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ORCIDMarina Velikova
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2010 – 2019
- 2019
[c19]Marina Velikova, Carmen Bratosin, Alexander Ypma, Vera Lemmen, Robert Jan van Wijk:
Assisted Diagnostics Methodology for Complex High-Tech Applications. ICSRS 2019: 457-463- [c18]Jack Sleuters, Yonghui Li, Jacques Verriet
, Marina Velikova, Richard Doornbos:
A Digital Twin Method for Automated Behavior Analysis of Large-Scale Distributed IoT Systems. SoSE 2019: 7-12 - 2015
- [j10]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) - [j9]Marina Velikova, Peter J. F. Lucas, Maarten van der Heijden:
Intelligent Disease Self-Management with Mobile Technology. Computer 48(2): 32-39 (2015) - [p1]Marina Velikova, Inês Dutra, Elizabeth S. Burnside:
Automated Diagnosis of Breast Cancer on Medical Images. Foundations of Biomedical Knowledge Representation 2015: 47-67 - 2014
- [j8]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) - [j7]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) - [c17]Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova:
Imprecise Probabilistic Horn Clause Logic. ECAI 2014: 621-626 - [c16]Marina Velikova, Peter Novák, Bas Huijbrechts, Jan Laarhuis, Jesper Hoeksma, Steffen Michels:
An Integrated Reconfigurable System for Maritime Situational Awareness. ECAI 2014: 1197-1202 - 2013
- [j6]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) - [c15]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 - [c14]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 - [c13]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 - 2012
- [j5]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) - [c12]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 - [c11]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 - 2011
- [c10]Marina Velikova, Peter J. F. Lucas, Marc Spaanderman:
A Predictive Bayesian Network Model for Home Management of Preeclampsia. AIME 2011: 179-183 - 2010
- [j4]Alexey Minin, Marina Velikova, Bernhard Lang, Hennie Daniels:
Comparison of universal approximators incorporating partial monotonicity by structure. Neural Networks 23(4): 471-475 (2010) - [j3]Hennie Daniels, Marina Velikova:
Monotone and partially monotone neural networks. IEEE Trans. Neural Networks 21(6): 906-917 (2010) - [c9]Niels Radstake, Peter J. F. Lucas, Marina Velikova, Maurice Samulski:
Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning. KR4HC 2010: 56-69 - [c8]Marina Velikova, Peter J. F. Lucas, Marc Spaanderman:
e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders. eHealth 2010: 267-274 - [c7]Marina Velikova, Peter J. F. Lucas, Nico Karssemeijer:
Using Local Context Information to Improve Automatic Mammographic Mass Detection. MedInfo 2010: 1291-1295 - [c6]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
- [c5]Marina Velikova, Maurice Samulski, Peter J. F. Lucas, Nico Karssemeijer:
Causal Probabilistic Modelling for Two-View Mammographic Analysis. AIME 2009: 395-404 - 2008
- [c4]Marina Velikova, Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas:
Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. AIMSA 2008: 333-344 - [c3]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 - [c2]Marina Velikova, Hennie Daniels, Maurice Samulski:
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms. ICANN (1) 2008: 917-926 - 2007
- [c1]Marina Velikova, Nivea de Carvalho Ferreira, Peter J. F. Lucas:
Bayesian Network Decomposition for Modeling Breast Cancer Detection. AIME 2007: 346-350 - 2006
- [j2]Hennie A. M. Daniels, Marina Velikova:
Derivation of monotone decision models from noisy data. IEEE Trans. Syst. Man Cybern. Syst. 36(5): 705-710 (2006) - 2004
- [j1]Marina Velikova, Hennie Daniels:
Decision trees for monotone price models. Comput. Manag. Sci. 1(3-4): 231-244 (2004)
Coauthor Index
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