NASCIMENTO

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NASCIMENTO Diego

PhD in Statistics

Diego NASCIMENTO is an Assistant Professor of Statistics at NEOMA Business School in France. His research is in the Statistical/Machine Learning field, including linear and non-linear modeling using dependence structures in the estimation process (latent and spatio-temporal), including Data Visualization. His research is published in high-ranking journals such as the Royal Statistical Society (Applied Statistics) and Pattern Recognition. His research has involved several industrial projects, including mining companies, Customer Experience, Supply Chain Management/Forecasting (around South American companies), and neuroscience data.

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, November 2024, vol. 155, pp. 110687
10.1016/j.patcog.2024.110687
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), January 2025, vol. 74, no. 1, pp. 1-17
10.1093/jrsssc/qlae042
LIMA MARINHO, T., D. NASCIMENTO, B. A. PIMENTEL, "Optimization on selecting hyperparameters using meta‐learning", Expert Systems: the Journal of Knowledge Engineering, September 2024, vol. 41, no. 9
10.1111/exsy.13611

DE JESUS, A. C., L. MARQUES, D. NASCIMENTO, B. A. PIMENTEL, "Understanding Public School Enrollment Trends in the Northeast of Brazil: Unraveling Features Through AI Related to the Learning Process for Low-Income Students" in Artificial Intelligence in Education., Alexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani Eds, Springer Nature Switzerland, pp. 454-461, 2025 DOI : 10.1007/978-3-031-98462-4_57
LOUZADA, F., P. H. FERREIRA, D. NASCIMENTO, "Spike‐and‐Slab Priors and Their Applications" in Wiley StatsRef: Statistics Reference Online., Ron S. Kenett, Nicholas T. Longford, Walter W. Piegorsch, Fabrizio Ruggeri Eds, Wiley, pp. 1-8, 2023 DOI : 10.1002/9781118445112.stat08417

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), January 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, November 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, September 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, November 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, October 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, September 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, July 2023, vol. 17 DOI : 10.3389/fncom.2023.1132160
EGBON, O. A., D. NASCIMENTO, F. LOUZADA, "Prior elicitation for Gaussian spatial process: An application to TMS brain mapping", Statistics in Medicine, September 2023, vol. 42, no. 22, pp. 3956-3980 DOI : 10.1002/sim.9842
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, July 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, September 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, July 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, October 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, March 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, April 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, December 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, December 2021, vol. 153, pp. 111440 DOI : 10.1016/j.chaos.2021.111440
NASCIMENTO, D., P. L. RAMOS, A. ENNES, C. COCOLO, M. J. NICOLA, C. ALONSO, L. G. RIBEIRO, F. LOUZADA, "A reliability engineering case study of sugarcane harvesters", Gestão & Produção, July 2020, vol. 27, no. 4 DOI : 10.1590/0104-530x4569-20
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, July 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, November 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, May 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), December 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, August 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, August 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, May 2019, vol. 18, no. 1, pp. 2-17 DOI : 10.22237/jmasm/1556669220
NASCIMENTO, D., B. BARBOSA, A. M. PEREZ, D. O. CAIRES, E. HIRAMA, P. L. RAMOS, F. LOUZADA, "Risk Management in E-Commerce—A Fraud Study Case Using Acoustic Analysis through Its Complexity", Entropy, November 2019, vol. 21, no. 11, pp. 1087 DOI : 10.3390/e21111087
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, April 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, September 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, October 2018, vol. 9 DOI : 10.3389/fneur.2018.00825