• Research

    About Researches

    The Master's and Doctorate in Applied Mathematics and Data Science have multiple lines of academic, scientific and technological research, involving topics such as epidemiology, stochastic analysis, data science and statistics

Research Line

Control and Optimization is the area of Applied Mathematics that joins Optimal Control and Optimization. Optimal Control Theory studies optimization problems whose state variables are subject to differential equations, ordinary or partial, and whose dynamics depend on an independent variable called control. Optimization consists of searching for a better element, with respect to some criterion, in some set of available alternatives, while Stochastic Optimization is focused on the study of optimization problems involving uncertainties modeled by a stochastic process.

At FGV EMAp, we work on obtaining optimality conditions and on the study of convergence of algorithms for Optimal Control problems, and on its applications to models and problems originating in Biology. In the Optimization area, our research is focused on the development of algorithms for non-linear optimization problems, with emphasis on convex problems, non-smooth problems, variational inequalities and complementary eigenvalues problems. In Stochastic Optimization we work on the development and analysis of models and algorithms to solve multi-stage stochastic optimization problems and we study applications in finance, production management and logistics.

PROFESSORS

SELECTED PUBLICATIONS

  1. Vincent Guigues, Inexact Cuts in Stochastic Dual Dynamic Programming. SIAM Journal on Optimization, 2020;

  2. Vincent Guigues, Anatoli Juditsky & Arkadi Nemirovski. Non-asymptotic confidence bounds for the optimal value of a stochastic program. Optimization Methods and Software, 2017;

  3. M. Soledad Aronna, Monica Motta, Franco Rampazzo. A Higher-Order Maximum Principle for Impulsive Optimal Control Problems. SIAM Journal on Control and Optimization, 2020;

  4. M. Soledad Aronna, Joseph Frédéric Bonnans, Axel Kröner. Optimal Control of PDEs in a Complex Space Setting: Application to the Schrödinger Equation. SIAM Journal on Control and Optimization, 2019;

  5. Alfredo N. Iusem, Alejandro Jofré, Roberto I. Oliveira, and Philip Thompson. Variance-Based Extragradient Methods with Line Search for Stochastic Variational Inequalities. SIAM Journal on Control and Optimization, 2019;

  6. Alfredo N. Iusem, Alejandro Jofré, Philip Thompson. Incremental Constraint Projection Methods for Monotone Stochastic Variational Inequalities. Mathematics of Operations Research, 2018.

Finance and risk encompasses the systematic and mathematical study of various objects and situations in Finance, Economics and Actuarial Science. The main applied techniques are stochastic processes, control and optimization, numerical analysis, functional analysis and statistics. The area of ​​Quantitative Finance was born in 1900 with the dissertation Theory of Speculation by the French mathematician Louis Bachelier. Despite its importance in the development of the mathematical formalism of the Brownian movement, one of the most important objects of the 20th century in Applied Mathematics, it was only after a second birth of the area, with the publication of the article by Fisher Black and Myron Scholes in 1973, that the Quantitative Finance area gained importance.

At FGV EMAp, we are mainly interested in optimization and optimal stochastic control in algorithmic strategies, risk and rare event analysis, path dependency and modeling of volatility and dependency structures

PROFESSORS

SELECTED PUBLICATIONS

  1. Fouque, Jean-Pierre, Sebastian Jaimungal, and Yuri F. Saporito. Optimal trading with signals and stochastic price impact. SIAM Journal on Financial Mathematics, 2022;

  2. Saporito, Yuri F., and Zhaoyu Zhang. Path-dependent deep galerkin method: A neural network approach to solve path-dependent partial differential equations. SIAM Journal on Financial Mathematics, 2021;

  3. Koike, Takaaki, Yuri Saporito, and Rodrigo Targino. Avoiding zero probability events when computing Value at Risk contributions. Insurance: Mathematics and Economics, 2022;

  4. Targino, Rodrigo S., Gareth W. Peters, and Pavel V. Shevchenko. Sequential Monte Carlo Samplers for capital allocation under copula-dependent risk models. Insurance: Mathematics and Economics, 2015.

This line of research began worldwide with the development of Probability and the formal construction of the Brownian Movement in the early 20th century. This is probably one of the areas of mathematics with the most applications in the real world. From a theoretical point of view, we are interested in the study of Stochastic Differential Equations and the incorporation of path-dependence in several aspects of the theory.

In addition, another aspect of this line is the numerical resolution of differential equations, in particular random (RDEs) and stochastic (EDEs). The theory of EDEs and RDEs are themes, at the crossroads of differential equations and stochastic processes, with a wide variety of applications in the modeling of phenomena and practical situations in which the quantities of interest are subject to random disturbances. Since obtaining solutions to these equations is rarely possible, much attention is paid to the construction and study of approximation methods, with good qualitative properties, for their integration and simulation.

PROFESSORS

Recent Publications

Data science is a field at the intersection of computer science and applied mathematics aiming at leveraging data to aid decision-making, model complex phenomena, and automate processes. To achieve those goals, data science comprises a vast collection of methods to extract and exploit data patterns (Machine Learning, Deep Learning), and to visually analyze data (data visualization). Since applying these methods often implies handling massive amounts of data, high-performance computing and efficient database systems are also instrumental in data science.

At FGV EMAp, we focus on fundamental research in Machine Learning, Deep Learning, and Data Visualization. Our methodologies often aim to solve significant applied problems in different areas including computational biology, medicine, pharmacology, criminology, law, remote sensing, agriculture, climate, sustainability, and software engineering.

PROFESSORS

SELECTED PUBLICATIONS

  1. Mateo Torres, Haixuan Yang, Alfonso E. Romero & Alberto Paccanaro. Protein function prediction for newly sequenced organisms. Nature Machine Intelligence, 2021;

  2. Diego Galeano, Shantao Li, Mark Gerstein & Alberto Paccanaro. Predicting the frequencies of drug side effects. Nature Communications, 2020;

  3. Rosa, L. E. C. L., & Oliveira, D. A.. Learning from Label Proportions with Prototypical Contrastive Clustering. AAAI Conference on Artificial Intelligence (AAAI), 2022;

  4. Borges Oliveira, D.A., Szwarcman, D., da Silva Ferreira, R. et al. A cyclic learning approach for improving pre-stack seismic processing. Nature Scientific Reports, 2021;

  5. Amauri Holanda, Diego Mesquita, Vikas Garg, Samuel Kaski. Provably expressive temporal graph networks. Advances in neural information processing systems (NeurIPS), 2022;

  6. Daniel Ramos, Diego Mesquita, Luigi Acerbi, Samuel Kaski. Parallel MCMC without embarrassing failures. Artificial intelligence and statistics (AISTATS), 2022;

  7. Lucas Emanuel Resck, Jean Ponciano, Luis Gustavo Nonato, Jorge Poco. LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. IEEE Transactions on Visualization and Computer Graphics, 2022;

  8. Germain García-Zanabria, Marcos Medeiros Raimundo, Jorge Poco, Marcelo Batista Nery, Claudio T. Silva, Sergio Adorno, Luis Gustavo Nonato. CriPAV: Street-Level Crime Patterns Analysis and Visualization. IEEE Transactions on Visualization and Computer Graphics, 2021.

Mathematical epidemiology is an applied mathematics subject with more than a century of tradition, which incorporates ideas and methods from different branches of mathematics in the representation and analysis of its objects of study.    At EMAp, the Mathematical Epidemiology group studies how information on how communicable diseases can be treated from a quantitative point of view, differently from the classic statistical techniques well known in the medical field. In addition, the projects require a basic understanding of biological assumptions and the mathematical models that underlie infection models and the tools available today to extract biological information from these models.

PROFESSORS

SELECTED PUBLICATIONS

  1. Lara E. Coelho, Paula M. Luz, Débora C. Pires, Emilia M. Jalil, Hugo Perazzo, Thiago S. Torres, Sandra W. Cardoso, Eduardo M. Peixoto, Sandro Nazer, Eduardo Massad, Mariângela F. Silveira, Fernando C. Barros, Ana T.R. Vasconcelos, Carlos A.M. Costa, Rodrigo T. Amancio, Daniel A.M. Villela, Tiago Pereira, Guilherme T. Goedert, Cleber V.B.D. Santos, Nadia C.P. Rodrigues, Beatriz Grinsztejn, Valdilea G. Veloso, Claudio J. Struchiner. Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey. The Lancet Regional Health - Americas, 2022;

  2. Zachary J. Madewell, Natalie E. Dean, Jesse A. Berlin, Paul M. Coplan, Kourtney J. Davis, Claudio J. Struchiner, M. Elizabeth Halloran. Challenges of evaluating and modelling vaccination in emerging infectious diseases. Epidemics, 2021;

  3. M. S. Aronna, R. Guglielmi, L.M. Moschen. A model for COVID-19 with isolation, quarantine and testing as control measures. Epidemics, 2021;

  4. M. S. Aronna, R. Guglielmi, L.M. Moschen. Estimate of the rate of unreported COVID-19 cases during the first outbreak in Rio de Janeiro. Epidemics, 2022;

  5. Leonardo S. Bastos, Theodoros Economou, Marcelo F. C. Gomes, Daniel A. M. Villela, Flavio C. Coelho, Oswaldo G. Cruz, Oliver Stoner, Trevor Bailey, Claudia T.Codeço. A modelling approach for correcting reporting delays in disease surveillance data. Statistics in Medicine, 2019;

  6. Aurélio A. Araújo, Cláudia Codeço, Dayvison F. S. Freitas, Priscila M. de Macedo, Sandro A. Pereira, Isabella D. F. Gremião, Flávio Codeço Coelho. Mathematical model of the dynamics of transmission and control of sporotrichosis in domestic cats. PLOS ONE, 2023;

  7. Sabrina Simon, Marcos Amaku, Eduardo Massad. Effects of migration and vaccination on the spread and control of yellow fever in Latin American communities: a mathematical modelling study. The Lancet Planetary Health, 2022;

  8. Vinicius V.L. Albani, Jennifer Loria, Eduardo Massad, Jorge P. Zubelli. The impact of COVID-19 vaccination delay: A data-driven modeling analysis for Chicago and New York City. Vaccine, 2021;

  9. Michael D. Karcher, Luiz Max Carvalho, Marc A. Suchard, Gytis Dudas, Vladimir N. Minin. Estimating effective population size changes from preferentially sampled genetic sequences. PLOS Computational Biology, 2020;

  10. Gytis Dudas, Luiz Max Carvalho, Andrew Rambaut, Trevor Bedford. MERS-CoV spillover at the camel-human interface. eLife, 2018.

Statistics is the science of uncertainty, and has been playing and increasingly fundamental role in modern society. In Statistics, we use Mathematics and Computing to aid decision making by correctly quantifying uncertainty about scientific hypotheses. In general, this line of research is divided into theoretical, methodological and applied aspects involving data analysis.

At FGV EMAp, we seek to develop research in the following areas of Statistics: applications in Finance, Actuarial Sciences, Medicine and Epidemiology; Monte Carlo simulation for Bayesian inference; Spatio-temporal and network models.

PROFESSORS

SELECTED PUBLICATIONS

  1. Genari J, Goedert GT, Lira SHA, Oliveira K, Barbosa A, et al. Quantifying protocols for safe school activities. PLOS ONE, 2022;

  2. Silva, P. J. S., Sagastizábal, C., Nonato, L. G., Struchiner, C. J., & Pereira, T. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. Proceedings of the National Academy of Sciences, 2021;

  3. Carvalho, Luiz & Ibrahim, Joseph. On the normalized power prior. Statistics in Medicine, 2021;

  4. Luiz M. Carvalho. Daniel A. M. Villela. Flavio C. Coelho. Leonardo S. Bastos. Bayesian Inference for the Weights in Logarithmic Pooling. Bayesian Anal., 2023;

  5. Peters, Gareth & Targino, Rodrigo & Wüthrich, Mario. Full Bayesian analysis of claims reserving uncertainty. Insurance: Mathematics and Economics, 2017;

  6. Cyril Bénézet, Emmanuel Gobet, Rodrigo Targino. Transform MCMC schemes for sampling intractable factor copula models. Methodology and Computing in Applied Probability (in press). 2021.

  • Heterogeneous data integration methods for patient similarity networks. Briefings in Bioinformatics, v. 1, p. 1, 2022. Qualis: A1. Em colaboração com Gliozzo, Jessica; Mesiti, Marco; Notaro, Marco; Petrini, Alessandro; Patak, Alex; Puertas-Gallardo, Antonio; Valentini, Giorgio; Casiraghi, Elena.
  • Unlike Chloroquine, Mefloquine Inhibits SARS-CoV-2 Infection in Physiologically Relevant. Cells. Viruses-Basel, v. 14, p. 374, 2022. Qualis: S/C. Em colaboração com Sacramento, Carolina Q.; Fintelman-Rodrigues, Natalia; Dias, Suelen S. G.; Temerozo, Jairo R.; Da Silva, Aline de Paula D.; Da Silva, Carine S.; Blanco, Camilla; Ferreira, André C.; Mattos, Mayara; Soares, Vinicius C.; Pereira-Dutra, Filipe; Miranda, Milene Dias; Barreto-Vieira, Debora F.; Da Silva, Marcos Alexandre N.; Santos, Suzana S.; Torres, Mateo; Chaves, Otávio Augusto; Rajoli, Rajith K. R.; Owen, Andrew; Bou-Habib, Dumith-Chequer; Bozza, Patricia T.; Souza, Thiago Moreno L.
  • Machine Learning and Network Medicine approaches for Drug Repositioning for Covid-19. Cell Patterns, 2022. Qualis S/C. Em colaboração com Santos, S.; Torres, M.; Galeano, D.; Sanchez, M.; Cernuzzi, L.;
  • Machine Learning Prediction of Side effects for Drugs in Clinical Trials. Cell Reports Methods  2, (12), 100358, 2022. Qualis S/C. Em colaboração com Galeano, Diego; 
  • Modelação Da Valência Verbal Numa Gramática Computacional do Português no Formalismo HPSG. Domínios de Lingu@Gem, v.16, nº4, 2022. Qualis O/B2. Em colaboração com Alencar, Leonel Figueiredo de.
  • Proposal in Creating a Semantic Repository for Digital 3D Replicas: The Case of Modernist Sculptures in Public Spaces of Rio De Janeiro. Knowledge Organization, v. 49, p. 151-171, 2022. Qualis: B1. Em colaboração com Lemos, Daniela Lucas da Silva; Martins, Dalton LOPES; Martins, Luciana Conrado; Do Carmo, Daniele.
  • Algebraic curves and foliations. Bulletin of the London Mathematical Society, v. *55, p. *410-*427, 2022. Qualis: A2. Em colaboração com Movasati, Hossein; Hertling, Claus.
  • Convite para conhecer o Checklist para Relato Teórico em Estudos Epidemiológicos (CRT-EE). Physis. Revista de Saúde Coletiva (online), v. 32, p. 1, 2022. Qualis: S/C. Em colaboração com Souza Filho, Breno Augusto Bormann de; Tritany, Érika Fernandes; Arana, Gustavo Alonso Cabrera.
  • Convite para conhecer o Checklist para Relato Teórico em Estudos Epidemiológicos (CRT-EE). Physis. Revista de Saúde Coletiva (online), v. 32, p. e320402, 2022. Qualis: S/C. Em colaboração com Souza Filho, B. A. B.; Tritany, E. F.; Arana, G. A. C.
  • Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey. The Lancet Regional Health - Americas, v. 15, p. 100338, 2022. Qualis: S/C. Em colaboração com Coelho, Lara E.; Luz, Paula M. ; Pires, Débora C.; Jalil, Emilia M.; Perazzo, Hugo; Torres,  Thiago  S.; Cardoso, Sandra W.; Peixoto, Eduardo M.; Nazer Sandro; Massad, Eduardo ; Silveira, Mariangela F.; Barros, Fernando C.; Vasconcelos, Ana T.R. ; Costa, Carlos A.M. ; Amancio, Rodrigo T.; Villela, Daniel A.M.; Pereira, Tiago ; Goedert, Guilherme T.; Santos, Cleber V.B.D. ; Rodrigues, Nadia C.P. ; Grinsztejn, Beatriz ; Veloso, Valdilea G. 
  • Robust evidence of Bolsa Família Programme's benefits. Lancet HIV, v. 9, p. e669-e670, 2022. Qualis: O/A1. Em colaboração com Luz, Paula M.
  • Quantifying protocols for safe school activities. PLoS One, v. 17, p. e0273425, 2022. Qualis: O/A2. Em colaboração com Genari, Juliano; Goedert, Guilherme T.; Lira, Sergio H. A.; Oliveira, Krerley; Barbosa, Adriano; Lima, Allysson; Silva, José Augusto; Oliveira, Hugo; Maciel, Mauricio; Ledoino, Ismael; Resende, Lucas; Dos Santos, Edmilson Roque; Marchesin, Dan; Pereira, Tiago.
  • Relato teórico: reflexões e considerações para autores, revisores e editores. Revista de Saúde Pública (online), v. 56, p. 30, 2022. Qualis: O/A2. Em colaboração com Souza Filho, Breno Augusto Bormann de; Tritany, Érika Fernandes.
  • Relato Teórico: Reflexões e Considerações para Autores, Revisores e Editores. Revista de Saúde Pública (online), v. 56, p. 1-7, 2022. Qualis: O/A2. Em colaboração com Souza Filho, B. A. B.; Tritany, E. F.
  • Bayesian Multilateration. IEEE SIGNAL PROCESSING LETTERS, v. 29, p. 962-966, 2022. Qualis: A1. Em colaboração com Alencar, Alisson S. C.; Mattos, Cesar L. C.; Gomes, Joao P. P.
  • Reaching the malaria elimination goal in Brazil: a spatial analysis and time-series study. Infectious Diseases of Poverty, v. 11, p. 39, 2022. Qualis: O/A2. Em colaboração com Laporta, Gabriel Zorello; Grillet, Maria Eugenia; Rodovalho, Sheila Rodrigues; Sallum, Maria Anice M. 
  • Correction to: Some Problems with the Dirac Delta Function: Divergent Series in Physics. Brazilian Journal of Physics, v. 52, p. 76, 2022. Qualis: O/B1. Em colaboração com Amaku, Marcos ; Coutinho, Francisco A. B.; Éboli, Oscar J. P.
  • Vector control strategies in Brazil: a qualitative investigation into community knowledge, attitudes and perceptions following the 2015-2016 Zika virus epidemic. BMJ Open, v. 12, p. e050991, 2022. Qualis: O/A2. Em colaboração com Bancroft, Dani; Power, Grace M; Jones, Robert T.; Iriat, Jorge Bernstein; Preet, Raman; Kinsman, John; Logan, James G. 
  • Epidemiology and costs of dengue in Brazil: a systematic literature review. International Journal of Infectious Diseases, v. 122, p. 521-528, 2022. Qualis: O/A3. Em colaboração com Junior, João Bosco S.; Lobao-Neto, Abner; Kastner, Randee; Oliver, Louisa; Gallagher, Elaine.
  • Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey. The Lancet Regional Health - Americas, v. 15, p. 100338, 2022. Qualis: S/C. Em colaboração com Coelho, Lara E.; Luz, Paula M.; Pires, Debora C. ; Jalil, Emilia M. ; Perazzo, Hugo; Torres, Thiago S. ; Cardoso, Sandra W.; Peixoto, Eduardo M. ; Nazer, Sandro; Silveira, Mariangela F. ; Barros, Fernando C.; Vasconcelos, Ana T.R. ; Costa, Carlos A.M. ; Amancio, Rodrigo T.; Villela, Daniel A.M.; Pereira, Tiago; Goedert, Guilherme T. ; Santos, Cleber V.B.D.; Rodrigues, Nadia C.P.; Grinsztejn, Beatriz; Veloso, Valdilea G.; Struchiner, Claudio J.
  • On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil. BMC Public Health, v. 22, p. 1781, 2022. Qualis: O/A2. Em colaboração com Albani, Vinicius V. L.; Albani, Roseane A. S.; Bobko, Nara; Zubelli, Jorge P.
  • Nowcasting and forecasting COVID-19 waves: The recursive and stochasticnature of transmission. Royal Society OpenScience. Qualis: S/C. Em colaboração com Albani, V.V.L.; Albani, R. A. S.; Zubelli, J.P.;
  • Differences in Placental Histology between Zika Virus-infected Teenagers and OlderWomen International Journal of Gynecological Pathology. Qualis: O/B1. Em colaboração com Pinto, C.A.L.; Santos, G.R.; Consortium, Z.; Passos, S.D.; Prudente, R.C.S.;
  • Time to death and risk factors associated with mortality among COVID-19 cases in countries within the Who African region in the early stages of the COVID-19 pandemic. Epidemiology and Infection, v. 150, p. e73, 2022. Qualis: O/A1. Em colaboração com Impouma, Benido; Carr, Aice L. J.; Spina, Alexander; Mboussou, Franck; Ogundiran, Opeayo; Moussana, Fleury; Williams, George Sie; Wolfe, Caitlin M.; Farham, Bridget; Flahault, Antoine ; Codeço T., Claudia; Abbate, Jessica L.; Keiser, Olivia.
  • Bayesian Inference for the Weights in Logarithmic Pooling. Bayesian Analysis, v. -1, p. 1, 2022. Qualis: A1. Em colaboração com Carvalho, Luiz M.; Villela, Daniel A. M.; Bastos, Leonardo S.
  • An in-depth statistical analysis of the COVID-19 pandemics initial spread in the WHO African region. BMJ Global Health, v. 7, p. e007295, 2022. Qualis: O/A3. Em colaboração com James, Ananthu; Dalal, Jyoti; Kousi, Timokleia; Vivacqua, Daniela; Camara, Daniel C. P.; Dos Reis, Izabel Cristina; Botero Mesa, Sara; N., Wignston; Ansobi, Papy; Bianchi, Lucas M.; Lee, Theresa M.; Ogundiran, Opeayo; Stoll, Beat ; Chimbetete, Cleophas; Mboussou, Franck; Impouma, Benido; Hofer, Cristina B.; Keiser, Olivia; Abbate, Jessica LEE.
  • Faster indicators of chikungunya incidence using Google searches. PLoS Neglected Tropical Diseases, v. 16, p. e0010441, 2022. Qualis: B1. Em colaboração com Miller, Sam; Preis, Tobias; Mizzi, Giovanni; Bastos, Leonardo Soares; Gomes, Marcelo F. Da Costa; Codeço, Claudia Torres; Moat, Helen Susannah.
  • Fast expansion of dengue in Brazil. The Lancet Regional Health - Americas, v. 12, p. 100274, 2022. Qualis: S/C. Em colaboração com Codeço, Claudia T.; Oliveira, Sara S.; Ferreira, Danielle A.C.; Riback, Thais I.S.; Bastos, Leonardo S.; Lana, Raquel M.; Almeida, Iasmim F.; Godinho, Vinicius B.; Cruz, Oswaldo G.
  • Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response. BMC Public Health, v. 22, p. 1, 2022. Qualis: O/A1. Em colaboração com Botero-Mesa, Sara; Nwosu, Kenechukwu Wicht, Bertil; Venkatasubramanian, Akarsh; Wagner, Olena; Valera, Camille; Nguimbis, Benedict; Camara, Daniel; Reis, Izabel; Mahdiani, Morteza; Onsimbie, Papy Ansobi; Diallo, Papa Amadou Niang; Jacques, Léa; Muloliwa, Artur Manuel; Bougma, Moussa; Mukavhi, Leckson; Kaneria, Adit; Peruvemba, Ram; Gupta, Ajay; Triulzi, Isotta; James, Ananthu; Carrara, Verena; Ngambi, Wingston, et al.;
  • COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub. Scientific Data, v. 9, p. 707, 2022. Qualis: O/B1. Em colaboração com Araujo, Eduardo Correa; Keiser, Olivia.
  • Global convergence of Riemannian line search methods with a Zhang-Hager-type condition. Numerical Algorithms 91, 1183-1203; Qualis A2
  • An extended delayed weighted gradient algorithm for solving strongly convex optimization problems;Journal of Computational and Applied Mathematics; Volume 416, 15 December 2022; Qualis A1. Em colaboração com Andreani, Roberto; Raydan, Marcos; Secchin, Leonardo;
  • An explicit numerical scheme for the computer simulation of the stochastic transport equation. Communications in Nonlinear Science and Numerical Simulation, v. 110, p. 106378, 2022. Qualis A1. Em colaboração com Oliveira, C.
  • A simplified weak simulation method for the probabilistic response analysis of nonlinear random vibration problems. Applied Numerical Mathematics, v. x, p. 01-25, 2022. Qualis A2.
  • JamVis: exploration and visualization of traffic jams. European Physical Journal-Special Topics, v. 1, p. 1, 2022. Qualis O/A2. Em colaboração com Rodriguez, Elio; Ferreira, Nivan.
  • Exploring scientific literature by textual and image content using Drift. Computers & Graphics-UK; v. 103, p. 140-152, 2022. Qualis: A2. Em colaboração com Pocco, Ximena; Da Silva, Tiago; Nonato, Luis Gustavo; Gomez-Nieto, Erick.
  • How Do Curricular Design Changes Impact Computer Science Programs: A Case Study at San Pablo Catholic University in Peru. Education Sciences, v. 12, p. 242, 2022. Qualis: A2. Em colaboraçao com Gutierrez-Pachas, Daniel A.; Garcia-Zanabria, Germain; Cuadros-Vargas, Alex J.; Camara-Chavez, Guillermo; Gomez-Nieto Erick.
  • SDA-Vis: A Visualization System for Student Dropout Analysis Based on Counterfactual Exploration. Applied Sciences-Basel, v. 12, p. 5785, 2022. Qualis: O/B1. Em colaboração com Garcia-Zanabria, Germain; Gutierrez-Pachas, Daniel A.; Camara-Chavez, Guillermo; Gomez-Nieto, Erick.
  • LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. IEEE Transactions on visualization and Computer Graphics, v. 1, p. 1-1, 2022. Qualis: A1. Em colaboração com Resck, Lucas Emanuel; Ponciano, Jean R.; Nonato, Luis Gustavo.
  • LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. Ieee Transactions on Visualization and Computer Graphics, v. 1, p. 1-11, 2022. Qualis: A1. Em colaboração com Linhares, Claudio D. G.; Ponciano, Jean R.; Pedro, Diogenes S.; Rocha, Luis E. C.; Traina, Agma J. M. 
  • ClinicalPath: A Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. Ieee Transactions on Visualization and Computer Graphics, v. 1, p. 1-1, 2022. Qualis: A1. Em colaboração com Linhares, Claudio D. G.; Lima, Daniel M.; Ponciano, Jean R.; Olivatto, Mauro M.; Gutierrez Marco A.; Traina, Caetano; Traina, Agma; Juci Machado.
  • Mining Pareto-Optimal Counterfactual Antecedents with a Branch-and-Bound Model-Agnostic Algorithm. Data Mining and Knowledge Discovery, p. 1-33, 2022. Qualis A1. Em colaboração com Raimundo, M. M.; Nonato, L. G.
  • Bayesian Inference for the Weights in Logarithmic Pooling. Bayesian Analysis, v. -1, p. 1-30, 2022. Qualis: A2. Em colaboração com Carvalho, Luiz M.; Villela, Daniel A. M.; Coelho, Flavio C.; Bastos, Leonardo S.
  • Estimate of the rate of unreported COVID-19 cases during the first outbreak in Rio de Janeiro. Infectious Disease Modelling, v. 1, p. 1, 2022. Qualis: S/C. Em colaboração com Guglielmi, R.; Moschen, L.M.
  • Avoiding zero probability events when computing Value at Risk contributions. Insurance Mathematics & Economics, v. 106, p. 173-192, 2022. Qualis: O/A1. Em colaboração com Koike, Takaaki; Saporito, Yuri.
  • Transform MCMC schemes for sampling intractable factor copula models. Methodology and Computing in Applied Probability, 2022. Qualis: B1. Em colaboração com Benezet, C.; Gobet, E.
  • Circumcentering approximate reflections for solving the convex feasibility problem. Fixed Point Theory and Algorithms for Sciences and Engineering, v. 2022, p. 1-20, 2022. Qualis: S/C. Em colaboração com Araujo, G. H. M.; Arefidamghani, Reza; Bello-Cruz, Yunier; Santos, L.-R.; Iusem, A.
  • Duality and sensitivity analysis of multistage linear stochastic programs, European Journal of Operational Research. Qualis: A1. Em colaboração com Cheng, Yi; Shapiro, Alexander;
  • Algorithms and a Library for the exact computation of the cumulative distribution function of the euclidean distance between a point and a random variable uniformly distributed in disks, balls, or polygones and application to probabilistic seismic hazard analysis; International Journal of Computational Geometry & Applications. Qualis: B1. On the strong concavity of the dual function of an optimization problem. Journal of convex analysis, v. 29, p. 247-260, 2022. Qualis: B1
  • Vanishing Contagion Spreads. Management Science, v. 68, p. 740-772, 2022. Qualis: O/A1. Em colaboração com Duarte, Diogo; Prieto, Rodolfo; Rindisbacher, Marcel.
  • KrigHedge: Gaussian Process Surrogates for Delta Hedging. Applied Mathematical Finance (Print), v. 28, p. 330-360, 2022. Qualis: S/C. Em colaboração com Ludkovski, Mike.
  • Extensions of the deep Galerkin method. Applied Mathematics and Computation, v. 430, p. 127287, 2022. Qualis: A1. Em colaboração com Al-Aradi, Ali; Correia Adolfo; Jardim, Gabriel ; De Freitas Naiff,  Danilo.
  • Optimal Trading with Signals and Stochastic Price Impact. SIAM Journal on Financial Mathematics, v. 13, p. 944-968, 2022. Qualis: S/C. Em colaboração com Fouque, Jean-Pierre; Jaimungal, Sebastian.
  • Avoiding zero probability events when computing Value at Risk contributions. Insurance Mathematics & Economics; v. 106, p. 173-192, 2022. Qualis: O/A1. Em colaboração com Koike, Takaaki; Targino, Rodrigo.
  • On stochastic Kaczmarz type methods for solving large scale systems of ill-posed equations. Inverse Problems, v. 38, p. 025003, 2022. Qualis: A1. Em colaboração com Rabelo, Joel; Leitao, Antonio.
  • Forecasting the term structure of commodities future prices using machine learning. Digital Finance, 2022. Qualis: S/C. Em colaboração com Figueiredo, Mario. 
  • Capital Structure and the Yield Curve. Review Of Corporate Finance Studies, 2022. Qualis: S/C. Em colaboração com Duarte, Diogo; Öztekin, Özde.
  • SANTOS, S. S. ; TORRES, MATEO ; GALEANO, DIEGO ; SANCHEZ, M. M. ; CERNUZZI, LUCA ; ALBERTO PACCANARO . Machine Learning and Network Medicine approaches for Drug Repositioning for COVID-19. CELL, v. 3, p. 100396, 2021.
  • TORRES, MATEO ; YANG, HAIXUAN ; ROMERO, ALFONSO E. ; PACCANARO, ALBERTO . Protein function prediction for newly sequenced organisms. Nature Machine Intelligence, v. 7, p. 2522, 2021.
  • MCDONALD, J. TYSON ENGUITA, FRANCISCO JAVIER TAYLOR, DEANNE GRIFFIN, ROBERT J. PRIEBE, WALDEMAR EMMETT, MARK R. SAJADI, MOHAMMAD M. HARRIS, ANTHONY D. CLEMENT, JEAN DYBAS, JOSEPH M. AYKIN-BURNS, NUKHET GUARNIERI, JOSEPH W. SINGH, LARRY N. GRABHAM, PETER BAYLIN, STEPHEN B. YOUSEY, ALIZA PEARSON, ANDREA N. CORRY, PETER M. SARAVIA-BUTLER, AMANDA AUNINS, THOMAS R. SHARMA, SADHANA NAGPAL, PRASHANT MEYDAN, CEM FOOX, JONATHAN MOZSARY, CHRISTOPHER , et al. ; Role of miR-2392 in Driving SARS-CoV-2 Infection. Cell Reports, v. 1, p. 109839, 2021.
  • Cauã Roca Antunes, Alexandre Rademake rand Mara AbeL; A faster and less aggressive algorithm for correcting conservativity violations in ontology alignments; Applied Ontology   
  • SOTO SÁNCHEZ, JOSÉ EZEQUIEL ; WEYRICH, TIM ; MEDEIROS E SÁ, ASLA ; DE FIGUEIREDO, LUIZ HENRIQUE . An integer representation for periodic tilings of the plane by regular polygons. COMPUTERS & GRAPHICS-UK, 2021.
  • Luz, Paula M. ; Struchiner, Claudio J. ; KIM, SUN-YOUNG ; MINAMISAVA, RUTH ; ANDRADE, ANA LUCIA S. ; SANDERSON, COLIN ; RUSSELL, LOUISE B. ; TOSCANO, CRISTIANA M. . Modeling the cost-effectiveness of maternal acellular pertussis immunization (aP) in different socioeconomic settings: A dynamic transmission model of pertussis in three Brazilian states. VACCINE, v. 39, p. 125-136, 2021.
  • AMAKU, MARCOS ; COVAS, DIMAS TADEU ; BEZERRA COUTINHO, FRANCISCO ANTONIO ; AZEVEDO NETO, RAYMUNDO SOARES ; STRUCHINER, CLAUDIO ; WILDER-SMITH, ANNELIES ; Massad, Eduardo . Modelling the test, trace and quarantine strategy to control the COVID-19 epidemic in the state of São Paulo, Brazil. Infectious Disease Modelling, v. 6, p. 46-55, 2021.
  • SILVA, PAULO J. S. ; SAGASTIZÁBAL, CLAUDIA ; NONATO, LUÍS GUSTAVO ; Struchiner, Claudio José ; PEREIRA, TIAGO . Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v. 118, p. e2104640118, 2021.
  • TORRES, THIAGO S. ; Luz, Paula M. ; COELHO, LARA E. ; JALIL, CRISTINA ; FALCO, GISELY G. ; SOUSA, LEONARDO P. ; JALIL, EMILIA ; BEZERRA, DANIEL R.B. ; CARDOSO, SANDRA W. ; HOAGLAND, BRENDA ; Struchiner, Claudio J. ; VELOSO, VALDILEA G. ; Grinsztejn, Beatriz . SARS-CoV-2 testing disparities across geographical regions from a large metropolitan area in Brazil: Results from a web-based survey among individuals interested in clinical trials for COVID-19 vaccines. Brazilian Journal of Infectious Diseases, v. 25, p. 101600, 2021.
  • HALLAL, PEDRO C ; VICTORA, CESAR G ; SILVEIRA, MARIÂNGELA F ; BARROS, ALUÍSIO J D ; MENEZES, ANA M B ; HORTA, BERNARDO L ; Struchiner, Cláudio J ; HARTWIG, FERNANDO P ; VICTORA, GABRIEL D ; PELLANDA, LÚCIA C ; BURATTINI, MARCELO N ; DELLAGOSTIN, ODIR A ; BARROS, FERNANDO C . The challenge of conducting epidemiological research in times of pandemic and denialism: 1-year anniversary of the EPICOVID-19 project in Brazil. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, v. 50, p. 1049-1052, 2021.
  • MACEDO, LAYLLA RIBEIRO ; STRUCHINER, CLAUDIO JOSE ; MACIEL, Ethel Leonor Noia . Contexto de elaboração do Plano de Imunização contra COVID-19 no Brasil. Ciência & Saúde Coletiva, v. 26, p. 2859-2862, 2021.
  • HALLAL, PEDRO C. ; SILVEIRA, MARIANGELA F. ; MENEZES, ANA M. B. ; HORTA, BERNARDO L. ; BARROS, ALUÍSIO J. D. ; PELLANDA, LUCIA C. ; VICTORA, GABRIEL D. ; DELLAGOSTIN, ODIR A. ; Struchiner, Claudio J. ; BURATTINI, MARCELO N. ; MESENBURG, MARILIA A. ; JACQUES, NADEGE ; VIDALETTI, LUÍS PAULO ; AMBROS, EMANUELE L. ; BERLEZI, EVELISE M. ; SCHIRMER, HELENA ; RENNER, JANE D. P. ; COLLARES, KAUE ; IKEDA, MARIA LETÍCIA R. ; ARDENGHI, THIAGO M. ; DE GASPERI, PATRICIA ; HARTWIG, FERNANDO P. ; BARROS, FERNANDO C. ; VICTORA, CESAR G. . Slow Spread of SARS-CoV-2 in Southern Brazil Over a 6-Month Period: Report on 8 Sequential Statewide Serological Surveys Including 35611 Participants. AMERICAN JOURNAL OF PUBLIC HEALTH, v. 111, p. e1-e9, 2021.
  • MENEZES, ANA M. B. ; VICTORA, CESAR G. ; HARTWIG, FERNANDO P. ; SILVEIRA, MARIÂNGELA F. ; HORTA, BERNARDO L. ; BARROS, ALUÍSIO J. D. ; MESENBURG, MARILIA A. ; WEHRMEISTER, FERNANDO C. ; PELLANDA, LÚCIA C. ; DELLAGOSTIN, ODIR A. ; Struchiner, Cláudio J. ; BURATTINI, MARCELO N. ; BARROS, FERNANDO C. ; HALLAL, PEDRO C. . High prevalence of symptoms among Brazilian subjects with antibodies against SARS-CoV-2. Scientific Reports, v. 11, p. 13279, 2021.
  • BARROS, FERNANDO C ; HARTWIG, FERNANDO P ; BARROS, ALUÍSIO J D ; MENEZES, ANA M B ; HORTA, BERNARDO L ; Struchiner, Cláudio J ; VIDALETTI, LUIS PAULO ; SILVEIRA, MARIANGELA F ; MESENBURG, MARILIA A ; DELAGOSTIN, ODIR A ; HALLAL, PEDRO C ; VICTORA, CESAR G . COVID-19 and social distancing among children and adolescents in Brazil. REVISTA DE SAÚDE PÚBLICA (ONLINE), v. 55, p. 42, 2021.
  • SOUZA FILHO, BRENO AUGUSTO BORMANN DE ; STRUCHINER, CLÁUDIO JOSÉ . Uma proposta teórico-metodológica para elaboração de modelos teóricos. CADERNOS SAÚDE COLETIVA, v. 29, p. e1, 2021.
  • RODRIGUES, AMANDA ; Struchiner, Claudio J. ; COELHO, LARA E. ; VELOSO, VALDILEA G. ; Grinsztejn, Beatriz ; Luz, Paula M. . Late initiation of antiretroviral therapy: inequalities by educational level despite universal access to care and treatment. BMC PUBLIC HEALTH, v. 21, p. e1, 2021.
  • SANTOS, CLEBER VINICIUS BRITO DOS ; SEVÁ, ANAIÁ DA PAIXÃO ; WERNECK, GUILHERME LOUREIRO ; STRUCHINER, CLÁUDIO JOSÉ . Does deforestation drive visceral leishmaniasis transmission? A causal analysis. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, v. 288, p. 20211537, 2021.
  • MASINI, R. ; MEDEIROS, M. C. ; MENDES, EDUARDO F. . Machine learning advances for time series forecasting. Journal Of Economic Surveys, 2021.                                                                                                                                                   
  • MASINI, R. ; MEDEIROS, MARCELO C. ; MENDES, EDUARDO F. . Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations,. Journal of Time Series Analysis (Online), 2022.
  • LAPORTA, GABRIEL Z. ; ILACQUA, ROBERTO C. ; BERGO, EDUARDO S. ; CHAVES, LEONARDO S. M. ; RODOVALHO, SHEILA R. ; MORESCO, GILBERTO G. ; FIGUEIRA, ELDER A. G. ; Massad, Eduardo ; DE OLIVEIRA, TATIANE M. P. ; BICKERSMITH, SARA A. ; CONN, JAN E. ; SALLUM, MARIA ANICE M. . Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study. Scientific Reports, v. 11, p. 6477, 2021.
  • Amaku, Marcos ; COVAS, DIMAS TADEU ; Coutinho, Francisco Antonio Bezerra ; Azevedo, Raymundo Soares ; Massad, Eduardo . Modelling the impact of contact tracing of symptomatic individuals on the COVID-19 epidemic. Clinics, v. 76, p. e2639, 2021.
  • OLIVEIRA, TATIANE M. P. ; LAPORTA, GABRIEL Z. ; BERGO, EDUARDO S. ; CHAVES, LEONARDO SUVEGES MOREIRA ; ANTUNES, JOSÉ LEOPOLDO F. ; BICKERSMITH, SARA A. ; CONN, JAN E. ; Massad, Eduardo ; SALLUM, MARIA ANICE MUREB . Vector role and human biting activity of Anophelinae mosquitoes in different landscapes in the Brazilian Amazon. Parasites & Vectors, v. 14, p. 236, 2021.
  • CLANCY, INDIA L. ; JONES, ROBERT T. ; POWER, GRACE M. ; LOGAN, JAMES G. ; IRIART, JORGE ALBERTO BERNSTEIN ; Massad, Eduardo ; KINSMAN, JOHN . Public health messages on arboviruses transmitted by Aedes aegypti in Brazil. BMC PUBLIC HEALTH, v. 21, p. 1362, 2021.
  • AMAKU, M. ; COUTINHO, F. A. ; ÉBOLI, O. ; MASSAD, E. . Some problems with the use of the Dirac delta function I: What is the value of ∫0∞δ(x)dx?. REVISTA BRASILEIRA DE ENSINO DE FÍSICA (ONLINE), v. 43, p. e20210132-1, 2021. 
  • Amaku, Marcos ; COUTINHO, FRANCISCO A. B. ; ÉBOLI, OSCAR J. P. ; Massad, Eduardo . Some Problems with the Dirac Delta Function: Divergent Series in Physics. BRAZILIAN JOURNAL OF PHYSICS, v. 51, p. 1324-1332, 2021.
  • ALBANI, VINICIUS V.L. ; LORIA, JENNIFER ; Massad, Eduardo ; ZUBELLI, JORGE P. . The Impact of COVID-19 Vaccination Delay: A Data-Driven Modelling Analysis for Chicago and New York City. VACCINE, v. X, p. X-X, 2021.
  • AMAKU, M. ; COVAS, DIMAS TADEU ; Coutinho, Francisco Antonio Bezerra ; Azevedo, Raymundo Soares ; MASSAD, E. . Modelling the impact of delaying vaccination against SARS-CoV-2 assuming unlimited vaccine supply. Theoretical Biology and Medical Modelling, v. 18, p. 14, 2021.
  • ALBANI, VINICIUS ; LORIA, JENNIFER ; Massad, Eduardo ; ZUBELLI, JORGE . COVID-19 underreporting and its impact on vaccination strategies. BMC INFECTIOUS DISEASES, v. 21, p. 1111, 2021.
  • Massad, E.; AMAKU, M. ; COVAS, DIMAS TADEU ; Lopez, Luis Fernandez ; Coutinho, F.A.B. . Estimating the effects of reopening of schools on the course of the epidemic of COVID-19. EPIDEMIOLOGY AND INFECTION, v. X, p. 1-11, 2021
  • DE LA CRUZ, H.. Steady-state density preserving method for stochastic mechanical systems. European Physical Journal Plus, v. 136, p. 799-812, 2021.
  • GARCIA-ZANABRIA, GERMAIN ; RAIMUNDO, M. M. ; Poco, J. ; NERY, MARCELO ; SILVA, CLAUDIO T. ; NONATO, LUIS G. CriPAV: Street-Level Crime Patterns Analysis and Visualization. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021.
  • CARVALHO, LUIZ MAX; IBRAHIM, JOSEPH G. . On the normalized power prior. STATISTICS IN MEDICINE, v. 1, p. sim.9124, 2021.
  • LANA, RAQUEL MARTINS ; FREITAS, LAÍS PICININI ; CODEÇO, CLÁUDIA TORRES ; PACHECO, ANTÔNIO GUILHERME ; CARVALHO, LUIZ MAX FAGUNDES DE ; VILLELA, DANIEL ANTUNES MACIEL ; COELHO, FLÁVIO CODEÇO ; CRUZ, OSWALDO GONÇALVES ; NIQUINI, ROBERTA PEREIRA ; PORTO, VICTOR BERTOLLO GOMES ; GAVA, CAROLINE ; GOMES, MARCELO FERREIRA DA COSTA ; BASTOS, LEONARDO SOARES . Identificação de grupos prioritários para a vacinação contra COVID-19 no Brasil. CADERNOS DE SAÚDE PÚBLICA, v. 37, p. e00049821-e00049821, 2021.
  • Aronna, Maria Soledad; BONNANS, J. FRÉDÉRIC ; KRÖNER, AXEL . State Constrained Control-Affine Parabolic Problems II: Second Order Sufficient Optimality Conditions. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, v. 59, p. 1628-1655, 2021.
  • ARONNA, M. SOLEDAD; GUGLIELMI, R. ; MOSCHEN, L. M. . A model for COVID-19 with isolation, quarantine and testing as control measures. Epidemics, v. 1, p. 1-16, 2021.
  • SOLEDAD ARONNA, MARIA; TRÖLTZSCH, FREDI . First and second order optimality conditions for the control of Fokker-Planck equations. ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, v. 1, p. 1, 2021.
  • CHAVES, JULIO C. ; A.H.B. da Silva, Moacyr ; Evsukoff, Alexandre G. . Gravity Model Parameter Variation during a Long-Term Study using Mobile Phone Data in the Rio de Janeiro Metropolitan Area. CASE STUDIES ON TRANSPORT POLICY, v. 1, p. 20-30, 2021.
  • DE SOUZA, MARCOS ; SOUZA, RENATO ROCHA . Mapeamento de conhecimento científico: modelagem de tópicos das teses e dissertações do Programa de Pós-Graduação em Ciência da Informação da UFMG. EM QUESTÃO, v. 27, p. 228-250, 2021.
  • ABGAZ, Y. ; SOUZA, RENATO ROCHA ; DORN, A. ; METHUKU, Japesh ; KOCH, Gerda . A Methodology for Semantic Enrichment of Cultural Heritage Images Using Artificial Intelligence Technologies. JOURNAL OF IMAGING, v. 7, p. 1-22, 2021.
  • AREFIDAMGHANI, REZA ; Behling, Roger ; BELLO-CRUZ, YUNIER ; IUSEM, ALFREDO N. ; SANTOS, LUIZ-RAFAEL . The circumcentered-reflection method achieves better rates than alternating projections. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, v. 79, p. 507-530, 2021.
  • BELLO-CRUZ, J.Y. ; SANTOS, L. R. ; BEHLING, R. . Infeasibility and error bound imply finite convergence of alternating projections. SIAM JOURNAL ON OPTIMIZATION, v. e, p. 1-28-28, 2021.
  • NIETO-BARAJAS, LUIS E. ; TARGINO, RODRIGO S. . A GAMMA MOVING AVERAGE PROCESS FOR MODELLING DEPENDENCE ACROSS DEVELOPMENT YEARS IN RUN-OFF TRIANGLES. Astin Bulletin, v. 51, p. 245-266, 2021.
  • Guigues, Vincent. On the strong concavity of the dual function of an optimization problem. JOURNAL OF CONVEX ANALYSIS, v. 29, p. 247-260, 2022.
  • BANDARRA, MICHELLE ; Guigues, Vincent . Single cut and multicut stochastic dual dynamic programming with cut selection for multistage stochastic linear programs: convergence proof and numerical experiments. COMPUTATIONAL MANAGEMENT SCIENCE (PRINT), v. 18, p. 125-148, 2021.
  • Guigues, Vincent; MONTEIRO, RENATO D. C. . Stochastic Dynamic Cutting Plane for Multistage Stochastic Convex Programs. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (DORDRECHT. ONLINE), v. 189, p. 513-559, 2021.
  • Guigues, Vincent; JUDITSKY, ANATOLI ; NEMIROVSKI, ARKADI . Constant Depth Decision Rules for multistage optimization under uncertainty. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v. 295, p. 223-232, 2021.
  • Guigues, Vincent; MONTEIRO, RENATO ; SVAITER, BENAR . Inexact Cuts in Stochastic Dual Dynamic Programming Applied to Multistage Stochastic Nondifferentiable Problems. SIAM JOURNAL ON OPTIMIZATION, v. 31, p. 2084-2110, 2021.
  • SAPORITO, YURI F.; ZHANG, ZHAOYU . Path-Dependent Deep Galerkin Method: A Neural Network Approach to Solve Path-Dependent Partial Differential Equations. SIAM Journal on Financial Mathematics, v. 12, p. 912-940, 2021.  
  • DUARTE, DIOGO ; PRIETO, RODOLFO ; RINDISBACHER, MARCEL ; SAPORITO, YURI F. . Vanishing Contagion Spreads. MANAGEMENT SCIENCE, 2021.
  • RABELO, JOEL ; SAPORITO, YURI ; LEITAO, ANTONIO . On stochastic Kaczmarz type methods for solving large scale systems of ill-posed equations. INVERSE PROBLEMS, 2021
  • Karcher, M. D.,, Carvalho, L. M.,, Suchard, M. A.,, Dudas, G.,, & Minin, V. N.. Estimating effective population size changes from preferentially sampled genetic sequences. PLoS Computational Biology, 16(10), e1007774.
  • Vincent Gérard Yannick Guigues. Inexact Cuts In Stochastic Dual Dynamic Programming. SIAM Journal On Optimization, 30, 2020.
  • Vincent Gérard Yannick Guigues. Inexact Stochastic Mirror Descent For Two-stage Nonlinear Stochastic Programs. Mathematical Programming, 2020.
  • Hugo de la Cruz. Stabilized explicit methods for the approximation of stochastic systems driven by small additive noises. Chaos, Solitons & Fractals,140, 2020.
  • María Soledad Aronna, Y. Dumont. On nonlinear pest/vector control via the Sterile Insect Technique: impact of residual fertility. Bulletin of Mathematical Biology, 82:110, 2020.
  • R. Behling, L. R. Santos, J. Y. Bello Cruz. On The Circumcentered-reflection Method For The Convex Feasibility Problem. Numerical Algorithms, 1, 2020.
  • Renato Rocha Souza, A. Dorn, B. Piringer, E. Wandl-vogt. Uncertain Spaces, Uncertain Places. Dealing With Geographic Information In Digital Humanities: The Example Of A Language Legacy Dataset. GI_Forum Journal For Geographic Information Science, 8, 2020.
  • Daniela Lucas Da Silva, Flávio Codeço Coelho Souza (EMAp), Renato Rocha Souza (EMAp). Knowledge Organization Systems For The Representation Of Multimedia Resources On The Web: A Comparative Analysis. Knowledge Organization, 47, 2020.
  • Maurício Barcellos Almeida, Renato Rocha Souza, L. M. O. Machado. What Researchers Are Currently Saying About Ontologies: A Review Of Recent Web Of Science Articles.. Knowledge Organization, 47, 2020.
  • Fernanda Fernandes Matos, Lúcia Helena De Magalhaes, Renato Rocha Souza. Recuperação E Classificação De Sentimentos De Usuários Do Twitter Em Período Eleitoral.. Informação & Informação (Online), 25, 2020.
  • Daniela Lucas Da Silva, Renato Rocha Souza. Representação De Recursos Multimídia Na Web: Uso e Reúso De Padrões De Anotação. Perspectivas Em Ciência Da Informação (On Line), 25, 2020.
  • Maxime Lenormand, Horacio Samaniego, Júlio César Chaves, Vinícius da Fonseca Vieira, Moacyr Alvim Horta Barbosa da Silva, Alexandre Gonçalves Evsukoff. Entropy As A Measure Of Attractiveness And Socioeconomic Complexity In Rio De Janeiro Metropolitan Area. Entropy, 22, 2020.
  • Franco Rampazzo, Monica Motta, M. Soledad Aronna. A Higher-order Maximum Principle For Impulsive Optimal Control Problems. SIAM Journal On Control And Optimization, 58, 2020.
  • Roberta Pereira Niquini, Raquel Martins Lana, Antonio Guilherme Pacheco, Oswaldo Gonçalves Cruz, Flávio Codeço Coelho, Luiz Max Carvalho, Daniel Antunes Maciel Villela,, Marcelo Ferreira Da Costa Gomes, Leonardo Soares Bastos. SRAG Por Covid-19 No Brasil: Descrição E Comparação De Características Demográficas e Comorbidades Com SRAG Por Influenza e Com A População Geral. Cadernos De Saúde Pública, 36, 2020.
  • Darlan S. Claro Candido, Ingra M. De Jesus, Jaqueline G. Souza, William M. Moreira, Filipe R. R. Dellicour, Simon Mellan, Thomas A. Du Plessis, Louis Pereira, Rafael H. M. Sales, Flavia C. S. Manuli, Erika R. Thézé, Julien Almeida, Luiz Menezes, Mariane T. Voloch, Carolina M. Fumagalli, Marcilio J. Coletti, Thaís M. Da Silva, Camila A. M. Ramundo, Mariana S. Amorim, Mariene R. Hoeltgebaum, Henrique H. Mishra, Swapnil Gill, Mandev S. Carvalho, Luiz M. Buss, Lewis F. et al. Evolution And Epidemic Spread Of Sars-CoV-2 In Brazil. Science, 1, 2020.
  • J. C. Jimenez, Hugo de la Cruz, P. A. de Maio. Efficient Computation Of Phi-functions In Exponential Integrators. Journal Of Computational and Applied Mathematics, 2758, 2020.
  • Hugo de la Cruz, Jimenez, J. C. Exact Pathwise Simulation Of Multi-dimensional Ornstein-Uhlenbeck Processes. Journal Of Computational and Applied Mathematics, 366, 2020.
  • Sandra B. Maier, undefined, Marcos Amaku, Marcelo N. Burattini, David Greenhalgh. The Optimal Age Of Vaccination Against Dengue In Brazil Based On Serotype-specific Forces Of Infection Derived From Serological Data. Mathematical Medicine And Biology - A Journal of the IMA, 1, 2020.
  • Laila M. Ribas, Mara R. R. Massad, Ana C. B. C. F. Pinto, Hock Gan Heng, Tália M. Tremori, Sérvio T. J. Reis, Carina O. Baroni, Eduardo Massad, Noeme S. Rocha. Post-mortem Ct Vs Necropsy In Feline Medicine. Journal Of Feline Medicine And Surgery, 1, 2020.
  • Ana Kurauchi, Claudio José Struchiner, Annelies Wilder-smith, Eduardo Massad. Modelling The Effect Of A Dengue Vaccine On Reducing The Evolution Of Resistance Against Antibiotic Due To Misuse In Dengue Cases. Theoretical Biology And Medical Modelling, 17, 2020.
  • Geovane R. Santos, Clóvis A. l. Pinto, Raphael C. S. Prudente, Estela M. A. F. Bevilacqua, Steven S. Witkin, Saulo D. Passos. Histopathologic Changes In Placental Tissue Associated With Vertical Transmission Of Zika Virus. International Journal Of Gynecological Pathology, 39, 2020.
  • Cassia Fernanda Estofolete, Bruno Henrique Gonçalves De Aguiar Milhim, Carolina Cunha Galvão de França, Gislaine Celestino Dutra da Silva, Marcos Tayar Augusto, Ana Carolina Bernardes Terzian, Nathalia Zini, Edison Luís Durigon, Daniele Bruna Leal Oliveira, Eduardo Massad, Mauricio Lacerda Nogueira. Prevalence Of Measles Antibodies In São José Do Rio Preto, São Paulo, Brazil: A Serological Survey Model. Scientific Reports, 10, 2020.
  • Sandra B. Maier, Eduardo Massad, Marcos Amaku, Marcelo N. Burattini, David Greenhalgh. The Optimal Age Of Vaccination Against Dengue With An Age-dependent Biting Rate With Application To Brazil. Bulletin Of Mathematical Biology, 82, 2020.
  • Eduardo Mendes, Christopher K. Carter, David Gunawan, Robert Kohn. A Flexible Particle Markov Chain Monte Carlo method. Statistics And Computing, 2020.
  • Weeberb J. Requia, Edson Kenji Kondo, Matthew D. Adams, Diane R. Gold, Claudio José Struchiner. Risk Of The Brazilian Health Care System Over 5572 Municipalities To Exceed Health Care Capacity Due To The 2019 Novel Coronavirus (Covid-19). Science Of The Total Environment, 730, 2020.
  • Pedro Curi Hallal, Bernardo L. Horta, Aluísio J. D. Barros, Odir A. Dellagostin, Fernando P. Hartwig, Lúcia C. Pellanda, Claudio José Struchiner, Marcelo N. Burattini, Mariângela Freitas da Silveira, Ana M. B. Menezes, Fernando C. Barros, Cesar Gomes Victora. Evolução Da Prevalência De Infecção Por Covid-19 No Rio Grande Do Sul, Brasil: Inquéritos Sorológicos Seriados. Ciência & Saúde Coletiva, 5, 2020.
  • Laylla Ribeiro Macedo, E. L. N. Maciel,, C. J. Struchiner. Fatores Associados À Tuberculose Na População Privada De Liberdade No Espírito Santo.. Revista De Saúde Pública (Online), 54, 2020.
  • Saulo Nascimento de Melo, E. S. Silva, David Soeiro Barbosa, Rafael Gonçalves Teixeira Neto, Gustavo Augusto Lacorte, Marco Aurélio Pereira Horta, Diogo Tavares Cardoso, Guilherme Loureiro Werneck, C. J. Struchiner, Vinícius Silva Belo. Effects Of Gender, Sterilization, And Environment On The Spatial Distribution Of Free-roaming Dogs: An Intervention Study In An Urban Setting. Frontiers In Veterinary Science, 7, 2020.
  • Ana Kurauchi, C. J. Struchiner, Annelies Wilder-smith, E. Massad. Modelling The Effect Of A Dengue Vaccine On Reducing The Evolution Of Resistance Against Antibiotic Due To Misuse In Dengue Cases. Theoretical Biology And Medical Modelling, 17, 2020.
  • Joanna C. Dawes, Philip Webster, Barbara Iadarola, Claudia Garcia Diaz, Marian Dore, Bruce J. Bolt, Hamlata Dewchand, Gopuraja Dharmalingam, Alex P. Mclatchie, Jakub Kaczor, Juan J. Caceres, Alberto Paccanaro, Laurence Game, Simona Parrinello, Anthony G. Uren. LUMI-PCR: An Illumina Platform Ligation-mediated Pcr Protocol For Integration Site Cloning, Provides Molecular Quantitation Of Integration Sites. Mobile DNA, 11, 2020.
  • Jessica Gliozzo, Paolo Perlasca, Marco Mesiti, Elena Casiraghi, Viviana Vallacchi, Elisabetta Vergani, Marco Frasca, Giuliano Grossi, Alessandro Petrini, Matteo Re, Alberto Paccanaro, Giorgio Valentini. Network Modeling Of Patients' Biomolecular Profiles For Clinical Phenotype/outcome Prediction. Scientific Reports, 10, 2020.
  • Flávio Codeço Coelho, Luiz Max Fagundes de Carvalho, L. B. L. Santos, W. Seron, E. E. Macau, M. G. Quiles, A. M. V. Monteiro. How do urban mobility (geo) graph's topological properties fill a map?. Applied Network Science, 4, 2019.
  • Flávio Codeço Coelho, C. T. Codeço. Precision epidemiology of arboviral diseases. Journal of Public Health and Emergency, 3, 2019.
  • Flávio Codeço Coelho, L. S. Bastos, T. Economou, M. F. C. Gomes, D. A. M. Villel, O. G Cruz, O. Stoner, T. Bailey, C. T. Codeço. A modelling approach for correcting reporting delays in disease surveillance data. Statistics In Medicine, 1, 2019.
  • Flávio Codeço Coelho, A. Brandão. Decentralising scientific publishing: can the blockchain improve science communication?. Memórias do Instituto Oswaldo Cruz, 114, 2019.
  • Eduardo Massad, C. G. A. Lara, L. F. Lopez, M. Amaku. Analogy between the Formulation of Ising-Glauber Model and Si Epidemiological Model. Journal of Applied Mathematics And Physics, 07, 2019.
  • Eduardo Massad, A. P. Wilder-Smith, B. Raman, E. B. Ximenes, R. A. de A. Mirandafilho, D. de B. T. Martelli, C. M. Araújo, T. V. B. de Montarroyos, U. R. Moreira, M. E. Turchi, M. D. Solomon, T. Jacobs, B. C. Villamizar, C. P. Osorio, L. de Filipps, A. M. B. Neyts, J. Kaptein, S. Huits, R. Ariën, K. K. Willison, H. J. Edgar, J. M. Barnett, S. C. Peeling, R. Boeras,, D. Guzman, Maria G. et al. ZikaPLAN: addressing the knowledge gaps and working towards a research preparedness network in the Americas. Global Health Action, 12, 2019.
  • Eduardo Massad, J. Orsborne, L. Furuya-Kanamori, C. L. Jeffries, M. Kristan, A. R. Mohammed, Y. A. Afrane, K. O’Reilly, C. Drakeley, T. Walker, L. Yakob. Investigating the blood-host plasticity and dispersal of Anopheles coluzzii using a novel field-based methodology. Parasites & Vectors, 12, 2019.
  • Eduardo Massad, A. B. Wilder-Smith, A. Wilder-Smith, Z. A. Memish. Modelling the importation risk of measles during the Hajj. Lancet Infectious Diseases, 19, 2019.
  • Eduardo Massad, F. A. B. Coutinho, A. Wilder-Smith. Modelling an optimum vaccination strategy sgainst Zika virus for outbreak use. Epidemiology and Infection, 147, 2019.
  • Eduardo Massad, M. Karami, A. Doosti-Irani, A. Ardalan, F. Gohari-Ensaf, Z. Berangi, Y. M. Rebi, M. Asadi-Lari, M. M. Gouya. Public Health Threats in Mass Gatherings: A Systematic Review. Disaster Medicine and Public Health Preparedness, 13, 2019.
  • Eduardo Massad, C. G. A. Lara, Cristina Gabriela Aguilar, L. F. Lopez, M. Amaku. Analogy between the Formulation of Ising-Glauber Model and Si Epidemiological Model. Journal of Applied Mathematics And Physics, 07, 2019.
  • Eduardo Massad, Flávio Codeço Coelho, A. C. W. G. De Barros, K. G. Santos. Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics. Microorganisms, 7, 2019.
  • Eduardo Massad, E. Chaib, J. L. E. Pessoa, M. Medeiros. Impact of HCV antiviral therapy on the Liver Transplantation WaitingList assessed by mathematical models. J Surg Surgical Res, 5, 2019.
  • Claudio José Struchiner, Luiz Max Fagundes de Carvalho, L. R. C. Vasconcellos, F. A. M. Silveira, I. C. Gonçalves, F. S. Coelho, O. A. C. Talyuli, T. L. A. Silva, L. S. Bastos, M. H. F. Sorgine, L. A. Reis, F. A. Dias, F. Gazos-Lopes, A. H. Lopes. Natural infection by the protozoan Leptomonas wallacei impacts the morphology, physiology, reproduction, and lifespan of the insect Oncopeltus fasciatus. Scientific Reports, 9, 2019.
  • Claudio José Struchiner, Eduardo Massad, M. M. A. Sallum, J. e. Conn, E. S. Bergo, G. Z. Laporta, L. S. M. Chaves, S. a. Bickersmith, T. M. P de Oliveira, E. A. G. Figueira, G. Moresco, L. Olívêr, L. Yakob. Vector competence, vectorial capacity of Nyssorhynchus darlingi and the basic reproduction number of Plasmodium vivax in agricultural settlements in the Amazonian Region of Brazil. Malaria Journal, 18, 2019.
  • Roger Behling, D. S. Goncalves, S. A. Santos. Local Convergence Analysis of the Levenberg-Marquardt Framework for Nonzero-Residue Nonlinear Least-Squares Problems under an Error Bound Condition. Journal Of Optimization Theory And Applications, 1, 2019.
  • Roger Behling, L-R. Santos, J. Y. B. Cruz. The Blockwise Circumcentered-Reflection Method. Computational Optimization And Applications, 1, 2019.
  • Claudio José Struchiner, P. M. Luz, H. E. Brown. Disgust as an emotional driver of vaccine attitudes and uptake? A mediation analysis. Epidemiology and Infection, 147, 2019.
  • Roger Behling, A. Fischer, K. Schönefeld, N. Strasdat. A Special complementarity function revisited. Optimization, 68, 2019.
  • Renato Rocha Souza, D. L. da Silva. Ontologias na representação de documentos: um panorama atual para descrição de conteúdo multimídia em rede. Informação & Sociedade-Estudos, 29, 2019.
  • Renato Rocha Souza, Amelie Dorn, Barbara Piringer, Eveline Wandl-Vogt. Towards A Taxonomy of Uncertainties: Analysing Sources of Spatio-Temporal Uncertainty on the Example of Non-Standard German Corpora. Informatics, 6, 2019.
  • Renato Rocha Souza, L. H. de Magalhaes. Sistema de Recuperação da Informação: uma abordagem baseada em ontologias. Pontodeacesso (UFBA), 13, 2019.
  • Renato Rocha Souza, P. E. P. C. Marques, M. C. S. Guimarães, J. G. Barbosa. O que a política científica pode aprender com o Diário Oficial da União (DOU): Um Olhar Exploratório. P2P e Inovação, 6, 2019.
  • Renato Rocha Souza, L. M. O. Machado, M. da G. Simões. Semantic Web or Web of Data? A diachronic study (1999 to 2017) of the publications of Tim Berners-Lee and the World Wide Web Consortium. Journal of the Association for Information Science and Technology, 70, 2019.
  • Asla Medeiros e Sá, J. E. S. Sanchez, l. H. Figueiredo. Acquiring periodic tilings of regular polygons from images. Visual Computer, 5, 2019.
  • María Soledad Aronna, J. F. Bonnans, A. Kröner. Optimal Control of PDEs in a Complex Space Setting: Application to the Schrödinger Equation. SIAM Journal On Control And Optimization, 57, 2019.
  • Hugo A. de la Cruz Cancino, J. C. Jimenez, R. J. Biscay. On the oscillatory behavior of coupled stochastic harmonic oscillators driven by random forces. Statistics & Probability Letters, 146, 2019.
  • D. Villela, L. Bastos, L. Carvalho, O. Cruz, M. Gomes, B. Durovni, C. Lemos, V. Saraceni, Flávio Codeço Coelho. Zika in Rio de Janeiro: Assessment of basic reproduction number and comparison with dengue outbreaks. Epidemiology and Infection (Print), 2017.
  • L. Café, Renato Rocha Souza. Sentiment Analysis and Knowledge Organization: An Overview of the International Literature. Knowledge Organization, 44, 2017.
  • Pierre-Alexandre Bliman, N. Vauchelet. Establishing Traveling Wave in Bistable Reaction-Diffusion System by Feedback. IEEE Control Systems Letters, 1, 2017.
  • A. Bhaya, Pierre-Alexandre Bliman, G. Niedu, F. A. Pazos. A cooperative conjugate gradient method for linear systems permitting efficient multi-thread implementation. Computational & Applied Mathematics, 5, 2017.
  • Vincent Gérard Yannick Guigues. Multistep stochastic mirror descent for risk-averse convex stochastic programs based on extended polyhedral risk measures. Mathematical Programming, 163, 2017.
  • Vincent Gérard Yannick Guigues. Dual Dynamic Programing with cut selection: Convergence proof and numerical experiments. European Journal of Operational Research, 258, 2017.
  • Hugo A. de la Cruz Cancino, J. C. Jimenez, J. P. Zubelli. Locally Linearized methods for the simulation of stochastic oscillators driven by random forces.. BIT Numerical Mathematics, 1, 12016.
  • Flávio Codeço Coelho, B. Durovni, V. Saraceni, C. Lemos, C. Codeço, S. Camargo, L. Carvalho, L. Bastos, D. Arduni, D. Villela, Margaret Armstrong. Higher incidence of Zika in adult women in Rio de Janeiro suggests a significant contribution of sexual transmission from men to women. International Journal of Infectious Diseases, 2016.
  • C. Codeço, D. Villela, M. Gomes, L. Bastos, O. Cruz, C. Struchiner, L. Carvalho, Flávio Codeço Coelho. Zika is not a reason for missing the Olympic Games in Rio de Janeiro: response to the open letter of Dr Attaran and colleagues to Dr Margaret Chan, Director - General, WHO, on the Zika threat to the Olympic and Paralympic Games.. Memórias do Instituto Oswaldo Cruz (Online), 111, 2016.
  • A. Bhaya, Pierre-Alexandre Bliman, F. A. Pazos. Cooperative concurrent asynchronous computation of the solution of symmetric linear systems. Numerical Algorithms, 73, 2016.
  • J. de F. Santos, Flávio Codeço Coelho, Pierre-Alexandre Bliman. Behavioral Modulation of Infestation by Varroa destructor in Bee Colonies. Implications for Colony Stability. Plos One, 11, 2016.
  • Flávio Codeço Coelho, C. T. Codeço, O. G. Cruz, S. Camargo, Pierre-Alexandre Bliman. Epidemiological data accessibility in Brazil. Lancet. Infectious Diseases (Print), 16, 2016.
  • Vincent Gérard Yannick Guigues. Convergence analysis of sampling-based decomposition methods for risk-averse multistage stochastic convex programs. SIAM Journal on Optimization, 26, 2016.
  • M. C. Medeiros, Eduardo Fonseca Mendes. l1-Regularization of High-dimensional Time-Series Models with non-Gaussian and Heteroskedastic Errors. Journal of Econometrics, 191, 2016.
  • P. Cavalin, M. Gatti, T. Moraes, F. Oliveira, C. Pinhanez, Alexandre Rademaker, R. de Paula. A Scalable Architecture for Real-Time Analysis Of Microblogging Data. IBM Journal Of Research and Development, 59, 2015.
  • H. Oliveira, V. de Paiva, C. Freitas, Alexandre Rademaker. As Wordnets Do Português. Oslo Studies In Language, 7, 2015.
  • Flávio Codeço Coelho, L. Carvalho. Estimating the Attack Ratio of Dengue Epidemics under Time-varying Force of Infection using Aggregated Notification Data. Scientific Reports, 5, 2015.
  • Renato Rocha Souza, A. Calvão, C. Paixão, Flávio Codeço Coelho. The consumer litigation industry: Chasing dragon kings in lawyer-client networks. Social Networks, 40, 2015.
  • I. Lima, Renato Rocha Souza, G. Dias. Usabilidade da Biblioteca Virtual em Saúde: avaliando a eficácia, eficiência e satisfação. InCID: Revista de Ciência da Informação e Documentação, 6, 2015.
  • Renato Rocha Souza, M. Almeida, R. Porto. Ciência da informação em transformação: Big Data, nuvens, redes sociais e Web Semântica. Ciência da Informação (Online), 42, 2015.
  • M. Fernandes, Eduardo Fonseca Mendes, O. Scaillet. Testing for symmetry and conditional symmetry using asymmetric kernels. Annals of the Institute of Statistical Mathematics, 33, 2015.
  • I. Cafezeiro, J. Viterbo Filho, Alexandre Rademaker, E. Haeusler, M. Endler. Specifying Ubiquitous Systems through the Algebra of Contextualized Ontologies. Knowledge Engineering Review, 29, 2014.
  • Hugo A. de la Cruz Cancino, C. H. Oliveira, J. P. Zubelli. Numerical integration of a random integral equation arising in the simulation of stochastic transport equations. American Institute Physics AIP conf Proc, 1558, 2014.
  • Renato Rocha Souza, K. Raghavan. Extraction of Keywords from Texts: An Exploratory study using Noun Phrases. Informação & Tecnologia, 1, 2014.
  • I. Hartmann, Renato Rocha Souza. O Discurso do Supremo no Mensalão - Análise Quantitativa dos Votos Orais no Julgamento da AP 470. Revista de Estudos Criminais,12, 2014.
  • E. Silva, Renato Rocha Souza. Fundamentos em processamento de linguagem natural: uma proposta para extração de bigramas. Encontros Bibli, 19, 2014.
  • D. Silva, Renato Rocha Souza. Representação de documentos multimídia: dos metadados às anotações semânticas. Tendências da Pesquisa Brasileira em Ciência da Informação, 7, 2014.
  • Vincent Gérard Yannick Guigues. SDDP for some interstage dependent risk-averse problems and application to hydro-thermal planning. Computational Optimization and Applications, 57, 2014.
  • Vincent Gérard Yannick Guigues, C. Sagastizábal, J. P. Zubelli. Robust Management and Pricing of Liquefied Natural Gas Contracts with Cancelation Options. Journal of Optimization Theory and Applications, 161, 2014.
  • Hugo A. de la Cruz Cancino, R. J. Biscay, J. C. Jimenez, F. Carbonell. Local Linearization-Runge-Kutta methods: A class of A-stable explicit integrators for dynamical systems. Mathematical and Computer Modelling, 57, 2013.
  • R. Teixeira, Renato Rocha Souza. O uso das informações contidas em documentos de patentes nas práticas de Inteligência Competitiva:apresentação de um estudo das patentes da UFMG.. Perspectivas em Ciência da Informação (Online), 1, 2013.
  • Vincent Gérard Yannick Guigues, C. Sagastizábal. Risk-averse feasible policies for large-scale multistage stochastic linear programs. Mathematical Programming, 138, 2013.
  • Hugo A. de la Cruz Cancino, J. C. Jimenez. Convergence rate of strong Local Linearization schemes for stochastic differential equations with additive noise.. BIT Numerical Mathematics, 52, 2012.
  • C. T. Codeço, Flávio Codeço Coelho. Modelagem de Doenças Transmissíveis. Oecologia Australis, 1, 2012.
  • C. T. Codeço, A. Weiss, O. Cruz, Flávio Codeço Coelho, P. M. Luz, C. Struchiner. The epidemic wave of influenza A (H1N1) in Brazil, 2009.. Cadernos de Saúde Pública (ENSP. Impresso), 28, 2012.
  • I. Lima, Renato Rocha Souza, G. Dias. Interatividade e Usabilidade nas Bibliotecas Digitais no Processo Ensino-Aprendizagem. Datagramazero (Rio de Janeiro), 13, 2012.
  • M. Almeida, C. Cendón, Renato Rocha Souza. Metodologia para implantação de programas de preservação de documentos digitais a longo prazo. Encontros Bibli, 17, 2012.
  • Renato Rocha Souza, E. Silva. Information Retrieval System Using Multiwords Expressions (MWE) as DEscriptors. Revista de Gestão da Tecnologia e Sistemas de Informação (Online), 9, 2012.
  • Renato Rocha Souza, D. Tudhope, M. Almeida. Towards a Taxonomy of KOS: Dimensions for Classifying Knowledge Organization Systems. Knowledge Organization, 39, 2012.
  • H. de Mello, Renato Rocha Souza. A linguagem da ciência: prospecção de dados baseados em corpora. Anais do I STIS - Seminários Teóricos Interdisciplinares do SEMIOTEC, 1, 2012.
  • Vincent Gérard Yannick Guigues, C. Sagastizábal. The value of rolling-horizon policies for risk-averse hydro-thermal planning. European Journal of Operational Research, 217, 2012.
  • Vincent Gérard Yannick Guigues, W. Römisch. Sampling-Based Decomposition Methods for Multistage Stochastic Programs Based on Extended Polyhedral Risk Measures. SIAM Journal on Optimization, 22, 2012.
  • Vincent Gérard Yannick Guigues, W. Römisch. SDDP for multistage stochastic linear programs based on spectral risk measures. Operations Research Letters, 40, 2012.
  • Vincent Gérard Yannick Guigues, C. Sagastizábal. Exploiting the structure of autoregressive processes in chance-constrained multistage stochastic linear programs. Operations Research Letters, 40, 2012.
  • Vincent Gérard Yannick Guigues. Nonparametric multivariate breakpoint detection for the means, variances, and covariances of a discrete time stochastic process. Journal of Nonparametric Statistics (Print), 24, 2012.
  • V. de Paiva, E. Haeusler, Alexandre Rademaker. Constructive Description Logics Hybrid-Style. Electronic Notes In Theoretical Computer Science, 273, 2011.
  • Flávio Codeço Coelho, C. T. Codeço, G. Gomes. A Bayesian framework for parameter estimation in dynamical models. Plos One, 6, 2011.
  • M. Almeida, Renato Rocha Souza, F. Fonseca. Semantics In The Semantic Web: A Critical Evaluation. Knowledge Organization, 38, 2011.
  • E. Aganette, L. Alvarenga, Renato Rocha Souza. Elementos constitutivos do conceito de Taxonomia. Informação & sociedade (UFPB. Online), 20, 2011.
  • M. Almeida, Renato Rocha Souza. Avaliação do espectro semântico de instrumentos para organização da informação. Encontros Bibli, 16, 2011.

Mathematical and Computational Models for Optimizing Strategies for Reducing the Levels of Violence with Victims in Brazil

Coordinator: Eduardo Massad (FGV EMAp)

Resumo: Este projeto de pesquisa tem como objetivo desenvolver metodologias, modelos matemáticos e ferramentas de ciência de dados para auxiliar órgãos de segurança pública na análise de padrões de crimes no Brasil, visando aumentar a eficiência das polícias e a criação de políticas públicas voltadas para prevenção e controle de atividades criminais. Especificamente, o projeto tem como principais objetivos: 1) Criar uma sistemática para mapear, categorizar e integrar dados públicos e privados relacionados a eventos criminais, criando assim uma base para o desenvolvimento de políticas de segurança, auxiliando ainda na gestão da ordem pública e a redução dos níveis de violência; 2) Criar ferramentas para acessar, integrar e analisar os dados, desenvolvendo metodologias capazes de revelar padrões de atividades criminosas a partir de conjuntos de dados variados. Tais ferramentas possibilitarão uma melhor compreensão de como características urbanas e sociais impactam na taxa e no tipo de crime; 3) Construção de modelos matemáticos com capacidade descritiva e preditiva de otimização de estratégias de redução dos níveis de violência e todas as suas vertentes; O projeto será executado em duas cidades do Brasil: São Paulo e Rio de Janeiro. Para mais detalhes, clique aqui.

Abstract: Violence, understood in its broad sense, can be defined as “aggression by external causes”. In general, there are essentially two types of violence: intentional (crimes) and unintentional (accidents). This division has support in the concepts proposed by Flamínio Favero of “criminal” and “accidental”. For purposes of legal liability, these categories are classified as “intentional” and “negligent”. The study “Global Burden of Disease 2016”, published in volume 390, pp. 1083-1464, of the magazine The Lancet, calculated the total number of yearly deaths by violence in the world at 4.6 million, of the 1.5 million due to traffic accidents, 1.8 million due to unintentional injuries, 1.2 million by interpersonal violence, and 162 thousand due to natural disasters. The same study calculated the 20 number of disability-adjusted life-years (DALYs) due to the various forms of violence in the world as 255 million, of the 78 million by traffic accidents, 107 million caused by unintentional injuries, 59 million by interpersonal violence, and 11 million by natural disasters. In absolute numbers, Brazil occupies second place in the world in deaths caused by interpersonal violence and twelfth in deaths normalized per 100 thousand inhabitants. The economic impacts of violence in Brazil still need to be estimated with some degree of precision, and this study will supply rational bases for reliable economic calculation. Besides this, it will provide support for possible alteration of Brazil’s Penal Code and Code of Criminal Sentencing. Therefore, the present project intends to construct databases, as well as optimize and integrate existing databases, to store and recover data of interest for formulating public policies. Mathematical optimization models will be constructed for strategies to reduce the levels of violence in Brazil, as well as its costs in terms of lives lost and economic performance. The project will count on the participation of the Center for Data Science of New York University (USA), University of Coimbra (Portugal), University of Derby (United Kingdom), York University (Canada), and the Department of Legal Medicine of the University of São Paulo (USP).

Colaborators: Jorge Poco (FGV EMAp), Moacyr Alvim Horta Barbosa da Silva (FGV EMAp), Silvia Martorano Raimundo (USP), Raphael Ximenes (Pós-doutorando, University Health Network, UHN, Canadá), Luis Gustavo Nonato (USP-ICMC), David Greenhalgh ((University of Strathchlyde, UK), Kyle Treiber (University of Cambridge, UK)

Financier: Programa Institucional de Internacionalização – CAPES –PrInt e Rede de Pesquisa e Conhecimento Aplicado da FGV.

A⁻ A A⁺
High contrast

Esse site usa cookies

Nosso website coleta informações do seu dispositivo e da sua navegação e utiliza tecnologias como cookies para armazená-las e permitir funcionalidades como: melhorar o funcionamento técnico das páginas, mensurar a audiência do website e oferecer produtos e serviços relevantes por meio de anúncios personalizados. Para mais informações, acesse o nosso Aviso de Cookies e o nosso Aviso de Privacidade.