H. Pistori

发表

Adaptive Finite State Automata and Genetic Algorithms: Merging Individual Adaptation and Population Evolution

H. Pistori, P. S. Martins, A. A. Castro, 2005 .

Brazilian Midwest Native Vegetation Mapping Based on Google Earth Engine

W. Gonçalves, V. Liesenberg, J. M. Junior, 2020, 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).

Data for: Weed Detection in Soybean Crops Using ConvNets

Alessandro dos Santos Ferreira, Daniel Matte Freitas, H. Pistori, 2017 .

Segmentation Techniques based on Background Subtraction and Supervised Learning: A Comparative Study for Images of Mice and Human Skins

Bruno Brandoli Machado, W. Gonçalves, J. Silva, 2011 .

Prediction of Girolando cattle weight by means of body measurements extracted from images

Fabricio de Lima Weber, Nícolas Alessandro de Souza Belete, H. Pistori, 2020 .

A computer vision system for soybean diseases recognition using UAVs : preliminary results

Bruno Brandoli Machado, H. Pistori, Gercina Gonçalves da Silva, 2017 .

Impacts of soybean-induced defenses on Spodoptera frugiperda (Lepidoptera: Noctuidae) development

Ricardo Dias Peruca, H. Pistori, A. R. Roel, 2018, Arthropod-Plant Interactions.

Using a convolutional neural network for fingerling counting: A multi-task learning approach

Plabiany Rodrigo Acosta, Danielle Elis Garcia Furuya, W. Gonçalves, 2022, Aquaculture.

An approach for applying natural language processing to image classification problems

Everton Castelão Tetila, E. Matsubara, H. Pistori, 2022, Neurocomputing.

Brazilian Cerrado native vegetation mapping with Google Earth Engine

W. Gonçalves, H. Pistori, N. Estrabis, 2022, Conjecturas.

Prediction of fingerling biomass with deep learning

Marcio Carneiro Brito Pache, H. Pistori, Vanessa Weber, 2022, Ecol. Informatics.

Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks

Hemerson Pistori, Everton Castelão Tetila, Bruno Brandoli Machado, 2020, IEEE Geoscience and Remote Sensing Letters.

System for Quantitative Diagnosis of COVID-19-Associated Pneumonia Based on Superpixels With Deep Learning and Chest CT

Marcio Carneiro Brito Pache, Everton Castelão Tetila, H. Pistori, 2020 .

Detection and classification of soybean pests using deep learning with UAV images

Hemerson Pistori, Everton Castelão Tetila, Bruno Brandoli Machado, 2020, Comput. Electron. Agric..

A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests

Hemerson Pistori, Gilberto Astolfi, Everton Castelão Tetila, 2020, IEEE Geoscience and Remote Sensing Letters.

Insecticide activity of sodium ricinoleate on Aedes ( Stegomyia ) aegypti

H. Pistori, A. R. Roel, Lucas R Souza, 2020 .

Weed detection in soybean crops using ConvNets

Hemerson Pistori, Alessandro dos Santos Ferreira, Daniel Matte Freitas, 2017, Comput. Electron. Agric..

A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices

Hemerson Pistori, Wesley Nunes Gonçalves, José Marcato Junior, 2020, Comput. Electron. Agric..

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

Raul Queiroz Feitosa, Hemerson Pistori, Everton Castelão Tetila, 2019, Sensors.

Non-intrusively estimating the live body biomass of Pintado Real® fingerlings: A feature selection approach

Marcio Carneiro Brito Pache, João Vitor de Andrade Porto, Fábio Prestes Cesar Rezende, 2021, Ecol. Informatics.

A computer vision system for oocyte counting using images captured by smartphone

Ariadne Barbosa Gonçalves, Marcio Carneiro Brito Pache, Celso Soares Costa, 2019, Aquacultural Engineering.

Carcass image segmentation using CNN-based methods

Hemerson Pistori, Wesley Nunes Gonçalves, Diogo Nunes Gonçalves, 2020 .

Genetic Divergence in Eucalyptus camaldulensis Progenies in the Savanna Biome in Mato Grosso, Brazil

H. Pistori, M. Constantino, Reginaldo Brito da Costa, 2016, PloS one.

Viable Yeast Identification using Bag of Visual Words in Colored images

W. Gonçalves, H. Pistori, Marco A. Alvarez, 2020 .

BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory pdf

Hemerson Pistori, José F. Rodrigues, Bruno Brandoli Machado, 2016, Comput. Electron. Agric..

Weighing live sheep using computer vision techniques and regression machine learning

Marcio Carneiro Brito Pache, Diego André Sant’Ana, Hemerson Pistori, 2021 .

Computer vision system for superpixel classification and segmentation of sheep

Marcio Carneiro Brito Pache, Wellington Pereira Soares, Sebastião Lucas Neves de Melo, 2022, Ecol. Informatics.

Determination of number of termite mounds supported by computational vision

Hemerson Pistori, Marcelo Theophilo Folhes, Fabricio de Lima Weber, 2019, Anais do Workshop de Visão Computacional (WVC).

Unsupervised deep learning and semi-automatic data labeling in weed discrimination

Hemerson Pistori, Alessandro dos Santos Ferreira, Daniel Matte Freitas, 2019, Comput. Electron. Agric..

A Review on Deep Learning in UAV Remote Sensing

L. Jorge, W. Gonçalves, E. Matsubara, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Long-term forecast of energy commodities price using machine learning

Hemerson Pistori, Jen-Je Su, Gabriel Paes Herrera, 2019, Energy.

Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques

Lucas Prado Osco, José Marcato Junior, Wesley Nunes Gonçalves, 2020, Remote. Sens..

A Review on Deep Learning in UAV Remote Sensing

L. Jorge, W. Gonçalves, E. Matsubara, 2021, Int. J. Appl. Earth Obs. Geoinformation.

A new strategy for applying grammatical inference to image classification problems

Peter A. Flach, H. Pistori, A. Calway, 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

Automatic live fingerlings counting using computer vision

Ariadne Barbosa Gonçalves, Celso Soares Costa, Hemerson Pistori, 2019, Comput. Electron. Agric..

Supervised Machine Learning and Bag of Words applied to Polen Grains Classification

Hemerson Pistori, Carolini Nascimento Martins Rodrigues, Ariadne Barbosa Goncalves, 2015, IEEE Latin America Transactions.

Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images

Hemerson Pistori, Bruno Brandoli Machado, Everton Castelão Tetila, 2017, IEEE Geoscience and Remote Sensing Letters.

Semi-supervised learning with convolutional neural networks for UAV images automatic recognition

João Paulo Papa, Hemerson Pistori, Everton Castelão Tetila, 2019, Comput. Electron. Agric..

Use of computer vision to verify the viability of guavira seeds treated with tetrazolium salt

Celso Soares Costa, Higor Henrique Picoli Nucci, H. Pistori, 2023, Smart Agricultural Technology.

Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks

Hemerson Pistori, Edson Takashi Matsubara, Geazy Vilharva Menezes, 2020, Comput. Electron. Agric..

Automatic theory formation in graph theory

Jacques Wainer, Hemerson Pistori, J. Wainer, 1999, J. Braz. Comput. Soc..

Computational Precision Livestock – Position Paper

H. Pistori, Camilo Carromeu, P. P. Pires, 2011 .

Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

Hemerson Pistori, José Marcato Junior, Wesley Nunes Gonçalves, 2021, Remote. Sens..

Aquaculture and innova on based on interac ve learning processes: Pacu

Marcio Carneiro Brito Pache, Diego André Sant’Ana, H. Pistori, 2022 .

Application of Superpixel to identify Maggots and their larval stages

Lucas Rodrigues de Lima, Eudamara Barbosa da Silva Acosta, Ariadne Barbosa Gonçalves, 2019, 2019 XV Workshop de Visão Computacional (WVC).

Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

Ariadne Barbosa Gonçalves, Hemerson Pistori, Junior Silva Souza, 2016, PloS one.

Unsupervised domain adaptation using transformers for sugarcane rows and gaps detection

W. Gonçalves, F. Melgani, J. M. Junior, 2022, Comput. Electron. Agric..

Machine learning and SLIC for Tree Canopies segmentation in urban areas

Diego André Sant’Ana, W. Gonçalves, Jonathan Li, 2021, Ecol. Informatics.

POLLEN73S: An image dataset for pollen grains classification

Ariadne Barbosa Gonçalves, Hemerson Pistori, Gilberto Astolfi, 2020, Ecol. Informatics.

A deep learning approach based on graphs to detect plantation lines pdf

Hemerson Pistori, José Marcato Junior, Wesley Nunes Gonçalves, 2021, Heliyon.

Deep learning applied in fish reproduction for counting larvae in images captured by smartphone

Celso Soares Costa, Mauro dos Santos de Arruda, Higor Henrique Picoli Nucci, 2022, Aquacultural Engineering.

Aerial Image Segmentation In Urban Environment For Vegetation Monitoring

Diego André Sant’Ana, Hemerson Pistori, Wesley Nunes Gonçalves, 2020, 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).

Classification of weed in soybean crops using unmanned aerial vehicle images

Hemerson Pistori, Everton Castelão Tetila, Gilberto Astolfi, 2019, Anais do Workshop de Visão Computacional (WVC).

Machine Learning Methods for Woody Volume Prediction in Eucalyptus

Regimar Garcia dos Santos, Gileno Brito de Azevedo, Glauce Taís de Oliveira Sousa Azevedo, 2023, Sustainability.

Deep Learning Techniques for Beef Cattle Body Weight Prediction

Hemerson Pistori, Mikel Gjergji, Vanessa Aparecida de Moraes Weber, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Predicting Eucalyptus Diameter at Breast Height and Total Height with UAV-Based Spectral Indices and Machine Learning

Hemerson Pistori, Wesley Nunes Gonçalves, Lucas Prado Osco, 2021, Forests.

A Review on Deep Learning in UAV Remote Sensing

L. Jorge, W. Gonçalves, E. Matsubara, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV

E. Honkavaara, R. Näsi, H. Pistori, 2022, Agronomy.

Automatic counting of cattle with Faster R-CNN on UAV images

Marcio Carneiro Brito Pache, João Vitor de Andrade Porto, Fábio Prestes Cesar Rezende, 2021, Anais do XVII Workshop de Visão Computacional (WVC 2021).

Deep Learning Applied to Equipment Detection on Flat Roofs in Images Captured by Uav

H. Pistori, V. A. G. Zanoni, Lara Monalisa Alves dos Santos, 2023, Social Science Research Network.

Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah

Hemerson Pistori, Everton Castelão Tetila, Edson Takashi Matsubara, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Cattle weight estimation using active contour models and regression trees Bagging

Hemerson Pistori, Edson Takashi Matsubara, Gilberto Astolfi, 2020, Comput. Electron. Agric..

Decision Tree Induction using Adaptive FSA

Hemerson Pistori, João José Neto, H. Pistori, 2018, CLEI Electron. J..

Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks

Vanessa Weber, Hemerson Pistori, Deborah Bambil, 2020, Environment Systems and Decisions.

Combining Syntactic Methods With LSTM to Classify Soybean Aerial Images

Marcio Carneiro Brito Pache, Everton Castelão Tetila, Gabriel Kirsten Menezes, 2021, IEEE Geoscience and Remote Sensing Letters.

Usage of few-shot learning and meta-learning in agriculture: A literature review

João Vitor de Andrade Porto, H. Pistori, Arlinda Cantero Dorsa, 2023, Smart Agricultural Technology.

Analysis of color feature extraction techniques for Fish Species Identification

Marcio Carneiro Brito Pache, W. Gonçalves, E. Matsubara, 2020 .

System for quantitative diagnosis of COVID-19 associated Pneumonia based on Superpixels with deep learning and chest CT

Everton Castelão Tetila, J. Barbedo, H. Pistori, 2023, OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA.

Mice and larvae tracking using a particle filter with an auto-adjustable observation model

Hemerson Pistori, Bruno Brandoli Machado, Wesley Nunes Gonçalves, 2010, Pattern Recognit. Lett..

Identifying plant species in kettle holes using UAV images and deep learning techniques

Diego André Sant’Ana, A. Eltner, V. Liesenberg, 2022, Remote Sensing in Ecology and Conservation.

Forensic palynology: computer vision and geotechnologies to support criminalistics expertise

Felipe Silveira Brito Borges, H. Su, H. Pistori, 2022, Research, Society and Development.

Software for Automatic Evaluation of Stretch Marks

Hemerson Pistori, Alessandro dos Santos Ferreira, Vanessa Aparecida de Moraes Weber, 2019, 2019 14th Iberian Conference on Information Systems and Technologies (CISTI).

Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning

Angelica Christina Melo Nunes Astolfi, João Vitor de Andrade Porto, E. Matsubara, 2021, PloS one.

Fingerlings mass estimation: a comparison between deep and shallow learning algorithms

H. Pistori, Gilberto Astolfi, Vanir Garcia, 2021, Smart Agricultural Technology.

MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture

W. Gonçalves, J. M. Junior, H. Pistori, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).