Noninvasive monitoring of residential loads. - Antonio C. S. Lima; Alexandre P. Alves da Silva; Diego C. Nascimento (ISGT Europe, 2012)

Challenges in System of Systems Development: A Systematic Mapping. - Diego C. Nascimento; Rosana T. V. Braga (CIbSE, 2018)

Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset. - Diego C. Nascimento; Anderson L. Ara; Francisco Louzada-Neto (CoRR, 2018)

The Inverse Nakagami-m Distribution: A Novel Approach in Reliability. - Francisco Louzada 001; Pedro L. Ramos; Diego C. Nascimento (IEEE Trans. Reliab., 2018)

Risk Management in E-Commerce - A Fraud Study Case Using Acoustic Analysis through Its Complexity. - Diego C. Nascimento; Bruno Barbosa; André M. Perez; Daniel O. Caires; Edgar Hirama; Pedro L. Ramos; Francisco Louzada 001 (Entropy, 2019)

A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. - Marco A. Pinto-Orellana; Diego C. Nascimento; Peyman Mirtaheri; Rune Jonassen; Anis Yazidi; Hugo Lewi Hammer (CoRR, 2020)

Dynamic time series smoothing for symbolic interval data applied to neuroscience. - Diego C. Nascimento; Bruno A. Pimentel; Renata Souza 002; João P. Leite; Dylan J. Edwards; Taiza E. G. Santos; Francisco Louzada 001 (Inf. Sci., 2020)

Is Football/Soccer Purely Stochastic, Made Out of Luck, or Maybe Predictable? How Does Bayesian Reasoning Assess Sports? - Leonardo Barrios Blanco; Paulo Henrique Ferreira; Francisco Louzada 001; Diego Carvalho do Nascimento (Axioms, 2021)

Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data. - Anderson Fonseca 002; Paulo Henrique Ferreira; Diego Carvalho do Nascimento; Rosemeire Fiaccone; Christopher Ulloa-Correa; Ayón García-Piña; Francisco Louzada 001 (Axioms, 2021)

Spatial Statistical Models: An Overview under the Bayesian Approach. - Francisco Louzada 001; Diego Carvalho do Nascimento; Osafu Augustine Egbon (Axioms, 2021)

Generalizing Normality: Different Estimation Methods for Skewed Information. - Diego Carvalho do Nascimento; Pedro Luiz Ramos; David Elal-Olivero; Milton Cortes-Araya; Francisco Louzada 001 (Symmetry, 2021)

Bayesian Reference Analysis for the Generalized Normal Linear Regression Model. - Vera Lucia Damasceno Tomazella; Sandra Rêgo Jesus; Amanda Buosi Gazon; Francisco Louzada 001; Saralees Nadarajah; Diego Carvalho do Nascimento; Francisco Aparecido Rodrigues; Pedro Luiz Ramos (Symmetry, 2021)

Extending Normality: A Case of Unit Distribution Generated from the Moments of the Standard Normal Distribution. - Miguel S. Concha-Aracena; Leonardo Barrios Blanco; David Elal-Olivero; Paulo H. Ferreira-Silva; Diego Carvalho do Nascimento (Axioms, 2022)

Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic. - Oilson Alberto Gonzatto Junior; Diego Carvalho do Nascimento; Cibele Maria Russo; Marcos Jardel Henriques; Caio Paziani Tomazella; Maristela Oliveira Santos; Denis Neves; Diego Assad; Rafaela Guerra; Evelyn Keise Bertazo; José Alberto Cuminato; Francisco Louzada 001 (Knowl. Based Syst., 2022)

Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo. - Diego Carvalho do Nascimento; José Roberto Santos da Silva; Anderson L. Ara; João Ricardo Sato; Lilia Costa (Frontiers Comput. Neurosci., 2023)

Evaluating brain group structure methods using hierarchical dynamic models. - Lilia Costa; Osvaldo Anacleto-Junior; Diego C. Nascimento; James Q. Smith; Catriona M. Queen; Francisco Louzada 001; Tom E. Nichols (Pattern Recognit., 2024)

Optimization on selecting XGBoost hyperparameters using meta-learning. - Tiago Lima Marinho; Diego Carvalho do Nascimento; Bruno Almeida Pimentel (Expert Syst. J. Knowl. Eng., 2024)

Understanding Public School Enrollment Trends in the Northeast of Brazil: Unraveling Features Through AI Related to the Learning Process for Low-Income Students. - Artur Cavalcante de Jesus; Leonardo Marques; Diego Carvalho do Nascimento; Bruno Almeida Pimentel (AIED (5), 2025)

Time Series Information Visualization - A Review of Approaches and Tools. - Evandro S. Ortigossa; Fábio F. Dias 001; Diego C. Nascimento; Luis Gustavo Nonato (CoRR, 2025)