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Edson Takashi Matsubara
Person information
- affiliation: Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
- affiliation (PhD 2008): University of São Paulo, São Carlos, SP, BR
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2020 – today
- 2024
- [i4]Gabriel Toshio Hirokawa Higa, Rodrigo Stuqui Monzani, Jorge Fernando da Silva Cecatto, Maria Fernanda Balestieri Mariano de Souza, Vanessa Aparecida de Moraes Weber, Hemerson Pistori, Edson Takashi Matsubara:
Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction. CoRR abs/2403.07621 (2024) - 2023
- [j22]Lucas de Souza Rodrigues
, Edmar Caixeta Filho, Kenzo Miranda Sakiyama, Mateus Figueiredo Santos, Liana Jank, Camilo Carromeu, Eloise Silveira, Edson Takashi Matsubara, José Marcato Junior, Wesley Nunes Gonçalves:
Deep4Fusion: A Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits. Comput. Electron. Agric. 211: 107957 (2023) - [j21]Andre Quintiliano Bezerra Silva
DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting. Expert Syst. Appl. 228: 120246 (2023) - [c19]Kenzo Miranda Sakiyama, Lucas de Souza Rodrigues
A Framework for Controversial Political Topics Identification Using Twitter Data. BRACIS (3) 2023: 283-298 - 2022
- [j20]Rodrigo Silva, José Marcato Junior, Laisa Almeida, Diogo Nunes Gonçalves, Pedro Zamboni, Vanessa Fernandes, Jonathan de Andrade Silva, Edson Takashi Matsubara, Edson Antonio Batista, Lingfei Ma, Jonathan Li, Wesley Nunes Gonçalves:
Line-based deep learning method for tree branch detection from digital images. Int. J. Appl. Earth Obs. Geoinformation 110: 102759 (2022) - [j19]Gilberto Astolfi
Syntactic Pattern Recognition in Computer Vision: A Systematic Review. ACM Comput. Surv. 54(3): 65:1-65:35 (2022) - [j18]Mauro dos Santos de Arruda
Counting and locating high-density objects using convolutional neural network. Expert Syst. Appl. 195: 116555 (2022) - [j17]Gilberto Astolfi, Diego André Sant'Ana
An approach for applying natural language processing to image classification problems. Neurocomputing 513: 372-382 (2022) - [j16]Luiz Santos
Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images. Sensors 22(11): 4116 (2022) - [c18]Eliton Scardin Perin, Edson Takashi Matsubara:
Transductive Ensemble Learning with Graph Neural Network for Speech Emotion Recognition. SE&R@PROPOR 2022: 42-48 - [c17]Lucas M. Navarezi
Entity Extraction from Portuguese Legal Documents Using Distant Supervision. PROPOR 2022: 166-176 - 2021
- [j15]Lucas Prado Osco
A review on deep learning in UAV remote sensing. Int. J. Appl. Earth Obs. Geoinformation 102: 102456 (2021) - [j14]Gilberto Astolfi
Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images. IEEE Geosci. Remote. Sens. Lett. 18(12): 2182-2186 (2021) - [j13]Pedro Zamboni
Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. Remote. Sens. 13(13): 2482 (2021) - [j12]Gabriel Silva de Oliveira
Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing. Sensors 21(12): 3971 (2021) - [c16]Juan Sales, José Marcato Junior, Henrique Lopes Siqueira, Maurício de Souza, Edson Takashi Matsubara, Wesley Nunes Gonçalves:
Retinanet Deep Learning-Based Approach to Detect Termite Mounds in Eucalyptus Forests. IGARSS 2021: 586-589 - [i3]Lucas Prado Osco, José Marcato Junior, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Sarah Narges Fatholahi, Jonathan de Andrade Silva, Edson Takashi Matsubara, Hemerson Pistori, Wesley Nunes Gonçalves, Jonathan Li:
A Review on Deep Learning in UAV Remote Sensing. CoRR abs/2101.10861 (2021) - [i2]Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta, Diogo Nunes Gonçalves, José Marcato Junior, Ana Paula Marques Ramos, Edson Takashi Matsubara, Zhipeng Luo, Jonathan Li, Jonathan de Andrade Silva, Wesley Nunes Gonçalves:
Counting and Locating High-Density Objects Using Convolutional Neural Network. CoRR abs/2102.04366 (2021) - 2020
- [j11]Fabricio de Lima Weber
Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks. Comput. Electron. Agric. 175: 105548 (2020) - [j10]Vanessa Aparecida de Moraes Weber
Cattle weight estimation using active contour models and regression trees Bagging. Comput. Electron. Agric. 179: 105804 (2020) - [j9]Gilberto Astolfi
POLLEN73S: An image dataset for pollen grains classification. Ecol. Informatics 60: 101165 (2020) - [j8]Wellington V. M. de Castro, José Marcato Junior
Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery. Sensors 20(17): 4802 (2020) - [j7]Matheus Gomes
Mapping Utility Poles in Aerial Orthoimages Using ATSS Deep Learning Method. Sensors 20(21): 6070 (2020) - [c15]Kenzo Miranda Sakiyama, Lucas de Souza Rodrigues
Can Twitter Data Estimate Reality Show Outcomes? BRACIS 2020: 466-482
2010 – 2019
- 2019
- [j6]Lucas Prado Osco
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 83 (2019) - [j5]Juliana Batistoti
Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry. Remote. Sens. 11(20): 2447 (2019) - [j4]Lucas Prado Osco
Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery. Remote. Sens. 11(24): 2925 (2019) - [j3]Anderson Aparecido dos Santos
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs. Sensors 19(16): 3595 (2019) - [c14]Caio H. S. Polidoro, Wellington V. M. de Castro, José Marcato Junior, Geison Salgado Filho, Edson Takashi Matsubara:
Counting Cars from Aerial Videos Using Deep Learning. EPIA (1) 2019: 637-649 - [c13]Matheus Gomes Sousa, Kenzo Miranda Sakiyama, Lucas de Souza Rodrigues, Pedro Henrique Moraes, Eraldo Rezende Fernandes, Edson Takashi Matsubara:
BERT for Stock Market Sentiment Analysis. ICTAI 2019: 1597-1601 - [c12]Yuri V. Furusho Becker, Henrique Lopes Siqueira, Edson Takashi Matsubara, Wesley Nunes Gonçalves, José Marcato Junior:
Asphalt Pothole Detection in UAV Images Using Convolutional Neural Networks. IGARSS 2019: 56-58 - [c11]Henrique Lopes Siqueira, José Marcato Junior, Edson Takashi Matsubara, Anette Eltner
The Impact of Ground Control Point Quantity on Area and Volume Measurements with UAV SFM Photogrammetry Applied in Open Pit Mines. IGARSS 2019: 9093-9096 - [c10]David Robledo Di Martini, Veraldo Liesenberg, Everton Castelão Tetila, José Marcato Junior, Edson Takashi Matsubara, Henrique Lopes Siqueira, Amaury Antônio de Castro Junior
Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah. IGARSS 2019: 9364-9367 - [c9]Kenzo Miranda Sakiyama, Andre Quintiliano Bezerra Silva, Edson Takashi Matsubara:
Twitter breaking news detector in the 2018 Brazilian presidential election using word embeddings and convolutional neural networks. IJCNN 2019: 1-8 - 2018
- [j2]Yuri Navarro Claure, Edson Takashi Matsubara, Carlos Padovani, Ronaldo Cristiano Prati:
PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important Points. Comput. Geosci. 112: 54-63 (2018) - [c8]Eduardo Zarate Max, Ricardo Marcondes Marcacini
Improving Instance Selection via Metric Learning. IJCNN 2018: 1-6 - 2017
- [c7]Lucas de Souza Rodrigues, Edson Takashi Matsubara, Bruno Magalhães Nogueira:
Learning a Fast Bipartite Ranker for Text Documents Using Lexicographical Rankers and ROC Curves. ICDAR 2017: 1307-1312 - 2014
- [c6]Eduardo Campos, Edson Takashi Matsubara
An Experimental Evaluation of Sentiment Analysis on Financial News Using Prior Polarity Words. IBERAMIA 2014: 218-228 - 2013
- [c5]Felipe Vargas Rigo, Murillo Nicacio Maraes, Edson Takashi Matsubara:
Smart Saint: An Active Semi-supervised Learning Internet Filter. BRACIS 2013: 136-142
2000 – 2009
- 2009
- [j1]Eliane Colepícolo, Edson Takashi Matsubara, Alex Esteves Jaccoud Falcão, Ivan Torres Pisa:
Uso da ferramenta PreText para mineração de textos extraídos do NCBI para estudo epistemológico da Informática em Saúde. RITA 16(1): 9-24 (2009) - 2008
- [b1]Edson Takashi Matsubara:
Relations among rankings, ROC analysis and calibration applied to machine learning. University of São Paulo, Brazil, 2008 - [c4]Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard:
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. SBIA 2008: 217-226 - 2007
- [c3]Peter A. Flach, Edson Takashi Matsubara:
A Simple Lexicographic Ranker and Probability Estimator. ECML 2007: 575-582 - [i1]Peter A. Flach, Edson Takashi Matsubara:
On classification, ranking, and probability estimation. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2006
- [c2]Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI 2006: 199-208 - 2005
- [c1]Edson Takashi Matsubara, Maria Carolina Monard, Gustavo E. A. P. A. Batista:
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets. LAPTEC 2005: 97-104
Coauthor Index
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last updated on 2024-10-12 23:00 CEST by the dblp team
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