Meteorological drought is a common hydrological hazard that affects human life. It is one of
the significant factors leading to water and food scarcity. Early detection of drought events is …

We present a novel approach for time series classification where we represent time series
data as plot images and feed them to a simple CNN, outperforming several state-of-the-art …

Alzheimer's Disease (AD) is an incurable neurodegenerative disease that strongly impacts
the lives of the people affected. Even if, to date, there is no cure for this disease, its early …

Abstract Vectorial Genetic Programming (GP) is a young branch of GP, where the training
data for symbolic models not only include regular, scalar variables, but also allow vector …

Imbalanced datasets pose a significant and longstanding challenge to machine learning
algorithms, particularly in binary classification tasks. Over the past few years, various …

Alzheimer's Disease (AD) is a neurodegenerative disease which causes a continuous
cognitive decline. This decline has a strong impact on daily life of the people affected and on …

The intertwining disciplines of Bio-Inspired Computing (BIC), biomedical imaging, and data
analysis are significant fields of computer science, computer engineering, and electrical and …

The robust and reliable prediction of urban traffic provides a pathway to reducing pollution,
increasing road safety and minimising infrastructure costs. The data driven modelling of …

Accurate livestock management can be achieved by means of predictive models. Critical
factors affecting the welfare of intensive beef cattle husbandry systems can be difficult to be …

Navigating the intricacies of establishing profitable trading strategies in financial markets is a
challenging endeavour. While traditional methods like technical analysis have long served …