Research lines
Below are our main lines of research, focused on developing innovative solutions to address current challenges across various sectors. These areas combine advanced techniques, practical applications, and an interdisciplinary approach to maximize the impact and utility of our projects.
Each card presents two key researchers leading the line, whose buttons allow you to reach out directly for potential collaborations and joint initiatives.
Complexity Measures
We develop tools and metrics to analyze and characterize data regarding feature overlap, class separability, and data geometry. Our goal is to design methodologies that facilitate the interpretation and improvement of models based on the unique properties of datasets.
Data Visualization
We design tools to graphically represent complex data, focusing on enhancing decision-making through effective visualizations.
Performance Metrics
We create advanced metrics to evaluate the efficiency, accuracy, and generalization of machine learning models.
Foundations of Machine Learning
We explore the theoretical aspects of machine learning, specializing in SVMs, kernels, and ensemble methods.
Sports Analytics
We apply data models to enhance sports performance and strategies, spanning sports like football, swimming, and skating.
Indicator Development
We design indicators for sectors like sustainable tourism and healthcare, supporting precise evaluations and informed decisions.
Open Data
We develop systems for managing open data, ensuring accessibility, interoperability, and reusability.
Intelligent Agents
We create AI systems for dynamic tasks, integrating perception, reasoning, and action for applications like automation.
Optimization
We develop innovative methods to maximize system efficiency in resource management and operational performance.
Metaheuristics
We research advanced search algorithms to solve complex optimization problems in areas like logistics and network design.
Internet of Things
We develop ML algorithms for IoT, optimizing data transmission to improve efficiency in smart systems.
Recommender Systems
We design personalized algorithms for tourism and healthcare, enhancing user experiences and decision-making.
Knowledge-Based Systems
We create systems integrating expert information and rules to address complex problems efficiently.
Explainable Machine Learning
We focus on explainable ML, particularly counterfactuals and semifactuals, enhancing transparency in healthcare and finance.