Lista de obras -

A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNN

artículo científico publicado en 2020

A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

artículo científico publicado en 2020

AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery

artículo científico publicado en 2020

AI-based Identification of Plant Photographs from Herbarium Specimens

artículo científico publicado en 2021

Accelerating the Automated Detection, Counting and Measurements of Reproductive Organs in Herbarium Collections in the Era of Deep Learning

artículo científico publicado en 2019

Are Species Identification Tools Biodiversity-friendly?

Attention-Based Recurrent Neural Network for Plant Disease Classification

scientific article published on 14 December 2020

Automated Herbarium Specimen Identification using Deep Learning

artículo científico publicado en 2017

Automated Identification of Citizen Science Observations for Ecological Studies

artículo científico publicado en 2018

Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection

scientific article published on 20 May 2020

Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest

artículo científico publicado en 2022

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

artículo científico

Customized e-floras: How to develop your own project on the Pl@ntNet platform

artículo científico publicado en 2021

Deep learning for plant identification: how the web can compete with human experts

scientific article published in 2018

Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion

artículo científico publicado en 2022

Envisaging a global infrastructure to exploit the potential of digitised collections

artículo científico publicado en 2022

Going deeper in the automated identification of Herbarium specimens

artículo científico

How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators

scientific article published in 2022

How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools

artículo científico publicado en 2020

Identifying gaps in the photographic record of the vascular plant flora of the Americas

artículo científico publicado en 2021

ImageCLEF 2013: The Vision, the Data and the Open Challenges

Insight into the Am-O Phase Equilibria: A Thermodynamic Study Coupling High-Temperature XRD and CALPHAD Modeling.

artículo científico publicado en 2017

Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots

artículo científico publicado en 2020

Interactive plant identification based on social image data

article

Jointly estimating spatial sampling effort and habitat suitability for multiple species from opportunistic presence‐only data

artículo científico publicado en 2021

LifeCLEF 2014: Multimedia Life Species Identification Challenges

article

Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus

artículo científico publicado en 2021

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

scientific article published on 13 May 2020

Modern Approaches to the Monitoring of Biоdiversity (MAMBO)

artículo científico publicado en 2023

Multi-organ plant identification

article

Pl@ntNet Services, a Contribution to the Monitoring and Sharing of Information on the World Flora

artículo científico publicado en 2020

Species distribution modeling based on the automated identification of citizen observations.

artículo científico publicado en 2018

Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service

artículo científico publicado en 2023

Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras

artículo científico publicado en 2019

Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?

artículo científico publicado en 2022

Visual-based plant species identification from crowdsourced data

article

Lista de obras de

A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNN

A new fine-grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery

AI-based Identification of Plant Photographs from Herbarium Specimens

Accelerating the Automated Detection, Counting and Measurements of Reproductive Organs in Herbarium Collections in the Era of Deep Learning

Are Species Identification Tools Biodiversity-friendly?

Attention-Based Recurrent Neural Network for Plant Disease Classification

Automated Herbarium Specimen Identification using Deep Learning

Automated Identification of Citizen Science Observations for Ecological Studies

Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection

Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

Customized e-floras: How to develop your own project on the Pl@ntNet platform

Deep learning for plant identification: how the web can compete with human experts

Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion

Envisaging a global infrastructure to exploit the potential of digitised collections

Going deeper in the automated identification of Herbarium specimens

How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators

How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools

Identifying gaps in the photographic record of the vascular plant flora of the Americas

ImageCLEF 2013: The Vision, the Data and the Open Challenges

Insight into the Am-O Phase Equilibria: A Thermodynamic Study Coupling High-Temperature XRD and CALPHAD Modeling.

Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots

Interactive plant identification based on social image data

Jointly estimating spatial sampling effort and habitat suitability for multiple species from opportunistic presence‐only data

LifeCLEF 2014: Multimedia Life Species Identification Challenges

Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

Modern Approaches to the Monitoring of Biоdiversity (MAMBO)

Multi-organ plant identification

Pl@ntNet Services, a Contribution to the Monitoring and Sharing of Information on the World Flora

Species distribution modeling based on the automated identification of citizen observations.

Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service

Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras

Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?

Visual-based plant species identification from crowdsourced data