Search Results - "Negri, G."
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1
Unsupervised Multitemporal Triclass Change Detection
Published in IEEE transactions on geoscience and remote sensing (2024)“…Change detection is a fundamental task that involves assessing changes in a given region over multiple time periods. It has been widely applied across various…”
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2
Comparative Chemistry of Propolis from Eight Brazilian Localities
Published in Evidence-based complementary and alternative medicine (01-01-2013)“…Propolis is a complex honeybee product with resinous aspect, containing plant exudates and beeswax. Their color, texture, and chemical composition vary,…”
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3
Mapping Burned Areas with Multitemporal–Multispectral Data and Probabilistic Unsupervised Learning
Published in Remote sensing (Basel, Switzerland) (01-11-2022)“…The occurrence of forest fires has increased significantly in recent years across the planet. Events of this nature have resulted in the leveraging of new…”
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4
Wavelet Spatio-Temporal Change Detection on Multitemporal SAR Images
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-01-2023)“…We introduce the WECS (Wavelet Energies Correlation Screening), an unsupervised method to detect spatio-temporal changes on multitemporal SAR images. The…”
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Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach
Published in Pattern analysis and applications : PAA (01-08-2021)“…The Earth’s environment is continually changing due to both human and natural factors. Timely identification of the location and kind of change is of paramount…”
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Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection
Published in Remote sensing (Basel, Switzerland) (01-05-2022)“…The economic and environmental impacts of wildfires have leveraged the development of new technologies to prevent and reduce the occurrence of these…”
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A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products
Published in Remote sensing (Basel, Switzerland) (01-09-2022)“…Progressively monitoring water quality is crucial, as aquatic contaminants can pose risks to human health and other organisms. Machine learning can support the…”
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Clinical and molecular characterization of Rubinstein-Taybi syndrome patients carrying distinct novel mutations of the EP300 gene
Published in Clinical genetics (01-02-2015)“…Rubinstein‐Taybi syndrome (RSTS) is a rare congenital neurodevelopmental disorder characterized by postnatal growth deficiency, skeletal abnormalities,…”
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9
Spontaneous pneumothorax in cocaine users
Published in QJM : An International Journal of Medicine (01-07-2019)“…Pneumothorax is one of the respiratory toxic effects of cocaine inhalation. The literature counts several cases, some associated to other respiratory…”
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10
Urban structure type mapping method using spatial metrics and remote sensing imagery classification
Published in Earth science informatics (01-12-2021)“…Urban Structure Types (USTs) stand for areas with homogeneous appearance over the urban matrix. The use of spatial metrics rises as a convenient alternative to…”
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11
WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets
Published in Eng (Basel, Switzerland) (01-12-2023)“…This article addresses the challenges of selecting robust classifiers with increasing noise levels in real-world scenarios. We propose the WB Score…”
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12
Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil
Published in Bioengineering (Basel) (01-10-2022)“…Considering the imminence of new SARS-CoV-2 variants and COVID-19 vaccine availability, it is essential to understand the impact of the disease on the most…”
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13
GOES ABI-derived hailstorm polygons and tracking dataset for Brazil
Published in Data in brief (01-08-2024)“…This paper describes a dataset of convective systems (CSs) associated with hailstorms over Brazil tracked using GOES-16 Advanced Baseline Imager (ABI)…”
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14
Insights into genotype-phenotype correlations from CREBBP point mutation screening in a cohort of 46 Rubinstein-Taybi syndrome patients
Published in Clinical genetics (01-11-2015)“…The genetic basis of Rubinstein–Taybi syndrome (RSTS), a rare, sporadic, clinically heterogeneous disorder characterized by cognitive impairment and a wide…”
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15
Magnetic Aging Effect Losses on Electrical Steels
Published in IEEE transactions on magnetics (01-05-2016)“…The magnetic losses behavior on electrical steels related to the magnetic aging is analyzed in this paper. Experimental procedures involving thermal,…”
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16
A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods
Published in Anais da Academia Brasileira de Ciências (01-01-2022)“…The reduction of the green areas due to the growth of the built-up areas has affected the environmental quality in cities. Nevertheless, some uncertainties…”
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17
A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration
Published in Bioengineering (Basel) (01-08-2022)“…In ophthalmology, the registration problem consists of finding a geometric transformation that aligns a pair of images, supporting eye-care specialists who…”
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18
The dysregulation profile in children and adolescents: a potential index for major psychopathology?
Published in Epidemiology and psychiatric sciences (01-06-2012)“…We here review the literature on Child Behaviour Checklist-Dysregulation Profile (CBCL-DP) index, which potentially represents a developmental profile of major…”
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19
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
Published in International journal of digital earth (03-06-2019)“…Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and…”
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20
Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection
Published in Geosciences (Basel) (01-04-2023)“…Floods are among the most frequent and costly rainfall-triggered disasters. In this context, geospatial content generated by non-professionals using geolocated…”
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