolo Soda:
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013. IEEE Computer Society 2013, ISBN 978-1-4799-1053-3 [contents] - 2012
- [j29]Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer:
A probabilistic framework for image information fusion with an application to mammographic analysis. Medical Image Anal. 16(4): 865-875 (2012) - [c61]Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas:
Probabilistic Causal Models of Multimorbidity Concepts. AMIA 2012 - [c60]Steffen Michels, Marina Velikova, Peter J. F. Lucas:
Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains. Australasian Conference on Artificial Intelligence 2012: 890-901 - [c59]Maarten van der Heijden, Peter J. F. Lucas:
Probabilistic models for smart monitoring. CBMS 2012: 1-6 - [c58]Marina Velikova, Peter J. F. Lucas, Ruben L. Smeets, Josien Terwisscha van Scheltinga:
Fully-automated interpretation of biochemical tests for decision support by smartphones. CBMS 2012: 1-6 - [e2]Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas:
ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012. Frontiers in Artificial Intelligence and Applications 242, IOS Press 2012, ISBN 978-1-61499-097-0 [contents] - 2011
- [c57]Maarten van der Heijden, Bas Lijnse, Peter J. F. Lucas, Yvonne F. Heijdra, Tjard R. J. Schermer:
Managing COPD Exacerbations with Telemedicine. AIME 2011: 169-178 - [c56]Marina Velikova, Peter J. F. Lucas, Marc Spaanderman:
A Predictive Bayesian Network Model for Home Management of Preeclampsia. AIME 2011: 179-183 - [c55]Sander Evers, Peter J. F. Lucas:
Marginalization without Summation Exploiting Determinism in Factor Algebra. ECSQARU 2011: 251-262 - [c54]Arjen Hommersom, Peter J. F. Lucas:
Generalising the Interaction Rules in Probabilistic Logic. IJCAI 2011: 912-917 - [p4]Arjen Hommersom, Peter J. F. Lucas, René Waarsing, Pieter W. M. Koopman:
Applying Bayesian Networks for Intelligent Adaptable Printing Systems. Solutions on Embedded Systems 2011: 201-213 - 2010
- [j28]Stijn Hoppenbrouwers, Bart Schotten, Peter J. F. Lucas:
Towards Games for Knowledge Acquisition and Modeling. Int. J. Gaming Comput. Mediat. Simulations 2(4): 48-66 (2010) - [c53]Niels Radstake, Peter J. F. Lucas, Marina Velikova, Maurice Samulski:
Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning. KR4HC 2010: 56-69 - [c52]Arjen Hommersom, Peter J. F. Lucas:
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive. ECAI 2010: 401-406 - [c51]Marina Velikova, Peter J. F. Lucas, Marc Spaanderman:
e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders. eHealth 2010: 267-274 - [c50]Marina Velikova, Peter J. F. Lucas, Nico Karssemeijer:
Using Local Context Information to Improve Automatic Mammographic Mass Detection. MedInfo 2010: 1291-1295 - [c49]Saskia Robben, Marina Velikova, Peter J. F. Lucas, Maurice Samulski:
Discretisation Does Affect the Performance of Bayesian Networks. SGAI Conf. 2010: 237-250
2000 – 2009
- 2009
- [j27]Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban:
Using model checking for critiquing based on clinical guidelines. Artif. Intell. Medicine 46(1): 19-36 (2009) - [j26]Stefan Visscher, Peter J. F. Lucas, Carolina A. M. Schurink, Marc J. M. Bonten:
Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. Artif. Intell. Medicine 46(3): 251-266 (2009) - [j25]Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas:
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. 36(2): 1249-1258 (2009) - [c48]Maarten van der Heijden, Peter J. F. Lucas:
Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems. KR4HC 2009: 100-112 - [c47]Marina Velikova, Maurice Samulski, Peter J. F. Lucas, Nico Karssemeijer:
Causal Probabilistic Modelling for Two-View Mammographic Analysis. AIME 2009: 395-404 - [c46]Nivea de Carvalho Ferreira, Peter J. F. Lucas:
Modelling Screening Mammography Images: A Probabilistic Relational Approach. AIME 2009: 405-409 - [c45]Nivea de Carvalho Ferreira, Peter J. F. Lucas:
Probabilistic relational modelling of mammographic images. CBMS 2009: 1-8 - [c44]Ildikó Flesch, Peter J. F. Lucas:
The Probabilistic Interpretation of Model-Based Diagnosis. ECSQARU 2009: 204-215 - [c43]Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas:
Integrating Logical Reasoning and Probabilistic Chain Graphs. ECML/PKDD (1) 2009: 548-563 - [c42]Arjen Hommersom, Peter J. F. Lucas, René Waarsing, Pieter W. M. Koopman:
Applying Bayesian networks for intelligent adaptable printing systems. WISES 2009: 127-133 - 2008
- [j24]Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas:
Explaining clinical decisions by extracting regularity patterns. Decis. Support Syst. 44(2): 397-408 (2008) - [j23]Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide:
A generic qualitative characterization of independence of causal influence. Int. J. Approx. Reason. 48(1): 214-236 (2008) - [j22]Marcel van Gerven, Babs G. Taal, Peter J. F. Lucas:
Dynamic Bayesian networks as prognostic models for clinical patient management. J. Biomed. Informatics 41(4): 515-529 (2008) - [j21]Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel:
Checking the quality of clinical guidelines using automated reasoning tools. Theory Pract. Log. Program. 8(5-6): 611-641 (2008) - [c41]Marina Velikova, Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas:
Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. AIMSA 2008: 333-344 - [c40]Marina Velikova, Peter J. F. Lucas, Nivea de Carvalho Ferreira, Maurice Samulski, Nico Karssemeijer:
A decision support system for breast cancer detection in screening programs. ECAI 2008: 658-662 - [c39]Ildikó Flesch, Peter J. F. Lucas:
Combining Abduction with Conflict-based Diagnosis. ECAI 2008: 807-808 - [p3]Arjen Hommersom, Perry Groot, Michael Balser, Peter J. F. Lucas:
Formal Methods for Verification of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols 2008: 63-80 - [p2]Perry Groot, Arjen Hommersom, Peter J. F. Lucas:
Adaptation of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols 2008: 121-139 - [p1]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Mar Marcos, Begoña Martínez-Salvador:
A Constraint-based Approach to Medical Guidelines and Protocols. Computer-based Medical Guidelines and Protocols 2008: 213-222 - [e1]Annette ten Teije, Silvia Miksch, Peter J. F. Lucas:
Computer-based Medical Guidelines and Protocols: A Primer and Current Trends. Studies in Health Technology and Informatics 139, IOS Press 2008, ISBN 978-1-58603-873-1 [contents] - [i1]Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel:
Checking the Quality of Clinical Guidelines using Automated Reasoning Tools. CoRR abs/0806.0250 (2008) - 2007
- [j20]Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas:
Predicting carcinoid heart disease with the noisy-threshold classifier. Artif. Intell. Medicine 40(1): 45-55 (2007) - [j19]Marcel van Gerven, Francisco Javier Díez, Babs G. Taal, Peter J. F. Lucas:
Selecting treatment strategies with dynamic limited-memory influence diagrams. Artif. Intell. Medicine 40(3): 171-186 (2007) - [j18]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt:
Combining task execution and background knowledge for the verification of medical guidelines. Knowl. Based Syst. 20(2): 113-119 (2007) - [j17]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt:
Verification of Medical Guidelines Using Background Knowledge in Task Networks. IEEE Trans. Knowl. Data Eng. 19(6): 832-846 (2007) - [c38]Stefan Visscher, Peter J. F. Lucas, Ildikó Flesch, Karin Schurink:
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes. AIME 2007: 87-96 - [c37]Marina Velikova, Nivea de Carvalho Ferreira, Peter J. F. Lucas:
Bayesian Network Decomposition for Modeling Breast Cancer Detection. AIME 2007: 346-350 - [c36]Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen:
The Role of Model Checking in Critiquing Based on Clinical Guidelines. AIME 2007: 411-420 - [c35]Arjen Hommersom, Peter J. F. Lucas:
Actions with Failures in Interval Temporal Logic. CLIMA 2007: 22-41 - [c34]Ildikó Flesch, Peter J. F. Lucas:
Independence Decomposition in Dynamic Bayesian Networks. ECSQARU 2007: 560-571 - [c33]Ildikó Flesch, Peter J. F. Lucas, Theo P. van der Weide:
Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis. IJCAI 2007: 380- - [c32]Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas, Perry Groot:
Classification of mammographic masses using support vector machines and Bayesian networks. Medical Imaging: Computer-Aided Diagnosis 2007: 65141J - 2006
- [j16]Annette ten Teije, Mar Marcos, Michael Balser, Joyce van Croonenborg, Christoph Duelli, Frank van Harmelen, Peter J. F. Lucas, Silvia Miksch, Wolfgang Reif, Kitty Rosenbrand, Andreas Seyfang:
Improving medical protocols by formal methods. Artif. Intell. Medicine 36(3): 193-209 (2006) - [j15]Peter J. F. Lucas, José A. Gámez, Antonio Salmerón:
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reason. 42(1-2): 1-3 (2006) - [j14]Chris J. Price, Louise Travé-Massuyès, Robert Milne, Liliana Ironi, Kenneth D. Forbus, Bert Bredeweg, Mark H. Lee, Peter Struss, N. A. Snooke, Peter J. F. Lucas, Marc Cavazza, George Macleod Coghill:
Qualitative futures. Knowl. Eng. Rev. 21(4): 317-334 (2006) - [c31]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt:
Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI 2006: 835-836 - [c30]Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt:
Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines. SGAI Conf. 2006: 3-16 - [c29]Ildikó Flesch, Peter J. F. Lucas:
Graphical Reasoning with Bayesian Networks. SGAI Conf. 2006: 71-84 - 2005
- [j13]Peter J. F. Lucas:
Bayesian network modelling through qualitative patterns. Artif. Intell. 163(2): 233-263 (2005) - [j12]Rasa Jurgelenaite, Peter J. F. Lucas:
Exploiting causal independence in large Bayesian networks. Knowl. Based Syst. 18(4-5): 153-162 (2005) - [c28]Stefan Visscher, Peter J. F. Lucas, Karin Schurink, Marc Bonten:
Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. AIME 2005: 48-52 - [c27]Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel, Theo P. van der Weide:
A History-Based Algebra for Quality-Checking Medical Guidelines. AIME 2005: 161-165 - [c26]Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel:
Argumentation Systems for History-Based Construction of Medical Guidelines. BNAIC 2005: 135-142 - [c25]Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes:
Use of the Noisy Threshold Function in Building Bayesian Networks. BNAIC 2005: 158-165 - [c24]Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide:
A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. ECSQARU 2005: 244-256 - [c23]Stefan Visscher, Peter J. F. Lucas, Marc Bonten, Karin Schurink:
Improving the Therapeutic Performance of a Medical Bayesian Network Using Noisy Threshold Models. ISBMDA 2005: 161-172 - [c22]Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes:
Exploring the Noisy Threshold Function in Designing Bayesian Networks. SGAI Conf. 2005: 133-146 - 2004
- [j11]Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna:
Bayesian networks in biomedicine and health-care. Artif. Intell. Medicine 30(3): 201-214 (2004) - [c21]Michael Balser, Óscar Coltell, Joyce van Croonenborg, Christoph Duelli, Frank van Harmelen, Albert Jovell, Peter J. F. Lucas, Mar Marcos, Silvia Miksch, Wolfgang Reif, Kitty Rosenbrand, Andreas Seyfang, Annette ten Teije:
Protocure: Supporting the Development of Medical Protocols through Formal Methods. CGP 2004: 103-107 - [c20]Peter J. F. Lucas, Ruud Kuipers, Frederick Feith:
A System for Pacemaker Treatment Advice. ECAI 2004: 735-739 - [c19]Rasa Jurgelenaite, Peter J. F. Lucas:
Parameter Estimation in Large Causal Models. ECAI 2004: 1037-1038 - [c18]Marcel van Gerven, Peter J. F. Lucas:
Employing Maximum Mutual Information for Bayesian Classification. ISBMDA 2004: 188-199 - [c17]Arjen Hommersom, Peter J. F. Lucas, Michael Balser:
Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving. JELIA 2004: 654-666 - [c16]Rasa Jurgelenaite, Peter J. F. Lucas:
Exploiting Causal Independence in Large Bayesian Networks. SGAI Conf. 2004: 157-170 - [c15]Marcel van Gerven, Peter J. F. Lucas:
Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. SGAI Conf. 2004: 269-282 - 2003
- [c14]Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas:
Finding and Explaining Optimal Treatments. AIME 2003: 299-303 - [c13]Kenneth N. Brown, Peter J. F. Lucas, David W. Fowler:
Decision Network Semantics of Branching Constraint Satisfaction Problems. ECSQARU 2003: 230-242 - [c12]Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas:
Optimal Decision Explanation by Extracting Regularity Patterns. SGAI Conf. 2003: 283-294 - [c11]Peter J. F. Lucas:
Quality Checking of Medical Guidelines through Logical Abduction. SGAI Conf. 2003: 309-321 - 2002
- [c10]Peter J. F. Lucas:
Bayesian Network Modelling by Qualitative Patterns. ECAI 2002: 690-694 - [c9]Peter J. F. Lucas:
Restricted Bayesian Network Structure Learning. Probabilistic Graphical Models 2002 - 2001
- [j10]Peter J. F. Lucas:
Bayesian model-based diagnosis. Int. J. Approx. Reason. 27(2): 99-119 (2001) - [j9]Peter J. F. Lucas:
Certainty-factor-like structures in Bayesian belief networks. Knowl. Based Syst. 14(7): 327-335 (2001) - [c8]Peter J. F. Lucas:
Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal. AIME 2001: 156-166 - [c7]Nicolette de Bruijn, Peter J. F. Lucas, Karin Schurink, Marc Bonten, Andy Hoepelman:
Using Temporal Probabilistic Knowledge for Medical Decision Making. AIME 2001: 231-234 - [c6]Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel:
Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME 2001: 283-292 - [c5]Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf Dijkhuizen:
Learning Bayesian-Network Topologies in Realistic Medical Domains. ISMDA 2001: 302-308 - 2000
- [j8]Peter J. F. Lucas, Nicolette de Bruijn, Karin Schurink, Andy Hoepelman:
A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artif. Intell. Medicine 19(3): 251-279 (2000)
1990 – 1999
- 1999
- [j7]Peter J. F. Lucas, Astrid Tholen, Geeske van Oort:
An intelligent system for pacemaker reprogramming. Artif. Intell. Medicine 17(3): 249-269 (1999) - [c4]Peter J. F. Lucas:
Certainty-Factor-Like Structures in Bayesian Networks. AI*IA 1999: 25-36 - [c3]Peter J. F. Lucas, Astrid Tholen, Geeske van Oort:
A Model-Based System for Pacemaker Reprogramming. AIMDM 1999: 175-184 - [c2]Nicolette de Bruijn, Peter J. F. Lucas, Karin Schurink, Andy Hoepelman:
A Probabilistic Approach to Improved Antibiotic Therapy. MIE 1999: 690-695 - 1998
- [j6]Peter J. F. Lucas:
Analysis of Notions of Diagnosis. Artif. Intell. 105(1-2): 295-343 (1998) - [j5]Peter J. F. Lucas, Henk Boot, Babs G. Taal:
A decision-theoretic network approach to treatment management and prognosis. Knowl. Based Syst. 11(5-6): 321-330 (1998) - 1997
- [j4]Peter J. F. Lucas:
Model-based diagnosis in medicine. Artif. Intell. Medicine 10(3): 201-208 (1997) - [c1]Peter J. F. Lucas:
A Theory of Medical Diagnosis as Hypothesis Refinement. AIME 1997: 169-180 - 1995
- [j3]Peter J. F. Lucas:
Logic engineering in medicine. Knowl. Eng. Rev. 10(2): 153-179 (1995) - 1994
- [j2]Peter J. F. Lucas:
Refinement of the HEPAR expert system: tools and techniques. Artif. Intell. Medicine 6(2): 175-188 (1994) - 1993
- [j1]Peter J. F. Lucas:
The representation of medical reasoning models in resolution-based theorem provers. Artif. Intell. Medicine 5(5): 395-414 (1993) - 1991
- [b1]Peter J. F. Lucas, Linda C. van der Gaag:
Principles of expert systems. International computer science series, Addison-Wesley 1991, ISBN 978-0-201-41640-4, pp. I-XVII, 1-518
Coauthor Index
[j48] [c80] [j47] [j46] [c79] [c78] [c76] [c75] [j45] [j44] [j42] [c73] [j41] [c72] [c71] [c70] [j40] [j38] [c69] [c68] [p7] [p6] [e4] [j36] [c67] [j33] [j32] [c66] [c65] [c64] [c63] [c62] [c61] [c54] [p4] [c52] [j27] [c43] [c42] [j21] [p3] [p2] [p1] [i1] [j18] [j17] [c36] [c35] [c31] [c30] [c27] [c26] [c17]
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