Recent productions by teachers – PPG-COMPMAT: Pós-Graduação em Ciências Computacionais e Modelagem Matemática (IME/UERJ)

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Nome	Vínculo (Área) - Linha Principal	Publicações recentes
Alexandre da Costa Sena asena@ime.uerj.br Lattes	P-MD (COMP) - L3	1. MENDES, GABRIEL P. ; PORTO, L. C. ; LIMA, CRISTIANO ; SANTIAGO, HELTON ; ALMEIDA, STEPHANIE ; SENA, A. C. . Análise da Prevalência de Alelos HLA em Pacientes com COVID-19. journal of health informatics, v. 15, p. 1, 2023. 2. JOÃO, MARIO ; SENA, ALEXANDRE C. ; REBELLO, VINOD E. F. . On closing the inopportune gap with consistency transformation and iterative refinement. PLoS One, v. 18, p. e0287483, 2023. 3. WERNECK, GUILHERME LOUREIRO ; PORTO, LUÍS CRISTÓVÃO ; SENA, ALEXANDRE ; FERREIRA JUNIOR, ORLANDO DA COSTA ; CAVALCANTI, ANDREA CONY ; SANTOS, ÂNGELA MARIA GUIMARÃES ; SECCO, DANIELLE ANGST ; SILVA, MARCIO ; MARIANI, DIANA ; CHIEPPE, ALEXANDRE ; TANURI, AMILCAR . The incidence and geographical spread of SARS-CoV-2 in Rio de Janeiro, Brazil based on RT-PCR test results. SOCIEDADE BRASILEIRA DE MEDICINA TROPICAL. REVISTA, v. 54, p. 1, 2021. 4. NUNES, KELLY ; AGUIAR, VITOR R. C. ; SILVA, MÁRCIO ; SENA, ALEXANDRE C. ; DE OLIVEIRA, DANIELLI C. M. ; DINARDO, CARLA L. ; KEHDY, FERNANDA S. G. ; TARAZONA-SANTOS, EDUARDO ; ROCHA, VANDERSON G. ; CARNEIRO-PROIETTI, ANNA BARBARA F. ; LOUREIRO, PAULA ; FLOR-PARK, MIRIAM V. ; MAXIMO, CLAUDIA ; KELLY, SHANNON ; CUSTER, BRIAN ; WEIR, BRUCE S. ; SABINO, ESTER C. ; PORTO, LUÍS CRISTÓVÃO ; MEYER, DIOGO . How Ancestry Influences the Chances of Finding Unrelated Donors: An Investigation in Admixed Brazilians. Frontiers in Immunology, v. 11, p. 1, 2020. 5.SAMPAIO, ADRIANNO A. ; SENA, ALEXANDRE C. ; NERY, ALEXANDRE S. . Enabling heterogeneous ray-tracing acceleration in edge/cloud architectures. CONCURRENY AND COMPUTATION (ONLINE), v. 33, p. 1, 2020.
Alexandre Sztajnberg alexszt@ime.uerj.br Lattes • Site Pessoal	P-MD (COMP) - L1	1. SOARES, CARLOS AUGUSTO RIBEIRO ; DE SOUZA COUTO, RODRIGO ; Sztajnberg, Alexandre ; DO AMARAL, JORGE LUÍS MACHADO . POSIMNET-R: An immunologic resilient approach to position routers in Industrial Wireless Sensor Networks. EXPERT SYSTEMS WITH APPLICATIONS, v. 188, p. 116045, 2021. 2. BRITES, A. ; CALDAS, C. P. ; MOTTA, L. B. ; CARMO, D. S. ; SZTAJNBERG, A. ; STUTZEL, MATHEUS COSTA . Mobile Care System for Older Adults: perceptions about its use in caring for people with dementia. REVISTA BRASILEIRA DE GERIATRIA E GERONTOLOGIA, v. 23, p. 1-11, 2020. 3. QUEIROZ, G. ; COUTO, R. S. ; SZTAJNBERG, A. . Um estudo comparativo de simuladores para sistemas distribuídos. CADERNOS DO IME. SÉRIE INFORMÁTICA, v. 40, p. 6-28, 2019. 4. SANTOS, A. O. ; SZTAJNBERG, A. ; NOBRE, D. M. ; MACHADO, T. M. ; SOUZA, A. N. P. E. ; SAVASSI, L. C. M. . Development and Evaluation of a Crowdsourcing Platform for Education and Evidence-Based Medical Decision-Making. REVISTA BRASILEIRA DE EDUCAÇÃO MÉDICA (ONLINE), v. 43, p. 513-524, 2019. 5. STUTZEL, MATHEUS COSTA ; FILLIPO, MICHEL ; SZTAJNBERG, A. ; COSTA, Rosa Maria Esteves ; BRITES, A. ; MOTTA, L. B. ; CALDAS, C. P. . Multi-part quality evaluation of a customized mobile application for monitoring elderly patients with functional loss and helping caregivers. BMC Medical Informatics and Decision Making, v. 19, p. 140, 2019.
Americo Barbosa da Cunha Junior americo@ime.uerj.br Lattes • Site Pessoal	P-MD (ENG) - L2 e L4	1. Cunha, Americo; Yanik, Yasar ; Olivieri, Carlo ; da Silva, Samuel . Tresca vs. von Mises: Which failure criterion is more conservative in a probabilistic context?. JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, v. 91, p. 111008, 2024. 2. Reis, Adriane S. ; dos Santos, Laurita ; Cunha Jr, Américo ; Konstantyner, Thaís C.R.O. ; Macau, Elbert E.N. . Unravelling COVID-19 waves in Rio de Janeiro city: Qualitative insights from nonlinear dynamic analysis. Infectious Disease Modelling, v. 9, p. 314-328, 2024. 3. Raqueti, Rafael da S ; Teloli, Rafael de O ; da Silva, S. ; Busseta, Philippe ; Cunha Jr, A. . On the use of Stochastic Bouc?Wen model for simulating viscoelastic internal variables from a finite element approximation of steady-rolling tire. JOURNAL OF VIBRATION AND CONTROL, v. 29, p. 4799-4813, 2023. 4. Orbegoso, Elder Mendoza ; Figueira da Silva, Luís Fernando ; Cunha, Americo . PaSR-SDE: Premixed turbulent combustion with stochastic mixing models simulator. Software Impacts, v. 15, p. 100480, 2023. 5. Cunha Jr, Americo; Barton, David A. W. ; Ritto, Thiago G. . Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation. NONLINEAR DYNAMICS, v. 111, p. 9649-9679, 2023.
Carlos Antonio de Moura demoura@ime.uerj.br Lattes • Site Pessoal	V (MAT.AP) - L4	1. DE NEGREIROS, JHOAB PESSOA ; DE MOURA, CARLOS ANTONIO ; DE FARIA, CRISTIANE OLIVEIRA . Numerical algorithms considering a dimensional correction parameter on the fractional order diffusion equation. REVISTA ELETRÔNICA PAULISTA DE MATEMÁTICA, v. 22, p. 102-118, 2022. 2. MORAES, LEONARDO R. DA C. ; MANSUR, RALPH S. ; MOURA, CARLOS A. ; CURBELO, JESÚS P. ; FILHO, HERMES ALVES ; BARROS, RICARDO C. . A Response Matrix Method for Slab-Geometry Discrete Ordinates Adjoint Calculations in Energy-Dependent Neutral Particle Transport. JOURNAL OF COMPUTATIONAL AND THEORETICAL TRANSPORT, v. 50, p. 1-21, 2021. 3. BORGES, VANESSA HENRIQUES ; Ivail Muniz Jr ; de Moura, Carlos ; SILVA, D. ; DE CASTRO, MARIA CLICIA STELLING ; Célia Maria Cortez . Computational Mathematical Model Based on Lyapunov Function for the Hormonal Storage Control. INTERNATIONAL JOURNAL FOR INNOVATION EDUCATION AND RESEARCH, v. 8, p. 375-391, 2020. 4. BARBOSA, A. C. C. ; C. A. de Moura ; NEGREIROS, J. P. ; AGUIAR, J. M. S. . Numerical Treatment of a Data Completion Problem in Heat Conduction Modelling. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, v. 26, p. 1177-1188, 2020. 5. MONTEIRO, DANIELA RIBEIRO ; BARBOSA, Augusto César de Castro ; de Moura, C. A. . Ecologia Matemática: um modelo para controle de pragas com emprego da teoria dos jogos. Cadernos do IME ¿ Série Matemática, v. 10, p. 1-10, 2016.
Carlos Frederico Fragoso de Barros e Vasconcellos cfredvasc@ime.uerj.br Lattes	V (MAT) - L4	1. MARTINS, PATRICIA REIS ; DA SILVA, PATRÍCIA NUNES ; Vasconcellos, Carlos Frederico ; LANZILLOTTI, REGINA SERRÃO . Analysis of a portfolio selection model at three-moments. OBSERVATORIO DE LA ECONOMÍA LATINOAMERICANA, v. 22, p. e3216, 2024. 2. SILVA, P. N. ; ABREU, R. C. P. ; VASCONCELLOS, C. F. . DIA: A Computerized Adaptive Testing Tool for Assessing Student Learning. International Journal for Innovation Education and Research, v. 5, p. 64-74, 2017. 3. SANTOS, A. L. C. ; SILVA, P. N. ; VASCONCELLOS, C. F. . Entire Functions Related to Stationary Solutions of the Kawahara Equation. Electronic Journal of Differential Equations, v. 2016, p. 1-13, 2016. Citações:1 4. SILVA, P. N. ; VASCONCELLOS, C. F. . ON THE STABILIZATION OF THE LINEAR KAWAHARA EQUATION WITH PERIODIC BOUNDARY CONDITIONS. International Journal of Analysis and Applications, v. 7, p. 96-103, 2015. 5. Patrícia Reis Martins ; VASCONCELLOS, C. F. . Teorema do Ponto Fixo de Brouwer. Cadernos do IME ? Série Matemática, v. 8, p. 39-56, 2014.
Cristiana Bentes cris@eng.uerj.br Lattes • Site Pessoal	P-MD (COMP) - L3	1. MENDES, RAFAEL ; KAELIN, BRUNO ; MARTÍNEZ-SANSIGRE, ALEJO ; BARBOSA, VALMIR C. ; BENTES, Cristiana ; Amorim, Claudio L. . Faster determination of an initial velocity model for full-waveform inversion based on simulated annealing. GEOPHYSICS, v. 89, p. R187-R198, 2024. 2. ALMENARA VENTURA ALVES, RAFAEL ; BENTES, Cristiana ; S. CASTRO, MARIA CLICIA . Parallel implementations of TSP brute force algorithm. CADERNOS DO IME. SÉRIE INFORMÁTICA, v. 49, p. 97-112, 2024. 3. CARVALHO, PABLO ; CLUA, ESTEBAN ; PAES, ALINE ; BENTES, Cristiana ; LOPES, BRUNO ; DRUMMOND, L. M. A. . Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs. Future Generation Computer Systems, v. 1, p. 1-20, 2020. 4. CARVALHO, PABLO ; CRUZ, ROMMEL ; DRUMMOND, LUCIA M. A. ; BENTES, Cristiana ; CLUA, ESTEBAN ; CATALDO, EDSON ; MARZULO, LEANDRO A. J. . Kernel concurrency opportunities based on GPU benchmarks characterization. Cluster Computing-The Journal of Networks Software Tools and Applications, v. 1, p. 1-12, 2019. 5. CARVALHO, CAIO B.G. ; FERREIRA, VICTOR C. ; FRANÇA, FELIPE M.G. ; BENTES, CRISTIANA B. ; MENCAGLI, GABRIELE ; ALVES, TIAGO A.O. ; SENA, ALEXANDRE C. ; MARZULO, LEANDRO A.J. . A dataflow runtime environment and static scheduler for edge, fog and in-situ computing. International Journal of Grid and Utility Computing, v. 10, p. 235, 2019.
Cristiane Oliveira de Faria cofaria@ime.uerj.br Lattes	P-MD (MAT.AP) - L3 e L4	1. TARASCHI, G. ; CORREA, M.R. ; PINTO, A.S. ; FARIA, C.O. . A global H(div)-conforming finite element post-processing for stress recovery in nearly incompressible elasticity. APPLIED MATHEMATICS AND COMPUTATION, v. 470, p. 128587, 2024. 2. BRUM, R. C. ; CASTRO, M. C. S. ; FARIA, C. O. . The Impact of Compilation Flags and Choosing Single- or Double-Precision Variables in Linear Systems Solvers. Trends in Computational and Applied Mathematics, v. 24, p. 319-335, 2023. 3. MANO, L. Y. ; TORRES, A. M. ; GIRALDO, A. ; CRUZ, C. C. P. ; CARDOSO, F. H. ; ALVES, S. H. ; FARIA, C. O. ; LANZILLOTTI, R. S. ; CERCEAU, R. ; COSTA, R. M. E. M. ; FIGUEIREDO, K. ; WERNECK, V. M. . Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, v. 16, p. 73, 2023. 4. PINTO, ALISSON DA SILVA ; DA SILVA, PATRÍCIA NUNES ; DE FARIA, CRISTIANE OLIVEIRA ; DOS SANTOS, ANDRÉ LUIZ CORDEIRO . Grupos de Lie e Equações de Riccati. CONTRIBUCIONES A LAS CIENCIAS SOCIALES, v. 16, p. 29872-29878, 2023. 5. DE NEGREIROS, JHOAB PESSOA ; DE MOURA, CARLOS ANTONIO ; DE FARIA, CRISTIANE OLIVEIRA . Numerical algorithms considering a dimensional correction parameter on the fractional order diffusion equation. REVISTA ELETRÔNICA PAULISTA DE MATEMÁTICA, v. 22, p. 102-118, 2022.
Diana Sasaki Nobrega diana.sasaki@ime.uerj.br Lattes	P-MD (COMP) - L3	1. CASTONGUAY, DIANE ; DE FIGUEIREDO, CELINA M.H. ; KOWADA, LUIS A.B. ; PATRÃO, CAROLINE S.R. ; SASAKI, DIANA ; VALENCIA-PABON, MARIO . On the total chromatic number of the direct product of cycles and complete graphs. RAIRO-OPERATIONS RESEARCH, v. 58, p. 1609-1632, 2024. 2. CASTONGUAY, D. ; DE FIGUEIREDO, C.M.H. ; KOWADA, L.A.B. ; PATRÃO, C.S.R. ; SASAKI, D. . On total coloring the direct product of cycles and bipartite direct product of graphs. DISCRETE MATHEMATICS, v. 346, p. 113340, 2023. 3. FARIA, LUERBIO ; NIGRO, MAURO ; PREISSMANN, MYRIAM ; SASAKI, DIANA . Results about the total chromatic number and the conformability of some families of circulant graphs. DISCRETE APPLIED MATHEMATICS, v. 340, p. 123-133, 2023. 4. PALMA, MIGUEL A.D.R. ; GONÇALVES, ISABEL F.A. ; SASAKI, DIANA ; DANTAS, SIMONE . On total coloring and equitable total coloring of infinite snark families. RAIRO-OPERATIONS RESEARCH, v. 57, p. 2619-2637, 2023. 5. PALMA, MIGUEL A.D.R. ; DANTAS, SIMONE ; SASAKI, DIANA . Kochol superposition of Goldberg with Semi-blowup snarks is Type 1. PROCEDIA COMPUTER SCIENCE, v. 223, p. 250-257, 2023.
Fabiano de Souza Oliveira fabiano.oliveira@ime.uerj.br Lattes • Site Pessoal	P-MD (COMP) - L3	1. BONOMO'BRABERMAN, FLAVIA ; NASCIMENTO, J. R. ; OLIVEIRA, F. S. ; SOUZA, UÉVERTON S. ; SZWARCFITER, JAYME L. . Linear-time algorithms for eliminating claws in graphs. International Transactions in Operational Research, v. 31, p. 296-315, 2024. 2. Bonomo-Braberman, Flavia ; BRANDWEIN, ERIC ; Oliveira, Fabiano S. ; SAMPAIO, MOYSES S. ; SANSONE, AGUSTIN ; Szwarcfiter, Jayme L. . Thinness and its variations on some graph families and coloring graphs of bounded thinness. RAIRO-OPERATIONS RESEARCH, v. 58, p. 1681-1702, 2024. 3. DE FIGUEIREDO, CELINA M. H. ; DE MELO, ALEXSANDER A. ; Oliveira, Fabiano S. ; SILVA, ANA . Maximum Cut on Interval Graphs of Interval Count Four is NP-Complete. DISCRETE AND COMPUTATIONAL GEOMETRY (INTERNET), v. 1, p. 1-25, 2023. 4. DE FIGUEIREDO, CELINA M. H. ; DE MELO, ALEXSANDER A. ; Oliveira, Fabiano S. ; SILVA, ANA . MaxCut on permutation graphs is NP-complete. JOURNAL OF GRAPH THEORY, v. 104, p. 5-16, 2023. 5. MEDEIROS, LÍVIA ; Oliveira, Fabiano ; SZWARCFITER, JAYME . Relation between classes of graphs with interval count k. Matemática Contemporânea, v. 55, p. 39-47, 2023.
Gilson Alexandre Ostwald Pedro da Costa gilson.costa@ime.uerj.br Lattes	P-MD (COMP) - L2	1. MARTINEZ, JORGE ANDRES CHAMORRO ; DA COSTA, GILSON A. OSTWALD PEDRO ; MESSIAS, CASSIANO GUSTAVO ; SOLER, LUCIANA DE SOUZA ; DE ALMEIDA, CLAUDIO A. ; Feitosa, Raul Queiroz . Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 210, p. 110-127, 2024. 2. VEGA, PEDRO JUAN SOTO ; PAPADAKIS, PANAGIOTIS ; MATABOS, MARJOLAINE ; VAN AUDENHAEGE, LOÏC ; RAMIERE, ANNAH ; SARRAZIN, JOZÉE ; da Costa, Gilson Alexandre Ostwald Pedro . Convolutional neural networks for hydrothermal vents substratum classification: An introspective study. Ecological Informatics, v. 80, p. 102535, 2024. 3. ORTEGA ADARME, M. X. ; SOTO VEGA, P. J. ; COSTA, G. A. O. P. ; Feitosa, R. Q. ; Heipke, C. . A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLVIII-M-1-2023, p. 217-223, 2023. 4. VEGA, PEDRO JUAN SOTO ; da Costa, Gilson Alexandre Ostwald Pedro ; ADARME, MABEL XIMENA ORTEGA ; CASTRO, JOSÉ DAVID BERMÚDEZ ; Feitosa, Raul Queiroz . Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 16, p. 10264-10278, 2023. 5. AYMA QUIRITA, VICTOR ANDRES ; COSTA, G.A.O.P. ; BELTRAN, C. . A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data. Remote Sensing, v. 14, p. 1-22, 2022.
Guilherme Lucio Abelha Mota guimota@ime.uerj.br Lattes • Site Pessoal	P-M (COMP) - L2	1. DE ANDRADE, RENAN ; MOTA, GUILHERME ; DA COSTA, GILSON . Deforestation Detection in the Amazon Using DeepLabv3+ Semantic Segmentation Model Variants. Remote Sensing, v. 14, p. 4694, 2022. Citações:14\|16 2. Filippo, M. P. ; GOMES, O. da F. M. ; COSTA, G. A. O. P. ; Mota, Guilherme Lucio Abelha . Deep learning semantic segmentation of opaque and non-opaque minerals from epoxy resin in reflected light microscopy images. MINERALS ENGINEERING, v. 170, p. 107007, 2021. Citações:18\|22 3. ANDRADE, R. B. ; COSTA, G. A. O. P. ; MOTA, G. L. A. ; ORTEGA, M. X. ; FEITOSA, R. Q. ; SOTO, P. J. ; HEIPKE, C. . EVALUATION OF SEMANTIC SEGMENTATION METHODS FOR DEFORESTATION DETECTION IN THE AMAZON. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLIII-B3-2020, p. 1497-1505, 2020. Citações:13 4. ANDRADE, R. B. ; SANTOS, J. M. F. ; COSTA, G. A. O. P. ; MOTA, G. L. A. ; HAPP, P. N. ; FEITOSA, R. Q. . A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, v. IV-2/W7, p. 3-8, 2019. 5. Rotunno, M. E. ; MOTA, G. L. A. . Método semiautomático para restituição interativa de estradas. RBC. REVISTA BRASILEIRA DE CARTOGRAFIA (ONLINE), v. 70, p. 555-581, 2018.
Igor Machado Coelho igor.machado@ime.uerj.br Lattes • Site Pessoal	P-MD (COMP) - L3	1. PORUMBEL, DANIEL ; COELHO, IGOR M. ; TALBI, EL-GHAZALI . Using an exact bi-objective decoder in a memetic algorithm for arc-routing (and other decoder-expressible) problems. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v. 313, p. 25-43, 2024. 2. MARQUES, ELIAS L. ; COELHO, VITOR N. ; COELHO, IGOR M. ; SATORU OCHI, LUIZ ; MACULAN, NELSON ; MLADENOVI', NENAD ; Coelho, Bruno N. . A two-phase multi-objective metaheuristic for a green UAV grid routing problem. Optimization Letters, v. 17, p. 2233-2256, 2023. Citações:2 3. MARQUES, ELIAS L. ; COELHO, VITOR N. ; COELHO, IGOR M. ; FROTA, YURI A. DE M. ; KOOCHAKSARAEI, ROOZBEH H. ; OCHI, LUIZ SATORU ; Coelho, Bruno N. . UAVs routes optimization on smart cities and regions. RAIRO-OPERATIONS RESEARCH, v. 56, p. 853-869, 2022. 4. NASCIMENTO SILVA, JANIO CARLOS ; COELHO, I. M. ; SOUZA, UEVERTON S. ; OCHI, L. S. ; COELHO, VITOR N. . Finding the Maximum Multi Improvement on neighborhood exploration. Optimization Letters, v. 16, p. 97-115, 2022. 5. COELHO, VITOR N. ; OLIVEIRA, THAYS A. ; TAVARES, WELLINGTON ; COELHO, IGOR M. . Smart Accounts for Decentralized Governance on Smart Cities. Smart Cities, v. 4, p. 881-893, 2021.
Jayme Luiz Szwarcfiter jayme@ime.uerj.br Lattes • Site Pessoal	P-MD (COMP) - L3	1. BONOMO-BRABERMAN, F. ; NASCIMENTO, J. R. ; OLIVEIRA, F. S. ; SOUZA, U. S. ; SZWARCFITER, J. L. . Linear¿time algorithms for eliminating claws in graphs. International Transactions in Operational Research, v. 31, p. 296-315, 2024. 2. BONOMO-BRABERMAN, F. ; BRANDWEIN, E. ; OLIVEIRA, F. S. ; SANSONE, A. ; Szwarcfiter, J. L. . Thinness and its variations on some graph families and coloring graphs of bounded thinness. RAIRO-OPERATIONS RESEARCH, v. 58, p. 1681-1702, 2024. 3. BORNSTEIN, C. F. ; MORGENSTERN, G. ; SANTOS, T. D. ; SOUZA, U. ; SZWARCFITER, J. L. . Helly and Strong Helly Numbers of $B_k$-EPG and $B_k$-VPG Graphs. Discussiones Mathematicae Graph Theory, v. 43, p. 1237-1252, 2023. 4. GOMES, G. C. M. ; MASQUIO, B. P. ; PINTO, P. E. D. ; SANTOS, V. F. ; SZWARCFITER, J. L. . Disconnected Matchings. THEORETICAL COMPUTER SCIENCE, v. 956, p. 113821, 2023. 5. MEDEIROS, L. S. ; OLIVEIRA, F. S. ; Szwarcfiter, J. L. . Relation among classes with interval count k. Matemática Contemporânea, v. 55, p. 39-47, 2023.
Karla Tereza Figueiredo Leite karlafigueiredo@ime.uerj.br Lattes	P-MD (COMP) - L1 e L2	1. SILVA, ANDREIA FERREIRA DA ; Figueiredo, Karla ; FALCÃO, IGOR W. S. ; COSTA, FERNANDO A. R. ; DA ROCHA SERUFFO, MARCOS CÉSAR ; DE MORAES, CARLA CRISTINA GUIMARÃES . Study of machine learning techniques for outcome assessment of leptospirosis patients. Scientific Reports, v. 14, p. 1, 2024. 2. FALCAO, IGOR WENNER SILVA ; CARDOSO, DIEGO LISBOA ; COUTINHO DOS SANTOS SANTOS, ALBERT EINSTEIN ; PAIXAO, ERMINIO ; COSTA, FERNANDO AUGUSTO R. ; Figueiredo, Karla ; CARNEIRO, SAUL ; SERUFFO, MARCOS CÉSAR DA ROCHA . Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques. PEERJ COMPUTER SCIENCE, v. 10, p. e2246, 2024. 3. MOGAMI, ROBERTO ; CHANTONG, CAROLINA GIANELLA COBO ; GRISOLIA, ALEXANDRA MARIA MONTEIRO ; TAVARES, BRENO BRANDÃO ; SIERPE, OTTON CAVALCANTE ; LOPES, AGNALDO JOSÉ ; DOS SANTOS, GLENDA APARECIDA PERES ; DA COSTA, HANNA DA SILVA BESSA ; LEITE, KARLA TEREZA FIGUEIREDO . Identificação de padrões covid-19 pós-agudos em tomografia usando inteligência artificialIdentification of postacute COVID-19 patterns in tomography using artificial intelligenceIdentificación de patrones COVID-19 post-agudos en tomografía utilizando inteligencia artificial. journal of health informatics, v. 16, p. 1, 2024. 4. FARIAS, LEONARDO COSTA ; DUARTE, BERNARDO DA EIRA ; LEITE, KARLA TEREZA FIGUEIREDO . Gestão de riscos para Lei Geral de Proteção de DadosRisk management for General Data Protection RegulationGestión de riesgos para la Ley General de Protección de Datos. journal of health informatics, v. 16, p. 1, 2024. 5. SENA, ALEXANDRE DA COSTA ; AZEVEDO, ALEXANDRE RIBEIRO FERNANDES ; MENDES, GABRIEL PEREIRA ; Figueiredo, Karla ; PÔRTO, LUÍS CRISTÓVÃO MORAES SOBRINO . Algoritmo de pareamento para geração de base homogênea para estudo de caso-controleMatching algorithm for homogeneous base generation for case-control studyAlgoritmo de coincidencia para generación de bases homogéneas para estudio de casos y controles. journal of health informatics, v. 16, p. 1, 2024.
Luerbio Faria luerbio@ime.uerj.br Lattes	P-MD (COMP) - L3	1. Coelho E. M. M. ; COELHO, H. ; FARIA, L. ; Ferreira, M. P. ; GRAVIER, S. ; KLEIN, S. . On the oriented coloring of the disjoint union of graphs. RAIRO-OPERATIONS RESEARCH, v. 58, p. 579-590, 2024. 2. ALVES, SANCREY R. ; Couto, Fernanda ; FARIA, LUERBIO ; GRAVIER, Sylvain ; KLEIN, Sulamita ; SOUZA, UÉVERTON S. . Partitions and well-coveredness: The graph sandwich problem. DISCRETE MATHEMATICS, v. 346, p. 113253, 2023. 3. FARIA, LUERBIO; NIGRO, MAURO ; SASAKI, DIANA . On the conformability of regular line graphs. RAIRO-OPERATIONS RESEARCH, v. 57, p. 2527-2536, 2023. 4. FARIA, LUERBIO; NIGRO, MAURO ; PREISSMANN, MYRIAM ; SASAKI, DIANA . Results about the total chromatic number and the conformability of some families of circulant graphs. DISCRETE APPLIED MATHEMATICS, v. 340, p. 123-133, 2023. 5. FARIA, LUERBIO; SOUZA, UÉVERTON S. . On the probe problem for (r,¿)-well-coveredness: Algorithms and complexity. THEORETICAL COMPUTER SCIENCE, v. 932, p. 56-68, 2022.
Marcelo Schots de Oliveira schots@ime.uerj.br Lattes	P-M (COMP) - L1	1. MARINHO, LEONARDO LIMA ; SANTOS, SUELEN REGINA C. DOS ; ANDRADE, LEONARDO ; CONS, BRUNA COSTA ; SCHOTS, MARCELO ; WERNECK, VERA MARIA . Scrumie: Scrum Teaching Agen t Oriented Game. REVISTA DE INFORMÁTICA TEÓRICA E APLICADA: RITA, v. 27, p. 140-152, 2020. 2. LAU DE ALMEIDA, MICHELLE ; FERNANDES DA SILVA, VANESSA ; OLIVEIRA DE SOUZA, ISABELLE BARBALHO ; SCHOTS, MARCELO ; GONZÁLEZ ARENAS, ZOCHIL . IMPLEMENTAÇÃO DA FATORAÇÃO DE CHOLESKY COM ÊNFASE EM SUA REPRESENTAÇÃO VISUAL. Cadernos do IME ? Série Matemática, v. 1, p. 24-39, 2020. 3. de MELLO, R. M. ; TEIXEIRA, E. ; SCHOTS, M. ; WERNER, C. M. L. ; Travassos, G. H. . Verification of Software Product Line Artefacts: A Checklist to Support Feature Model Inspections. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, v. 20, p. 720-745, 2014. 4. WERNER, C. M. L. ; CORREA, C. K. F. ; SANTOS, R. P. ; SCHOTS, M. ; MURTA, L. G. P. ; LYRA, F. . Adoption of Configuration Management in the Industry: Strategies and Lessons Learned. CLEI ELECTRONIC JOURNAL, v. 13, p. 1-11, 2010.
Maria Clícia Stelling de Castro clicia@ime.uerj.br Lattes	P-MD (COMP) - L3	1. ALMENARA VENTURA ALVES, RAFAEL ; BENTES, Cristiana ; S. CASTRO, MARIA CLICIA . Parallel implementations of TSP brute force algorithm. CADERNOS DO IME. SÉRIE INFORMÁTICA, v. 49, p. 97-112, 2024. 2. Castro, Maria Clicia Stelling de; VASCONCELOS SAMPAIO, EDUARDO . Logística Reversa: Modelagem Baseada em Lógica Fuzzy para o E-commerce. CADERNOS DO IME. SÉRIE INFORMÁTICA, v. 49, p. 132-156, 2024. 3. BRUM, R. C. ; DE CASTRO, M. C. S. ; FARIA, C. O. . The Impact of Compilation Flags and Choosing Single- or Double-Precision Variables in Linear Systems Solvers. Trends in Computational and Applied Mathematics, v. 24, p. 319-335, 2023. 4. Motta, Art A. E. A. ; CASTRO, MARIA CLICIA S. ; SILVA, D. ; Cortez, Célia . A mathematical model to estimate binding sites for ligands in HSA and BSA based on spectrofluorimetry. JOURNAL OF MOLECULAR STRUCTURE, v. 1223, p. 129224, 2021. Citações:5 5. KALIL, CAMILA DE ANDRADE ; DE CASTRO, MARIA CLÍCIA STELLING ; SILVA, DILSON ; CORTEZ, CÉLIA MARTINS . Applying Graph Theory and Mathematical-Computational Modelling to Study a Neurophysiological Circuit. OPEN JOURNAL OF MODELLING AND SIMULATION (PRINT), v. 09, p. 159-171, 2021.
Patricia Nunes da Silva nunes@ime.uerj.br Lattes	P-MD (MAT.AP) - L4	1. MARTINS, PATRICIA REIS ; DA SILVA, PATRÍCIA NUNES ; Vasconcellos, Carlos Frederico ; LANZILLOTTI, REGINA SERRÃO . Analysis of a portfolio selection model at three-moments. OBSERVATORIO DE LA ECONOMÍA LATINOAMERICANA, v. 22, p. e3216-27, 2024. 2. DA SILVA, PATRÍCIA NUNES. Roberval e a quadratriz: um estudo sobre curvas. CADERNO PEDAGÓGICO (LAJEADO. ONLINE), v. 21, p. 952-963, 2024. 3. MENDONÇA, RAQUEL GOMES ROSA DE ; CARVALHO, JOÃO BOSCO PITOMBEIRA FERNANDES DE ; SILVA, PATRÍCIA NUNES DA . As escolas de ábaco e a expansão dos algarismos indo-arábicos na Europa ocidental. REVISTA BRASILEIRA DE HISTÓRIA DA MATEMÁTICA, v. 24, p. 58-74, 2024. 4. OLIVEIRA, N. J. ; SILVA, P. N. . Um modelo SIR e o teste de Routh-Hurwitz. REVISTA BRASILEIRA DE INICIAÇÃO CIENTÍFICA, v. 11, p. 1-24, 2024. 5. MARTINS, P. R. ; NUNES, P. S. ; VASCONCELLOS, C. F. . A Maximização da Assimetria na Seleção de Carteiras de Investimento e a Generalização do Modelo para Momentos Ímpares de Ordem Superior. Trends in Computational and Applied Mathematics, v. 24, p. 411-426, 2023.
Paulo Eustaquio Duarte Pinto pauloedp@ime.uerj.br Lattes • Site Pessoal	P-M (COMP) - L3	1. LIN, MIN C. ; Oliveira, Fabiano S. ; Pinto, Paulo E. D. ; SAMPAIO, MOYSÉS S. ; Szwarcfiter, Jayme L. . Restricted Hamming-Huffman trees. RAIRO-OPERATIONS RESEARCH, v. 56, p. 1823-1839, 2022. 2. PINTO, P. E. D.. Codes for Compression and Error Detection. Cadernos do IME - Série Informática, v. 47, p. 1-4, 2022. 3. LUIZ DE JESUS GOULART, JORGE ; DE SOUZA OLIVEIRA, FABIANO ; EUSTÁQUIO DUARTE PINTO, PAULO ; ORESTES DE SALVO CASTRO, ANTÔNIO . Uma avaliação sistemática de aprendizagem e usabilidade para o TuPy online. RENOTE. REVISTA NOVAS TECNOLOGIAS NA EDUCAÇÃO, v. 19, p. 457-466, 2021. 4. SOUZA, RAQUEL M. ; Oliveira, Fabiano S. ; Pinto, Paulo E. D. . Uma Nova Proposta para a Obtenção da Complexidade de Pior Caso do ShellSort. TENDÊNCIAS EM MATEMÁTICA APLICADA E COMPUTACIONAL, v. 20, p. 457, 2019. 5. ZUDIO, ANDERSON ; DA SILVA COSTA, DANIEL HENRIQUE ; MASQUIO, BRUNO PORTO ; COELHO, IGOR M. ; PINTO, PAULO EUSTÁQUIO DUARTE . BRKGA/VND Hybrid Algorithm for the Classic Three-dimensional Bin Packing Problem. ELECTRONIC NOTES IN DISCRETE MATHEMATICS, v. 66, p. 175-182, 2018.
Regina Serrão Lanzillotti reginalanzillotti@ime.uerj.br Lattes	P-MD (EST) - L4	1. MARTINS, PATRICIA REIS ; DA SILVA, PATRÍCIA NUNES ; VASCONCELLOS, CARLOS FREDERICO ; LANZILLOTTI, REGINA SERRÃO . Analysis of a portfolio selection model at three-moments. OBSERVATORIO DE LA ECONOMÍA LATINOAMERICANA, v. 22, p. e3216, 2024. 2. BRANDÃO, EUZELI DA SILVA ; LANZILLOTTI, REGINA SERRÃO ; GRANJA, PAULA DADALTI ; SILVA, LILIANE FARIA ; MANDELBAUM, MARIA HELENA SANT?ANA ; TONOLE, RENATO . Associação entre lesão cutânea e importância atribuída à prevenção pelos profissionais de saúde na pandemia. REVISTA GAÚCHA DE ENFERMAGEM, v. 45, p. 1-12, 2024. 3. BARROS, P. H. A. ; LANZILLOTTI, R. S. . Análise de desempenho estudantil mediante técnicas estatísticas. Sevened, v. 1, p. 1-12, 2024. 4. MANO, LEANDRO Y. ; TORRES, ALESSON M. ; MORALES, ANDRES GIRALDO ; CRUZ, CARLA CRISTINA P. ; CARDOSO, FABIO H. ; ALVES, SARAH HANNAH ; FARIA, CRISTIANE O. ; LANZILLOTTI, REGINA ; CERCEAU, RENATO ; DA COSTA, ROSA MARIA E. M. ; FIGUEIREDO, KARLA ; WERNECK, VERA MARIA B. . Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, v. 16, p. 73-2-24, 2023. 5. BRANDÃO, EUZELI DA SILVA ; URASAKI, MARISTELA BELLETTI MUTT ; LANZILLOTTI, REGINA SERRÃO ; SANTO, FÁTIMA HELENA ESPÍRITO ; AZEVEDO, BRUNA GUEDES BRASIL DE . Panorama dos cursos de especialização em enfermagem dermatológica no Brasil [Overview of specialization courses in dermatological nursing in Brazil] [Panorama de los cursos de especialización en enfermería dermatológica en Brasil]. REVISTA ENFERMAGEM UERJ, v. 31, p. e73492, 2023.
Ricardo Carvalho de Barros dickbarros.apple@gmail.com Lattes	P-MD (FIS) - L2	1. MORAES, LEONARDO R.C. ; PATEL, JAPAN K. ; Barros, Ricardo C. ; VASQUES, RICHARD . A hybrid Analytical Discrete Ordinates-Response Matrix Constant Nodal method for one-speed X, Y-geometry transport problems. PROGRESS IN NUCLEAR ENERGY, v. 168, p. 104985, 2024. 2. MORAES, LEONARDO R.C. ; Barros, Ricardo C. ; VASQUES, RICHARD . Generating optimal configurations for neutron source distribution in subcritical systems. A linear-programming approach. ANNALS OF NUCLEAR ENERGY, v. 208, p. 110718-110731, 2024. 3. MORAES, LEONARDO R.C. ; VASQUES, RICHARD ; Barros, Ricardo C. . On the occurrence of linearly dependent eigenvectors in nonclassical transport calculations. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, v. 295, p. 108407, 2023. 4. MORAES, LEONARDO R.C ; Barros, Ricardo C. ; VASQUES, RICHARD . On a Response Matrix Solver for Slab-Geometry Neutral Particle Transport Problems in the Discrete Ordinates and Energy Multigroup Formulations Considering Non-Uniform Interior Sources. Journal of Computational and Theoretical Transport, v. 1, p. 1-23, 2023. 5. MORAES, L.R.C. ; FILHO, H. ALVES ; BARROS, R.C. . On the calculation of neutron sources generating steady prescribed power distributions in subcritical systems using multigroup X,Y-geometry discrete ordinates models. ANNALS OF NUCLEAR ENERGY, v. 168, p. 108854, 2022.
Rosa Maria Esteves Moreira da Costa rcosta@ime.uerj.br Lattes	P-M (COMP) - L1	1. JAMBO, CLAUDIO H. M. ; WERNECK, VERA MARIA B. ; da Costa, R.M.E.M. . Virtual Reality System Controlled by Embedded ArtificialIntelligence for Supporting Phobia Treatment. JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY (IMPRESSO), v. 30, p. 569-583, 2024. 2. MANO, LEANDRO Y. ; TORRES, ALESSON M. ; MORALES, ANDRES GIRALDO ; CRUZ, CARLA CRISTINA P. ; CARDOSO, FABIO H. ; ALVES, SARAH HANNAH ; FARIA, CRISTIANE O. ; LANZILLOTTI, REGINA ; CERCEAU, RENATO ; DA COSTA, ROSA MARIA E. M. ; FIGUEIREDO, KARLA ; WERNECK, VERA MARIA B. . Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, v. 16, p. 73, 2023. 3. LUNA NETO, R. T. ; NASCIMENTO, D. E. M. ; SOUZA, K. F. F. ; COSTA, H. K. S. ; ARAUJO, A. S. ; SANTOS, Z. M. S. A. ; COSTA, R. M. E. M. ; WERNECK, VERA MARIA B. . Desenvolvimento de um aplicativo móvel à luz da Classificação Internacional para a Prática de Enfermagem em Saúde Coletiva ? CIPESC®. REVISTA PRÓ-UNIVERSUS, v. 14, p. 140-151, 2023. 4. SANTORO, FLÁVIA MARIA ; COSTA, ROSA MARIA E. MOREIRA DA . Towards Ethics in Information Systems. Journal on Interactive Systems, v. 12, p. 69-82, 2021. 5. SANTORO, Flavia Maria ; REVOREDO, K. C. ; COSTA, R. M. E. M. ; BARBOZA, T. M. . Process Mining Techniques in Internal Auditing: A Stepwise Case Study. iSys - Revista Brasileira de Sistemas de Informação, v. 13, p. 48-76, 2020.
Roseli Suzi Wedemann roseli@ime.uerj.br Lattes	P-MD (COMP) - L2 e L4	1. PLASTINO, ANGEL R. ; Wedemann, Roseli S. . Evolution Equations Exhibiting H-Theorems related to the LMC Statistical Measures of Complexity. JOURNAL OF PHYSICS. CONFERENCE SERIES (PRINT), v. 2839, p. 012017, 2024. 2. Wedemann, Roseli S.; Plastino, Angel R. ; Tsallis, Constantino ; Curado, E.M.F. . Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks. Lecture Notes in Computer Science, v. 15019, p. 137-150, 2024. 3. MORENO-JIMÉNEZ, LUIS-GIL ; TORRES-MORENO, JUAN-MANUEL ; WEDEMANN, ROSELI SUZI. . Automatic Generation of Literary Sentences in French. Algorithms, v. 16, p. 142-142-12, 2023. 4. Wedemann, Roseli S.; Plastino, Angel R. . Generalized Thermostatistics and the Nonequilibrium Landscape Description of Neural Network Dynamics. Lecture Notes in Computer Science, v. 14258, p. 300-311, 2023. 5. PLASTINO, A.R. ; TSALLIS, C. ; WEDEMANN, R.S. . A family of nonlinear diffusion equations related to the q-error function. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 1, p. 129475, 2023.
Vera Maria Benjamim Werneck vera@ime.uerj.br Lattes	P-MD (COMP) - L1	1. MANO, LEANDRO Y. ; TORRES, ALESSON M. ; MORALES, ANDRES GIRALDO ; CRUZ, CARLA CRISTINA P. ; CARDOSO, FABIO H. ; ALVES, SARAH HANNAH ; FARIA, CRISTIANE O. ; LANZILLOTTI, REGINA ; CERCEAU, RENATO ; DA COSTA, ROSA MARIA E. M. ; FIGUEIREDO, KARLA ; WERNECK, VERA MARIA B. . Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, v. 16, p. 73, 2023. Citações:1\|1 2. DA CRUZ, IVANA DA CONCEIÇÃO ESPIRITO SANTO ; FARIA, MAGDA GUIMARÃES DE ARAUJO ; WERNECK, VERA MARIA BENJAMIM ; E ALVES, LUCAS GONÇALVES . APLICATIVOS MÓVEIS PARA MANEJO CLÍNICO NA ATENÇÃO PRIMÁRIA SOBRE CLIMATÉRIO E MENOPAUSA: REVISÃO INTEGRATIVA EM LOJAS DE APLICATIVOS MÓVEIS. CONTEMPORÂNEA - REVISTA DE ÉTICA E FILOSOFIA POLÍTICA, v. 3, p. 32113-32127, 2023. 3. LUNA NETO, R. T. ; NASCIMENTO, D. E. M. ; SOUZA, K. F. F. ; COSTA, H. K. S. ; ARAUJO, A. S. ; COSTA, R. M. E. M. ; SANTOS, Z. M. S. A. ; WERNECK, VERA M. B. . Desenvolvimento de um aplicativo móvel à luz da Classificação Internacional para a Prática de Enfermagem em Saúde Coletiva ? CIPESC®. REVISTA PRÓ-UNIVERSUS, v. 14, p. 140-151, 2023. 4. MATTOS, ANDRESSA SILVA PEREIRA XAVIER DE ; PIMENTEL, MARIA REGINA ARAUJO REICHERTE ; WERNECK, VERA MARIA BENJAMIM ; PEREIRA, RAFAEL DE SOUZA ; SILVA, FRANCES VALÉRIA COSTA E ; LINS, SÍLVIA MARIA DE SÁ BASÍLIO ; TEIXEIRA, ELIZABETH ; SILVA, ARISON CRISTIAN DE PAULA ; OLIVEIRA, THAÍS DE MEDEIROS ; FERREIRA, CÉLIA REGINA GONÇALVES . Validação de aplicativo para dispositivo móvel para pacientes em Diálise Peritoneal e cuidadores. RESEARCH, SOCIETY AND DEVELOPMENT, v. 11, p. e40711528364, 2022. 5. MARINHO, LEONARDO LIMA ; SANTOS, SUELEN REGINA C. DOS ; ANDRADE, LEONARDO ; CONS, BRUNA COSTA ; SCHOTS, MARCELO ; Werneck, VERA MARIA . Scrumie: Scrum Teaching Agent Oriented Game. REVISTA DE INFORMÁTICA TEÓRICA E APLICADA: RITA, v. 27, p. 140-152, 2020.
Vinicius Layter Xavier viniciuslx@ime.uerj.br Lattes	P-MD (EST) - L2 e L4	1. RAMIREZ, LENNIN MALLMA ; MACULAN, NELSON ; Xavier, Adilson Elias ; Xavier, Vinicius Layter . Duality in convex optimization for the hyperbolic augmented Lagrangian. BOLETÍN DE LA SOCIEDAD MATEMÁTICA MEXICANA (ONLINE), v. 30, p. 1-24, 2024. 2. MALLMA RAMIREZ, LENNIN ; MACULAN, NELSON ; ELIAS XAVIER, ADILSON ; LAYTER XAVIER, VINICIUS . Dislocation hyperbolic augmented Lagrangian algorithm in convex programming. International Journal Of Optimization And Control-Theories & Applications-Ijocta, v. 14, p. 147-155, 2024. 3. RAMIREZ, LENNIN MALLMA ; MACULAN, NELSON ; Xavier, Adilson Elias ; Xavier, Vinicius Layter . A constraint qualification for the dislocation hyperbolic augmented Lagrangian algorithm. Results in Control and Optimization, v. 5, p. 100429, 2024. 4. RAMIREZ, LENNIN MALLMA ; MACULAN, NELSON ; Xavier, Adilson Elias ; Xavier, Vinicius Layter . Global convergence of dislocation hyperbolic augmented Lagrangian algorithm for nonconvex optimization. OPTIMIZATION, v. 1, p. 1-22, 2024. 5. GOULART, JORGE LUIZ DE JESUS ; PROVENZA, MARCELLO MONTILLO ; Xavier, Vinicius Layter ; LIMA, IGOR CAMPOS DE ALMEIDA ; SIMÕES, PAULO HENRIQUE COUTO ; SIQUEIRA, JULIO CESAR . Previsões de séries temporais para os crimes de letalidade violenta no Rio de Janeiro através dos modelos de estado e suavização exponencial, ARIMA e redes neurais autorregressivas. CADERNO PEDAGÓGICO (LAJEADO. ONLINE), v. 21, p. e8626, 2024.
Zochil Gonzalez Arenas zochil@ime.uerj.br Lattes	P-MD (FIS) - L2 e L4	1. LAU, MICHELLE ; ARENAS, ZOCHIL GONZALEZ . Stochastic Modeling of a Measles Outbreak in Brazil. Trends in Computational and Applied Mathematics, v. 24, p. 459-473, 2023. 2. Arenas, Zochil González; JIMENEZ, JUAN CARLOS ; LOZADA-CHANG, LI-VANG ; SANTANA, ROBERTO . Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes. MATHEMATICS AND COMPUTERS IN SIMULATION, v. 187, p. 449-467, 2021. 3. MORENO, MIGUEL V. ; BARCI, D. G. ; Zochil González Arenas . State-dependent diffusion in a bistable potential: Conditional probabilities and escape rates. PHYSICAL REVIEW E, v. 101, p. 062110, 2020. 4. LAU DE ALMEIDA, MICHELLE ; FERNANDES DA SILVA, VANESSA ; OLIVEIRA DE SOUZA, ISABELLE BARBALHO ; SCHOTS, MARCELO ; GONZÁLEZ ARENAS, ZOCHIL . IMPLEMENTAÇÃO DA FATORAÇÃO DE CHOLESKY COM ÊNFASE EM SUA REPRESENTAÇÃO VISUAL. Cadernos do IME ? Série Matemática, v. 14, p. 24-39, 2020. 5. MORENO, MIGUEL V. ; BARCI, D. G. ; Zochil González Arenas . Conditional probabilities in multiplicative noise processes. PHYSICAL REVIEW E, v. 99, p. 032125, 2019.

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