Latest Academic Works
Identification of hearth sounds for the analysis of cardiac pathology using machine learning
Cardiovascular diseases (CVDs) are a leading cause of mortality globally, significantly affecting patient quality of life and imposing considerable demands on healthcare systems. Chronic heart failure (CHF), a common outcome of CVDs, represents a growing health burden with an increasing incidence. Accurate and early identification of CVDs is critical for …
Smart denoising for recurrent neural network optimization
This thesis introduces a new optimization method based on deep learning, designed for data influenced by random processes. The main contribution of this method is the combination of advanced noise reduction techniques with recurrent neural network models, which helps to prevent the common problem of overfitting seen when there is …
Bias prediction in multilingual news reporting
Over the past decade, rapid advancements in natural language processing have opened up new avenues for tackling complex issues such as news bias analysis. This progress has empowered researchers to explore innovative approaches to uncovering the complex biases inherent in news production and coverage processes. News bias, a multifaceted reflection …
Food and drink image detection and recognition using deep convolutional neural networks
A healthy diet is becoming increasingly relevant as recognizing dietary deficiencies often leads to actionable results that can improve the individual’s overall health. However, to identify areas of potential improvement, tracking food intake is necessary. Manual methods have traditionally been used to perform this tracking, but these methods have a …