Hemerson Pistori

Orcid: 0000-0001-8181-760X

According to our database1, Hemerson Pistori authored at least 51 papers between 1999 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Using Deep Learning for Morphological Classification in Pigs with a Focus on Sanitary Monitoring.
CoRR, 2024

Pig aggression classification using CNN, Transformers and Recurrent Networks.
CoRR, 2024

Aedes aegypti Egg Counting with Neural Networks for Object Detection.
CoRR, 2024

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

Exploring Cluster Analysis in Nelore Cattle Visual Score Attribution.
CoRR, 2024

A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification.
CoRR, 2024

2023
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Computer vision system for superpixel classification and segmentation of sheep.
Ecol. Informatics, 2022

Prediction of fingerling biomass with deep learning.
Ecol. Informatics, 2022

Non-intrusively estimating the live body biomass of Pintado Real® fingerlings: A feature selection approach.
Ecol. Informatics, 2022

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

Unsupervised domain adaptation using transformers for sugarcane rows and gaps detection.
Comput. Electron. Agric., 2022

2021
Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data.
Remote. Sens., 2021

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

Associative classification model for forecasting stock market trends.
Int. J. Bus. Intell. Data Min., 2021

Machine learning and SLIC for Tree Canopies segmentation in urban areas.
Ecol. Informatics, 2021

A Deep Learning Approach Based on Graphs to Detect Plantation Lines.
CoRR, 2021

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

2020
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques.
Remote. Sens., 2020

Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2020

A Deep-Learning Approach for Automatic Counting of Soybean Insect Pests.
IEEE Geosci. Remote. Sens. Lett., 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

Detection and classification of soybean pests using deep learning with UAV images.
Comput. Electron. Agric., 2020

A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices.
Comput. Electron. Agric., 2020

Deep Learning Techniques for Beef Cattle Body Weight Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Unsupervised deep learning and semi-automatic data labeling in weed discrimination.
Comput. Electron. Agric., 2019

Semi-supervised learning with convolutional neural networks for UAV images automatic recognition.
Comput. Electron. Agric., 2019

Automatic live fingerlings counting using computer vision.
Comput. Electron. Agric., 2019

Image Segmentation and Classification with SLIC Superpixel and Convolutional Neural Network in Forest Context.
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

2017
Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images.
IEEE Geosci. Remote. Sens. Lett., 2017

Weed detection in soybean crops using ConvNets.
Comput. Electron. Agric., 2017

2016
BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory.
Comput. Electron. Agric., 2016

2015
Identificação de Viabilidade de Leveduras Com Corante Vital Utilizando Histogramas de Palavras Visuais em Imagens Coloridas.
RITA, 2015

2012
Combining Color and Haar Wavelet Responses for Aerial Image Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2010
Mice and larvae tracking using a particle filter with an auto-adjustable observation model.
Pattern Recognit. Lett., 2010

Attributes Reduction Applied to Leather Defects Classification.
Proceedings of the SIBGRAPI 2010, 2010

Comparison of Shape Descriptors for Mice Behavior Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2007
Multiple Mice Tracking using a Combination of Particle Filter and K-Means.
Proceedings of the SIBGRAPI 2007, 2007

SVM with Stochastic Parameter Selection for Bovine Leather Defect Classification.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

Hidden Markov Models Applied to Snakes Behavior Identification.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

2006
Defect detection in raw hide and wet blue leather.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006

Computer vision and digital inclusion of persons with special needs: Overview and state of art.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006

2004
An Experiment on Handshape Sign Recognition Using Adaptive Technology: Preliminary Results.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

2003
Adaptive technology in computer engineering: state of art and applications (Tecnologia adaptativa em engenharia de computação: estado da arte e aplicações).
PhD thesis, 2003

Decision Tree Induction using Adaptive FSA.
CLEI Electron. J., 2003

1999
Automatic theory formation in graph theory.
J. Braz. Comput. Soc., 1999


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