Publications

27th European Conference on Artificial Intelligence (ECAI 2024)

Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem

ParanoIA

Closed-form Gaussian spread estimation for small and large support vector classification

Ensemble and continual federated learning for classification tasks.

AI literacy in K-12: a systematic literature review

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

Fast Support Vector Classifier for large-scale classification problems

Proxecto Nós: Artificial Intelligence at the Service of the Galician Language

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

The Nós Project: Opening routes for the Galician language in the field of language technologies

Ideal kernel tuning: fast and scalable selection of the radial basis kernel spread for support vector classification

Quick extreme learning machine for large-scale classification

Concept drift detection and adaptation for federated and continual learning

Extreme learning machine with confidence interval based bias initialization

Concept Drift Detection and Adaptation for Robotics and Mobile Devices in Federated and Continual Settings

La confianza en las máquinas inteligentes

Interactive Natural Language Technology for Explainable Artificial Intelligence

24th European Conference on Artificial Intelligence

Walking recognition in mobile devices

Máquinas que venden y compran a máquinas

Learning from the Individuals and the Crowd in Robotics and Mobile Devices

INVERBIS: minería de datos aplicada a la mejora de procesos

Robust and fast scene recognition in robotics through the automatic identification of meaningful images

People and Machines: Partners in Innovation

Robust Heading Estimation in Mobile Phones

An extensive experimental survey of regression methods

Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

Innovación y emprendimiento: un modelo de crecimiento para España más allá de la crisis

Comparison of a massive and diverse collection of classifiers for oil spill detection in SAR images

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems

Automatización Inteligente

Empleo de personas y máquinas

Robust step detection in mobile phones through a learning process carried out in the mobile

Evaluation of a Data-To-Text System for Verbalizing a Learning Analytics Dashboard

Las empresas de alto crecimiento no surgen por azar. Recomendaciones para actuar en su ecosistema

Claudio Moraga and the University of Santiago de Compostela: many years of collaboration

Fuzzy sets across the natural language generation pipeline

Fuzzy sets and natural language generation. What to make out of it?

Universities performance in knowledge transfer: An analysis of the Ibero-American region over the golden decade

On the role of linguistic descriptions of data in the building of natural language generation systems

Particle filter robot localisation through robust fusion of laser, WiFi, compass, and a network of external cameras

Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach

Las descripciones lingüísticas de datos en los sistemas "Data to Text"

Generacion automática de informes en lenguaje natural en una plataforma de e-learning

GALiWeatherApp: applicación móvil para predicción meteorológica individualizada en lenguaje natural

A Model Based on Computational Perceptions for the Generation of Linguistic Descriptions of Data

Reseña sobre "Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data"

Towards Textual Reporting in Learning Analytics Dashboards

Soft Computing for Learner's Assessment in SoftLearn

Enric Trillas: master, scientist and humanist

Approaching uncertainty management in D2T generation using fuzzy sets

Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

Computing with perceptions for the linguistic description of complex phenomena through the analysis of time series data

Do we Need hundreds of classifiers to solve real world classification problems?

Generación automática de predicciones meteorológicas a corto plazo: Metodología y validación

Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

Análisis de las actividades de I+D+i+e en Universidades Iberoamericanas

Combining different algorithms to get stable learning from environment interaction

Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

Automatic Linguistic Descriptions of Meteorological Data. A soft computing approach for converting Open Data to Open Information

+Universidad -Especulación

Another half century of progress in fuzzy logic?

Validation of a linguistic summarization approach for time series meteorological data

Semantic linking of learning object repositories to DBpedia

100 Buenas Prácticas de Emprendimiento Universitario

Estudio de la Producción Científica y Tecnológica

A Structural Knowledge-Based Proposal for the Identification and Characterization of Apnoea Episodes

Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel PerceptronsWeights with Margin Control for Classification Tasks

Semantic linking of a learning object repository to DBpedia

Fast weight calculation for kernel-based perceptron in two-class classification problems

A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin

A comparison of several neural networks to predict the execution times in injection molding production for automotive industry

Fast array thinning using global optimization methods

Addressing the flaws of current critical alarms a fuzzy constraint satisfaction approach

Time Estimation in Injection Molding Production for Automative Industry Based on SVR and RBF

Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

A fuzzy constraint satisfaction approach for signal abstraction

TRACE, a graphical tool for the acquisition and detection of signal patterns

Fuzzy temporal rule-based systems: new challenges

Element Failure Detection in Linear Antenna Arrays using Case-Based Reasoning

A comparison among several techniques for finding defective elements in antenna arrays

New approach to get autonomous and fast robot learning processes

Design of a fuzzy controller in mobile robotics using genetic algorithms

Polytope ARTMAP: pattern classification without vigilance based on general geometry categories

Autonomous and fast robot learning through motivation

Representación y Ejecución de Unidades Educativas a través de una Ontología de Diseños de Aprendizaje

Evolutionary learning of a fuzzy controller for wall-following behavior in mobile robotics