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Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning
(Elsevier, 2022-03)
Fishery monitoring programs are essential for effective management of marine resources, as they provide scientists and managers with the necessary data for both the preparation of scientific advice and fisheries control ...
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation
(Elsevier, 2022-02)
Graph construction plays an essential role in graph-based label propagation since graphs give some information on the structure of the data manifold. While most graph construction methods rely on predefined distance ...
Efficient multi-task based facial landmark and gesture detection in monocular images
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] The communication between persons includes several channels to exchange information between individuals.
The non-verbal communication contains valuable information about the context of the conversation and it is
a ...
Ensemble learning via feature selection and multiple transformed subsets: Application to image classification
(Elsevier, 2021-12)
[EN]In the machine learning field, especially in classification tasks, the model's design and construction are very important. Constructing the model via a limited set of features may sometimes bound the classification ...
On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization
(Elsevier, 2022-01)
Graph Convolutional Networks (GCNs) have received a lot of attention in pattern recognition and machine learning. In this paper, we present a revisited scheme for the new method called "GCNs with Manifold Regularization" ...
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
(MDPI, 2022-01-18)
Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, ...
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans
(MDPI, 2021-09-18)
COVID-19 infection recognition is a very important step in the fight against the COVID-19 pandemic. In fact, many methods have been used to recognize COVID-19 infection including Reverse Transcription Polymerase Chain ...
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval
(MDPI, 2022-03-30)
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due to some problems, such as a large number of clothing categories, different appearances ...
Multi-View Graph Fusion for Semi-Supervised Learning: Application to Image-Based Face Beauty Prediction
(MDPI, 2022)
Facial Beauty Prediction (FBP) is an important visual recognition problem to evaluate the attractiveness of faces according to human perception. Most existing FBP methods are based on supervised solutions using geometric ...
Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification
(MDPI, 2023-10-20)
When considering a large dataset of histopathologic breast images captured at various magnification levels, the process of distinguishing between benign and malignant cancer from these images can be time-intensive. The ...