no code implementations • 20 Oct 2023 • Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
The predictive performance of the model was compared against five baseline methods as well as a random search, performing either ANN hyperparameter tuning and feature selection.
no code implementations • 22 Jul 2023 • Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
Identifying Amyotrophic Lateral Sclerosis (ALS) in its early stages is essential for establishing the beginning of treatment, enriching the outlook, and enhancing the overall well-being of those affected individuals.
1 code implementation • 31 Jan 2023 • Luiz C. F. Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa
The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate solutions to be evaluated, even by using sophisticated algorithms.
1 code implementation • 19 Dec 2022 • Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio F. G. dos Santos
Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object recognition, and text categorization.
no code implementations • 30 Nov 2022 • Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities.
no code implementations • 5 Mar 2022 • Claudio Filipi Goncalves do Santos, Mateus Roder, Leandro A. Passos, João P. Papa
In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities.
1 code implementation • 8 Feb 2022 • Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa
Machine Learning has attracted considerable attention throughout the past decade due to its potential to solve far-reaching tasks, such as image classification, object recognition, anomaly detection, and data forecasting.
no code implementations • 10 Jan 2022 • Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry P. Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately.
no code implementations • 17 Jan 2021 • Mateus Roder, Gustavo H. de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
Deep learning architectures have been widely fostered throughout the last years, being used in a wide range of applications, such as object recognition, image reconstruction, and signal processing.
no code implementations • 17 Jan 2021 • Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton Pereira, João Paulo Papa
With the advent of deep learning, the number of works proposing new methods or improving existent ones has grown exponentially in the last years.
no code implementations • 17 Jan 2021 • Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
Currently, approximately $4$ billion people are infected by intestinal parasites worldwide.
1 code implementation • 4 Jan 2021 • Gustavo H. de Rosa, Mateus Roder, João P. Papa
Machine Learning has been applied in a wide range of tasks throughout the last years, ranging from image classification to autonomous driving and natural language processing.
2 code implementations • 27 Jul 2020 • Claudio Filipi Goncalves do Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few.
1 code implementation • 16 Mar 2020 • Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
Throughout the last years, machine learning techniques have been broadly encouraged in the context of deep learning architectures.