Erick Mata-Montero
Titel
Zitiert von
Zitiert von
Jahr
Going deeper in the automated identification of Herbarium specimens
J Carranza-Rojas, H Goeau, B Pierre, E Mata-Montero, A Joly
BMC Evolutionary Biology 17 (1), 181, 2017
1262017
Global biodiversity informatics outlook: delivering biodiversity knowledge in the information age
PJWS Hobern D, Apostolico A, Arnaud E, Bello JC, Canhos D, Dubois G, Field D ...
Global biodiversity information facility (Secretariat), 2017
54*2017
Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
T Lorieul, KD Pearson, ER Ellwood, H Goëau, J Molino, PW Sweeney, ...
Applications in Plant Sciences 7 (3), e01233, 2019
252019
Automated Plant Species Identification: Challenges and Opportunities
E Mata-Montero, A Carranza-Rojas
ICT for Promoting Human Development and Protecting the Environment 481, 26-36, 2016
252016
Combining leaf shape and texture for Costa Rican plant species identification
J Carranza-Rojas, E Mata-Montero
CLEI Electronic journal 19 (1), 7-7, 2016
152016
A texture and curvature bimodal leaf recognition model for identification of costa rican plant species
E Mata-Montero, J Carranza-Rojas
2015 Latin American Computing Conference (CLEI), 1-12, 2015
142015
Resilience of partial k‐tree networks with edge and node failures
E Mata‐Montero
Networks 21 (3), 321-344, 1991
121991
Informatización del conocimiento para la conservación de la biodiversidad
E Mata
Revista Ecosistemas 15 (2), 2006
82006
Hidden Biases in Automated Image-Based Plant Identification
J Carranza-Rojas, E Mata-Montero, H Goeau
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 1-9, 2018
72018
Automated identification of herbarium specimens at different taxonomic levels
J Carranza-Rojas, A Joly, H Goëau, E Mata-Montero, P Bonnet
Multimedia Tools and Applications for Environmental & Biodiversity …, 2018
72018
Using Deep Convolutional Networks for Species Identification of Xylotheque Samples
G Figueroa-Mata, E Mata-Montero, JC Valverde-Otárola, D Arias-Aguilar
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018
62018
Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques
G Figueroa-Mata, E Mata-Montero, JC Valverde-Otárola, D Arias-Aguilar
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018
62018
Biovisualizador: Visualizando los anfibios de Costa Rica
FH Castro, EM Montero, JM Fallas
Tecnología en Marcha 22 (1), 15-23, 2009
62009
A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction
H Goëau, A Mora‐Fallas, J Champ, NLR Love, SJ Mazer, ...
Applications in plant sciences 8 (6), e11368, 2020
52020
Using a Convolutional Siamese Network for Image-Based Plant Species Identification with Small Datasets
G Figueroa-Mata, E Mata-Montero
Biomimetics 5 (1), 2020
42020
Automated herbarium specimen identification using deep learning
J Carranza-Rojas, A Joly, P Bonnet, H Goëau, E Mata-Montero
Biodiversity Information Science and Standards 1, e20302, 2017
42017
Visual Comparison of Biological Taxonomies: A Task Characterization
L Sancho-Chavarria, F Beck, E Mata-Montero, D Weiskopf
42016
Reliability of partialk-tree networks.
E Mata-Montero
41991
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
J Champ, A Mora‐Fallas, H Goëau, E Mata‐Montero, P Bonnet, A Joly
Applications in plant sciences 8 (7), e11373, 2020
32020
Task-based assessment of visualization tools for the comparison of biological taxonomies
L Sancho-Chavarria, F Beck, D Weiskopf, E Mata-Montero
Research Ideas and Outcomes 4, e25742, 2018
32018
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