Barreto, Marcos E.

Number of items: 24.
Data Science Institute
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos, Kearney, Casey (6 May 2025) Generative AI in education: reshaping the future of learning. Management. picture_as_pdf
  • Sallai, Dorottya, Cardoso-Silva, Jonathan, Barreto, Marcos, Panero, Francesca, Berrada, Ghita, Luxmoore, Sara (2024). Approach generative AI tools proactively or risk bypassing the learning process in higher education. LSE Public Policy Review, 3(3). https://doi.org/10.31389/lseppr.108 picture_as_pdf
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos (22 May 2024) To improve their courses, educators should respond to how students actually use AI. Impact of Social Sciences Blog. picture_as_pdf
    • Economics
  • Sironi, Alberto Pietro Ennes Barreto, Marcos (Contributor) Bertoldo, Juracy (Contributor) Sampaio, Vanderson (Contributor) , Coimbra, Danilo (Contributor) , Rasella, Davide (Contributor) , (2022). MalariaVisAnalytics. [Dataset]. Mendeley Data. https://doi.org/10.17632/d6426h6fhn
    • Management
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos, Kearney, Casey (6 May 2025) Generative AI in education: reshaping the future of learning. Management. picture_as_pdf
  • Sallai, Dorottya, Cardoso-Silva, Jonathan, Barreto, Marcos, Panero, Francesca, Berrada, Ghita, Luxmoore, Sara (2024). Approach generative AI tools proactively or risk bypassing the learning process in higher education. LSE Public Policy Review, 3(3). https://doi.org/10.31389/lseppr.108 picture_as_pdf
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos (22 May 2024) To improve their courses, educators should respond to how students actually use AI. Impact of Social Sciences Blog. picture_as_pdf
    • School of Public Policy
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos, Kearney, Casey (6 May 2025) Generative AI in education: reshaping the future of learning. Management. picture_as_pdf
    • Statistics
  • Borges, Dérick G. F., Coutinho, Eluã R., Jorge, Daniel C. P., Barreto, Marcos E., Ramos, Pablo I. P., Barral-Netto, Manoel, Coutinho, Alvaro L. G. A., Landau, Luiz, Pinho, Suani T. R., Andrade, Roberto F. S. (2025). An integrated framework for modelling respiratory disease transmission and designing surveillance networks using a sentinel index. Royal Society Open Science, 12(9). https://doi.org/10.1098/rsos.251195 picture_as_pdf
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos, Kearney, Casey (6 May 2025) Generative AI in education: reshaping the future of learning. Management. picture_as_pdf
  • Borges, Dérick G. F., Coutinho, Eluã R., Cerqueira-Silva, Thiago, Grave, Malú, Vasconcelos, Adriano O., Landau, Luiz, Coutinho, Alvaro L. G. A., Ramos, Pablo Ivan P., Barral-Netto, Manoel & Pinho, Suani T. R. et al (2025). Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records. BMC Medical Research Methodology, 25(1). https://doi.org/10.1186/s12874-025-02542-0 picture_as_pdf
  • Machado, Tiago Fernandes, das Chagas Barros Neto, Francisco, de Souza Gonçalves, Marilda, Barbosa, Cynara Gomes, Barreto, Marcos Ennes (2024). Exploring machine learning algorithms in sickle cell disease patient data: a systematic review. PLOS ONE, 19(11). https://doi.org/10.1371/journal.pone.0313315 picture_as_pdf
  • Sallai, Dorottya, Cardoso-Silva, Jonathan, Barreto, Marcos, Panero, Francesca, Berrada, Ghita, Luxmoore, Sara (2024). Approach generative AI tools proactively or risk bypassing the learning process in higher education. LSE Public Policy Review, 3(3). https://doi.org/10.31389/lseppr.108 picture_as_pdf
  • Sallai, Dorottya, Cardoso Silva, Jon, Barreto, Marcos (22 May 2024) To improve their courses, educators should respond to how students actually use AI. Impact of Social Sciences Blog. picture_as_pdf
  • Boylan, Sally, Arsenault, Catherine, Barreto, Marcos, Bozza, Fernando A, Fonseca, Adalton, Forde, Eoghan, Hookham, Lauren, Humphreys, Georgina S, Ichihara, Maria Yury & Le doare, Kirsty et al (2024). Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects. The Lancet Digital Health, 6(5), e354-e366. https://doi.org/10.1016/S2589-7500(24)00028-1 picture_as_pdf
  • do Espirito Santo, Jonatas Silva, da Conceição, Jackson Santos, da Costa, Lilia Carolina Carneiro, Fiaccone, Rosemeire Leovigildo, Barreto, Marcos, Ichihara, Maria Yury, Ara, Anderson (2024). K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00542-9 picture_as_pdf
  • Barreto, Marcos (13 June 2023) A fundamental problem at the heart of data science teaching. LSE Higher Education Blog. picture_as_pdf
  • de Araujo, Jacyra Azevedo Paiva, Xavier, Érika Fialho Morais, Rodrigues, Elisângela da Silva, Machado, Daiane Borges, Barreto, Marcos E., Kanaan, Richard A., Barreto, Mauricio L., Castro-De-araujo, Luis Fernando Silva (2022). Main and moderated effects of multimorbidity and depressive symptoms on cognition. Brazilian Journal of Psychiatry, 44(6), 644 - 649. https://doi.org/10.47626/1516-4446-2022-2601 picture_as_pdf
  • Calais-Ferreira, Lucas, Barreto, Marcos, Mendonça, Everton, Dite, Gillian S, Hickey, Martha, Ferreira, Paulo H, Scurrah, Katrina J, L Hopper, John (2022). Birthweight, gestational age and familial confounding in sex differences in infant mortality: a matched co-twin control study of Brazilian male-female twin pairs identified by population data linkage. International Journal of Epidemiology, 51(5), 1502 - 1510. https://doi.org/10.1093/ije/dyab242 picture_as_pdf
  • Sironi, Alberto Pietro, Bertoldo, Juracy, Sampaio, Vanderson, Coimbra, Danilo, Rasella, Davide, Barreto, Marcos Ennes (2022). Malaria-VisAnalytics: a tool for visual exploratory analysis of Brazilian public malaria data. Malaria Journal, 21(1). https://doi.org/10.1186/s12936-022-04248-w picture_as_pdf
  • Barreto, Mauricio L., Ichihara, Maria Yury, Pescarini, Julia M., Ali, M. Sanni, Borges, Gabriela L., Fiaccone, Rosemeire L., Ribeiro-Silva, Rita de Cássia, Teles, Carlos A., Almeida, Daniela & Sena, Samila et al (2022). Cohort profile: the 100 million Brazilian cohort. International Journal of Epidemiology, 51(2), e27 - e38. https://doi.org/10.1093/ije/dyab213 picture_as_pdf
  • Buccini, Gabriela, Pimentel, Juliana L., Pedroso, Jéssica, Coelho Kubo, Stefanie Eugênia Dos Anjos, Bertoldo, Juracy, Sironi, Alberto, Barreto, Marcos E., Pérez‐escamilla, Rafael, Gubert, Muriel B. (2022). Prioritizing nurturing care at the municipal and district level with the Brazilian Early Childhood Friendly Municipal Index (IMAPI). Maternal and Child Nutrition, 18(S2). https://doi.org/10.1111/mcn.13312 picture_as_pdf
  • Buccini, Gabriela, Pedroso, Jéssica, Coelho, Stefanie, Ferreira De Castro, Gabriel, Bertoldo, Juracy, Sironi, Alberto, Gondim, Joao, Venancio, Sonia Isoyama, Pérez‐escamilla, Rafael & Barreto, Marcos Ennes et al (2022). Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (IMAPI). Maternal and Child Nutrition, 18(S2). https://doi.org/10.1111/mcn.13155 picture_as_pdf
  • Buccini, Gabriela, Coelho Kubo, Stefanie Eugênia Dos Anjos, Pedroso, Jéssica, Bertoldo, Juracy, Sironi, Alberto, Barreto, Marcos Ennes, Pérez‐escamilla, Rafael, Venancio, Sonia Isoyama, Gubert, Muriel Bauermann (2022). Sociodemographic inequities in nurturing care for early childhood development across Brazilian municipalities. Maternal and Child Nutrition, 18(S2). https://doi.org/10.1111/mcn.13232 picture_as_pdf
  • Arouca, Murilo Guerreiro, Neves, Isa Beatriz Da Cruz, Barreto, Marcos Ennes, Cruz, Carlos Daniel Santana, Brito, Ricardo Lustosa (2021). Gamification frameworks and models for health contexts: an integrative review. International Journal for Innovation Education and Research, 9(9), 374 - 386. https://doi.org/10.31686/ijier.vol9.iss9.3350 picture_as_pdf
  • Maia, Mateus, Pimentel, Jonatha S., Pereira, Ivalbert S., Gondim, João, Barreto, Marcos E., Ara, Anderson (2020). Convolutional support vector models: prediction of coronavirus disease using chest X-rays. Information, 11(12). https://doi.org/10.3390/info11120548 picture_as_pdf
  • Paz, Hellen, Maia, Mateus, Moraes, Fernando, Lustosa, Ricardo, Costa, Lilia, Macêdo, Samuel, Barreto, Marcos E., Ara, Anderson (2020). Local processing of massive databases with R: a national analysis of a Brazilian social programme. Stats, 3(4), 444 - 464. https://doi.org/10.3390/stats3040028 picture_as_pdf
  • Barbosa, George C.G., Ali, M. Sanni, Araujo, Bruno, Reis, Sandra, Sena, Samila, Ichihara, Maria Y.T., Pescarini, Julia, Fiaccone, Rosemeire L., Amorim, Leila D. & Pita, Robespierre et al (2020). CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-01285-w picture_as_pdf
  • Godfrey, Alan, Aranda, C., Hussain, A., Barreto, M., Rocha, T., Vitório, R. (2020). Wearables beyond borders: a case study of barriers to gait assessment in low-resource settings. Maturitas, 137, 7 - 10. https://doi.org/10.1016/j.maturitas.2020.04.013 picture_as_pdf
  • Godfrey, Alan, Goldsack, Jennifer C., Tenaerts, Pamela, Coravos, Andrea, Aranda, Clara, Hussain, Azid, Barreto, Marcos E., Young, Fraser, Vitorio, Rodrigo (2020). BioMeT and algorithm challenges: a proposed digital standardized evaluation framework. IEEE Journal of Translational Engineering in Health and Medicine, 8, https://doi.org/10.1109/JTEHM.2020.2996761 picture_as_pdf
  • Pignaton De Freitas, Edison, Olszewska, Joanna Isabelle, Carbonera, Joel Luís, Fiorini, Sandro R., Khamis, Alaa, Ragavan, S. Veera, Barreto, Marcos E., Prestes, Edson, Habib, Maki K. & Redfield, Signe et al (2020). Ontological concepts for information sharing in cloud robotics. Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-020-02150-4 picture_as_pdf