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Francisco Pando
Real Jardin Botanico -CSIC, Madrid, Spain
https://www.researchgate.net/profile/Francisco_Pando
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8 articles by this author

Conference Abstract
Towards a Curriculum for Biodiversity Informatics
    Fatima Parker-Allie,     Francisco Pando, Jean Ganglo, Anders Telenius, Danny Vélez, Mark Gibbons, Gautam Talukdar, Manuel Vargas, Raoufou Radji, Hanna Koivula, André Heughebaert, Christian Svindseth,     Daniel Amariles , Takeshi Osawa, Melianie Raymond,     Laura Russell
10.3897/biss.3.46911
 08-10-2019
 Unique: 862 | Total: 1272
 Reprint: € 2,30
LINK
Conference Abstract
Using Unsupervised Artificial Neural Networks to Detect Sibling Species: A case in Myxomycetes
    Francisco Pando, Ignacio Heredia, Lara Lloret
10.3897/biss.3.37255
 19-06-2019
 Unique: 655 | Total: 1077
 Reprint: € 2,30
LINK
Conference Abstract
Making LTER Data FAIR: A workbench using DEIMS datasets and GBIF Tools
    Francisco Pando, Francisco Bonet
10.3897/biss.3.37257
 19-06-2019
 Unique: 621 | Total: 1031
 Reprint: € 2,30
LINK
Conference Abstract
Deep learning for weed identification based on seed images
    Francisco Pando, Ignacio Heredia, Carlos Aedo Pérez, Mauricio Velayos Rodríguez, Lara Lloret Iglesias,     Joel Calvo
10.3897/biss.2.25749
 22-05-2018
 Unique: 916 | Total: 1676
 Reprint: € 2,30
LINK
Conference Abstract
Comparison of species information TDWG standards from the point of view of the Plinian Core specification
    Francisco Pando
10.3897/biss.2.25869
 17-05-2018
 Unique: 782 | Total: 1914
 Reprint: € 2,30
LINK
Conference Abstract
A workbench for species identification based on images and deep learning techniques
Ignacio Heredia, Lara Lloret, Jesús Marco,     Francisco Pando
10.3897/tdwgproceedings.1.20569
 24-08-2017
 Unique: 1214 | Total: 2314
 Reprint: € 2,30
LINK
Conference Abstract
How species interactions are managed in Plinian Core: Status and questions
    Francisco Pando
10.3897/tdwgproceedings.1.20556
 24-08-2017
 Unique: 953 | Total: 1800
 Reprint: € 2,30
LINK
Conference Abstract
Quantifying quality: the "Apparent Quality Index", a measure of data quality for occurrence datasets
    Francisco Pando
10.3897/tdwgproceedings.1.20533
 23-08-2017
 Unique: 977 | Total: 1832
 Reprint: € 2,30
LINK

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