Rafael A. Berri

Orcid: 0000-0002-3812-4186

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 12 papers between 2014 and 2023.

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

Timeline

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Bibliography

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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