Pedestrian detection in far-infrared daytime images using a hierarchical codebook of SURF B Besbes, A Rogozan, AM Rus, A Bensrhair, A Broggi Sensors 15 (4), 8570-8594, 2015 | 44 | 2015 |
A novel approach to adaptive relational association rule mining G Czibula, IG Czibula, AM Sîrbu, IG Mircea Applied Soft Computing 36, 519-533, 2015 | 12 | 2015 |
A dynamic approach for hierarchical clustering of gene expression data A Sirbu, MI Bocicor 2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013 | 6 | 2013 |
Dynamic machine learning for supervised and unsupervised classification AM Sîrbu INSA de Rouen; Universitatea Babeș-Bolyai (Cluj-Napoca, Roumanie), 2016 | 4 | 2016 |
Dynamic clustering of gene expression data using a fuzzy approach AM Sîrbu, G Czibula, MI Bocicor 2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014 | 4 | 2014 |
Pedestrian recognition by using a kernel-based multi-modality approach AM Sirbu, A Rogozan, L Diosan, A Bensrhair 2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014 | 3 | 2014 |
Dynamic core based clustering of gene expression data MI Bocicor, A Sirbu, G Czibula International Journal of Innovative Computing, Information and Control 10 (3 …, 2014 | 3 | 2014 |
Pedestrian recognition by using a dynamic modality selection approach AM Rus, A Rogozan, L Diosan, A Bensrhair 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 2 | 2015 |
Pedestrian recognition using a dynamic modality fusion approach AM Rus, A Rogozan, L Dioşan, A Bensrhair 2015 IEEE International Conference on Intelligent Computer Communication and …, 2015 | 1 | 2015 |
A STUDY ON DYNAMIC CLUSTERING OF GENE EXPRESSION DATA. A SÎRBU Studia Universitatis Babes-Bolyai, Informatica 59 (1), 2014 | 1 | 2014 |
PEDESTRIAN RECOGNITION BY USING KERNEL DESCRIPTORS. A ANDREICA, L DIOŞAN, R GĂCEANU, A SÎRBU Studia Universitatis Babes-Bolyai, Informatica 58 (2), 2013 | 1 | 2013 |
Dynamic machine learning for supervised and unsupervised classification.(Apprentissage automatique dynamique pour la classification supervisée et non supervisée). AM Sirbu INSA de Rouen, France, 2016 | | 2016 |
Alignment of Custom Standards by Machine Learning Algorithms A Sirbu, L Diosan, A Rogozan, JP Pecuchet studia universitatis babes-bolyai: series informatica 55 (3), 25-36-0, 2010 | | 2010 |
MODEL ALIGNMENT BY USING THE CONCEPT DEFINITIONS. A Sîrbu, L Diosan, A Rogozan, JP Pecuchet Studia Universitatis Babes-Bolyai, Informatica, 2010 | | 2010 |