Marina Velikova
Cited by
Cited by
Monotone and partially monotone neural networks
H Daniels, M Velikova
IEEE Transactions on Neural Networks 21 (6), 906-917, 2010
Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare
M Velikova, JT van Scheltinga, PJF Lucas, M Spaanderman
International Journal of Approximate Reasoning 55 (1), 59-73, 2014
Information technology for patient empowerment in healthcare
T Lee, M Adnan, W Bajwa, MJ Ball, S Ballen, C Baur, A Bitton, JJ Carr, ...
Walter de Gruyter GmbH & Co KG, 2015
Improved mammographic CAD performance using multi-view information: a Bayesian network framework
M Velikova, M Samulski, PJF Lucas, N Karssemeijer
Physics in Medicine & Biology 54 (5), 1131, 2009
Learning Bayesian networks for clinical time series analysis
M Van der Heijden, M Velikova, PJF Lucas
Journal of biomedical informatics 48, 94-105, 2014
Derivation of monotone decision models from noisy data
HAM Daniels, MV Velikova
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks
M Velikova, PJF Lucas, M Samulski, N Karssemeijer
Artificial intelligence in medicine 57 (1), 73-86, 2013
MoSHCA-my mobile and smart health care assistant
A Hommersom, PJF Lucas, M Velikova, G Dal, J Bastos, J Rodriguez, ...
2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013
A probabilistic framework for image information fusion with an application to mammographic analysis
M Velikova, PJF Lucas, M Samulski, N Karssemeijer
Medical Image Analysis 16 (4), 865-875, 2012
Comparison of universal approximators incorporating partial monotonicity by structure
A Minin, M Velikova, B Lang, H Daniels
Neural Networks 23 (4), 471-475, 2010
A digital twin method for automated behavior analysis of large-scale distributed IoT systems
J Sleuters, Y Li, J Verriet, M Velikova, R Doornbos
2019 14th Annual Conference System of Systems Engineering (SoSE), 7-12, 2019
Derivation of monotone decision models from non-monotone data
H Daniels, M Velikova
Tilburg University, 2003
Decision trees for monotone price models
M Velikova, H Daniels
Computational Management Science 1, 231-244, 2004
A new probabilistic constraint logic programming language based on a generalised distribution semantics
S Michels, A Hommersom, PJF Lucas, M Velikova
Artificial Intelligence 228, 1-44, 2015
An integrated reconfigurable system for maritime situational awareness
MV Velikova, P Novák, B Huijbrechts, J Laarhuis, J Hoeksma, S Michels
Amsterdam: IOS, 2014
A decision support system for breast cancer detection in screening programs
MV Velikova, PJF Lucas, N Ferreira, M Samulski, N Karssemeijer
Amsterdam: IOS Press, 2008
Solving partially monotone problems with neural networks
M Velikova, H Daniels, A Feelders
Proceedings of the International Conference on Neural Networks, Vienna, Austria, 2006
Smartphone‐based analysis of biochemical tests for health monitoring support at home
M Velikova, RL Smeets, JT van Scheltinga, PJF Lucas, M Spaanderman
Healthcare technology letters 1 (3), 92-97, 2014
A decision support model for uncertainty reasoning in safety and security tasks
S Michels, M Velikova, A Hommersom, PJF Lucas
2013 IEEE International Conference on Systems, Man, and Cybernetics, 663-668, 2013
Integrating economic knowledge in data mining algorithms
H Daniels, A Feelders, M Velikova
Tilburg University, 2001
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