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2020 – today
- 2026
[j10]Jeff Caponero, Lilia Carolina Carneiro da Costa, Anderson L. Ara
:
Beyond significance: why the d-value matters more in big data contexts. Int. J. Data Sci. Anal. 21(1): 60 (2026)- 2025
- [j9]Jonatas Silva do Espirito Santo, Jackson Santos da Conceição, Lilia Carolina Carneiro da Costa, Rosemeire Leovigildo Fiaccone, Marcos Ennes Barreto, Maria Yury Ichihara, Anderson L. Ara:
K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units. Int. J. Data Sci. Anal. 20(2): 1425-1445 (2025) - [j8]Rafael Aguilar Magalhães, Anderson Andolfato Filho, Eduardo Alves Portela Santos, Anderson L. Ara:
Active learning in process mining: an active sampling using dimensionality reduction and iterative selection. Int. J. Data Sci. Anal. 20(6): 5361-5376 (2025) - 2023
- [j7]Diego Carvalho do Nascimento, José Roberto Santos da Silva, Anderson L. Ara, João Ricardo Sato, Lilia Costa:
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo. Frontiers Comput. Neurosci. 17 (2023) - [c1]Patrícia Deud Guimarães, Fernando Miguelão Silva, Anderson L. Ara, Vânia Paula de Almeida Néris:
A mixed factorial experiment with colors and adaptive web user interfaces to change emotions. IHC 2023: 47:1-47:12 - 2022
- [j6]Anderson L. Ara, Mateus Maia, Francisco Louzada, Samuel Macêdo:
Regression random machines: An ensemble support vector regression model with free kernel choice. Expert Syst. Appl. 202: 117107 (2022) - [j5]Anderson L. Ara, Francisco Louzada:
Alpha Skew Gaussian Naïve Bayes Classifier. Int. J. Inf. Technol. Decis. Mak. 21(1): 441-462 (2022) - 2020
- [j4]Mateus Maia, Jonatha Sousa Pimentel, Ivalbert S. Pereira, João Medrado Gondim, Marcos E. Barreto, Anderson L. Ara:
Convolutional Support Vector Models: Prediction of Coronavirus Disease Using Chest X-rays. Inf. 11(12): 548 (2020) - [i4]Anderson L. Ara, Mateus Maia, Samuel Macêdo, Francisco Louzada:
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice. CoRR abs/2003.12643 (2020)
2010 – 2019
- 2019
- [j3]Renata Germano Bianchi, Vânia Paula de Almeida Néris, Anderson L. Ara:
Tags vs. observers - a study on emotions tagged and emotions felt with Flickr pictures. Multim. Tools Appl. 78(15): 21805-21826 (2019) - [i3]Anderson L. Ara, Mateus Maia, Samuel Macêdo, Francisco Louzada:
Random Machines: A bagged-weighted support vector model with free kernel choice. CoRR abs/1911.09411 (2019) - 2018
- [i2]Diego C. Nascimento, Anderson L. Ara, Francisco Louzada-Neto:
Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset. CoRR abs/1810.01061 (2018) - 2016
- [j2]Francisco Louzada-Neto, Alexandre C. Maiorano, Anderson L. Ara:
iSports: A web-oriented expert system for talent identification in soccer. Expert Syst. Appl. 44: 400-412 (2016) - [i1]Francisco Louzada-Neto, Anderson L. Ara:
MWStat: A Modulated Web-Based Statistical System. CoRR abs/1605.00040 (2016) - 2012
- [j1]Francisco Louzada-Neto, Anderson L. Ara:
Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool. Expert Syst. Appl. 39(14): 11583-11592 (2012)
Coauthor Index
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