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2020 – today
- 2025
[j31]Cristian David Guerrero-Méndez
, Cristian Felipe Blanco-Díaz, Hamilton Rivera-Flor, Claudine Badue, Alberto Ferreira de Souza, Denis Delisle Rodríguez, Teodiano Freire Bastos-Filho:
Enhancing complex upper-limb motor imagery discrimination through an incremental training strategy. Biomed. Signal Process. Control. 99: 106837 (2025)- 2024
- [c68]Joao Felipe Gobeti Calenzani, Victor Nascimento Neves, Lucas Thom Ramos, Lauro Jose Lyrio Junior, Luiz C. S. Magnago, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
A Study on the Effectiveness of GPT-4V in Classifying Driver Behavior Captured on Video Using Just a Few Frames per Video. IJCNN 2024: 1-9 - [c67]Matheus Meier Schreiber, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
A Mobile Application for Speed Bump Sign Detection Using Neural Networks. IJCNN 2024: 1-8 - [c66]Leandro Furlam Turi, Athus Cavalini, Giovanni Comarela, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Analysis of Bias in GPT Language Models through Fine-tuning Containing Divergent Data. IJCNN 2024: 1-8 - 2022
- [j30]Vinicius F. Arruda, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Nicu Sebe, Thiago Oliveira-Santos:
Cross-domain object detection using unsupervised image translation. Expert Syst. Appl. 192: 116334 (2022) - [j29]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Deep traffic sign detection and recognition without target domain real images. Mach. Vis. Appl. 33(3): 50 (2022) - [j28]Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
A human-in-the-loop recommendation-based framework for reconstruction of mechanically shredded documents. Pattern Recognit. Lett. 164: 1-8 (2022) - [c65]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling. IJCNN 2022: 1-7 - [c64]Letícia C. Navarro, Lucas L. Amorim, Rodrigo Ferreira Berriel, Thiago M. Paixão, Vinicius Rampinelli, Luiz A. Wasem, Lucas Quaresma, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Temperature Prediction in Blast Furnaces: A Machine Learning Comparative Study. SIBGRAPI 2022: 192-197 - [c63]Cézar Augusto Gobbo Passamani, Victor Nascimento Neves, Lauro Jose Lyrio Junior, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
A Method to Estimate COVID-19 Contamination Risk Based on Social Distancing and Face Mask Detection Using Convolutional Neural Networks. SIBGRAPI 2022: 282-287 - 2021
- [j27]Jean Pablo Vieira de Mello, Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Deep traffic light detection by overlaying synthetic context on arbitrary natural images. Comput. Graph. 94: 76-86 (2021) - [j26]Claudine Badue, Rânik Guidolini, Raphael Vivacqua Carneiro, Pedro Azevedo, Vinicius B. Cardoso, Avelino Forechi, Luan F. R. Jesus, Rodrigo Ferreira Berriel, Thiago M. Paixão, Filipe Wall Mutz, Lucas de Paula Veronese, Thiago Oliveira-Santos, Alberto F. De Souza:
Self-driving cars: A survey. Expert Syst. Appl. 165: 113816 (2021) - [j25]Filipe Wall Mutz, Thiago Oliveira-Santos, Avelino Forechi, Karin Satie Komati, Claudine Badue, Felipe M. G. França, Alberto F. De Souza:
What is the best grid-map for self-driving cars localization? An evaluation under diverse types of illumination, traffic, and environment. Expert Syst. Appl. 179: 115077 (2021) - [j24]Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models? Pattern Recognit. 113: 107830 (2021) - [j23]Lucas de Paula Veronese, Fernando Alfredo Auat Cheeín, Filipe Wall Mutz, Thiago Oliveira-Santos, José E. Guivant, Edilson de Aguiar, Claudine Badue, Alberto Ferreira de Souza:
Evaluating the Limits of a LiDAR for an Autonomous Driving Localization. IEEE Trans. Intell. Transp. Syst. 22(3): 1449-1458 (2021) - [c62]Josias Oliveira, Filipe Wall Mutz, Avelino Forechi, Pedro Azevedo, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue:
Long-Term Map Maintenance in Complex Environments. BRACIS (2) 2021: 146-161 - [c61]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection. CVPR 2021: 294-302 - [c60]Jairo Lucas de Moraes, Jorcy de Oliveira Neto, Jacson Rodrigues Correia da Silva, Thiago M. Paixão, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Sisfrutos Papaya: A Dataset for Detection and Classification of Diseases in Papaya. ICANN (2) 2021: 28-39 - [c59]Anderson Mozart, Gabriel Moraes, Rânik Guidolini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue:
Path Planning in Unstructured Urban Environments for Self-driving Cars. ICINCO 2021: 290-300 - [c58]Thiago Gonçalves Cavalcante, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue, Avelino Forechi:
Visual Global Localization Based on Deep Neural Netwoks for Self-Driving Cars. IJCNN 2021: 1-7 - [c57]Sabrina S. Panceri, Filipe Wall Mutz, Vinicius B. Cardoso, Raphael V. Carneiro, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Detecting Cancerous Tissue in Mammograms Using Deep Neural Networks. IJCNN 2021: 1-8 - [i23]Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models? CoRR abs/2101.08717 (2021) - [i22]Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Ferreira Berriel, Mauricio Reyes, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Deep Learning-based Type Identification of Volumetric MRI Sequences. CoRR abs/2106.03208 (2021) - 2020
- [j22]Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Self-supervised deep reconstruction of mixed strip-shredded text documents. Pattern Recognit. 107: 107535 (2020) - [c56]Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning. CVPR 2020: 14331-14339 - [c55]Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Ferreira Berriel, Mauricio Reyes, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Deep Learning-based Type Identification of Volumetric MRI Sequences. ICPR 2020: 5674-5681 - [c54]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
PolyLaneNet: Lane Estimation via Deep Polynomial Regression. ICPR 2020: 6150-6156 - [c53]Vinicius B. Cardoso, André Seidel Oliveira, Avelino Forechi, Pedro Azevedo, Filipe Wall Mutz, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
A Large-Scale Mapping Method Based on Deep Neural Networks Applied to Self-Driving Car Localization. IJCNN 2020: 1-8 - [c52]Gabriel Moraes, Anderson Mozart, Pedro Azevedo, Marcos Piumbini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Alberto F. De Souza, Claudine Badue:
Image-Based Real-Time Path Generation Using Deep Neural Networks. IJCNN 2020: 1-8 - [c51]Leonardo S. Paulucio, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Product Categorization by Title Using Deep Neural Networks as Feature Extractor. IJCNN 2020: 1-7 - [i21]Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning. CoRR abs/2003.10063 (2020) - [i20]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
PolyLaneNet: Lane Estimation via Deep Polynomial Regression. CoRR abs/2004.10924 (2020) - [i19]Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents. CoRR abs/2007.00779 (2020) - [i18]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images. CoRR abs/2008.00962 (2020) - [i17]Filipe Wall Mutz, Thiago Oliveira-Santos, Avelino Forechi, Karin Satie Komati, Claudine Badue, Felipe M. G. França, Alberto F. De Souza:
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment. CoRR abs/2009.09308 (2020) - [i16]Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Keep your Eyes on the Lane: Attention-guided Lane Detection. CoRR abs/2010.12035 (2020) - [i15]Jean Pablo Vieira de Mello, Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto Ferreira de Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Deep traffic light detection by overlaying synthetic context on arbitrary natural images. CoRR abs/2011.03841 (2020)
2010 – 2019
- 2019
- [j21]Renan Sarcinelli, Rânik Guidolini, Vinicius B. Cardoso, Thiago M. Paixão, Rodrigo Ferreira Berriel, Pedro Azevedo, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames. Comput. Graph. 84: 173-184 (2019) - [j20]Lucas de Paula Veronese, Claudine Badue, Fernando Alfredo Auat Cheeín, José E. Guivant, Alberto Ferreira de Souza:
A single sensor system for mapping in GNSS-denied environments. Cogn. Syst. Res. 56: 246-261 (2019) - [c50]Vinicius F. Arruda, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. IJCNN 2019: 1-8 - [c49]Pedro Azevedo, Sabrina S. Panceri, Ranik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks. IJCNN 2019: 1-8 - [c48]Ranik Guidolini, Raphael V. Carneiro, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Removing Movable Objects from Grid Maps of Self-Driving Cars Using Deep Neural Networks. IJCNN 2019: 1-8 - [c47]Lucas C. Possatti, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. IJCNN 2019: 1-8 - [c46]Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images. IJCNN 2019: 1-7 - [c45]Lucas L. Amorim, Filipe Wall Mutz, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Simple and Effective Load Volume Estimation in Moving Trucks using LiDARs. SIBGRAPI 2019: 210-217 - [i14]Claudine Badue, Ranik Guidolini, Raphael Vivacqua Carneiro, Pedro Azevedo, Vinicius Brito Cardoso, Avelino Forechi, Luan Ferreira Reis Jesus, Rodrigo Ferreira Berriel, Thiago Meireles Paixão, Filipe Wall Mutz, Thiago Oliveira-Santos, Alberto Ferreira de Souza:
Self-Driving Cars: A Survey. CoRR abs/1901.04407 (2019) - [i13]Lucas C. Possatti, Ranik Guidolini, Vinicius B. Cardoso, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars. CoRR abs/1906.11886 (2019) - [i12]Vinicius F. Arruda, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night. CoRR abs/1907.08719 (2019) - [i11]Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images. CoRR abs/1907.09679 (2019) - [i10]Pedro Azevedo, Sabrina S. Panceri, Ranik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks. CoRR abs/1910.00944 (2019) - 2018
- [j19]Javier Castillo-Garcia, Sandra M. T. Muller, Eduardo Francisco Caicedo Bravo, Teodiano F. Bastos, Alberto F. De Souza:
Nonfatigating Brain-Computer Interface Based on SSVEP and ERD to Command an Autonomous Car. Adv. Data Sci. Adapt. Anal. 10(2): 1840005:1-1840005:22 (2018) - [c44]Heraclito A. Pereira, Alberto F. De Souza, Crediné Silva de Menezes:
Obtaining evidence of learning in digital games through a deep learning neural network to classify facial expressions of the players. FIE 2018: 1-8 - [c43]Marta Amorim, Frederico Damasceno Bortoloti, Patrick Marques Ciarelli, Elias de Oliveira, Alberto Ferreira de Souza:
Analysing rotation-invariance of a log-polar transformation in convolutional neural networks. IJCNN 2018: 1-6 - [c42]Rodrigo Ferreira Berriel, Lucas Tabelini Torres, Vinicius B. Cardoso, Ranik Guidolini, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition. IJCNN 2018: 1-8 - [c41]Raphael V. Carneiro, Rafael Correia Nascimento, Ranik Guidolini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Mapping Road Lanes Using Laser Remission and Deep Neural Networks. IJCNN 2018: 1-8 - [c40]Avelino Forechi, Thiago Oliveira-Santos, Claudine Badue, Alberto Ferreira de Souza:
Visual Global Localization with a Hybrid WNN-CNN Approach. IJCNN 2018: 1-9 - [c39]Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data. IJCNN 2018: 1-8 - [c38]Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
A Deep Learning-Based Compatibility Score for Reconstruction of Strip-Shredded Text Documents. SIBGRAPI 2018: 87-94 - [i9]Raphael V. Carneiro, Rafael Correia Nascimento, Ranik Guidolini, Vinicius B. Cardoso, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Mapping Road Lanes Using Laser Remission and Deep Neural Networks. CoRR abs/1804.10662 (2018) - [i8]Avelino Forechi, Thiago Oliveira-Santos, Claudine Badue, Alberto F. De Souza:
Visual Global Localization with a Hybrid WNN-CNN Approach. CoRR abs/1805.03183 (2018) - [i7]Rodrigo Ferreira Berriel, Franco Schmidt Rossi, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach. CoRR abs/1805.11970 (2018) - [i6]Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data. CoRR abs/1806.05476 (2018) - [i5]Rodrigo Ferreira Berriel, Edilson de Aguiar, Alberto F. De Souza, Thiago Oliveira-Santos:
Ego-Lane Analysis System (ELAS): Dataset and Algorithms. CoRR abs/1806.05984 (2018) - [i4]Thomas Teixeira, Filipe Wall Mutz, Vinicius B. Cardoso, Lucas de Paula Veronese, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Map Memorization and Forgetting in the IARA Autonomous Car. CoRR abs/1810.02355 (2018) - 2017
- [j18]Rodrigo Ferreira Berriel, Franco Schmidt Rossi, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach. Comput. Graph. 68: 32-42 (2017) - [j17]Rodrigo Ferreira Berriel, Edilson de Aguiar, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Ego-Lane Analysis System (ELAS): Dataset and algorithms. Image Vis. Comput. 68: 64-75 (2017) - [j16]Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alberto F. De Souza, Thiago Oliveira-Santos:
Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification. IEEE Geosci. Remote. Sens. Lett. 14(9): 1513-1517 (2017) - [j15]Andre Teixeira Lopes, Edilson de Aguiar, Alberto F. De Souza, Thiago Oliveira-Santos:
Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order. Pattern Recognit. 61: 610-628 (2017) - [c37]Vinicius Cardoso, Josias Oliveira, Thomas Teixeira, Claudine Badue, Filipe Wall Mutz, Thiago Oliveira-Santos, Lucas de Paula Veronese, Alberto F. De Souza:
A Model-Predictive Motion Planner for the IARA autonomous car. ICRA 2017: 225-230 - [c36]Ranik Guidolini, Alberto F. De Souza, Filipe Wall Mutz, Claudine Badue:
Neural-based model predictive control for tackling steering delays of autonomous cars. IJCNN 2017: 4324-4331 - [c35]Filipe Wall Mutz, Vinicius Cardoso, Thomas Teixeira, Luan F. R. Jesus, Michael André Golçalves, Ranik Guidolini, Josias Oliveira, Claudine Badue, Alberto Ferreira de Souza:
Following the leader using a tracking system based on pre-trained deep neural networks. IJCNN 2017: 4332-4339 - [i3]Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification. CoRR abs/1706.09302 (2017) - 2016
- [j14]Fábio Daros Freitas, Christian Daros Freitas, Alberto Ferreira de Souza:
Intelligent trading architecture. Concurr. Comput. Pract. Exp. 28(3): 929-943 (2016) - [j13]Filipe Wall Mutz, Lucas de Paula Veronese, Thiago Oliveira-Santos, Edilson de Aguiar, Fernando Alfredo Auat Cheeín, Alberto Ferreira de Souza:
Large-scale mapping in complex field scenarios using an autonomous car. Expert Syst. Appl. 46: 439-462 (2016) - [j12]Avelino Forechi, Alberto F. De Souza, Jorcy de Oliveira Neto, Edilson de Aguiar, Claudine Badue, Artur S. d'Avila Garcez, Thiago Oliveira-Santos:
Fat-Fast VG-RAM WNN: A high performance approach. Neurocomputing 183: 56-69 (2016) - [j11]Mariella Berger, Alberto F. De Souza, Jorcy de Oliveira Neto, Edilson de Aguiar, Thiago Oliveira-Santos:
Visual tracking with VG-RAM Weightless Neural Networks. Neurocomputing 183: 90-105 (2016) - [j10]Lucas de Paula Veronese, Fernando Alfredo Auat Cheeín, Teodiano Freire Bastos-Filho, Alberto Ferreira de Souza, Edilson de Aguiar:
A Computational Geometry Approach for Localization and Tracking in GPS-denied Environments. J. Field Robotics 33(7): 946-966 (2016) - [j9]Colin Rennie, Rahul Shome, Kostas E. Bekris, Alberto F. De Souza:
A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place. IEEE Robotics Autom. Lett. 1(2): 1179-1185 (2016) - [c34]Zakary Littlefield, Shaojun Zhu, Hristiyan Kourtev, Zacharias Psarakis, Rahul Shome, Andrew Kimmel, Andrew Dobson, Alberto Ferreira de Souza, Kostas E. Bekris:
Evaluating end-effector modalities for warehouse picking: A vacuum gripper vs a 3-finger underactuated hand. CASE 2016: 1190-1195 - [c33]Heraclito A. Pereira, Alberto F. De Souza, Crediné Silva de Menezes:
A Computational Architecture for Learning Analytics in Game-Based Learning. ICALT 2016: 191-193 - [c32]Alberto F. De Souza, Jacson Rodrigues Correia da Silva, Filipe Wall Mutz, Claudine Badue, Thiago Oliveira-Santos:
Simulating robotic cars using time-delay neural networks. IJCNN 2016: 1261-1268 - [c31]Avelino Forechi, Alberto Ferreira de Souza, Claudine Badue, Thiago Oliveira-Santos:
Sequential appearance-based Global Localization using an ensemble of kNN-DTW classifiers. IJCNN 2016: 2782-2789 - [c30]Lucas de Paula Veronese, José E. Guivant, Fernando Alfredo Auat Cheeín, Thiago Oliveira-Santos, Filipe Wall Mutz, Edilson de Aguiar, Claudine Badue, Alberto F. De Souza:
A light-weight yet accurate localization system for autonomous cars in large-scale and complex environments. ITSC 2016: 520-525 - [c29]Ranik Guidolini, Claudine Badue, Mariella Berger, Lucas de Paula Veronese, Alberto F. De Souza:
A simple yet effective obstacle avoider for the IARA autonomous car. ITSC 2016: 1914-1919 - [i2]Vinicius Cardoso, Josias Oliveira, Thomas Teixeira, Claudine Badue, Filipe Wall Mutz, Thiago Oliveira-Santos, Lucas de Paula Veronese, Alberto F. De Souza:
A Model-Predictive Motion Planner for the IARA Autonomous Car. CoRR abs/1611.04552 (2016) - 2015
- [c28]Lauro Jose Lyrio Junior, Thiago Oliveira-Santos, Claudine Badue, Alberto Ferreira de Souza:
Image-based mapping, global localization and position tracking using VG-RAM weightless neural networks. ICRA 2015: 3603-3610 - [c27]Lucas de Paula Veronese, Edilson de Aguiar, Rafael Correia Nascimento, José E. Guivant, Fernando Alfredo Auat Cheeín, Alberto Ferreira de Souza, Thiago Oliveira-Santos:
Re-emission and satellite aerial maps applied to vehicle localization on urban environments. IROS 2015: 4285-4290 - [i1]Colin Rennie, Rahul Shome, Kostas E. Bekris, Alberto F. De Souza:
A Dataset for Improved RGBD-based Object Detection and Pose Estimation for Warehouse Pick-and-Place. CoRR abs/1509.01277 (2015) - 2014
- [c26]Rômulo Ramos Radaelli, Claudine Badue, Michael André Gonçalves, Thiago Oliveira-Santos, Alberto F. De Souza:
A Motion Planner for Car-Like Robots Based on Rapidly-Exploring Random Trees. IBERAMIA 2014: 469-480 - [c25]Edilson de Aguiar, Avelino Forechi, Lucas de Paula Veronese, Mariella Berger, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Compressing VG-RAM WNN memory for lightweight applications. IJCNN 2014: 1063-1070 - [c24]Lauro Jose Lyrio Junior, Thiago Oliveira-Santos, Avelino Forechi, Lucas de Paula Veronese, Claudine Badue, Alberto F. De Souza:
Image-based global localization using VG-RAM Weightless Neural Networks. IJCNN 2014: 3363-3370 - [c23]Alberto F. De Souza, Avelino Forechi, Filipe Wall Mutz, Mariella Berger, Thiago Oliveira-Santos, Claudine Badue:
Programming a VG-RAM based Neural Network Computer. IJCNN 2014: 3871-3878 - 2013
- [c22]Vitor B. Azevedo, Alberto F. De Souza, Lucas de Paula Veronese, Claudine Badue, Mariella Berger:
Real-time road surface mapping using stereo matching, v-disparity and machine learning. IJCNN 2013: 1-8 - [c21]Alberto F. De Souza, Cayo Fontana, Filipe Wall Mutz, Tiago Alves de Oliveira, Mariella Berger, Avelino Forechi, Jorcy de Oliveira Neto, Edilson de Aguiar, Claudine Badue:
Traffic sign detection with VG-RAM weightless neural networks. IJCNN 2013: 1-9 - [c20]Fábio Daros Freitas, Christian Daros Freitas, Alberto Ferreira de Souza:
System architecture for on-line optimization of automated trading strategies. WHPCF@SC 2013: 4:1-4:8 - 2012
- [j8]Alberto F. De Souza, Fábio Darios Freitas, André Gustavo Coelho de Almeida:
Fast learning and predicting of stock returns with virtual generalized random access memory weightless neural networks. Concurr. Comput. Pract. Exp. 24(8): 921-933 (2012) - [c19]Mariella Berger, Avelino Forechi, Alberto F. De Souza, Jorcy de Oliveira Neto, Lucas de Paula Veronese, Claudine Badue:
Traffic sign recognition with VG-RAM Weightless Neural Networks. ISDA 2012: 315-319 - [c18]Hélio Perroni Filho, Alberto Ferreira de Souza:
A biology-based template-matching framework. ISDA 2012: 326-331 - [c17]Alberto F. De Souza, Lucas de Paula Veronese, Leonardo Muniz de Lima, Claudine Badue, Lucia Catabriga:
Evaluation of Two Parallel Finite Element Implementations of the Time-Dependent Advection Diffusion Problem: GPU versus Cluster Considering Time and Energy Consumption. VECPAR 2012: 149-162 - 2011
- [e2]Jean-Luc Gaudiot, Alba C. M. A. Melo, Alberto F. De Souza, Lucia Catabriga:
23rd International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2011, Vitória, Espírito Santo, Brazil, October 26-29, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4573-8 [contents] - 2010
- [c16]Hélio Perroni Filho, Alberto F. De Souza:
VG-RAM WNN Approach to Monocular Depth Perception. ICONIP (2) 2010: 509-516 - [c15]Felipe Pedroni, Alberto Ferreira de Souza, Claudine Badue:
The Dynamic Block Remapping Cache. SBAC-PAD 2010: 111-118
2000 – 2009
- 2009
- [j7]Fábio Darios Freitas, Alberto F. De Souza, Ailson R. de Almeida:
Prediction-based portfolio optimization model using neural networks. Neurocomputing 72(10-12): 2155-2170 (2009) - [j6]Alberto Ferreira de Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese, Claudine Badue:
Automated multi-label text categorization with VG-RAM weightless neural networks. Neurocomputing 72(10-12): 2209-2217 (2009) - [e1]Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk, Felipe Maia Galvão França, Alberto Ferreira de Souza:
Intelligent Text Categorization and Clustering. Studies in Computational Intelligence 164, Springer 2009 [contents] - 2008
- [j5]Alberto Ferreira de Souza, Rajkumar Buyya:
Introduction to the Special Issue on the 18th International Symposium on Computer Architecture and High Performance Computing. Int. J. Parallel Program. 36(2): 163-165 (2008) - [j4]Peter Rounce, Alberto Ferreira de Souza:
Dynamic Instruction Scheduling in a Trace-based Multi-threaded Architecture. Int. J. Parallel Program. 36(2): 184-205 (2008) - [c14]Alberto Ferreira de Souza, Claudine Badue, Felipe Pedroni, Elias Oliveira, Stiven Schwanz Dias, Hallysson Oliveira, Sotério Ferreira de Souza:
Face Recognition with VG-RAM Weightless Neural Networks. ICANN (1) 2008: 951-960 - [c13]Alberto Ferreira de Souza, Claudine Badue, Bruno Zanetti Melotti, Felipe Pedroni, Fernando Libio L. Almeida:
Improving VG-RAM WNN Multi-label Text Categorization via Label Correlation. ISDA (1) 2008: 437-442 - [c12]Elias Oliveira, Patrick Marques Ciarelli, Claudine Badue, Alberto Ferreira de Souza:
A Comparison between a KNN Based Approach and a PNN Algorithm for a Multi-label Classification Problem. ISDA (2) 2008: 628-633 - [c11]Alberto Ferreira de Souza, Sotério Ferreira de Souza, Claudio Luis de Amorim, Priscila M. V. Lima, Peter Rounce:
Hardware Supported Synchronization Primitives for Clusters. PDPTA 2008: 520-526 - [c10]Claudine Badue, Felipe Pedroni, Alberto Ferreira de Souza:
Multi-label Text Categorization Using VG-RAM Weightless Neural Networks. SBRN 2008: 105-110 - [c9]Elias Oliveira, Patrick Marques Ciarelli, Alberto Ferreira de Souza, Claudine Badue:
Using a Probabilistic Neural Network for a Large Multi-label Problem. SBRN 2008: 195-200 - 2007
- [c8]Alberto F. De Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas de Paula Veronese:
Automated Free Text Classification of Economic Activities Using VG-RAM Weightless Neural Networks. ISDA 2007: 782-787 - 2006
- [c7]Raphael V. Carneiro, Stiven Schwanz Dias, Dijalma Fardin, Hallysson Oliveira, Artur S. d'Avila Garcez, Alberto Ferreira de Souza:
Improving VG-RAM Neural Networks Performance Using Knowledge Correlation. ICONIP (1) 2006: 427-436 - [c6]Peter Rounce, Alberto Ferreira de Souza:
The mDTSVLIW: a Multi-Threaded Trace-based VLIW Architecture. SBAC-PAD 2006: 63-72 - 2003
- [c5]João Paulo De Angeli, Andréa M. P. Valli, Neyval C. Reis Jr., Alberto Ferreira de Souza:
Finite Difference Simulations of the Navier-Stokes Equations Using Parallel Distributed Computing. SBAC-PAD 2003: 149-157 - 2000
- [j3]Alberto Ferreira de Souza, Peter Rounce:
Dynamically Scheduling VLIW Instructions. J. Parallel Distributed Comput. 60(12): 1480-1511 (2000) - [c4]Alberto Ferreira de Souza, Peter Rounce:
On the Scheduling Algorithm of the Dynamically Trace Scheduled VLIW Architecture. IPDPS 2000: 565-572
1990 – 1999
- 1999
- [b1]Alberto Ferreira de Souza:
Integer performance evaluation of the dynamically trace scheduled VLIW. University College London, UK, 1999 - [c3]Alberto Ferreira de Souza, Peter Rounce:
Effect of Multicycle Intructions on the Integer Performance of the Dynamixcally Trace Scheduled VLIW Architecture. HPCN Europe 1999: 1203-1206 - [c2]Alberto Ferreira de Souza, Peter Rounce:
Dynamically Scheduling the Trace Produced During Program Execution into VLIW Instructions. IPPS/SPDP 1999: 248-257 - 1998
- [c1]Alberto Ferreira de Souza, Peter Rounce:
Dynamically Trace Scheduled VLIW Architectures. HPCN Europe 1998: 993-995 - 1997
- [j2]Alberto Ferreira de Souza, Edil S. T. Fernandes, Andrew Wolfe:
On the balance of VLIW architectures. J. Syst. Archit. 43(1-5): 15-22 (1997) - 1991
- [j1]Edil S. T. Fernandes, Valmir C. Barbosa, Alberto Ferreira de Souza, Nelson Q. Vasconcelos:
Micro-instruction placement by simulated annealing. Microprocessing and Microprogramming 32(1-5): 23-28 (1991)
Coauthor Index
[j31] [c68] [c67] [c66] [j30] [j29] [j28] [c65] [c64] [c63] [j27] [j26] [j25] [j24] [j23] [c62] [c61] [c60] [c59] [c58] [c57] [i23] [i22] [j22] [c56] [c55] [c54] [c53] [c52] [c51] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j21] [j20] [c50] [c49] [c48] [c47] [c46] [c45] [i14] [i13] [i12] [i11] [i10] [c42] [c41] [c40] [c39] [c38] [i9] [i8] [i6] [i4] [c37] [c36] [c35] [j12] [c32] [c31] [c30] [c29] [i2] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c19] [c17] [c15] [j6] [c14] [c13] [c12] [c10] [c9]
Ranik Guidolini
aka: Rânik Guidolini
aka: Rânik Guidolini
[c68] [c67] [c66] [j30] [j29] [j28] [c65] [c64] [c63] [j27] [j26] [j25] [j24] [j23] [c62] [c61] [c60] [c59] [c58] [c57] [i23] [i22] [j22] [c56] [c55] [c54] [c53] [c52] [c51] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j21] [c50] [c49] [c48] [c47] [c46] [c45] [i14] [i13] [i12] [i11] [i10] [c42] [c41] [c40] [c39] [c38] [i9] [i8] [i7] [i6] [i5] [i4] [j18] [j17] [j16] [j15] [c37] [i3] [j13] [j12] [j11] [c32] [c31] [c30] [i2] [c28] [c27] [c26] [c25] [c24] [c23]
Thiago Meireles Paixão
aka: Thiago M. Paixão
aka: Thiago M. Paixão
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