24 citations · 46 across the 7 of their papers we have counts for
10 papers
Large-Margin Representation Learning for Texture Classification
Jonathan de Matos, Luiz Eduardo Soares de Oliveira, Alceu de Souza Britto Junior +1
This paper presents a novel approach combining convolutional layers (CLs) and large-margin metric learning for training supervised models on small datasets for texture classificati…
Fast & Furious: Modelling Malware Detection as Evolving Data Streams
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes +3
Malware is a major threat to computer systems and imposes many challenges to cyber security. Targeted threats, such as ransomware, cause millions of dollars in losses every year. T…
Machine Learning Methods for Histopathological Image Analysis: A Review
Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto +2
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is not only time and resource consuming,…
Two-View Fine-grained Classification of Plant Species
Voncarlos M. Araujo, Alceu S. Britto, Luiz E. S. Oliveira +1
Automatic plant classification is a challenging problem due to the wide biodiversity of the existing plant species in a fine-grained scenario. Powerful deep learning architectures…
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending
Steve Tsham Mpinda Ataky, Jonathan de Matos, Alceu de S. Britto +2
Data imbalance is a major problem that affects several machine learning (ML) algorithms. Such a problem is troublesome because most of the ML algorithms attempt to optimize a loss…
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents
Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich +2
This paper describes two approaches for content-based image retrieval and pattern spotting in document images using deep learning. The first approach uses a pre-trained CNN model t…