Laura Diosan
Laura Diosan
Babeș-Bolyai University, Computer Science Department
Zweryfikowany adres z cs.ubbcluj.ro
Tytuł
Cytowane przez
Cytowane przez
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Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters
L Dioşan, A Rogozan, JP Pecuchet
Applied Intelligence 36 (2), 280-294, 2012
932012
Genetic programming with linear representation: a survey
M Oltean, C GROŞAN, L DIOŞAN, C MIHĂILĂ
International Journal on Artificial Intelligence Tools 18 (02), 197-238, 2009
532009
A multi-objective evolutionary approach to the portfolio optimization problem
L Diosan
International Conference on Computational Intelligence for Modelling …, 2005
512005
Evolutionary design of evolutionary algorithms
L Dioşan, M Oltean
Genetic Programming and Evolvable Machines 10 (3), 263-306, 2009
372009
Evolving the structure of the particle swarm optimization algorithms
L Dioşan, M Oltean
European Conference on Evolutionary Computation in Combinatorial …, 2006
352006
Evolving kernel functions for SVMs by genetic programming
L Diosan, A Rogozan, JP Pecuchet
Sixth international conference on machine learning and applications (ICMLA …, 2007
322007
An autonomous GP-based system for regression and classification problems
M Oltean, L Dioşan
Applied Soft Computing 9 (1), 49-60, 2009
272009
What else is the evolution of PSO telling us?
L Dioşan, M Oltean
Journal of Artificial Evolution and Applications 2008, 2008
212008
Evolving evolutionary algorithms using evolutionary algorithms
LS Diosan, M Oltean
Proceedings of the 9th annual conference companion on Genetic and …, 2007
182007
Evolving crossover operators for function optimization
L Dioşan, M Oltean
European Conference on Genetic Programming, 97-108, 2006
172006
Optimising multiple kernels for SVM by genetic programming
L Dioşan, A Rogozan, JP Pecuchet
European Conference on Evolutionary Computation in Combinatorial …, 2008
132008
Multi-objective breast cancer classification by using multi-expression programming
L Dioşan, A Andreica
Applied Intelligence 43 (3), 499-511, 2015
122015
Genetically designed multiple-kernels for improving the SVM performance
L Diosan, M Oltean, A Rogozan, JP Pecuchet
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
11*2007
Best SubTree genetic programming
O Muntean, L Diosan, M Oltean
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
92007
Requirement dependencies-based formal approach for test case prioritization in regression testing
A Vescan, C Şerban, C Chisăliţă-Cretu, L Dioşan
2017 13th IEEE International Conference on Intelligent Computer …, 2017
82017
Learning SVM with complex multiple kernels evolved by genetic programming
L DIOŞAN, A Rogozan, JP Pecuchet
International Journal on Artificial Intelligence Tools 19 (05), 647-677, 2010
72010
Who's better? PESA or NSGA II?
L Diosan, M Oltean
Seventh International Conference on Intelligent Systems Design and …, 2007
72007
Automata-based component composition analysis
A Fanea, S Motogna, L Diosan
Studia Universitas Babes-Bolyai Seria Informatica 50 (1), 13-20, 2006
72006
The use of simple cellular automata in image processing
L Diosan, A Andreica, A Enescu
Studia Universitatis Babes,-Bolyai Informatica 62 (2), 5-16, 2017
62017
Model View Controller in iOS mobile applications development.
D Dobrean, L Diosan
SEKE, 547-716, 2019
52019
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