Oblique random forest based on partial least squares applied to pedestrian detection. - Artur Jordão Lima Correia; William Robson Schwartz (ICIP, 2016)

A late fusion approach to combine multiple pedestrian detectors. - Artur Jordão; Jessica Sena de Souza; William Robson Schwartz (ICPR, 2016)

Boosted Projection: An Ensemble of Transformation Models. - Ricardo Barbosa Kloss; Artur Jordão; William Robson Schwartz (CIARP, 2017)

Latent hypernet: Exploring all Layers from Convolutional Neural Networks. - Artur Jordão; Ricardo Barbosa Kloss; William Robson Schwartz (CoRR, 2017)

Face Verification: Strategies for Employing Deep Models. - Ricardo Barbosa Kloss; Artur Jordão; William Robson Schwartz (FG, 2018)

Latent HyperNet: Exploring the Layers of Convolutional Neural Networks. - Artur Jordão; Ricardo Barbosa Kloss; William Robson Schwartz (IJCNN, 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)

Pruning Deep Neural Networks using Partial Least Squares. - Artur Jordão; Fernando Yamada; William Robson Schwartz (CoRR, 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)

Stage-Wise Neural Architecture Search. - Artur Jordão; Fernando Akio; Maiko M. I. Lie; William Robson Schwartz (ICPR, 2020)

Depth-Wise Neural Architecture Search. - Artur Jordão; Fernando Akio; Maiko Lie 001; William Robson Schwartz (CoRR, 2020)

Deep network compression based on partial least squares. - Artur Jordão; Fernando Yamada; William Robson Schwartz (Neurocomputing, 2020)

Discriminative Layer Pruning for Convolutional Neural Networks. - Artur Jordão; Maiko Lie 001; William Robson Schwartz (IEEE J. Sel. Top. Signal Process., 2020)

Partial least squares: a deep space odyssey - Artur Jordão Lima Correia (2020)

On the Effect of Pruning on Adversarial Robustness. - Artur Jordão; Hélio Pedrini (ICCVW, 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 (WACV, 2021)

A content-based late fusion approach applied to pedestrian detection. - Jessica Sena; Artur Jordão; William Robson Schwartz (J. Vis. Commun. Image Represent., 2021)

Single Image Super-Resolution Based on Capsule Neural Networks. - George Corrêa de Araújo; Artur Jordão; Hélio Pedrini (BRACIS (3), 2023)

When Layers Play the Lottery, all Tickets Win at Initialization. - Artur Jordão; George Corrêa de Araújo; Helena de Almeida Maia; Hélio Pedrini (ICCV (Workshops), 2023)

Detection and Classification of Animal Crossings on Roads Using IoT-Based WiFi Sensing. - Samuel Vieira Ducca; Artur Jordão; Cíntia Borges Margi (LATINCOM, 2023)

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; et al. (AAAI, 2024)

Effective Layer Pruning Through Similarity Metric Perspective. - Ian Pons; Bruno Yamamoto; Anna Helena Reali Costa; Artur Jordão (ICPR (5), 2024)

Layer Pruning With Consensus: A Triple-Win Solution. - Leandro Giusti Mugnaini; Carolina Tavares Duarte; Anna Helena Reali Costa; Artur Jordão (IEEE Access, 2025)

Improving current forecast by Leveraging Measured Data and numerical models via LiESNs. - Felipe M. Moreno; Marcel R. de Barros; Artur Jordão; Marlon S. Mathias; Marcelo Dottori; Anna Helena Reali Costa; Edson S. Gomi; Fábio G. Cozman; Eduardo Aoun Tannuri (Environ. Model. Softw., 2025)

Efficient LLMs with AMP: Attention Heads and MLP Pruning. - Leandro Giusti Mugnaini; Bruno Yamamoto; Lucas Lauton de Alcantara; Victor Zacarias; Edson Bollis; Lucas F. A. O. Pellicer; Anna Helena Reali Costa; Artur Jordão (CoRR, 2025)

Improving Fairness in LLMs Through Testing-Time Adversaries. - Isabela Pereira Gregio; Ian Pons; Anna Helena Reali Costa; Artur Jordão (CoRR, 2025)

Pruning Everything, Everywhere, All at Once. - Gustavo Henrique do Nascimento; Ian Pons; Anna Helena Reali Costa; Artur Jordão (CoRR, 2025)

One Period to Rule Them All: Identifying Critical Learning Periods in Deep Networks. - Vinicius Yuiti Fukase; Heitor Gama; Bárbara Dias Bueno; Lucas Libanio; Anna Helena Reali Costa; Artur Jordão (CoRR, 2025)