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Prof. Nelson Ebecken
www.coppe.ufrj.br

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0 Data Analytics
0 Petroleum Engineering
0 Probabilistic Models
0 Uncertainty Analysis

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Machine Learning and Deep Learning
Uncertainty Analysis
Computational and artificial intelligence

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Short Biography

Nelson F. F. Ebecken is a Professor of Computational Systems at COPPE/Federal University of Rio de Janeiro. He is senior member of the IEEE and ACM. He has given courses on Computational Methods for Engineering Problems since 1973. He has published 142 articles in scientific journals. He has advised 132 M.Sc. and 133 D.Sc. theses. His research focuses on natural computing methodologies for modeling and extracting knowledge from data and their application across different disciplines. He develops models for complex systems, big data and integrates ideas and computational tools. In 2005 he was awarded as member of the Brazilian Academy of Sciences.

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Journal article
Published: 08 June 2021 in IEEE Latin America Transactions
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The e-sic system aims to centralize requests for access to information addressed to the Brazilian Federal Executive. However, the volume of requests received can be an impediment to responses to those requests. The purpose of this article is to create an automatic classifier for these requests. For that, they were analyzed as architectures of the Convolutional Neural Network (CNN) and of Long Short Term Memory (LSTM), as well as a combination of these two architectures in order to identify the best architectures to this problem. The metrics used to evaluate the results were the area under curve roc and accuracy, and the error function used was cross entropy. The study concluded that the CNN network performed the best. Thus, the main contribution of this article is the identification of the most appropriate network architecture for classifying texts of interaction between citizens and government written in Portuguese.

ACS Style

Eduardo Paiva; Andrea Paim; Nelson Ebecken. Convolutional Neural Networks and Long Short-Term Memory Networks for Textual Classification of Information Access Requests. IEEE Latin America Transactions 2021, 19, 826 -833.

AMA Style

Eduardo Paiva, Andrea Paim, Nelson Ebecken. Convolutional Neural Networks and Long Short-Term Memory Networks for Textual Classification of Information Access Requests. IEEE Latin America Transactions. 2021; 19 (5):826-833.

Chicago/Turabian Style

Eduardo Paiva; Andrea Paim; Nelson Ebecken. 2021. "Convolutional Neural Networks and Long Short-Term Memory Networks for Textual Classification of Information Access Requests." IEEE Latin America Transactions 19, no. 5: 826-833.

Journal article
Published: 18 April 2021 in Computers & Security
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Web Application Firewalls penalizes everyone, including latency in all requests, whether they are malicious or not. Several studies have reported the benefits of using Machine Learning to extract new rules to detect malware and malicious web requests. However, comparing the metrics of the models with their use of computational resources remains to be accomplished. This work aims to show a distributed WAF architecture, using ML classifiers as one of its components. Instead of having an enforcement point that analyzes the complete HTTP protocol for violations in this architecture, we have a trained classifier to detect them. The first part of this work verifies the viability of using classifiers based on their metrics, such as accuracy and recall. We analyze two datasets and make comparisons about their use. The second part of this paper compares ML models’ prediction processing time and a rules-based engine’s processing time. The classifiers used in this paper had a processing time of about 18x less than a rule-based engine. We also show that a classifier can find errors in the classification of a dataset generated by a WAF based on rules. We present samples and experimental codes to show the difference in approaches.

ACS Style

Manoel Domingues Junior; Nelson F.F. Ebecken. A new WAF architecture with machine learning for resource-efficient use. Computers & Security 2021, 106, 102290 .

AMA Style

Manoel Domingues Junior, Nelson F.F. Ebecken. A new WAF architecture with machine learning for resource-efficient use. Computers & Security. 2021; 106 ():102290.

Chicago/Turabian Style

Manoel Domingues Junior; Nelson F.F. Ebecken. 2021. "A new WAF architecture with machine learning for resource-efficient use." Computers & Security 106, no. : 102290.

Original article
Published: 01 December 2020 in Revista Brasileira de Medicina do Esporte
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Introduction: Interactions of Facebook users led to a study of the influence that users can exert on behavioral changes for a healthier life. Objective: To analyze the behavior of Facebook users in order to define the Users' Behavioral Patterns, by monitoring the practice of physical activities shared online, aided by a social competition among users, with the aim of combating sedentarism through the modern attraction of technology and gamification. Methods: A computational tool was developed to extract data from physical activity shared online. The tool, named FitRank, has permissions to access users' data. Tables and classifications were generated based on an analysis of the data in the database, using decision tree algorithms and descriptive statistical analysis. Results: users were classified according to sociodemographic data, and data on the creation of competitive rankings and the practice of physical activities, including the definition of the User's Behavioral Pattern. Conclusion: The study suggested the importance of technological innovations to combat sedentarism, in line with current social entertainment technologies to make them more enjoyable and motivating for the regular practice of physical activities and to provide a better quality of life. Level of Evidence II; Retrospective study.

ACS Style

Fábio Paschoal Júnior; Gabriel Vinicius Silva Ribeiro; Leandro Moniz De Aragão Daquer; Renato Campos Mauro; Eduardo Soares Ogasawara; Nelson Francisco Favilla Ebecken. PHYSICAL ACTIVITY LEVEL OF FACEBOOK USERS. Revista Brasileira de Medicina do Esporte 2020, 26, 517 -522.

AMA Style

Fábio Paschoal Júnior, Gabriel Vinicius Silva Ribeiro, Leandro Moniz De Aragão Daquer, Renato Campos Mauro, Eduardo Soares Ogasawara, Nelson Francisco Favilla Ebecken. PHYSICAL ACTIVITY LEVEL OF FACEBOOK USERS. Revista Brasileira de Medicina do Esporte. 2020; 26 (6):517-522.

Chicago/Turabian Style

Fábio Paschoal Júnior; Gabriel Vinicius Silva Ribeiro; Leandro Moniz De Aragão Daquer; Renato Campos Mauro; Eduardo Soares Ogasawara; Nelson Francisco Favilla Ebecken. 2020. "PHYSICAL ACTIVITY LEVEL OF FACEBOOK USERS." Revista Brasileira de Medicina do Esporte 26, no. 6: 517-522.

Journal article
Published: 20 November 2020 in Sustainability
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This paper aims to analyze the strategies that healthcare professionals have adopted during the coronavirus pandemic (COVID-19) in long-term care organizations in Rio de Janeiro city, Brazil, by investigating their competencies—mainly managerial ones. To reach its goals, this paper performs empirical research and theoretical research. For the empirical research, the plans of professionals during COVID-19 pandemic in long-term care organizations are observed, and a questionnaire is applied to analyze observed data integrity. The data are analyzed through the Python and IBM SPSS Statistic programming languages, and descriptive analyses use descriptive statistic proportions, rates, minimum, maximum, mean, median, standard deviation, and coefficient of variation (CV). A non-parametric approach performs repeated measure comparisons using Wilcoxon’s test, while the McNemmar test is used to repeat the categorical variables. Statistical significance is assumed at the 5% level. For the theoretical research, a literature review is developed using scientific databases. The results show that for the searched period, the number of deaths and the number of people infected by COVID-19 in these organizations are low when compared to general statistics of Rio de Janeiro city. This paper concludes that these strategical adoptions have brought significant benefits to long-term care organizations, and it might motivate researchers to develop future studies related to long-term care organizations, helping to fill the literature gap on the subject.

ACS Style

Ana Dias; Annibal Scavarda; Augusto Reis; Haydee Silveira; Nelson Ebecken. Managerial Strategies for Long-Term Care Organization Professionals: COVID-19 Pandemic Impacts. Sustainability 2020, 12, 9682 .

AMA Style

Ana Dias, Annibal Scavarda, Augusto Reis, Haydee Silveira, Nelson Ebecken. Managerial Strategies for Long-Term Care Organization Professionals: COVID-19 Pandemic Impacts. Sustainability. 2020; 12 (22):9682.

Chicago/Turabian Style

Ana Dias; Annibal Scavarda; Augusto Reis; Haydee Silveira; Nelson Ebecken. 2020. "Managerial Strategies for Long-Term Care Organization Professionals: COVID-19 Pandemic Impacts." Sustainability 12, no. 22: 9682.

Journal article
Published: 20 November 2020 in Revista Brasileira de Geografia Física
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RESUMOO balanço de calor na interação oceano-atmosfera tem forte influência da temperatura da superfície do mar (TSM) e, portanto, pequenas variações podem levar a variações significativas nos fluxos de calor, os quais desempenham um papel importante nos sistemas climáticos. Excesso de calor armazenado nos oceanos vem causando aumentos na temperatura cujo desequilíbrio de energia torna-se uma das formas de quantificar a taxa de aquecimento global. Estudos recentes mostram que em 2019 ocorreu o maior aquecimento em todo período já registrado. Neste trabalho são investigadas tendências nas séries anuais e sazonais da TSM, em seis pontos ao longo da plataforma continental do sul do Brasil, Uruguai e Argentina, bem como, o número de ocorrência (Noc) de extremos acima do percentil de 90, utilizando-se dados de reanálise Era-Interin do European Centre for Medium-Range Weather Forecasts de 1979 a 2018. Testes estatísticos não-paramétricos de Mann-Kendall, declividade Sen e Pettitt foram utilizados para testar a estacionariedade e eventuais mudanças bruscas na média das séries temporais. Resultados da análise descritiva mostram picos nos valores máximos anuais a partir do ano 2000, assim como, tendências positivas nas anomalias e nos Noc de extremos. Os maiores valores de TSM foram verificados no verão (JFM), porém próximo ao sul do Brasil ocorreram, também, em abril e maio de 2018. Testes estatísticos confirmam tendências positivas e mudanças na média entre final de 1990 e início de 2000, principalmente na TSMMáx. Concluímos que no padrão de máximos da TSM na região de estudo ocorreu um aquecimento no período analisado.

ACS Style

Marilia Mitidieri Fernandes De Oliveira; Jorge Luiz Fernandes De Oliveira; Pedro José Farias Fernandes; Nelson Francisco Favilla Ebecken. Análise de Tendências Anuais e Sazonais de Extremos da Temperatura da Superfície do Mar Próximo à Costa da América do Sul no Período de 1979 a 2018. Revista Brasileira de Geografia Física 2020, 13, 2531 -2552.

AMA Style

Marilia Mitidieri Fernandes De Oliveira, Jorge Luiz Fernandes De Oliveira, Pedro José Farias Fernandes, Nelson Francisco Favilla Ebecken. Análise de Tendências Anuais e Sazonais de Extremos da Temperatura da Superfície do Mar Próximo à Costa da América do Sul no Período de 1979 a 2018. Revista Brasileira de Geografia Física. 2020; 13 (6):2531-2552.

Chicago/Turabian Style

Marilia Mitidieri Fernandes De Oliveira; Jorge Luiz Fernandes De Oliveira; Pedro José Farias Fernandes; Nelson Francisco Favilla Ebecken. 2020. "Análise de Tendências Anuais e Sazonais de Extremos da Temperatura da Superfície do Mar Próximo à Costa da América do Sul no Período de 1979 a 2018." Revista Brasileira de Geografia Física 13, no. 6: 2531-2552.

Journal article
Published: 28 June 2020 in Remote Sensing
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We classify low-backscatter regions observed in Synthetic Aperture Radar (SAR) measurements of the surface of the ocean as either oil slicks or look-alike slicks (radar false targets). Our proposed classification algorithm is based on Linear Discriminant Analyses (LDAs) of RADARSAT-1 measurements (402 scenes off the southeast coast of Brazil from July 2001 to June 2003) and Meteorological-Oceanographic (MetOc) data from other earth observation sensors: Advanced Very High Resolution Radiometer (AVHRR), Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS), and Quick Scatterometer (QuikSCAT). Oil slicks are sea-surface expressions of exploration and production oil, ship- and orphan-spills. False targets are associated with environmental phenomena, such as biogenic films, algal blooms, upwelling, low wind, or rain cells. Both categories have been interpreted by domain-experts: mineral oil (n=350; 45.5%) and petroleum free (n=419; 54.5%). We explore nine size variables (area, perimeter, etc.) and three types of MetOc information (sea surface temperature, chlorophyll-a, and wind speed) that describe the 769 samples analyzed. Seven attribute–domain combinations are tested with three non-linear transformations (none, cube root, log10), with and without MetOc, adding to 39 attribute subdivisions. Classification accuracies are independent of data transformation and improve when selected size attributes are combined with MetOc, leading to overall accuracies of ~80% and sound levels of sensitivity (~90%), specificity (~80%), positive (~80%) and negative (~90%) predictive values. The effectiveness of this data-driven attempt supports further commercial or academic implementation of our LDA algorithm.

ACS Style

Gustavo Carvalho; Peter Minnett; Nelson Ebecken; Luiz Landau. Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements. Remote Sensing 2020, 12, 2078 .

AMA Style

Gustavo Carvalho, Peter Minnett, Nelson Ebecken, Luiz Landau. Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements. Remote Sensing. 2020; 12 (13):2078.

Chicago/Turabian Style

Gustavo Carvalho; Peter Minnett; Nelson Ebecken; Luiz Landau. 2020. "Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements." Remote Sensing 12, no. 13: 2078.

Book chapter
Published: 01 December 2018 in Estudos Cindínicos
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ACS Style

Marina Aires; Jorge Luiz Fernandes De Oliveira; José Maria De Castro Junior; Marilia Mitidieri Fernandes De Oliveira; Nelson Francisco Favilla Ebecken; Univ. Federal Do Rio De Janeiro. Análise e modelagem numérica da atmosfera na avaliação e prevenção de riscos decorrentes de eventos meteorológicos extremos: estudo de caso para Petrópolis, RJ - Brasil. Estudos Cindínicos 2018, 311 -329.

AMA Style

Marina Aires, Jorge Luiz Fernandes De Oliveira, José Maria De Castro Junior, Marilia Mitidieri Fernandes De Oliveira, Nelson Francisco Favilla Ebecken, Univ. Federal Do Rio De Janeiro. Análise e modelagem numérica da atmosfera na avaliação e prevenção de riscos decorrentes de eventos meteorológicos extremos: estudo de caso para Petrópolis, RJ - Brasil. Estudos Cindínicos. 2018; ():311-329.

Chicago/Turabian Style

Marina Aires; Jorge Luiz Fernandes De Oliveira; José Maria De Castro Junior; Marilia Mitidieri Fernandes De Oliveira; Nelson Francisco Favilla Ebecken; Univ. Federal Do Rio De Janeiro. 2018. "Análise e modelagem numérica da atmosfera na avaliação e prevenção de riscos decorrentes de eventos meteorológicos extremos: estudo de caso para Petrópolis, RJ - Brasil." Estudos Cindínicos , no. : 311-329.

Journal article
Published: 01 September 2017 in Expert Systems with Applications
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Synthetic Aperture Radars (SAR) are the main instrument used to support oil detection systems. In the microwave spectrum, oil slicks are identified as dark spots, regions with low backscatter at sea surface. Automatic and semi-automatic systems were developed to minimize processing time, the occurrence of false alarms and the subjectivity of human interpretation. This study presents an intelligent hybrid system, which integrates automatic and semi-automatic procedures to detect dark spots, in six steps: (I) SAR pre-processing; (II) Image segmentation; (III) Feature extraction and selection; (IV) Automatic clustering analysis; (V) Decision rules and, if needed; (VI) Semi-automatic processing. The results proved that the feature selection is essential to improve the detection capability, keeping only five pattern features to automate the clustering procedure. The semi-automatic method gave back more accurate geometries. The automatic approach erred more including regions, increasing the dark spots area, while the semi-automatic method erred more excluding regions. For well-defined and contrasted dark spots, the performance of the automatic and the semi-automatic methods is equivalent. However, the fully automatic method did not provide acceptable geometries in all cases. For these cases, the intelligent hybrid system was validated, integrating the semi-automatic approach, using compact and simple decision rules to request human intervention when needed. This approach allows for the combining of benefits from each approach, ensuring the quality of the classification when fully automatic procedures are not satisfactory.

ACS Style

Patrícia Genovez; Nelson Ebecken; Corina Freitas; Cristina Bentz; Ramon Freitas. Intelligent hybrid system for dark spot detection using SAR data. Expert Systems with Applications 2017, 81, 384 -397.

AMA Style

Patrícia Genovez, Nelson Ebecken, Corina Freitas, Cristina Bentz, Ramon Freitas. Intelligent hybrid system for dark spot detection using SAR data. Expert Systems with Applications. 2017; 81 ():384-397.

Chicago/Turabian Style

Patrícia Genovez; Nelson Ebecken; Corina Freitas; Cristina Bentz; Ramon Freitas. 2017. "Intelligent hybrid system for dark spot detection using SAR data." Expert Systems with Applications 81, no. : 384-397.

Articles
Published: 17 August 2017 in Brazilian Journal of Biology
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Short-period variability in plankton communities is poorly documented, especially for variations occurring in specific groups in the assemblage because traditional analysis is laborious and time-consuming. Moreover, it does not allow the high sampling frequency required for decision making. To overcome this limitation, we tested the submersible CytoSub flow cytometer. This device was anchored at a distance of approximately 10 metres from the low tide line at a depth of 1.5 metres for 12 hours to monitor the plankton at a site in the biological reserve of Barra da Tijuca beach, Rio de Janeiro. Data analysis was performed with two-dimensional scatter plots, individual pulse shapes and micro images acquisition. High-frequency monitoring results of two interesting groups are shown. The abundance and carbon biomass of ciliates were relatively stable, whereas those from dinoflagellates were highly variable along the day. The linear regression of biovolume measures between classical microscopy and in situ flow cytometry demonstrate high degree of adjustment. Despite the success of the trial and the promising results obtained, the large volume of images generated by the method also creates a need to develop pattern recognition models for automatic classification of in situ cytometric images.

ACS Style

G. C. Pereira; A. R. Figueiredo; N. F. F. Ebecken. Using in situ flow cytometry images of ciliates and dinoflagellates for aquatic system monitoring. Brazilian Journal of Biology 2017, 78, 240 -247.

AMA Style

G. C. Pereira, A. R. Figueiredo, N. F. F. Ebecken. Using in situ flow cytometry images of ciliates and dinoflagellates for aquatic system monitoring. Brazilian Journal of Biology. 2017; 78 (2):240-247.

Chicago/Turabian Style

G. C. Pereira; A. R. Figueiredo; N. F. F. Ebecken. 2017. "Using in situ flow cytometry images of ciliates and dinoflagellates for aquatic system monitoring." Brazilian Journal of Biology 78, no. 2: 240-247.

Conference paper
Published: 01 June 2017 in 2017 12th Iberian Conference on Information Systems and Technologies (CISTI)
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ACS Style

Fabio Paschoal; Nelson Francisco Favilla Ebecken; Gabriel Vinicius Silva Ribeiro; Leandro Moniz De Aragao Daquer; Renato Campos Mauro; Eduardo Soares Ogasawara. FitRank — Social app to combat physical inactivity study of the use of fitness social apps on Facebook's users profiles. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) 2017, 1 -6.

AMA Style

Fabio Paschoal, Nelson Francisco Favilla Ebecken, Gabriel Vinicius Silva Ribeiro, Leandro Moniz De Aragao Daquer, Renato Campos Mauro, Eduardo Soares Ogasawara. FitRank — Social app to combat physical inactivity study of the use of fitness social apps on Facebook's users profiles. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). 2017; ():1-6.

Chicago/Turabian Style

Fabio Paschoal; Nelson Francisco Favilla Ebecken; Gabriel Vinicius Silva Ribeiro; Leandro Moniz De Aragao Daquer; Renato Campos Mauro; Eduardo Soares Ogasawara. 2017. "FitRank — Social app to combat physical inactivity study of the use of fitness social apps on Facebook's users profiles." 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1-6.

Articles
Published: 25 May 2017 in International Journal of Remote Sensing
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The objective of this study is to predict the sugarcane yield in São Paulo State, Brazil, using metrics derived from normalized difference vegetation index (NDVI) time series from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor and an ensemble model of artificial neural networks (ANNs). Sixty municipalities were selected and spectral metrics were extracted from the NDVI time series for each municipality from 2003 to 2012. A neural network wrapper with sequential backward elimination was applied to remove irrelevant and/or redundant features from the initial data set, reducing over-fitting and improving the prediction performance. Afterwards the sugarcane yield was predicted using a stacking ensemble model with ANN. At the predicted yield, the relative root mean square error (RRMSE) was 6.8% and the coefficient of determination (R2) was 0.61. The last three months were removed from the initial time-series data set to forecast the final sugarcane yield, and the process was repeated. The feature selection (FS) improved again the prediction performance and Stacking improved the FS results: RRMSE increased to 8% and R2 to 0.43. The yield was also estimated for the entire State, based on the average of the 60 selected municipalities, which were compared to the official data surveys. The Stacking method was able to estimate the sugarcane yield for São Paulo State with a smaller RMSE than the official data surveys, anticipating the crop forecast by three months before the harvest.

ACS Style

Jeferson Lobato Fernandes; Nelson Francisco Favilla Ebecken; Júlio Esquerdo. Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble. International Journal of Remote Sensing 2017, 38, 4631 -4644.

AMA Style

Jeferson Lobato Fernandes, Nelson Francisco Favilla Ebecken, Júlio Esquerdo. Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble. International Journal of Remote Sensing. 2017; 38 (16):4631-4644.

Chicago/Turabian Style

Jeferson Lobato Fernandes; Nelson Francisco Favilla Ebecken; Júlio Esquerdo. 2017. "Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble." International Journal of Remote Sensing 38, no. 16: 4631-4644.

Original paper
Published: 28 October 2016 in Natural Hazards
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An analysis of the occurrences of events related to precipitation, considering extensive and intensive risk, i.e., emergencies and disasters, based on twenty-nine years of data for five cities of Ecuador provided relevant information about the behavior over time of floods, river overflows and landslides. The records of events were examined in the immediate and in the short term, which corresponded to 5 and 30 days, respectively, using the data mining methods k-means and association rules, to identify the patterns that govern their behaviors with respect to the observed amount of precipitation. The results show an increase in the frequency of similar events, with the occurrences being separated by shorter periods in recent decades. The behavior of emergencies and disasters indicates that emergencies are expected for periods of 5 days, with low quantities of precipitation and for periods of 30 days with normal quantities of precipitation. Disasters are expected, for both periods of 5 and 30 days, in the higher quantiles of precipitation. Interrelations between floods, river overflows and landslides were identified in all cities, with at least one relationship between two of the hazards for each city. An apparent flood–river overflow–landslide cycle could explain the mechanics of their occurrence. The information provided by the results indicates the vulnerability of the cities over time, their low capacity to support normal quantities of precipitation and their high exposure to hydro-meteorological hazards. The products obtained could be used together with precipitation prediction to anticipate possible effects and to formulate adequate risk management policies.

ACS Style

Katiusca M. Briones-Estébanez; Nelson Ebecken. Occurrence of emergencies and disaster analysis according to precipitation amount. Natural Hazards 2016, 85, 1437 -1459.

AMA Style

Katiusca M. Briones-Estébanez, Nelson Ebecken. Occurrence of emergencies and disaster analysis according to precipitation amount. Natural Hazards. 2016; 85 (3):1437-1459.

Chicago/Turabian Style

Katiusca M. Briones-Estébanez; Nelson Ebecken. 2016. "Occurrence of emergencies and disaster analysis according to precipitation amount." Natural Hazards 85, no. 3: 1437-1459.

Journal article
Published: 01 October 2016 in Ecological Modelling
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ACS Style

Lúcio Pereira De Andrade; Rogério Pinto Espíndola; Gilberto Carvalho Pereira; Nelson Francisco Favilla Ebecken. Fuzzy modeling of plankton networks. Ecological Modelling 2016, 337, 149 -155.

AMA Style

Lúcio Pereira De Andrade, Rogério Pinto Espíndola, Gilberto Carvalho Pereira, Nelson Francisco Favilla Ebecken. Fuzzy modeling of plankton networks. Ecological Modelling. 2016; 337 ():149-155.

Chicago/Turabian Style

Lúcio Pereira De Andrade; Rogério Pinto Espíndola; Gilberto Carvalho Pereira; Nelson Francisco Favilla Ebecken. 2016. "Fuzzy modeling of plankton networks." Ecological Modelling 337, no. : 149-155.

Book chapter
Published: 01 July 2016 in Computer Vision
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ACS Style

Thiago Schons; Carolina R. Xavier; Alexandre G. Evsukoff; Nelson F. F. Ebecken; Vinícius Da F. Vieira; Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Ana Maria A.C. Rocha; Carmelo M. Torre; David Taniar; Bernady O. Apduhan; Elena Stankova; Shangguang Wang. Analysis Spreading Patterns Generated by Model. Computer Vision 2016, 9790, 337 -349.

AMA Style

Thiago Schons, Carolina R. Xavier, Alexandre G. Evsukoff, Nelson F. F. Ebecken, Vinícius Da F. Vieira, Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A.C. Rocha, Carmelo M. Torre, David Taniar, Bernady O. Apduhan, Elena Stankova, Shangguang Wang. Analysis Spreading Patterns Generated by Model. Computer Vision. 2016; 9790 ():337-349.

Chicago/Turabian Style

Thiago Schons; Carolina R. Xavier; Alexandre G. Evsukoff; Nelson F. F. Ebecken; Vinícius Da F. Vieira; Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Ana Maria A.C. Rocha; Carmelo M. Torre; David Taniar; Bernady O. Apduhan; Elena Stankova; Shangguang Wang. 2016. "Analysis Spreading Patterns Generated by Model." Computer Vision 9790, no. : 337-349.

Conference paper
Published: 01 June 2016 in 2016 11th Iberian Conference on Information Systems and Technologies (CISTI)
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The development of Social Applications (AS), that work with bio-sensors (GPS, accelerometers, gyroscopes, heart monitors, smart wristbands and smart watches) and which allow increased sharing of relevant information in social networks, is growing with the popularity of social networks combined to use AS mobile devices. Thus, it can define a User's Behavioral Pattern (PCU) with a particular focus of study. Therefore, this paper presents the work in progress of a doctoral dissertation that will study the time evolution of the use of AS in the publications of Facebook users' profiles. The case study is related to publications data mining of AS for physical activities (Fitness) to correlate healthy habits and physical activity, in order to predict the user healthy behavior and hence an improvement in their quality life. To do this, we are developing a data extraction tool throught an AS to Facebook, and its attractive point is the generation of competitive rankings customized by users and that can be published to your Facebook profile. Given the human competitive nature, it is expected a good spread of use of this AS, which will allow data mining to define the PCU healthy habits, where this PCU can be used to entice users to have a better quality of life and in this sense, decrease physical inactivity and risk for diseases associated with inactivity.

ACS Style

Fabio Paschoal; Nelson Francisco Favilla Ebecken; Gabriel Vinicius Silva Ribeiro; Leandro Moniz De Aragão Daquer; Renato Campos Mauro; Eduardo Soares Ogasawara. Healthy behavior with social apps: Proposal for evolution study of the use of fitness social apps on Facebook. 2016 11th Iberian Conference on Information Systems and Technologies (CISTI) 2016, 1 -6.

AMA Style

Fabio Paschoal, Nelson Francisco Favilla Ebecken, Gabriel Vinicius Silva Ribeiro, Leandro Moniz De Aragão Daquer, Renato Campos Mauro, Eduardo Soares Ogasawara. Healthy behavior with social apps: Proposal for evolution study of the use of fitness social apps on Facebook. 2016 11th Iberian Conference on Information Systems and Technologies (CISTI). 2016; ():1-6.

Chicago/Turabian Style

Fabio Paschoal; Nelson Francisco Favilla Ebecken; Gabriel Vinicius Silva Ribeiro; Leandro Moniz De Aragão Daquer; Renato Campos Mauro; Eduardo Soares Ogasawara. 2016. "Healthy behavior with social apps: Proposal for evolution study of the use of fitness social apps on Facebook." 2016 11th Iberian Conference on Information Systems and Technologies (CISTI) , no. : 1-6.

Journal article
Published: 12 May 2016 in Journal of Marine Science and Technology
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ACS Style

G. C. Pereira; M. M. F. Oliveira; L. P. Andrade; R. P Espíndola; K. G. Van Hecke; N. F. F. Ebecken. SiMoCo: the viability of a prototype platform for a coastal monitoring system: a case study. Journal of Marine Science and Technology 2016, 21, 651 -662.

AMA Style

G. C. Pereira, M. M. F. Oliveira, L. P. Andrade, R. P Espíndola, K. G. Van Hecke, N. F. F. Ebecken. SiMoCo: the viability of a prototype platform for a coastal monitoring system: a case study. Journal of Marine Science and Technology. 2016; 21 (4):651-662.

Chicago/Turabian Style

G. C. Pereira; M. M. F. Oliveira; L. P. Andrade; R. P Espíndola; K. G. Van Hecke; N. F. F. Ebecken. 2016. "SiMoCo: the viability of a prototype platform for a coastal monitoring system: a case study." Journal of Marine Science and Technology 21, no. 4: 651-662.

Journal article
Published: 01 January 2016 in Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería
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G.J. Simões; N.F.F. Ebecken. Algoritmo genético e enxame de partículas para a otimização de suportes laterais de fornos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2016, 32, 7 -12.

AMA Style

G.J. Simões, N.F.F. Ebecken. Algoritmo genético e enxame de partículas para a otimização de suportes laterais de fornos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 2016; 32 (1):7-12.

Chicago/Turabian Style

G.J. Simões; N.F.F. Ebecken. 2016. "Algoritmo genético e enxame de partículas para a otimização de suportes laterais de fornos." Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 32, no. 1: 7-12.

Journal article
Published: 01 January 2015 in Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería
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A.A. Motta; N.F.F. Ebecken. Uma simulação eficiente de estruturas sob carregamentos impulsivos e uma apliação expedita. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2015, 31, 20 -26.

AMA Style

A.A. Motta, N.F.F. Ebecken. Uma simulação eficiente de estruturas sob carregamentos impulsivos e uma apliação expedita. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 2015; 31 (1):20-26.

Chicago/Turabian Style

A.A. Motta; N.F.F. Ebecken. 2015. "Uma simulação eficiente de estruturas sob carregamentos impulsivos e uma apliação expedita." Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 31, no. 1: 20-26.

Book chapter
Published: 01 January 2015 in Advances in Intelligent Systems and Computing
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Upon an overall human mobility behavior within the city of Rio de Janeiro, this paper describes a methodology to predict commuting trips based on the mobile phone data. This study is based on the mobile phone data provided by one of the largest mobile carriers in Brazil. Mobile phone data comprises a reasonable variety of information about subscribers’ usage, including time and location of call activities throughout urban areas. This information was used to build subscribers’ trajectories, describing then the most relevant characteristics of commuting over time. An Origin-Destination (O-D) matrix was built to support the estimation for the number of commuting trips. Traditional approaches inherited from transportation systems, such as gravity and radiation models – commonly employed to predict the number of trips between locations(regularly upon large geographic scales) – are compared to statistical and data mining techniques such as linear regression, decision tree and artificial neural network. A comparison of these models shows that data mining models may perform slightly better than the traditional approaches from transportation systems when historical information are available. In addition to that, data mining models may be more stable for great variances in terms of the number of trips between locations and upon different geographic scales. Gravity and radiation models work very well based on large geographic scales and they hold a great advantage, they are much easier to be implemented. On the other hand, data mining models offer more flexibility in incorporating additional attributes about locations – such as number of job positions, available entertainments, schools and universities posts, among others –and historical information about the trips over time.

ACS Style

Carlos A. R. Pinheiro; Véronique Van Vlasselaer; Bart Baesens; Alexandre G. Evsukoff; Moacyr A. H. B. Silva; Nelson F. F. Ebecken. A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data. Advances in Intelligent Systems and Computing 2015, 35 -44.

AMA Style

Carlos A. R. Pinheiro, Véronique Van Vlasselaer, Bart Baesens, Alexandre G. Evsukoff, Moacyr A. H. B. Silva, Nelson F. F. Ebecken. A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data. Advances in Intelligent Systems and Computing. 2015; ():35-44.

Chicago/Turabian Style

Carlos A. R. Pinheiro; Véronique Van Vlasselaer; Bart Baesens; Alexandre G. Evsukoff; Moacyr A. H. B. Silva; Nelson F. F. Ebecken. 2015. "A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data." Advances in Intelligent Systems and Computing , no. : 35-44.

Book chapter
Published: 01 January 2015 in Econometrics for Financial Applications
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Currently, mobile phone calling is one of most widely used communication mode. The records of calls among users can show much about human communication pattern and this pattern can help us to infer about interpersonal relationships. In this work we use CDR (call details record) data for modelling the whole network and choose random nodes for a deep study of their ego networks. In each ego networks we study and discuss the reciprocity of the weight of connections and the correlation between time spend per relationship, number of calls per relationship and their respective reciprocity index.

ACS Style

Carolina Ribeiro Xavier; Vinicius Da Fonseca Vieira; Nelson Francisco Favilla Ebecken; Alexandre Gonc̨alves Evsukoff. Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks. Econometrics for Financial Applications 2015, 597, 201 -208.

AMA Style

Carolina Ribeiro Xavier, Vinicius Da Fonseca Vieira, Nelson Francisco Favilla Ebecken, Alexandre Gonc̨alves Evsukoff. Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks. Econometrics for Financial Applications. 2015; 597 ():201-208.

Chicago/Turabian Style

Carolina Ribeiro Xavier; Vinicius Da Fonseca Vieira; Nelson Francisco Favilla Ebecken; Alexandre Gonc̨alves Evsukoff. 2015. "Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks." Econometrics for Financial Applications 597, no. : 201-208.