Rafael A. Berri

Orcid: 0000-0002-5125-2756

Affiliations:
  • Federal University of Rio Grande, RS, Brazil
  • University of São Paulo, São Carlos, SP, Brazil (former)


According to our database1, Rafael A. Berri authored at least 31 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

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Bibliography

2026
Unveiling Stock Market Trends by Deep Learning Insights With Correction Factor and Recurrent Neural Networks.
Expert Syst. J. Knowl. Eng., 2026

Impact of Feature Selection and Genetic Algorithms on Machine Learning Performance for Intraday Financial Trend Prediction.
Proceedings of the 28th International Conference on Enterprise Information Systems, 2026

Impact and Applications of Aggregation Methods in Fuzzy Rule-Based Classification Systems: A Systematic Review.
Proceedings of the 28th International Conference on Enterprise Information Systems, 2026

An Incremental E-Commerce Review Dataset for Sentiment Analysis in Portuguese Language.
Proceedings of the 28th International Conference on Enterprise Information Systems, 2026

Transformer Attention Modifications and Pre-Aggregation Functions: A Systematic Review.
Proceedings of the 28th International Conference on Enterprise Information Systems, 2026

2025
Impact of Data-Oriented and Object-Oriented Design on Performance and Cache Utilization with Artificial Intelligence Algorithms in Multi-Threaded CPUs.
CoRR, December, 2025

Robotic Visual Attention Architecture for ADAS in Critical Embedded Systems for Smart Vehicles.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

Feature Selection for Stock Market Prediction: A Comparison of Relief and Information Gain Methods.
Proceedings of the 27th International Conference on Enterprise Information Systems, 2025

Predictive Analysis with Technical Indicators and Features Selection for Futures Contracts Trading.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

A Review on Computer Vision-Based Object and Safe Navigation Zone Identification for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS).
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

Analysis of Bitcoin Trends Through the Integration of On-Chain Financial Indicators and Machine Learning.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

Enhancing Stock Market Predictions: The Role of Feature Selection Techniques in Financial Modeling.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

Evaluating the Power Measure with Choquet-Based Generalizations in Fuzzy Rule-Based Classification Systems.
Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024
Comparative Study of Predictive Models Based on Moving Averages Applied in Binary Options in the Financial Market.
RITA, 2024

Echo state network and classical statistical techniques for time series forecasting: A review.
Knowl. Based Syst., 2024

Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2023
CARINA Project: Visual Perception Systems Applied for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS).
IEEE Access, 2023

Comparing Ranking Learning Algorithms for Information Retrieval Systems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

A Computational Model for Predicting Cryptocurrencies Using Exogenous Variables.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022
BovDB: a data set of stock prices of all companies in B3 from 1995 to 2020.
J. Inf. Data Manag., 2022

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, 2022

Analyzing the Determinant Characteristics for a Good Performance at ENADE Brazilian Exam Stratified by Teaching Modality: Face-to-face versus Online.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

2021
On the Generalizations of the Choquet Integral for Application in FRBCs.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2018
A 3D vision system for detecting use of mobile phones while driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Nonintrusive System for Detecting Drunk Drivers in Modern Vehicles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2016
A hybrid vision system for detecting use of mobile phones while driving.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
A Pattern Recognition System for Detecting Use of Mobile Phones While Driving.
Proceedings of the VISAPP 2014, 2014


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