| Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters L Dioşan, A Rogozan, JP Pecuchet Applied Intelligence 36, 280-294, 2012 | 114 | 2012 |
| A multi-objective evolutionary approach to the portfolio optimization problem L Diosan International Conference on Computational Intelligence for Modelling …, 2005 | 64 | 2005 |
| 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 | 51 | 2009 |
| Evolutionary design of evolutionary algorithms L Dioşan, M Oltean Genetic Programming and Evolvable Machines 10, 263-306, 2009 | 45 | 2009 |
| Evolving the structure of the particle swarm optimization algorithms L Dioşan, M Oltean European Conference on Evolutionary Computation in Combinatorial …, 2006 | 38 | 2006 |
| An autonomous GP-based system for regression and classification problems M Oltean, L Dioşan Applied Soft Computing 9 (1), 49-60, 2009 | 37 | 2009 |
| Evolving kernel functions for SVMs by genetic programming L Diosan, A Rogozan, JP Pecuchet Sixth international conference on machine learning and applications (ICMLA …, 2007 | 37 | 2007 |
| SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine? SD Iancu, RG Cozan, A Stefancu, M David, T Moisoiu, C Moroz-Dubenco, ... Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 273, 120992, 2022 | 23 | 2022 |
| Network analysis based on important node selection and community detection A Mester, A Pop, BEM Mursa, H Greblă, L Dioşan, C Chira Mathematics 9 (18), 2294, 2021 | 22 | 2021 |
| Region-of-interest-based cardiac image segmentation with deep learning RR Galea, L Diosan, A Andreica, L Popa, S Manole, Z Balint Applied Sciences 11 (4), 1965, 2021 | 22 | 2021 |
| What else is the evolution of PSO telling us L Diosan, M Oltean Journal of Artificial Evolution and Applications 8 (2), 1-12, 2008 | 21 | 2008 |
| Evolving crossover operators for function optimization L Dioşan, M Oltean European Conference on Genetic Programming, 97-108, 2006 | 20 | 2006 |
| Evolving evolutionary algorithms using evolutionary algorithms LS Diosan, M Oltean Proceedings of the 9th annual conference companion on Genetic and …, 2007 | 18 | 2007 |
| Multi-objective breast cancer classification by using multi-expression programming L Dioşan, A Andreica Applied Intelligence 43, 499-511, 2015 | 15 | 2015 |
| More than meets the eye: using textural analysis and artificial intelligence as decision support tools in prostate cancer diagnosis—a systematic review T Telecan, I Andras, N Crisan, L Giurgiu, ED Căta, C Caraiani, A Lebovici, ... Journal of Personalized Medicine 12 (6), 983, 2022 | 14 | 2022 |
| 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 | 14 | 2017 |
| Developing smart edutainment for preschoolers: A multidisciplinary approach AM Guran, GS Cojocar, LS Dioşan Proceedings of the 2nd ACM SIGSOFT international workshop on education …, 2020 | 13 | 2020 |
| Optimising multiple kernels for SVM by genetic programming L Dioşan, A Rogozan, JP Pecuchet European Conference on Evolutionary Computation in Combinatorial …, 2008 | 13 | 2008 |
| Model View Controller in iOS mobile applications development. D Dobrean, L Diosan SEKE, 547-716, 2019 | 12 | 2019 |
| 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 |
Anca AndreicaBabeș-Bolyai University在 ubbcluj.ro 的电子邮件经过验证
