TY  - JOUR 
AU  - Facultad de Ciencias Biologicas y Ambientales
AU  - Bueno García, María Gloria
AU  - Déniz Suárez, Óscar
AU  - Pedraza, Aníbal
AU  - Ruiz-Santaquiteria Alegre, Jesús
AU  - Salido Tercero, Jesús
AU  - Cristóbal Pérez, Gabriel
AU  - Borrego Ramos, María
AU  - Blanco Lanza, Saúl
AU  - Ecologia
DA  - 2017
UR  - https://hdl.handle.net/10612/19275
AB  - [EN] This paper deals with automatic taxa identification based on machine learning methods. The aim is therefore to automatically classify diatoms, in terms of pattern recognition terminology. Diatoms are a kind of algae microorganism with high...
LA  - eng
PB  - MDPI
KW  - Biología
KW  - Ecología. Medio ambiente
KW  - Feature analysis
KW  - Textural features
KW  - Automatic classification
KW  - Handcrafted approaches
KW  - Diatoms
TI  - Automated Diatom Classification (Part A): Handcrafted Feature Approaches
DO  - 10.3390/app7080753
T2  - Applied Sciences
VL  - 7
M2  - 753
ER  -