Rus Adela Maria
Rus Adela Maria
Universitary Assistant, Babes-Bolyai Univesity
Adresă de e-mail confirmată pe cs.ubbcluj.ro
Titlu
Citat de
Citat de
Anul
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
292015
A novel approach to adaptive relational association rule mining
G Czibula, IG Czibula, AM Sîrbu, IG Mircea
Applied Soft Computing 36, 519-533, 2015
92015
A dynamic approach for hierarchical clustering of gene expression data
A Sirbu, MI Bocicor
2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013
62013
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
52014
Dynamic machine learning for supervised and unsupervised classification
AM Sîrbu
42016
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
32014
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
32014
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
22015
Pedestrian recognition using a dynamic modality fusion approach
AM Rus, A Rogozan, L Dioșan, A Bensrhair
2015 IEEE International Conference on Intelligent Computer Communication and …, 2015
12015
A study on dynamic clustering of gene expression data
A Sirbu
Informatica 59 (1), 16-27, 2014
12014
PEDESTRIAN RECOGNITION BY USING KERNEL DESCRIPTORS.
A ANDREICA, L DIOȘAN, R GĂCEANU, A SÎRBU
Studia Universitatis Babes-Bolyai, Informatica 58 (2), 2013
12013
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 Sîrbu, L DIOSAN, A Rogozan, JP Pécuchet
Studia Universitatis Babes-Bolyai, Informatica 55 (1), 2010
2010
MODEL ALIGNMENT BY USING THE CONCEPT DEFINITIONS.
A Sîrbu, L Diosan, A Rogozan, JP Pecuchet
Studia Universitatis Babes-Bolyai, Informatica, 2010
2010
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–14