Vinicius Yuiti Fukase, Heitor Gama, Barbara Bueno, Lucas Libanio, Anna Helena Reali Costa and Artur Jordao. When to Prune? The Importance of Timing in Data Efficiency Training. In: International Conference on Pattern Recognition (ICPR), 2026, Lyon, France.

Keith Ando Ogawa, Bruno Lopes Yamamoto, Lucas Lauton de Alcantara, Lucas Pellicer, Rosimeire Pereira Costa, Edson Bollis, Anna Helena Reali Costa and Artur Jordao. Layer-wise LoRA fine-tuning: a similarity metric approach. In: International Conference on Pattern Recognition (ICPR), 2026, Lyon, France.

Carolina Tavares, Leandro Mugnaini, Gustavo Henrique do Nascimento, Ian Pons, Keith Ogawa, Guilherme Stern, Lucas Libanio, Aline Paes, Anna Helena Reali Costa and Artur Jordao Tiny Titans: Efficient Large Vision, Language and Multimodal Models through Pruning. In: Conference on Graphics, Patterns and Images (SIBGRAPI), Tutorial Track, 2025, Salvador, Bahia.

Ian Pons, Guilherme B. Stern Anna H. Reali Costa and Artur Jordao. Enhancing Distilled Datasets via Natural Data Mixing. In: Conference on Graphics, Patterns and Images (SIBGRAPI), 2025, Salvador, Bahia.

Raul Cavalcante Dinardi, Bruno Yamamoto, Anna Helena Reali Costa and Artur Jordao. The Virtues of Brevity: Avoid overthinking in Parallel Test-Time Reasoning. In: Neural Information Processing Systems (NeurIPS) Workshop on Efficient Reasoning, 2025.

Gustavo Henrique do Nascimento, Ian Pons, Anna Helena Reali Costa and Artur Jordao. Pruning Everything, Everywhere, All at Once. In: International Joint Conference on Neural Networks (IJCNN), 2025, Rome, Italy.

Leandro Giusti Mugnaini, Bruno Lopes Yamamoto, Lucas Lauton de Alcantara, Victor Zacarias, Edson Bollis, Lucas Pellicer, Anna Helena Reali Costa and Artur Jordao. Efficient LLMs with AMP: Attention Heads and MLP Pruning. In: International Joint Conference on Neural Networks (IJCNN), 2025, Rome, Italy.

Ian Pons, Bruno Yamamoto, Anna H. Reali Costa and Artur Jordao. Effective Layer Pruning Through Similarity Metric Perspective. In: International Conference on Pattern Recognition (ICPR), 2024, Kolkata, India.

Artur Jordão, George Araújo, Helena de Almeida Maia and Hélio Pedrini. When Layers Play the Lottery, all Tickets Win at Initialization. In: International Conference on Computer Vision (ICCV), 2023, Paris, France.

Artur Jordão and Hélio Pedrini. On the Effect of Pruning on Adversarial Robustness. In: International Conference on Computer Vision (ICCV), 2021, Virtual.

Artur Jordão, Maiko Lie, Victor Hugo Cunha de Melo, William Robson Schwartz. Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method. In: Winter Conference on Applications of Computer Vision (WACV), 2021, Waikoloa, Hawaii.

Jessica Sena, Artur Jordao, William Robson Schwartz: A Content-Based Late Fusion Approach Applied to Pedestrian Detection. In: Journal of Visual Communication and Image Representation, 2021.

Artur Jordão, Maiko Lie, Fernando Yamada, William Robson Schwartz. DepthWise Neural Architecture Search. In: International Conference on Pattern Recognition (ICPR), 2020, Milan, Italy.

Artur Jordão, Fernando Yamada, William Robson Schwartz. Deep Network Compression based on Partial Least Squares. In: Neurocomputing, 2020.

Artur Jordão, Maiko Lie, William Robson Schwartz. Discriminative Layer Pruning for Convolutional Neural Networks. In: IEEE Journal of Selected Topics In Signal Processing, 2020.

Artur Jordão, Ricardo Barbosa Kloss, Fernando Yamada, William Robson Schwartz. Pruning Deep Neural Networks using Partial Least Squares. In: British Machine Vision Conference (BMVC) Workshops: Embedded AI for Real-Time Machine Vision, 2019, Cardiff, Wales.

Ricardo Barbosa Kloss, Artur Jordao, William Robson Schwartz. Face Verification Strategies for Employing Deep Models. In: International Conference on Automatic Face & Gesture Recognition (FG), 2018, Xi'an, China.

Artur Jordão, Ricardo Barbosa Kloss, William Robson Schwartz. Latent HyperNet Exploring the Layers. In: International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro, Brazil.

Artur Jordão, Leonardo Antônio Borges Torres, William Robson Schwartz. Novel Approaches to Human Activity Recognition based on Accelerometer Data. In: Signal, Image and Video Processing, 2018.

Ricardo Barbosa Kloss, Artur Jordão, William Robson Schwartz. Boosted Projection An Ensemble of Transformation Models. In: Iberoamerican Congress on Pattern Recognition (CIARP), 2017, Valparaíso, Chile.

Artur Jordao, William Robson Schwartz. Oblique Random Forest based on Partial Least Squares Applied to Pedestrian Detection. In: International Conference on Image Processing (ICIP), 2016, Phoenix, USA.

Artur Jordao, Jessica Sena de Souza, William Robson Schwartz. A Late Fusion Approach to Combine Multiple Pedestrian Detectors. In: International Conference on Pattern Recognition (ICPR), 2016, Cancun, México.

Artur Jordao, William Robson Schwartz. The Good, The Fast and the Better Pedestrian Detector. In: Conference on Graphics, Patterns and Images (SIBGRAPI), 2016, São José dos Campos, Brazil.