Edson Takashi Matsubara
Orcid: 0000-0002-4471-0886Affiliations:
- 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.
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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
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
Expert Syst. Appl., 2022
ACM Comput. Surv., 2022
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
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
IEEE Geosci. Remote. Sens. Lett., 2021
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
Sensors, 2020
Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery.
Sensors, 2020
Ecol. Informatics, 2020
Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks.
Comput. Electron. Agric., 2020
Comput. Electron. Agric., 2020
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
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
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
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
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
PhD thesis, 2008
Proceedings of the Advances in Artificial Intelligence, 2008
2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
2006
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