This work describes different strategies to generate unsupervised
repres...
Information from an image occurs over multiple and distinct spatial scal...
Automatic analysis of bioacoustic signals is a fundamental tool to evalu...
The reconstruction of shredded documents consists of coherently arrangin...
Automatic plant classification is a challenging problem due to the wide
...
Data imbalance is a major problem that affects several machine learning
...
Automatic facial expression recognition is an important research area in...
This paper shows the susceptibility of spectrogram-based audio classifie...
The increasing use of multiple sensors requires more efficient methods t...
We demonstrate the existence of universal adversarial perturbations, whi...
This paper proposes a face anti-spoofing user-centered model (FAS-UCM). ...
This paper presents a novel deep neural network (DNN) for multimodal fus...
In this paper we propose a fusion approach to continuous emotion recogni...
This paper presents a novel approach for image retrieval and pattern spo...
Facial expression recognition is a major problem in the domain of artifi...
Biopsies are the gold standard for breast cancer diagnosis. This task ca...
In this paper, the concept of representation learning based on deep neur...
Histopathologic Images (HI) are the gold standard for evaluation of some...
This work proposes a classification approach for breast cancer
histopath...
In this paper we propose a novel environmental sound classification appr...
This paper presents two novel approaches for people counting in crowded ...