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Unsupervised Multitemporal Triclass Change Detection

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-17

2024

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Wavelet Spatio-Temporal Change Detection on Multitemporal SAR Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2023-01, Vol.16, p.4013-4023

2023

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Mapping Burned Areas with Multitemporal–Multispectral Data and Probabilistic Unsupervised Learning

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5413

2022

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Comparative Chemistry of Propolis from Eight Brazilian Localities

Evidence-based complementary and alternative medicine, 2013-01, Vol.2013 (2013), p.1-14

2013

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Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2429

2022

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Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach

Pattern analysis and applications : PAA, 2021-08, Vol.24 (3), p.933-949

2021

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A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4283

2022

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Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil

Bioengineering (Basel), 2022-10, Vol.9 (10), p.584

2022

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Urban structure type mapping method using spatial metrics and remote sensing imagery classification

Earth science informatics, 2021-12, Vol.14 (4), p.2357-2372

2021

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WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets

Eng (Basel, Switzerland), 2023-12, Vol.4 (4), p.2497-2513

2023

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GOES ABI-derived hailstorm polygons and tracking dataset for Brazil

Data in brief, 2024-08, Vol.55, p.110736, Article 110736

2024

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Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series

Sustainability, 2023-03, Vol.15 (6), p.4725

2023

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Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

International journal of digital earth, 2019-06, Vol.12 (6), p.699-719

2019

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Magnetic Aging Effect Losses on Electrical Steels

IEEE transactions on magnetics, 2016-05, Vol.52 (5), p.1-4

2016

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A general and extensible framework for assessing change detection techniques

Computers & geosciences, 2023-09, Vol.178, p.105390, Article 105390

2023

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A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration

Bioengineering (Basel), 2022-08, Vol.9 (8), p.369

2022

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Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection

Geosciences (Basel), 2023-04, Vol.13 (4), p.111

2023

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Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world’s largest sanctuary for Jaguars

Earth science informatics, 2023-12, Vol.16 (4), p.3257-3267

2023

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Machine learning framework for modeling flocculation kinetics using non-intrusive dynamic image analysis

The Science of the total environment, 2024-01, Vol.908, p.168452-168452, Article 168452

2024

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Evidence for CD19B–CD8T cell interactions in blood and tissues from patients with GvHD

Bone marrow transplantation (Basingstoke), 2017-03, Vol.52 (3), p.459-462

2017

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Comparing support vector machine contextual approaches for urban area classification

Remote sensing letters, 2016-05, Vol.7 (5), p.485-494

2016

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ABD: A machine intelligent-based algal bloom detector for remote sensing images

Software impacts, 2023-03, Vol.15, p.100482, Article 100482

2023

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MI-NiDIA: A scalable framework for modeling flocculation kinetics and floc evolution in water treatment

Software impacts, 2024-05, Vol.20, p.100662, Article 100662

2024

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A new image-based technique for measuring pore size distribution of nonwoven geotextiles

Geosynthetics international, 2019-06, Vol.26 (3), p.261-272

2019

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ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series

Software impacts, 2023-09, Vol.17, p.100518, Article 100518

2023

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Unsupervised Multitemporal Triclass Change Detection

Wavelet Spatio-Temporal Change Detection on Multitemporal SAR Images

Mapping Burned Areas with Multitemporal–Multispectral Data and Probabilistic Unsupervised Learning

Comparative Chemistry of Propolis from Eight Brazilian Localities

Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection

Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach

A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products

Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil

Urban structure type mapping method using spatial metrics and remote sensing imagery classification

WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets

GOES ABI-derived hailstorm polygons and tracking dataset for Brazil

Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series

Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances

Magnetic Aging Effect Losses on Electrical Steels

A general and extensible framework for assessing change detection techniques

A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration

Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection

Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world’s largest sanctuary for Jaguars

Machine learning framework for modeling flocculation kinetics using non-intrusive dynamic image analysis

Evidence for CD19B–CD8T cell interactions in blood and tissues from patients with GvHD

Comparing support vector machine contextual approaches for urban area classification

ABD: A machine intelligent-based algal bloom detector for remote sensing images

MI-NiDIA: A scalable framework for modeling flocculation kinetics and floc evolution in water treatment

A new image-based technique for measuring pore size distribution of nonwoven geotextiles

ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series

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