Artur Jordão

According to our database, Artur Jordão authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Effective Layer Pruning Through Similarity Metric Perspective.

Ian Pons, Bruno Yamamoto, Anna H. Reali Costa, Artur Jordão

CoRR, 2024

Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing.

Marcel R. de Barros, Andressa Pinto, Andres Monroy, Felipe M. Moreno, Jefferson F. Coelho, Aldomar Pietro Silva, Caio Fabricio Deberaldini Netto, José Roberto Leite, Marlon S. Mathias, Eduardo Aoun Tannuri, Artur Jordão, Edson S. Gomi, Fábio Gagliardi Cozman, Marcelo Dottori, Anna Helena Reali Costa

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Detection and Classification of Animal Crossings on Roads Using IoT-Based WiFi Sensing.

Samuel Vieira Ducca, Artur Jordão, Cíntia Borges Margi

Proceedings of the IEEE Latin-American Conference on Communications, 2023

When Layers Play the Lottery, all Tickets Win at Initialization.

Artur Jordão, George Corrêa de Araújo, Helena de Almeida Maia, Hélio Pedrini

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single Image Super-Resolution Based on Capsule Neural Networks.

George Corrêa de Araújo, Artur Jordão, Hélio Pedrini

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2021

A content-based late fusion approach applied to pedestrian detection.

Jessica Sena, Artur Jordão, William Robson Schwartz

J. Vis. Commun. Image Represent., 2021

Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method.

Artur Jordão, Maiko M. I. Lie, Victor Hugo Cunha de Melo, William Robson Schwartz

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On the Effect of Pruning on Adversarial Robustness.

Artur Jordão, Hélio Pedrini

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Discriminative Layer Pruning for Convolutional Neural Networks.

Artur Jordão, Maiko Lie, William Robson Schwartz

IEEE J. Sel. Top. Signal Process., 2020

Deep network compression based on partial least squares.

Artur Jordão, Fernando Yamada, William Robson Schwartz

Neurocomputing, 2020

Depth-Wise Neural Architecture Search.

Artur Jordão, Fernando Akio, Maiko Lie, William Robson Schwartz

CoRR, 2020

Stage-Wise Neural Architecture Search.

Artur Jordão, Fernando Akio, Maiko M. I. Lie, William Robson Schwartz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Novel approaches to human activity recognition based on accelerometer data.

Artur Jordão, Leonardo Antônio Borges Torres, William Robson Schwartz

Signal Image Video Process., 2018

Pruning Deep Neural Networks using Partial Least Squares.

Artur Jordão, Fernando Yamada, William Robson Schwartz

CoRR, 2018

Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art.

Artur Jordão, Antonio C. Nazare Jr., Jessica Sena, William Robson Schwartz

CoRR, 2018

Latent HyperNet: Exploring the Layers of Convolutional Neural Networks.

Artur Jordão, Ricardo Barbosa Kloss, William Robson Schwartz

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Face Verification: Strategies for Employing Deep Models.

Ricardo Barbosa Kloss, Artur Jordão, William Robson Schwartz

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

Latent hypernet: Exploring all Layers from Convolutional Neural Networks.

Artur Jordão, Ricardo Barbosa Kloss, William Robson Schwartz

CoRR, 2017

Boosted Projection: An Ensemble of Transformation Models.

Ricardo Barbosa Kloss, Artur Jordão, William Robson Schwartz

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

A late fusion approach to combine multiple pedestrian detectors.

Artur Jordão, Jessica Sena de Souza, William Robson Schwartz

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Oblique random forest based on partial least squares applied to pedestrian detection.

Artur Jordão Lima Correia, William Robson Schwartz

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016