Edson Takashi Matsubara

Orcid: 0000-0002-4471-0886

Affiliations:
  • Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
  • University of São Paulo, São Carlos, SP, BR (PhD 2008)


According to our database1, Edson Takashi Matsubara authored at least 44 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction.
CoRR, 2024

2023
DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting.
Expert Syst. Appl., October, 2023

Deep4Fusion: A Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits.
Comput. Electron. Agric., August, 2023

A Framework for Controversial Political Topics Identification Using Twitter Data.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images.
Sensors, 2022

An approach for applying natural language processing to image classification problems.
Neurocomputing, 2022

Counting and locating high-density objects using convolutional neural network.
Expert Syst. Appl., 2022

Syntactic Pattern Recognition in Computer Vision: A Systematic Review.
ACM Comput. Surv., 2022

Line-based deep learning method for tree branch detection from digital images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Transductive Ensemble Learning with Graph Neural Network for Speech Emotion Recognition.
Proceedings of the Workshop on Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese co-located with 15th edition of the International Conference on the Computational Processing of Portuguese (PROPOR 2022), 2022

Entity Extraction from Portuguese Legal Documents Using Distant Supervision.
Proceedings of the Computational Processing of the Portuguese Language, 2022

2021
Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing.
Sensors, 2021

Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images.
Remote. Sens., 2021

Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2021

A review on deep learning in UAV remote sensing.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Retinanet Deep Learning-Based Approach to Detect Termite Mounds in Eucalyptus Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Mapping Utility Poles in Aerial Orthoimages Using ATSS Deep Learning Method.
Sensors, 2020

Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery.
Sensors, 2020

POLLEN73S: An image dataset for pollen grains classification.
Ecol. Informatics, 2020

Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks.
Comput. Electron. Agric., 2020

Cattle weight estimation using active contour models and regression trees Bagging.
Comput. Electron. Agric., 2020

Can Twitter Data Estimate Reality Show Outcomes?
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs.
Sensors, 2019

Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery.
Remote. Sens., 2019

Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry.
Remote. Sens., 2019

Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Twitter breaking news detector in the 2018 Brazilian presidential election using word embeddings and convolutional neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

The Impact of Ground Control Point Quantity on Area and Volume Measurements with UAV SFM Photogrammetry Applied in Open Pit Mines.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Asphalt Pothole Detection in UAV Images Using Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

BERT for Stock Market Sentiment Analysis.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Counting Cars from Aerial Videos Using Deep Learning.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points.
Comput. Geosci., 2018

Improving Instance Selection via Metric Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Learning a Fast Bipartite Ranker for Text Documents Using Lexicographical Rankers and ROC Curves.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2014
An Experimental Evaluation of Sentiment Analysis on Financial News Using Prior Polarity Words.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

2013
Smart Saint: An Active Semi-supervised Learning Internet Filter.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2009
Uso da ferramenta PreText para mineração de textos extraídos do NCBI para estudo epistemológico da Informática em Saúde.
RITA, 2009

2008
Relations among rankings, ROC analysis and calibration applied to machine learning.
PhD thesis, 2008

Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach.
Proceedings of the Advances in Artificial Intelligence, 2008

2007
A Simple Lexicographic Ranker and Probability Estimator.
Proceedings of the Machine Learning: ECML 2007, 2007

On classification, ranking, and probability estimation.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2006
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006

2005
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005


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