Rafael Alceste Berri

University of Rio Grande and Rio Grande Community College — United States

Engineering · Physical Sciences

7h-index143citations34works1.52yr avg
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Research Topics

Autonomous Vehicle Technology and Safety(10), Stock Market Forecasting Methods(7), Sleep and Work-Related Fatigue(5), Video Surveillance and Tracking Methods(4), Neural Networks and Applications(3)

Publications34 total

Evaluating the Power Measure with Choquet-Based Generalizations in Fuzzy Rule-Based Classification Systems
Lecture notes in computer science·2026
Redes Neurais de Estado de Eco com otimização por algoritmo genético e correção de eventos para previsão do preço de ações
Exacta·2025Open Access
A Review on Computer Vision-Based Object and Safe Navigation Zone Identification for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS)
Lecture notes in computer science·2025
Robotic Visual Attention Architecture for ADAS in Critical Embedded Systems for Smart Vehicles
2025Open Access
Feature Selection for Stock Market Prediction: A Comparison of Relief and Information Gain Methods
2025· 1 citedOpen Access
Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions
Lecture notes in computer science·2024· 1 cited
Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches
Lecture notes in computer science·2024
Unveiling Stock Market Trends by Deep Learning Insights with Correction Factor and Recurrent Neural Networks
2024Open Access
Comparative Study of Predictive Models Based on Moving Averages Applied in Binary Options in the Financial Market
Revista de Informática Teórica e Aplicada·2024Open Access
Echo state network and classical statistical techniques for time series forecasting: A review
Knowledge-Based Systems·2024· 13 cited
Avaliação de Métodos de Seleção de Características para Ataques de Inundação HTTP
2023Open Access
Normality tests: a study of residuals obtained on time series tendency modeling
Exacta·2023· 7 citedOpen Access
Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks
Lecture notes in computer science·2023
A Computational Model for Predicting Cryptocurrencies Using Exogenous Variables
2023Open Access
CARINA Project: Visual Perception Systems Applied for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS)
IEEE Access·2023· 15 citedOpen Access
Comparing Ranking Learning Algorithms for Information Retrieval Systems
Lecture notes in computer science·2023· 1 cited
BovDB: a data set of stock prices of all companies in B3 from 1995 to 2020
Journal of Information and Data Management·2022· 5 citedOpen Access
ADAS Classifier for Driver Monitoring and Driving Qualification using Both Internal and External Vehicle Data
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications·2022· 2 citedOpen Access
Analyzing the Determinant Characteristics for a Good Performance at ENADE Brazilian Exam Stratified by Teaching Modality: Face-to-face versus Online
2022· 1 citedOpen Access
ASSOCIAÇÃO DE REDES DE ESTADO DE ECO COM MÉTODOS ESTATÍSTICOS CLÁSSICOS DE PREVISÃO: Uma revisão bibliométrica
2022Open Access
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Frequent Co-authors

Eduardo Nunes Borges(16), Giancarlo Lucca(16), Fernando Santos Osório(10), Bruno L. Dalmazo(10), Fabian Corrêa Cardoso(8), Viviane Leite Dias de Mattos(8), Alexandre Gonçalves Silva(4), Rafael Stubs Parpinelli(3), Elaine Girardi(3), Rangel Arthur(3), Denis F. Wolf(2), Graçaliz Pereira Dimuro(2), Tiago da Cruz Asmus(2), Diego Renan Bruno(2), Vitor Augusto da Rosa Pereira(2), Jair O. González(2), Diego Renan Bruno(1), Felipe Manzoni Barbosa(1), Juan Andrey Valverde Malska(1), Paulo Junior Ramiro(1)