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NASCIMENTO Diego

PhD en statistiques

Diego NASCIMENTO est Professeur Assistant en statistiques à NEOMA Business School. Sa recherche s'inscrit dans le domaine de la statistique et de l'apprentissage automatique, incluant la modélisation linéaire et non linéaire à l'aide de structures de dépendance dans le processus d'estimation (latentes et spatio-temporelles), ainsi que la visualisation de données. Ses travaux sont publiés dans des revues de haut niveau telles que Royal Statistical Society (Applied Statistics) et Pattern Recognition. Ses recherches ont impliqué plusieurs projets industriels, notamment avec des entreprises minières, dans l’expérience client, la gestion et la prévision de la chaîne d’approvisionnement (principalement auprès d'entreprises sud-américaines), ainsi que des données en neurosciences.

Domaines de spécialisation

  • Ingénierie Statistique
  • Modélisation des séries temporelles et spatiales
  • Statistique et Apprentissage Automatique
  • Regroupement et Classification

Récentes contributions académiques

  • EGBON, O. A., C. HEUMANN, D. NASCIMENTO, F. LOUZADA, "Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data", Journal of the Royal Statistical Society Series C (Applied Statistics), Janvier 2025, vol. 74, no. 1, pp. 1-17
    DOI : 10.1093/jrsssc/qlae042
  • COSTA, L., O. ANACLETO, D. NASCIMENTO, J. Q. SMITH, C. M. QUEEN, F. LOUZADA, T. NICHOLS, "Evaluating brain group structure methods using hierarchical dynamic models", Pattern Recognition, Novembre 2024, vol. 155, pp. 110687
    DOI : 10.1016/j.patcog.2024.110687
  • LIMA MARINHO, T., D. NASCIMENTO, B. A. PIMENTEL, "Optimization on selecting hyperparameters using meta‐learning", Expert Systems: the Journal of Knowledge Engineering, Septembre 2024, vol. 41, no. 9
    DOI : 10.1111/exsy.13611

Article

  • EGBON, O. A., C. HEUMANN, D. NASCIMENTO, F. LOUZADA, "Mixtures of Dirichlet processes for joint spatial modelling of transcranial magnetic stimulation mapping data", Journal of the Royal Statistical Society Series C (Applied Statistics), Janvier 2025, vol. 74, no. 1, pp. 1-17
    DOI : 10.1093/jrsssc/qlae042
  • COSTA, L., O. ANACLETO, D. NASCIMENTO, J. Q. SMITH, C. M. QUEEN, F. LOUZADA, T. NICHOLS, "Evaluating brain group structure methods using hierarchical dynamic models", Pattern Recognition, Novembre 2024, vol. 155, pp. 110687
    DOI : 10.1016/j.patcog.2024.110687
  • LIMA MARINHO, T., D. NASCIMENTO, B. A. PIMENTEL, "Optimization on selecting hyperparameters using meta‐learning", Expert Systems: the Journal of Knowledge Engineering, Septembre 2024, vol. 41, no. 9
    DOI : 10.1111/exsy.13611
  • RIMOLI, B. P., D. B. FAVORETTO, L. R. A. SANTOS, D. NASCIMENTO, K. T. WEBER, F. LOUZADA, J. P. LEITE, D. J. EDWARDS, T. G. S. EDWARDS, "Graviceptive neglect induced by HD-tDCS of the right or left temporoparietal junction: A within-person randomized trial in healthy adults", Annals of Physical and Rehabilitation Medicine, Novembre 2024, vol. 67, no. 8, pp. 101872
    DOI : 10.1016/j.rehab.2024.101872
  • REIS, L. F. M., D. NASCIMENTO, P. H. FERREIRA, F. LOUZADA, Q. ZHANG, "Fixing imbalanced binary classification: An asymmetric Bayesian learning approach", PLoS ONE, Octobre 2024, vol. 19, no. 10, pp. e0311246
    DOI : 10.1371/journal.pone.0311246
  • NASCIMENTO, D., O. A. GONZATTO JUNIOR, D. ELAL-OLIVERO, E. BONNAIL, P. H. FERREIRA, "Statistical process control (SPC) for double-bounded information: Choosing wisely the parametric family for unit data", Quality Engineering, Septembre 2024, vol. 36, no. 3, pp. 575-593
    DOI : 10.1080/08982112.2023.2254843
  • NASCIMENTO, D., J. R. SANTOS DA SILVA, A. ARA, J. R. SATO, L. COSTA, "Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo", Frontiers in Computational Neuroscience, Juillet 2023, vol. 17
    DOI : 10.3389/fncom.2023.1132160
  • GONZATTO JUNIOR, O. A., D. NASCIMENTO, C. M. RUSSO, M. J. HENRIQUES, C. P. TOMAZELLA, M. O. SANTOS, D. NEVES, D. ASSAD, R. GUERRA, E. K. BERTAZO, J. A. CUMINATO, F. LOUZADA, "Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic", Knowledge-Based Systems, Juillet 2022, vol. 247, pp. 108753
    DOI : 10.1016/j.knosys.2022.108753
  • STEFANO, L. H. S., D. B. FAVORETTO, D. NASCIMENTO, L. R. A. SANTOS, F. LOUZADA, M. BIKSON, J. P. LEITE, O. M. PONTES-NETO, D. J. EDWARDS, T. G. S. EDWARDS, "Middle cerebral artery blood flow stability in response to high-definition transcranial electrical stimulation: A randomized sham-controlled clinical trial", Clinical Neurology and Neurosurgery, Septembre 2022, vol. 220, pp. 107345
    DOI : 10.1016/j.clineuro.2022.107345
  • ORTIGOSSA, E. S., F. F. DIAS, D. NASCIMENTO, "Getting over High-Dimensionality: How Multidimensional Projection Methods Can Assist Data Science", World Applied Sciences Journal, Juillet 2022, vol. 12, no. 13, pp. 6799
    DOI : 10.3390/app12136799
  • FERREIRA, P. H., A. O. FONSECA, D. NASCIMENTO, E. BONNAIL, F. LOUZADA, "Unraveling water monitoring association towards weather attributes for response proportions data: A unit-Lindley learning", PLoS ONE, Octobre 2022, vol. 17, no. 10, pp. e0275841
    DOI : 10.1371/journal.pone.0275841
  • FAVORETTO, D. B., E. BERGONZONI, D. NASCIMENTO, F. LOUZADA, T. W. LEMOS, R. A. BATISTELA, R. MORAES, J. P. LEITE, B. P. RIMOLI, D. J. EDWARDS, T. G. S. EDWARDS, "High Definition tDCS Effect on Postural Control in Healthy Individuals: Entropy Analysis of a Crossover Clinical Trial", World Applied Sciences Journal, Mars 2022, vol. 12, no. 5, pp. 2703
    DOI : 10.3390/app12052703
  • IANISHI, P., O. A. GONZATTO JUNIOR, M. J. HENRIQUES, D. NASCIMENTO, G. K. MATTAR, P. L. RAMOS, A. ARA, F. LOUZADA, "Probability on Graphical Structure: A Knowledge-Based Agricultural Case", Annals of Data Science, Avril 2022, vol. 9, no. 2, pp. 327-345
    DOI : 10.1007/s40745-020-00311-y
  • LOUZADA, F., D. NASCIMENTO, O. A. EGBON, "Spatial Statistical Models: An Overview under the Bayesian Approach", Axioms, Décembre 2021, vol. 10, no. 4, pp. 307
    DOI : 10.3390/axioms10040307
  • NASCIMENTO, D., B. A. PIMENTEL, R. M. C. R. SOUZA, L. COSTA, S. GONÇALVES, F. LOUZADA, "Dynamic graph in a symbolic data framework: An account of the causal relation using COVID-19 reports and some reflections on the financial world", Chaos, Solitons & Fractals, Décembre 2021, vol. 153, pp. 111440
    DOI : 10.1016/j.chaos.2021.111440
  • LEÃO, J., E. LOPES, T. LEÃO, D. NASCIMENTO, "Birnbaum‐Saunders autoregressive conditional range model applied to stock index data", Applied Stochastic Models in Business & Industry, Juillet 2020, vol. 36, no. 4, pp. 570-585
    DOI : 10.1002/asmb.2511
  • NASCIMENTO, D., M. A. PINTO-ORELLANA, J. P. LEITE, D. J. EDWARDS, F. LOUZADA, T. E. G. SANTOS, "BrainWave Nets: Are Sparse Dynamic Models Susceptible to Brain Manipulation Experimentation?", Frontiers in Systems Neuroscience, Novembre 2020, vol. 14
    DOI : 10.3389/fnsys.2020.527757
  • NASCIMENTO, D., B. PIMENTEL, R. SOUZA, J. P. LEITE, D. J. EDWARDS, T. E. G. SANTOS, F. LOUZADA, "Dynamic time series smoothing for symbolic interval data applied to neuroscience", Information Sciences, Mai 2020, vol. 517, pp. 415-426
    DOI : 10.1016/j.ins.2019.12.026
  • RAMOS, P. L., D. NASCIMENTO, R. FERNANDES, E. GUIMARÃES, M. SANTANA, K. SOARES, F. LOUZADA, "Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models", TEMA (São Carlos), Décembre 2019, vol. 20, no. 3, pp. 571
    DOI : 10.5540/tema.2019.020.03.571
  • NASCIMENTO, D., G. DEPETRI, L. H. STEFANO, O. ANACLETO, J. P. LEITE, D. J. EDWARDS, T. E. G. SANTOS, F. LOUZADA NETO, "Entropy Analysis of High-Definition Transcranial Electric Stimulation Effects on EEG Dynamics", Behavioral and Brain Sciences, Août 2019, vol. 9, no. 8, pp. 208
    DOI : 10.3390/brainsci9080208
  • RAMOS, P. L., D. NASCIMENTO, P. H. FERREIRA, K. T. WEBER, T. E. G. SANTOS, F. LOUZADA, "Modeling traumatic brain injury lifetime data: Improved estimators for the Generalized Gamma distribution under small samples", PLoS ONE, Août 2019, vol. 14, no. 8, pp. e0221332
    DOI : 10.1371/journal.pone.0221332
  • NASCIMENTO, D., C. XAVIER, I. FELIPE, F. L. NETO, "Dynamic Conditional Correlation GARCH: A Multivariate Time Series Novel using a Bayesian Approach", Journal of Modern Applied Statistical Methods, Mai 2019, vol. 18, no. 1, pp. 2-17
    DOI : 10.22237/jmasm/1556669220
  • RAMOS, P. L., D. NASCIMENTO, C. COCOLO, M. J. NICOLA, C. ALONSO, L. G. RIBEIRO, A. ENNES, F. LOUZADA, "Reliability-Centered Maintenance: Analyzing Failure in Harvest Sugarcane Machine Using Some Generalizations of the Weibull Distribution", Modelling and Simulation in Engineering, Avril 2018, vol. 2018, no. 1, pp. 1-12
    DOI : 10.1155/2018/1241856
  • LOUZADA, F., P. L. RAMOS, D. NASCIMENTO, "The Inverse Nakagami-m Distribution: A Novel Approach in Reliability", IEEE Transactions on Reliability, Septembre 2018, vol. 67, no. 3, pp. 1030-1042
    DOI : 10.1109/TR.2018.2829721
  • SANTOS, T. E. G., D. B. FAVORETTO, I. G. TOOSTANI, D. NASCIMENTO, B. P. RIMOLI, E. BERGONZONI, T. W. LEMOS, D. Q. TRUONG, A. C. B. DELBEM, B. MAKKIABADI, R. MORAES, F. LOUZADA, M. BIKSON, J. P. LEITE, D. J. EDWARDS, "Manipulation of Human Verticality Using High-Definition Transcranial Direct Current Stimulation", Frontiers in Neurology, Octobre 2018, vol. 9
    DOI : 10.3389/fneur.2018.00825