Name
Affiliation
Papers
LEONOR PATRICIA C. MORELLATO
Sao Paulo State Univ, UNESP, Dept Bot, Phenol Lab, BR-13506900 Rio Claro, SP, Brazil
20
Collaborators
Citations 
PageRank 
36
64
8.54
Referers 
Referees 
References 
80
344
204
Search Limit
100344
Title
Citations
PageRank
Year
A Change-Driven Image Foveation Approach for Tracking Plant Phenology.00.342020
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks.10.352019
Leafing Patterns and Drivers across Seasonally Dry Tropical Communities.00.342019
Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis.00.342018
Change Frequency Heatmaps for Temporal Multivariate Phenological Data Analysis10.352017
Fusion of time series representations for plant recognition in phenology studies.50.462016
Phenological visual rhythms: Compact representations for fine-grained plant species identification70.532016
PhenoVis - A tool for visual phenological analysis of digital camera images using chronological percentage maps.10.352016
Unsupervised Distance Learning for Plant Species Identification.00.342016
Time series-based classifier fusion for fine-grained plant species recognition20.362016
A Semiotic-informed Approach to Interface Guidelines for Mobile Applications - A Case Study on Phenology Data Acquisition.00.342015
Guidelines for Evaluating Mobile Applications: A Semiotic-Informed Approach.00.342015
Deriving vegetation indices for phenology analysis using genetic programming.50.412015
Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation.100.682014
Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees.110.862014
Evaluation of Time Series Distance Functions in the Task of Detecting Remote Phenology Patterns30.402014
Phenological Event Detection by Visual Rhythms Dissimilarity Analysis.20.382014
Plant Species Identification with Phenological Visual Rhythms.70.472013
Visual rhythm-based time series analysis for phenology studies90.552013
Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna00.342012