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Alberto Ferreira De Souza

Observed names: A. F. D. Souza, A. F. De Souza, A. F. Souza, A. F. de Souza, A. Ferreira De Souza, A. Ferreira de Souza, A.F. De Souza, A.F. de Souza, AF de Souza, Alberto F. De Souza, Alberto Ferreira De Souza, Alberto De Souza, Alberto F De Souza, Alberto F. De Souza, Alberto F. De Souza A, Alberto F. de Souza, Alberto F. de Souza, Alberto Ferreira, Alberto Ferreira Souza, Alberto Ferreira de Souza, Alberto Ferreira De Souza, Alberto Souza, DE Souza Alberto Ferreira, De Souza, Alberto F., De Souza, Alberto Ferreira, F. de Souza, Alberto, Souza, Alberto F. De, Souza, Alberto Ferreira de, de Souza, Alberto Ferreira
Observed institutions: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade Federal do Rio de Janeiro, Universidade Federal do Rio Grande do Sul, Universidade Federal Fluminense, University College London, Universidade Federal do Espírito Santo, Neste Oil (Finland), Universidad Técnica Federico Santa María
ORCID: 0000-0003-1561-8447
Observed ORCID: 0000-0003-1561-8447
OpenAlex ID: A5005735333
Self-driving cars: A survey
2020 · Claudine Badue, Rânik Guidolini, et al. · Expert Systems with Applications · 1,365
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Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order
2016 · André Teixeira Lopes, Edilson de Aguiar, et al. · Pattern Recognition · 823
Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection
2021 · Lucas Tabelini, Rodrigo Berriel, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 548
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PolyLaneNet: Lane Estimation via Deep Polynomial Regression
2021 · Lucas Tabelini, Rodrigo Berriel, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 411
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A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place
2016 · Colin Rennie, Rahul Shome, et al. · IEEE Robotics and Automation Letters · 187
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Prediction-based portfolio optimization model using neural networks
2009 · Fabio D. Freitas, Alberto F. De Souza, et al. · Neurocomputing · 177
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
2018 · Jacson Rodrigues Correia-Silva, Rodrigo F. Berriel, et al. · International Joint Conference on Neural Networks (IJCNN) · 168
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Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
2019 · Vinicius F. Arruda, Thiago M. Paixao, et al. · International Joint Conference on Neural Networks (IJCNN) · 138
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Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
2019 · Lucas C. Possatti, Ranik Guidolini, et al. · International Joint Conference on Neural Networks (IJCNN) · 86
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Large-scale mapping in complex field scenarios using an autonomous car
2015 · Filipe Mutz, Lucas P. Veronese, et al. · Expert Systems with Applications · 86
Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification
2017 · Rodrigo F. Berriel, Andre Teixeira Lopes, et al. · IEEE Geoscience and Remote Sensing Letters · 60
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Ego-Lane Analysis System (ELAS): Dataset and algorithms
2017 · Rodrigo F. Berriel, Edilson de Aguiar, et al. · Image and Vision Computing · 56
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Yolo-Papaya: A Papaya Fruit Disease Detector and Classifier Using CNNs and Convolutional Block Attention Modules
2023 · Jairo Lucas de Moraes, Jorcy de Oliveira Neto, et al. · Electronics · 55
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Automated multi-label text categorization with VG-RAM weightless neural networks
2009 · Alberto F. De Souza, Felipe Pedroni, et al. · Neurocomputing · 47
Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach
2017 · Rodrigo F. Berriel, Franco Schmidt Rossi, et al. · Computers & Graphics · 44
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EEG motor imagery classification using deep learning approaches in naïve BCI users
2023 · Cristian D Guerrero-Mendez, Cristian F Blanco-Diaz, et al. · Biomedical Physics & Engineering Express · 35
Re-emission and satellite aerial maps applied to vehicle localization on urban environments
2015 · Lucas De Paula Veronese, Edilson de Aguiar, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 35
Evaluating the Limits of a LiDAR for an Autonomous Driving Localization
2020 · Lucas de Paula Veronese, Fernando Auat-Cheein, et al. · IEEE Transactions on Intelligent Transportation Systems · 34
Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames
2019 · Renan Sarcinelli, Rânik Guidolini, et al. · Computers & Graphics · 34
A Model-Predictive Motion Planner for the IARA autonomous car
2017 · Vinicius Cardoso, Josias Oliveira, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 34
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A light-weight yet accurate localization system for autonomous cars in large-scale and complex environments
2016 · Lucas De Paula Veronese, Jose Guivant, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 32
Cross-domain object detection using unsupervised image translation
2021 · Vinicius F. Arruda, Rodrigo F. Berriel, et al. · Expert Systems with Applications · 27
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Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?
2021 · Jacson Rodrigues Correia-Silva, Rodrigo F. Berriel, et al. · Pattern Recognition · 24
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Simple and Effective Load Volume Estimation in Moving Trucks using LiDARs
2019 · Lucas L. Amorim, Filipe Mutz, et al. · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · 23
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
2019 · Lucas Tabelini Torres, Thiago M. Paixao, et al. · International Joint Conference on Neural Networks (IJCNN) · 22
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Works count: 201
Citation count: 5,266
H-index: 23
I10-index: 58
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