A supervised learning process to elicit fraud cases in online auction sites V Almendra, D Enachescu 2011 13th International Symposium on Symbolic and Numeric Algorithms for …, 2011 | 15 | 2011 |
Using self-organizing maps for fraud prediction at online auction sites V da Silva Almendra, D Enachescu 2013 15th International Symposium on Symbolic and Numeric Algorithms for …, 2013 | 11 | 2013 |
A new approach for outlying records in bioequivalence trials D Enachescu, C Enachescu ASMDA. Proceedings of the International Conference Applied Stochastic Models …, 2009 | 11 | 2009 |
Ranking computer science conferences using self-organizing maps with dynamic node splitting V da Silva Almendra, D Enăchescu Scientometrics 102 (1), 267-283, 2015 | 10 | 2015 |
A fraudster in a haystack: Crafting a classifier for non-delivery fraud prediction at online auction sites V Almendra, D Enachescu 2012 14th International Symposium on Symbolic and Numeric Algorithms for …, 2012 | 7 | 2012 |
Data Mining: metode şi aplicaţii D Enăchescu Editura Academiei, 2009 | 6 | 2009 |
Learning vector quantization for breast cancer prediction D Enachescu, C Enachescu 2005 portuguese conference on artificial intelligence, 177-180, 2005 | 6 | 2005 |
Using self-organizing maps for binary classification with highly imbalanced datasets V Almendra, D Enachescu Int. J. Numerical Anal. Modeling 5 (3), 238-254, 2014 | 5 | 2014 |
Functional and structural modeling of the pharmacist's professional development process in Bucharest Faculty of Pharmacy C Rais, D Enăchescu, A Carată Farmacia 59 (4), 590-602, 2011 | 4 | 2011 |
Multilayer perceptron model for prostate cancer prediction D Enaˇchescu International Journal of Computer Mathematics 81 (4), 407-415, 2004 | 4 | 2004 |
Estimation of Pr (YX) in case of the Luceno distribution C Enachescu, D Enachescu Revue Roumaine de Mathematiques Pures et Appliquees 47 (2), 171-178, 2002 | 4 | 2002 |
Exploratory data analysis methods for comparison of drug dissolution profiles D Enăchescu Biocybernetics and Biomedical Engineering 30 (4), 17-27, 2010 | 3 | 2010 |
Sliding Mode Control of the Hodgkin-Huxley Mathematical Model C Cavaterra, E Denis, G Marinoschi EVOLUTION EQUATIONS AND CONTROL THEORY 8 (4), 883-902, 2019 | 2 | 2019 |
Clustering and spatial variation in risk D Enăchescu, C Enăchescu Biocybern Biomed Eng 29, 19-30, 2009 | 2 | 2009 |
On clustering Romance languages LP Dinu, D Enăchescu Recent Advances In Stochastic Modeling And Data Analysis, 521-528, 2007 | 2 | 2007 |
A GENERALIZATION OF THE MONTE CARLO METHOD FOR SOLVING A LINEAR ALGEBRAIC EQUATION SYSTEM. DM ENACHESCU | 2 | 1976 |
Languages Similarity: Measuring and Testing LP Dinu, D Enăchescu Recent Advances In Stochastic Modeling And Data Analysis, 512-520, 2007 | 1 | 2007 |
Approximating the distribution of a randomly weighted sum of random variables using kernel and neural network methods D Enachescu, R Vernic MATHEMATICAL REPORTS-BUCHAREST- 8 (1), 37, 2006 | 1 | 2006 |
Some methods for approximating the distribution of a randomly weighted sum of random variables D Enachescu, R Vernic paper, 2005 | 1 | 2005 |
Principal Components Analysis. Application to the Study of Risk-Factors for Social Dissociation on Territorial Level in Romania D Enachescu, C Enachescu Austrian Journal of Statistics 31 (2&3), 123-130, 2002 | 1 | 2002 |