Membro | Nome | Vínculo (Área) - Linha Principal | Publicações recentes |
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Alexandre da Costa Sena asena@ime.uerj.br Lattes | P-MD (COMP) - L3 | 1. DA SILVA, JOSE SAMUEL ; VISENTAINER, JEANE ELIETE LAGUILA ; FABRETI'OLIVEIRA, RAQUEL APARECIDA ; DE SOUZA, FELIPE CARLOS BRITO ; SILVA, MARCIO NOGUEIRA PEREIRA ; DA COSTA SENA, ALEXANDRE; GOLDENSTEIN, MONICA ; CLAUDINO, RENATA ESTERQUE ; DE SOUZA MENDONÇA'MATTOS, PATRICIA JEANNE ; MOTTA, JULIANA PESSANHA RODRIGUES ; SECCO, DANIELLE ANGST ; OLIVEIRA, DANIELLI ; PORTO, LUÍS CRISTÓVÃO . Common, Intermediate and Well-Documented HLA Alleles in the Brazilian Population: An Analysis of the Brazilian Bone Marrow Donor Registry (REDOME). HLA, v. 105, p. 1-10, 2025. 2. SENA, ALEXANDRE COSTA; AZEVEDO, ALEXANDRE RIBEIRO FERNANDES ; MENDES, GABRIEL PEREIRA ; FIGUEIREDO, KARLA ; PÔRTO, LUÍS CRISTÓVÃO MORAES SOBRINO . Algoritmo de coincidencia para generación de bases homogéneas para estudio de casos y controles. journal of health informatics, v. 16, p. 1-15, 2024. 3. EDUARDO, FELIPE SANTIAGO CARRARO ; DA SILVA, IGOR DOS SANTOS ROSA ; SOUZA, RENAN PEREIRA ; SENA, ALEXANDRE COSTA. Um workflow para análise evolutiva acelerada de sequências genéticasA workflow for accelerated evolutionary analysis of genetic sequencesUn workflow para el análisis evolutivo acelerado de secuencias genéticas. journal of health informatics, v. 16, p. 1-15, 2024. 4. SILVA, MARCIO NOGUEIRA PEREIRA ; PÔRTO, LUÍS CRISTÓVÃO ; SENA, ALEXANDRE COSTA. Um arcabouço para contagem de alelos nas nuvens computacionais A framework for counting alleles in computational cloudsUna herramienta para contar alelos en nubes computacionales. journal of health informatics, v. 16, p. 1-15, 2024. 5. ULRICHSEN, FELIPE CASSEMIRO ; SENA, ALEXANDRE COSTA ; PORTO, LUÍS CRISTÓVÃO ; FIGUEIREDO, KARLA . Análisis de síntomas de la infección por el virus SARS-CoV-2. journal of health informatics, v. 16, p. 1-15, 2024. 6. JOÃO, MARIO ;SENA, ALEXANDRE COSTA; REBELLO, VINOD E. F. . On closing the inopportune gap with consistency transformation and iterative refinement. PLoS One, v. 18, p. e0287483, 2023 7. MENDES, GABRIEL P. ; PORTO, L. C. ; LIMA, CRISTIANO ; SANTIAGO, HELTON ; ALMEIDA, STEPHANIE ; SENA, ALEXANDRE COSTA. Análise da Prevalência de Alelos HLA em Pacientes com COVID-19. journal of health informatics, v. 15, p. 1, 2023. 8. WERNECK, GUILHERME LOUREIRO ; PORTO, LUÍS CRISTÓVÃO ; SENA, ALEXANDRE COSTA; 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. |
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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. |
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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. 6. Norenberg, João Pedro ; Luo, Roberto ; Lopes, Vinicius Gonçalves ; Peterson, João Victor L.L. ; Cunha, Americo. Nonlinear dynamics of asymmetric bistable energy harvesters. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, v. 257, p. 108542, 2023. 7. Cunha, Americo; Pereira, Marcelo ; Avanço, Rafael ; Tusset, Angelo Marcelo ; Balthazar, José Manoel . ElectroM: ElectroMechanical dynamic code. Software Impacts, v. 17, p. 100533, 2023. 8. Norenberg, João Pedro ; Cunha, Americo ; da Silva, Samuel ; Varoto, Paulo Sergio . Probabilistic maps on bistable vibration energy harvesters. NONLINEAR DYNAMICS, v. 111, p. 20821-20840, 2023. 9. Norenberg, João Pedro ; Cunha Jr, Americo ; Wolszczak, Piotr ; Litak, Grzegorz . Piezomagnetic vibration energy harvester with an amplifier. THEORETICAL & APPLIED MECHANICS LETTERS, v. 13, p. 100478, 2023. 10. Pavlack, B. S. ; Paixão, J. A. S. ; da Silva, Samuel ; Cunha Jr, A. ; Cava, D. G. . Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v. 21, p. 666-682, 2022. 11. Cunha, Americo; da Silva, Luis Fernando Figueira . CRFlowLib - Chemically Reacting Flow Library. Software Impacts, v. 11, p. 100206, 2022. 12. Tosin, Michel ; Dantas, Eber ; Cunha, Americo ; Morrison, Rebecca E. . ARBO: Arbovirus modeling and uncertainty quantification toolbox. Software Impacts, v. 12, p. 100252, 2022. 13. Telles Ribeiro, José Geraldo ; Pereira, Marcelo ; Cunha Jr, A. ; Lovisolo, L. . Controlling chaos for energy harvesting via digital extended time-delay feedback. European Physical Journal-Special Topics, v. 231, p. 1485-1490, 2022. 14. de Lima Gianfelice, Paulo Roberto ; Sovek Oyarzabal, Ricardo ; Cunha, Americo ; Vicensi Grzybowski, Jose Mario ; da Conceição Batista, Fernando ; E. N. Macau, Elbert . The starting dates of COVID-19 multiple waves. CHAOS, v. 32, p. 031101, 2022. 15. Pavlack, Bruna ; Grave, Malú ; Dantas, Eber ; Basilio, Julio ; de la Roca, Leonardo ; Norenberg, João ; Tosin, Michel ; Chaves, Lucas ; Matos, Diego ; Issa, Marcos ; Luo, Roberto ; Guyt, Amanda ; Soares, Luthiana ; Burgos, Rodrigo ; Lovisolo, Lisandro ; Cunha, Americo . EPIDEMIC: Epidemiology Educational Code. Journal of Open Source Education, v. 5, p. 149, 2022. 16. Villani, Luis GG ; da Silva, S. ; Cunha Jr, A. . An optimizationless stochastic volterra series approach for nonlinear model identification. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 44, p. 260, 2022. 17. Norenberg, João Pedro ; Cunha Jr, A. ; da Silva, S. ; Varoto, P. S. . Global sensitivity analysis of asymmetric energy harvesters. NONLINEAR DYNAMICS, v. 109, p. 443-458, 2022. 18. Cunha Jr, A. ; Pereira, Marcelo ; Avanço ; Tusset, A. M. ; Balthazar, J. M. . On the reduction of nonlinear electromechanical systems. MECCANICA, v. 57, p. 2679-2697, 2022. 19. Cunha, Americo; da Conceição Batista, Fernando ; de Lima Gianfelice, Paulo Roberto ; Oyarzabal, Ricardo Sovek ; Grzybowski, Jose Mario Vicensi ; Macau, Elbert E.N. . epidWaves: A code for fitting multi-wave epidemic models. Software Impacts, v. 14, p. 100391, 2022. 20. Cunha Jr, A.. Enhancing the performance of a bistable energy harvesting device via the cross-entropy method. NONLINEAR DYNAMICS (DORDRECHT. ONLINE), v. 103, p. 137-155, 2021. 21. Norenberg, João Pedro ; Peterson, João Victor ; Lopes, Vinicius Gonçalves ; Luo, Roberto ; de la Roca, Leonardo ; Pereira, Marcelo ; Telles Ribeiro, José Geraldo ; Cunha, Americo . STONEHENGE - Suite for nonlinear analysis of energy harvesting systems. Software Impacts, v. 10, p. 100161, 2021. 22. Nispel, A. ; Ekwaro-Osire, S. ; Dias, J. P. ; Cunha Jr, A. . Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS, PART B: MECHANICAL ENGINEERING, v. 7, p. 040901, 2021. |
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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. |
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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. |
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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. |
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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. 6. NEGREIROS, J. P. ; LANZILLOTTI, R. S. ; FARIA, C.O. . Evasão no Ensino Superior em cursos presenciais: uma proposta preventiva por meio de um tratamento estatístico. REVISTA IBERO-AMERICANA DE ESTUDOS EM EDUCAÇÃO, v. 1, p. 637-648, 2021. |
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Diana Sasaki Nobrega diana.sasaki@ime.uerj.br Lattes | P-MD (COMP) - L3 | 1. ADAUTO, MATHEUS ; DE FIGUEIREDO, CELINA ; HURLBERT, GLENN ; SASAKI, DIANA . On the pebbling numbers of Flower, Blanu?a and Watkins snarks. DISCRETE APPLIED MATHEMATICS, v. 361, p. 336-346, 2025. 2. 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. 3. IME, UNIVERSIDADE FEDERAL FLUMINENSE, NITERÓI, RJ, 24210-201, BRAZIL ; PENAO, GIOVANNA A. B. ; PALMA, MIGUEL A. D. R. ; DANTAS, SIMONE ; SASAKI, DIANA ; IME, UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO, RIO DE JANEIRO, RJ, 20550-900, BRAZIL . Type 1 Kochol Superpositions: Goldberg and Loupekine with Blowup and Semiblowup snarks. ARS COMBINATORIA, v. 161, p. 135-157, 2024. 4. 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. 5. 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. 6. 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. 7. 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. 8. FARIA, LUERBIO ; NIGRO, MAURO ; SASAKI, DIANA. On the conformability of regular line graphs. Rairo-Operations Research, v. 57, p. 2527-2536, 2023. 9. ADAUTO, MATHEUS ; MARTINS, MARIANA ; FIGUEIREDO, CELINA ; HURLBERT, GLENN ; SASAKI, DIANA. On the pebbling numbers of some snarks. Matemática Contemporânea, v. 55, p. 86-95, 2023. 10. FUSQUINO, SÉRGIO ; NICODEMOS, DIEGO ; SASAKI, DIANA. On the Firefighter problem of full icosahedral symmetry fullerene graphs. Matemática Contemporânea, v. 55, p. 77-85, 2023. 11. ARAUJO, RIELI ; SASAKI, DIANA. On the equitable total coloring of Loupekine snarks. Matemática Contemporânea, v. 55, p. 124-132, 2023. 12. MARTINS, MARIANA ; COSTA, MARCUS VINICIUS ; DE FIGUEIREDO, CELINA ; SASAKI, DIANA. Hunting a Type 2 fullerene nanodisc. Matemática Contemporânea, v. 48, p. 126-136, 2022. 13. GONÇALVES, ISABEL ; DANTAS, SIMONE ; SASAKI, DIANA. On total coloring of a Superposition snark family. Matemática Contemporânea, v. 48, p. 105-115, 2022. 14. DE FIGUEIREDO, CELINA M.H. ; DE MELO, ALEXSANDER A. ; SASAKI, DIANA; SILVA, ANA . Revising Johnson?s table for the 21st century. DISCRETE APPLIED MATHEMATICS, v. 00, p. 1-17, 2021. 15. DE FIGUEIREDO, C. M. H. ; PATRÃO, C. S. R. ; SASAKI, DIANA; VALENCIA-PABON, M. . On total and edge coloring some Kneser graphs. JOURNAL OF COMBINATORIAL OPTIMIZATION, v. 00, p. 1-17, 2021. 16. DANTAS, SIMONE ; MARINHO, RODRIGO ; PREISSMANN, MYRIAM ; SASAKI, DIANA. New results on Type 2 snarks. Discussiones Mathematicae Graph Theory, v. 00, p. 1-15, 2021. 17. GONÇALVES, ISABEL F.A. ; DANTAS, SIMONE ; SASAKI, DIANA. On equitable total coloring of snarks. PROCEDIA COMPUTER SCIENCE, v. 195, p. 334-342, 2021. 18. NIGRO, MAURO ; ADAUTO, MATHEUS NUNES ; SASAKI, DIANA. On total coloring of 4-regular circulant graphs. PROCEDIA COMPUTER SCIENCE, v. 195, p. 315-324, 2021. 19. CASTONGUAY, D. ; DE FIGUEIREDO, C.M.H. ; KOWADA, L.A.B. ; PATRÃO, C.S.R. ; SASAKI, DIANA; VALENCIA-PABON, M. . On total coloring the direct product of complete graphs. PROCEDIA COMPUTER SCIENCE, v. 195, p. 306-314, 2021. |
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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 LUCA, VITOR TOCCI FERREIRA ; MAZZOLENI, MARÍA PÍA ; DE SOUZA OLIVEIRA, FABIANO; SZWARCFITER, JAYME LUIZ . Characterizations and Clique Coloring of Edge Intersection Graphs on a Triangular Grid. INDIAN JOURNAL OF PURE & APPLIED MATHEMATICS, v. 1, p. 1-21, 2024. 4. 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. 5. 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. 6. MEDEIROS, LÍVIA ;Oliveira, Fabiano ; SZWARCFITER, JAYME . Relation between classes of graphs with interval count k. Matemática Contemporânea, v. 55, p. 39-47, 2023. 7. MEDEIROS, L. S. ; OLIVEIRA, F. S.; SZWARCFITER, J. L. . Relation among classes with interval count k. Matemática Contemporânea, v. 55, p. 39-47, 2023. 8. DE LUCA, VITOR ; Oliveira, Fabiano; SZWARCFITER, JAYME . Sobre Imersão de Árvores em Grades. Matemática Contemporânea, v. 48, p. 201-210, 2022. 9. ALCÓN, LILIANA ; Bonomo-Braberman, Flavia ; MAZZOLENI, MARÍA PÍA ; Oliveira, Fabiano. On PVPG graphs: a subclass of vertex intersection graphs of paths on a grid. Matemática Contemporânea, v. 48, p. 12-21, 2022. 10. FRANCIS, MATHEW C. ; MEDEIROS, LÍVIA S. ; Oliveira, Fabiano S.; Szwarcfiter, Jayme L. . On subclasses of interval count two and on Fishburn?s conjecture. DISCRETE APPLIED MATHEMATICS, v. 1, p. 1, 2022. 11. Bonomo-Braberman, Flavia ; GONZALEZ, CAROLINA L. ; Oliveira, Fabiano S.; JR., MOYSÉS S. SAMPAIO ; Szwarcfiter, Jayme L. . Thinness of product graphs. DISCRETE APPLIED MATHEMATICS, v. 312, p. 52-71, 2022. 12. 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. 13. Bonomo-Braberman, Flavia ; Oliveira, Fabiano S.; SAMPAIO, MOYSÉS S. ; Szwarcfiter, Jayme L. . Precedence thinness in graphs. DISCRETE APPLIED MATHEMATICS, v. 1, p. 1-20, 2021. 14. MARÍN, N. ; RAMÍREZ-VIGUERAS, A. ; SOLÉ-PI, O. ; OLIVEIRA, F.S.; SZWARCFITER, J.L. ; LUCA, V.T.F. ; URRUTIA, J. . Grid straight-line embeddings of trees with a minimum number of bends per path. INFORMATION PROCESSING LETTERS, v. 1, p. 106210, 2021. 15. 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. 16. DE LUCA, VITOR TOCCI FERREIRA ; OLIVEIRA, FABIANO DE SOUZA; SZWARCFITER, JAYME LUIZ . Minimum Number of Bends of Paths of Trees in a Grid Embedding. PROCEDIA COMPUTER SCIENCE, v. 195, p. 118-126, 2021. |
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Gerson Pech pech@uerj.br Lattes | C (FIS) - L2 e L4 | 1. PECH, GERSON; DELGADO, CATARINA . Interference of the management area journals in determining the historically most influential publications in Information Science and Library Science. Informação & Informação (Online), v. 28, p. 453-487, 2024. 2. PECH, GERSON; DELGADO, CATARINA ; SORELLA, SILVIO PAOLO . Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, v. online, p. online, 2022. 3. PECH, GERSON; DELGADO, CATARINA . Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based approach. Journal of Informetrics, v. 15, p. 101161, 2021. 4. PECH, GERSON; DELGADO, CATARINA . Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases. SCIENTOMETRICS, v. 123, p. 223-252, 2020 5. PECH, GERSON; DELGADO, CATARINA . Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields. SCIENTOMETRICS (ONLINE), v. 125, p. 909-924, 2020. |
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Gilson Alexandre Ostwald Pedro da Costa gilson.costa@ime.uerj.br Lattes | P-MD (COMP) - L2 | 1. DE MOURA, LUIZ FERNANDO ; VEGA, PEDRO JUAN SOTO ; da Costa, Gilson Alexandre Ostwald Pedro; MOTA, GUILHERME LUCIO ABELHA . Enhancing Deforestation Detection Through Multi-Domain Adaptation with Uncertainty Estimation. Forests, v. 16, p. 742, 2025. 2. DOS SANTOS, JOSÉ MATHEUS FONSECA ; VEGA, PEDRO JUAN SOTO ; MOTA, GUILHERME LUCIO ABELHA ; da Costa, Gilson Alexandre Ostwald Pedro. Adversarial domain adaptation for deforestation detection in remote sensing imagery. Ecological Informatics, v. 89, p. 103124, 2025. 3. PINHO, MATHEUS FERREIRA COELHO ; MOTA, GUILHERME LUCIO ABELHA ; da Costa, Gilson Alexandre Ostwald Pedro. A Deep Learning Approach to Assist in Pottery Reconstruction from Its Sherds. Heritage, v. 8, p. 167, 2025. 4. DIAS, JEAN A. C. ; GUIMARÃES, PEDRO H. DO V. ; PEREIRA, WILLIANE G. S. ; TAMASAUSKAS, LEONARDO DE O. ; GOMES, MARIVAN S. ; CORRÊA, ALAN B. S. ; FIGUEIREDO, KARLA ; COSTA, GILSON; COSTA, GABRIEL BRITO ; COSTA, FERNANDO A. R. ; SERUFFO, MARCOS C. DA R. . Enhanced Carbon Flux Forecasting via STL Decomposition and Hybrid ARIMA-ES-LSTM Model in Amazon Forest. IEEE Access, v. 13, p. 84713-84726, 2025. 5. OLIVEIRA, M. V. ; COSTA, G.A.O.P.. A Deep Learning Based Asset Allocation Methodology For Investment Portfolio Optimization Under Uncertainties. IOSR JOURNAL OF ECONOMICS AND FINANCE, v. 16, p. 59-70, 2025. 6. 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. 7. SOTO VEGA, PEDRO J. ; LOBO TORRES, DALIANA ; ANDRADE-MIRANDA, GUSTAVO X. ; DA COSTA, GILSON A. O. P.; Feitosa, Raul Queiroz . Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLVIII-3-2024, p. 519-525, 2024. 8. ANTUNES, RODRIGO ; JUNIOR, LUIZ ; COSTA, GILSON; FEITOSA, RAUL ; BIAS, Edilson de Souza ; CEREDA JUNIOR, ABIMAEL ; ALMEIDA, CATHERINE ; LA ROSA, LAURA E. CUÉ ; HAPP, PATRICK ; CHIAMULERA, LEONARDO . Leveraging SAR and Optical Remote Sensing for Enhanced Biomass Estimation in the Amazon with Random Forest and XGBoost Models. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. X-3-2024, p. 21-27, 2024. 9. ORTEGA ADARME, MABEL X. ; DA COSTA, GILSON A. O. P. ; SOTO VEGA, PEDRO J. ; HEIPKE, CHRISTIAN ; Feitosa, Raul Q. . Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. X-3-2024, p. 293-302, 2024. 10. SOTO VEGA, PEDRO J. ; ANDRADE-MIRANDA, GUSTAVO X. ; DA COSTA, GILSON A. O. P.; PAPADAKIS, PANAGIOTIS ; MATABOS, MARJOLAINE ; NAPOLEON, THIBAULT ; KARINE, AYOUB ; FAGUNDES GASPAROTO, HENRIQUE . Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. X-3-2024, p. 387-395, 2024. 11. MARTINS, V. Z. ; MOTA, G. L. A. ; COSTA, G.A.O.P.; VEGA, P. J. S. ; GOMES, O. F. M. . Deep Learning Domain Adaptation Applied for Minerals Semantic Segmentation in Reflected Light Microscopy Images. Preprints, v. 12, p. 1-28, 2024. 12. 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. 13. 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. 14. 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. 15. 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. 16. SOTO, PEDRO J. ; COSTA, GILSON A. ; Feitosa, Raul Q. ; ORTEGA, MABEL X. ; BERMUDEZ, JOSE D. ; TURNES, JAVIER N. . Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests. IEEE Geoscience and Remote Sensing Letters, v. 19, p. 1-5, 2022. 17. SOTO, P. J. ; COSTA, G. A. O. P. ; ORTEGA, M. X. ; BERMUDEZ, J. D. ; FEITOSA, R. Q. . DEFORESTATION DETECTION WITH WEAK SUPERVISED CONVOLUTIONAL NEURAL NETWORKS IN TROPICAL BIOMES. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLIII-B3-2022, p. 713-719, 2022. 18. ORTEGA ADARME, M. X. ; COSTA, G. A. O. P. ; FEITOSA, R. Q. . MULTI-ATTENTION GHOSTNET FOR DEFORESTATION DETECTION IN THE AMAZON RAINFOREST. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. V-3-2022, p. 657-664, 2022. 19. MARTINEZ, J. A. C. ; ADARME, M. X. O. ; TURNES, J. N. ; COSTA, G. A. O. P. ; DE ALMEIDA, C. A. ; FEITOSA, R. Q. . A COMPARISON OF CLOUD REMOVAL METHODS FOR DEFORESTATION MONITORING IN AMAZON RAINFOREST. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLIII-B3-2022, p. 665-671, 2022. 20. 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. 21. FILIPPO, MICHEL PEDRO ; DA FONSECA MARTINS GOMES, OTÁVIO ; da Costa, Gilson Alexandre Ostwald Pedro ; 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. 22. NOA, J. ; SOTO, P. J. ; COSTA, G. A. O. P.; WITTICH, D. ; FEITOSA, R. Q. ; ROTTENSTEINER, F. . ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION FOR DEFORESTATION DETECTION. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. V-3-2021, p. 151-158, 2021. 23. SOTO VEGA, PEDRO JUAN ; Costa, Gilson Alexandre Ostwald Pedro da; Feitosa, Raul Queiroz ; ORTEGA ADARME, MABEL XIMENA ; ALMEIDA, CLAUDIO APARECIDO DE ; HEIPKE, CHRISTIAN ; ROTTENSTEINER, FRANZ . An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 181, p. 113-128, 2021. |
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Guilherme Lucio Abelha Mota guimota@ime.uerj.br Lattes • Site Pessoal | P-M (COMP) - L2 | 1. DE MOURA, LUIZ FERNANDO ; Vega, Pedro Juan Soto ; DA COSTA, GILSON ALEXANDRE OSTWALD PEDRO ; Mota, Guilherme Lucio Abelha . Enhancing Deforestation Detection Through Multi-Domain Adaptation with Uncertainty Estimation. Forests, v. 16, p. 742, 2025. 2. DOS SANTOS, JOSÉ MATHEUS FONSECA ; Vega, Pedro Juan Soto ; Mota, Guilherme Lucio Abelha ; DA COSTA, GILSON ALEXANDRE OSTWALD PEDRO . Adversarial domain adaptation for deforestation detection in remote sensing imagery. Ecological Informatics, v. 89, p. 103124, 2025. 3. PINHO, MATHEUS FERREIRA COELHO ; Mota, Guilherme Lucio Abelha ; DA COSTA, GILSON ALEXANDRE OSTWALD PEDRO . A Deep Learning Approach to Assist in Pottery Reconstruction from Its Sherds. Heritage, v. 8, p. 167, 2025. 4. 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. 5. 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. |
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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. 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. 5. Oliveira, Thays A. ; Gabrich, Yuri B. ; Ramalhinho, Helena ; OLIVER, MIQUEL ; COHEN, MIRI W. ; OCHI, L. S. ; Gueye, Serigne ; PROTTI, FÁBIO ; PINTO, ALYSSON A. ; FERREIRA, DIÓGENES V. M. ; COELHO, I. M. ; COELHO, VITOR N. . Mobility, Citizens, Innovation and Technology in Digital and Smart Cities. Future Internet, v. 12, p. 22-49, 2020. |
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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. 6. LIMA, C. V. G. C. ; RAUTENBACH, D. ; SOUZA, U. ; SZWARCFITER, J. L. . On the computational complexity of the bipartizing matching problem. ANNALS OF OPERATIONS RESEARCH, v. 316, p. 1235-1256, 2022. 7. BONOMO-BRABERMAN, F. ; GONZALEZ, C. L. ; OLIVEIRA, F. S. ; SAMPAIO JR., M. S. ; SZWARCFITER, J. L. . Thinness of product graphs. DISCRETE APPLIED MATHEMATICS, v. 312, p. 52-71, 2022. 8. MARIN, N. ; RAMIREZ-VIGUERAS, A. ; SOLE-PI, O. ; OLIVEIRA, F. S. ; SZWARCFITER, J. L. ; LUCA, V. T. F. ; URRUTIA, J. . Grid straight-line embeddings of trees with a minimum number of bends per path. INFORMATION PROCESSING LETTERS, v. 174, p. 106210, 2022. 9. COELHO, E. M. M. ; COELHO, H. ; NASCIMENTO, J. R. ; SZWARCFITER, J. L. . Geodetic hull number is polynomial time solvable for complementary prisms has been reviewed by our referee.. RAIRO-THEORETICAL INFORMATICS AND APPLICATIONS, v. 56, p. 2022001, 2022. 10. LIN, MIN CHIH ; OLIVEIRA, F. S. ; PINTO, P. E. D. ; SAMPAIO JR, M. S. ; SZWARCFITER, J. L. . Restricted Hamming-Huffman trees. RAIRO-OPERATIONS RESEARCH, v. 56, p. 1823-1839, 2022. 11. FRANCIS, MATHEW C. ; MEDEIROS, LÍVIA S. ; OLIVEIRA, FABIANO S. ; Szwarcfiter, Jayme L.. On subclasses of interval count two and on Fishburn’s conjecture. DISCRETE APPLIED MATHEMATICS, v. 323, p. 236-251, 2022. 12. BONOMO-BRABERMAN, FLAVIA ; OLIVEIRA, FABIANO S. ; SAMPAIO, MOYSÉS S. ; Szwarcfiter, Jayme L. . Precedence thinness in graphs. DISCRETE APPLIED MATHEMATICS, v. 323, p. 76-95, 2022. 13. RODRIGUES, R. F. ; DIAS, B. ; MACULAN, N. ; SZWARCFITER, J. L. . On distance graph coloring problems. International Transactions in Operational Research, v. 28, p. 1213-1241, 2021. 14. LUCA, V. T. F. ; OLIVEIRA, F. S. ; SZWARCFITER, J. L. . Sobre a Imersão de Árvores em Grades. MATEMATICA CONTEMPORANEA, v. 48, p. 201-210, 2021. 15. NASCIMENTO, J. R. ; SOUZA, U. ; SZWARCFITER, J. L. . Partitioning a Graph into Complementary Subgraphs. Graphs and Combinatorics, v. 37, p. 1311-1331, 2021. |
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Karla Tereza Figueiredo Leite karlafigueiredo@ime.uerj.br Lattes | P-MD (COMP) - L1 e L2 | 1. GONCALVES NETO, J. ; FIGUEIREDO, KARLA ; SOARES, J. ; BRANDAO, A. L. T. . Can Focusing on One Deep Learning Architecture Improve Fault Diagnosis Performance?. Journal of Chemical Information and Modeling, v. 1, p. 1, 2025. 2. 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. 3. 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. 4. 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. 5. 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. 6. 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. 7. CARDOSO, FABIO ; VILELA, VERÔNICA SILVA ; ARAÚJO FILHO, RONALDO CARVALHO ; LOPES, AGNALDO ; MOGAMI, ROBERTO ; Figueiredo, Karla . Classificação de padrões de esclerodermia utilizando deep learningClassification of scleroderma patterns using deep learningClasificación de patrones de esclerodermia mediante aprendizaje profundo. journal of health informatics, v. 16, p. 1, 2024. 8. ULRICHSEN, FELIPE CASSEMIRO ; SENA, ALEXANDRE COSTA ; PORTO, LUÍS CRISTÓVÃO ; Figueiredo, Karla . Signs and symptoms analysis of SARS-CoV-2 virus infection waves. journal of health informatics, v. 16, p. 1, 2024. 9. RIOS, VITORIA MARTINS ; DE CARVALHO, MATHEUS FIGUEIREDO NUNES ; RAMOS, RAFAELL DUTRA ; CARVALHO, THIAGO MEDEIROS ; FARIA, CRISTIANE OLIVEIRA ; LEITE, KARLA TEREZA FIGUEIREDO. Previsão de desfecho para pacientes internados com covid-19Predicting outcomes for patients hospitalized with COVID-19Predicción de resultados en pacientes hospitalizados por COVID-19. journal of health informatics, v. 16, p. 1, 2024. 10. DOS SANTOS, ADRIANO M. ; MOURA, FLÁVIO R. T. ; PINTO, LYANH V. L. ; ALVES, ANDRÉ V. N. ; FIGUEIREDO, KARLA; COSTA, FERNANDO A. R. ; SERUFFO, MARCOS C. DA R. . Words Similarities on Personalities: A Language-based Generalization Approach for Personality Factors Recognition. IEEE Access, v. 1, p. 1-1, 2023. 11. 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. 12. Valencia, Cesar H. ; M.B.R. VELLASCO, MARLEY ; FIGUEIREDO, KARLA . Echo State Networks: Novel Reservoir Selection and Hyperparameter Optimization Model for Time Series Forecasting. NEUROCOMPUTING, v. 545, p. 126317, 2023. 13. NETO, JOÃO G. ; SIMON, DOUGLAS A. ; Figueiredo, Karla T. ; BRANDÃO, AMANDA L.T. . Framework for data-driven polymer characterization from infrared spectra. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, v. 300, p. 122841, 2023. 14. MELO, T. S. ; PACHECO, G. A. ; SOUZA, M. I. C. ; FIGUEIREDO, KARLA . A dental pre-screening system: usability and user perception. JOURNAL OF THE INTERNATIONAL SOCIETY FOR TELEMEDICINE AND EHEALTH, v. 11, p. 1, 2023. 15. VIDAL, D. A. ; SANTOS, A. M. ; MELLO JUNIOR, H. ; FIGUEIREDO, K. ; MENDONCA, L. ; PAULINO, R. C. R. ; PIRES, Y. ; SERUFFO, MARCOS . Análise das Publicações no Twitter sobre as Vacinas contra a Covid-19 no Brasil. Cadernos do IME - Série Informática, v. 48, p. 134-142, 2023. 16. THIMOTEO, LUCAS M. ; VELLASCO, MARLEY M. ; AMARAL, JORGE ; FIGUEIREDO, KARLA ; YOKOYAMA, CÁTIA LIE ; MARQUES, ERITO . Explainable Artificial Intelligence for COVID-19 Diagnosis Through Blood Test Variables. Journal Of Control Automation And Electrical Systems, v. 1, p. 1-644, 2022. 17.CALDAS, IVETE FURTADO RIBEIRO ; PAIM, IGOR DE MORAES ; LEITE, KARLA TEREZA FIGUEIREDO ; DE MELLO JUNIOR, HAROLD DIAS ; BATAGLIA, PATRÍCIA UNGER RAPHAEL ; MARTINS, RAUL ARAGÃO ; PEREIRA, ANTONIO . Out of sight out of mind: Psychological distance and opinion about the age of penal majority. Frontiers in Psychology, v. 13, p. 1, 2022. 18.PEREIRA, A. ; FIGUEIREDO, KARLA . Características clínicas e fatores de risco para desfechos fatais e positivos em pacientes de Covid-19 de São Paulo. CADERNOS DO IME. SÉRIE INFORMÁTICA, v. 46, p. 128-137, 2022. 19.SOUZA, KENNEDY EDSON SILVA DE ; AVIZ, IGOR LEONARDO DE ; MELLO, HAROLD DIAS DE ; FIGUEIREDO, KARLA ; VELLASCO, MARLEY MARIA BERNARDES REBUZZI ; COSTA, FERNANDO AUGUSTO RIBEIRO ; SERUFFO, MARCOS CÉSAR DA ROCHA . An Evaluation Framework for User Experience Using Eye Tracking, Mouse Tracking, Keyboard Input, and Artificial Intelligence: A Case Study. International Journal of Human-Computer Interaction (Online), v. 1, p. 1-15, 2021. 20.CELECIA, ALIMED ; FIGUEIREDO, KARLA ; RODRIGUEZ, CARLOS ; Vellasco, Marley ; MALDONADO, EDWIN ; SILVA, MARCO AURÉLIO ; RODRIGUES, ANDERSON ; NASCIMENTO, RENATA ; OUROFINO, CARLA . Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool. SENSORS, v. 21, p. 6347, 2021. 21. MENDONÇA, LUCAS DEJARD MOREIRA ; SANTOS, ADRIANO MADUREIRA DOS ; JUNIOR, HAROLD DIAS DE MELLO ; PAULINO, RITA DE CÁSSIA ROMEIRO ; FIGUEIREDO, KARLA ; COSTA, FERNANDO AUGUSTO RIBEIRO ; SERUFFO, MARCOS CÉSAR DA ROCHA . Social and institutional presence of the Heads of Government of the Americas on Social Media. LOGEION: FILOSOFIA DA INFORMAÇÃO, v. 8, p. 104-129, 2021. |
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Luerbio Faria luerbio@ime.uerj.br Lattes | P-MD (COMP) - L3 | 1. FARIA, LUERBIO; NIGRO, MAURO ; SASAKI, DIANA . A polynomial-time algorithm for conformable coloring on regular bipartite and subcubic graphs. Discrete Optimization, v. 55, p. 100865, 2025. 2. COELHO, E. M. M. ; COELHO, H. ; Ferreira, M. P. ; KLEIN, S. ; FARIA, L. . On the absolute and relative oriented clique problems? time complexity. DISCRETE APPLIED MATHEMATICS, v. 369, p. 53-65, 2025. 3. COELHO, E. M. M. ; COELHO, H. ; Ferreira, M. P. ; KLEIN, S. ; FARIA, L. . The time complexity of oriented chromatic number for acyclic oriented connected subcubic subgraphs of grids. DISCRETE APPLIED MATHEMATICS, v. 369, p. 96-109, 2025. 4. Alcón ; FARIA, L. ; de Figueiredo, C.M.H. ; GUTIERREZ, M ; KLEIN, S ; Sikirić ; Souza, U. S. ; SUCUPIRA, R. A. . Canonical cuts of path powers. Contributions to Discrete Mathematics, v. 19, p. 121-136, 2024. 5. 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. 6. 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. 7. FARIA, LUERBIO; NIGRO, MAURO ; SASAKI, DIANA . On the conformability of regular line graphs. RAIRO-OPERATIONS RESEARCH, v. 57, p. 2527-2536, 2023. 8. 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. 9. 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. 10.GUEDES, André Luiz Pires ; Markenzon, L. ; FARIA, L.. On feedback vertex set in reducible flow hypergraphs. Proceedings do XI Latin and American Algorithms, Graphs and Optimization Symposium, Berlin, v. 195, p. 212-220, 2021. |
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Luís Cristóvão de Moraes Sobrino Pôrto luis.cristovaoporto@gmail.com Lattes | C (BIO) - L3 | 1. GOMES, MARILIA BRITO ; BRAGA, FERNANDA OLIVEIRA ; DRUMMOND, KARLA GUERRA ; PINHEIRO, ANDRÉ ; LEAL, FRANZ ; PÔRTO, LUÍS CRISTÓVÃO; FERREIRA, LIVIA LEITE ; PINHEIRO, GERALDO DA ROCHA CASTELAR ; NEGRATO, CARLOS ANTONIO . Prevalence of autoimmune diseases in an admixed population of patients with type 1 diabetes: a multicenter study in Brazil. Diabetology & Metabolic Syndrome, v. 16, p. 1-31, 2024. 2. MENEZES, RAPHAELA DOS SANTOS ; DORNAS, MARIA CRISTINA ; CAMPOS, CARLOS FREDERICO FERREIRA ; RODEIRO, DANIELA BOUZAS ; CARRERETTE, FABRICIO BORGES ; OLIVEIRA, ROMULO VIANNA ; DE SOUZA, BRENDA AMARAL ; ALVES DE SOUZA CARVALHO, GABRIELE ; BRITO, INGRID ALEXANDRE DE ABREU ; SILVA, DAYSE APARECIDA ; DAMIÃO, RONALDO ; PÔRTO, LUÍS CRISTÓVÃO. Evaluation of HNF1B , KLK3 , ELAC2 , TMPRSS2-ERG , and CTNNB1 polymorphisms associated with prostate cancer in samples of patients from HUPE-UERJ. PROSTATE, v. 84, p. 166-176, 2024. 3. NOGUEIRA, JEANE DE SOUZA ; GOMES, THAMIRES RODRIGUES ; SECCO, DANIELLE ANGST ; DE ALMEIDA, INEZ SILVA ; DA COSTA, ALESSANDRA SALDANHA MATHEUS FERNANDES ; COBAS, ROBERTA ARNOLDI ; COSTADOS SANTOS, GILSON ; GOMES, MARÍLIA BRITO ; PÔRTO, LUÍS CRISTÓVÃO. Type 1 Diabetes Brazilian patients exhibit reduced frequency of recent thymic emigrants in regulatory CD4+CD25+Foxp3+ T cells. IMMUNOLOGY LETTERS, v. 267, p. 106857, 2024. 4. SANTOS-REBOUÇAS, CÍNTIA BARROS ; FERREIRA, CRISTINA DOS SANTOS ; NOGUEIRA, JEANE DE SOUZA ; BRUSTOLINI, OTÁVIO JOSÉ ; DE ALMEIDA, LUIZ GONZAGA PAULA ; GERBER, ALEXANDRA LEHMKUHL ; GUIMARÃES, ANA PAULA DE CAMPOS ; PIERGIORGE, RAFAEL MINA ; STRUCHINER, CLÁUDIO JOSÉ ; PÔRTO, LUÍS CRISTÓVÃO; DE VASCONCELOS, ANA TEREZA RIBEIRO . Immune response stability to the SARS-CoV-2 mRNA vaccine booster is influenced by differential splicing of HLA genes. Scientific Reports, v. 14, p. 1, 2024. 5. OLIVEIRA, VICTORIA ; ANDRADE, GABRIELA ; PÔRTO, LUÍS CRISTÓVÃO; VIANNA, ROMULO ; SECCO, DANIELLE . Characterisation of the novel HLA-C*15:274 allele using short and long-read sequencing technologies. HLA, v. 103, p. e15517, 2024. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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Valmir Carneiro Barbosa valmircbarbosa@gmail.com Lattes | C (COMP) - L1 | 1. DE QUEIROZ, GABRIEL F.C. ; DE REZENDE, JOSÉ F. ; BARBOSA, VALMIR C.. A flexible algorithm to offload DAG applications for edge computing. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 222, p. 103791, 2024. 2. 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. 3. DAVID, FABIO ; DE REZENDE, JOSÉ F. ; BARBOSA, VALMIR C.. Exact Solution of the Full RMSA Problem in Elastic Optical Networks. IEEE Networking Letters, v. 6, p. 55-59, 2024. 4. SANTOS, MARLON D.M. ; CAMILLO-ANDRADE, AMANDA C. ; LIMA, DIOGO B. ; SOUZA, TATIANA A.C.B. ; FISCHER, JULIANA DE S. DA G. ; VALENTE, RICHARD H. ; GOZZO, FABIO C. ; BARBOSA, VALMIR C.; BATTHYANY, CARLOS ; CHAMOT-ROOKE, JULIA ; DURAN, ROSARIO ; CARVALHO, PAULO C. . DiagnoMass: A proteomics hub for pinpointing discriminative spectral clusters. Journal of Proteomics, v. 277, p. 104853, 2023. 5. CLASEN, MILAN A. ; SANTOS, MARLON D. M. ; KURT, LOUISE ULRICH ; FISCHER, JULIANA ; CAMILLO-ANDRADE, AMANDA C. ; SALES, LUCAS ALBUQUERQUE ; DE ARRUDA CAMPOS BRASIL DE SOUZA, TATIANA ; LIMA, DIOGO BORGES ; GOZZO, FABIO C. ; VALENTE, RICHARD HEMMI ; DURAN, ROSARIO ; BARBOSA, VALMIR C.; CARVALHO, PAULO C. . PatternLab V Handles Multiplex Spectra in Shotgun Proteomic Searches and Increases Identification. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, v. 34, p. 794-796, 2023. |
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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. |
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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. |
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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. |