Publications

Enseñando pensamiento computacional con perspectiva de género en las escuelas

Are Knowledge Graphs Ready for the Real World? Challenges and Perspective

TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing

SCOOP All the Constraints’ Flavours for Your Knowledge Graph

Propagating Ontology Changes to Declarative Mappings in Construction of Knowledge Graphs

Sexism Detection on a Data Diet

REACH: Researching Efficient Alignment-based Conformance Checking

VERONA: A python library for benchmarking deep learning in business process monitoring

Empowering the SDM-RDFizer Tool for Scaling Up to Complex Knowledge Graph Creation Pipelines

Customizable orodispersible films: Inkjet printing and data matrix encoding for personalized hydrocortisone dosing

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

Declarative generation of RDF-star graphs from heterogeneous data

Process-to-Text: A Framework for the Automatic Generation of Natural Language Descriptions of Processes

Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images

Cognitive and clinical predictors of a long-term course in obsessive compulsive disorder: A machine learning approach in a prospective cohort study

Can we predict behavior problems in children with autism?

Deep Learning Models for Predictive Monitoring of Business Processes

Crawford, Kate (2023). Atlas de IA. Poder, política y costes planetarios de la inteligencia artificial Barcelona: Ned Ediciones

XSD2SHACL: Capturing RDF Constraints from XML Schema

Re-Construction Impact on Metadata Representation Models

The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF

A Framework for the Automatic Description of Healthcare Processes in Natural Language: Application in an Aortic Stenosis Integrated Care Process

Estudio del contexto de ejecución en monitorización predictiva de procesos

An accurate machine learning model to study the impact of realistic metal grain granularity on Nanosheet FETs

A machine learning approach to model the impact of line edge roughness on gate-all-around nanowire FETs while reducing the carbon footprint

CONFORMANCE CHECKING-BASED CONCEPT DRIFT DETECTION IN PROCESS MINING

Learning context-based representations of events in complex processes

Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring

Aprendizaxe de materias de programación e intelixencia artificial con perspectiva de xénero

Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

Efficient Access to Heterogeneous Environmental Data Repositories Through Linked Data Standards

Providing female role models in STEM higher education careers, a teaching experience

A Framework for the Automatic Description of Healthcare Processes in Natural Language: Application in an Aortic Stenosis Integrated Care Process

TAQE: A Data Modeling Framework for Traffic and Air Quality Applications in Smart Cities

Framework para la Descripción Automática de Procesos en Lenguaje Natural: Aplicación en un Proceso Asistencial Integrado de Estenosis Aórtica

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

Perspectiva de género en Inteligencia Artificial, una necesidad

Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes

GeoSPARQL query support for scientific raster array data

Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

BrEarth: Tecnología de almacenes de datos para el cerebro de la tierra

Unha experiencia da introducción da perspectiva de xénero en materias de Intelixencia Artificial

Efficient access methods for very large distributed graph databases

Perspectiva de género en Inteligencia Artificial

Exploratory study of the impact of project domain and size category on the detection of the God class design smell

Gender perspective in Artificial Intelligence (AI)

Evaluation of the effects of a virtual intervention programme on cognitive flexibility, inhibitory control and basic math skills in childhood education

On the Integration of Machine Learning and Array Databases

Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings

Una aproximación basada en Machine Learning para evaluar la influencia del tamaño del proyecto en la detección de God Class.

Factores que tienen en cuenta los desarrolladores en la priorización de smells para su corrección: conclusiones después de una réplica

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning (MLA)

Improving design smell detection for adoption in industry

Leveraging Bitmap Indexing for Subgraph Searching

Gesture recognition system application to early childhood education

Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach

Grid, cloud and high performance computing: scientific applications' use cases

Improving the working memory during early childhood education through the use of an interactive gesture game-based learning approach

Consulta eficiente de datos moleculares: Situación actual y retos futuros

Multimodal User Interaction for GIS Applications (MUI_GIS).

Incremento de las capacidades ejecutivas mediante el uso de herramientas interactivas basadas en gestos: Caso de estudio la memoria de trabajo.

KEYSTONE Activities and Results Overview on Training School

Towards Keyword-Based Search over Environmental Data Sources

VICLEO: A Visualization Tool for Representing the Semantic Field of Statements

Comparative study of artificial neural network models for forecasting the indoor temperature in smart buildings

Semantic mediation of observation datasets through Sensor Observation Services

S-FRULER: Scalable Fuzzy Rule Learning through Evolution for Regression

Prediction of indoor temperatures for energy optimization in buildings

Análisis inteligente de flujos de trabajo sociales

FRULER: Fuzzy Rule Learning through Evolution for Regression

A Genetic Fuzzy System for Large-scale Regression

A MapReduce Implementation of a Genetic Fuzzy System for Regression

Effects of movement imitation training in Parkinson´s disease: A Virtual Reality Pilot Study

SODA: A framework for spatial observation data analysis

Daily Life Activities Recognition Using RFID to Save Energy

Keyword-Based Search over Environmental Datasets

Reducing the Complexity in Genetic Learning of Accurate Regression TSK Rule-Based Systems

Virtual integration of sensor observation data

Approximate syllogism as argumentative expression for knowledge representation and reasoning with Generalized Bayes' Theorem

Application of fuzzy techniques to Autonomous Robots

Data Storage Optimization for Energy Management in Intelligent Buildings

Learning Fuzzy Controllers in Mobile Robotics with Embedded Preprocessing

Common Data Model in AmI Environments

Graph-based semantic annotation for enriching educational content with linked data

A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers

A Proposal of Fuzzy Chained Syllogism based on the Concept of Synonymy

An Instance Selection Algorithm for Regression and its Application in Variance Reduction

A Tabu Search Optimization Module for Scheduling: Design and integration in the open source tool LibrePlan for project management

On the analysis of set-based fuzzy quantified reasoning using classical syllogistics

Low-Cost Virtual Reality System in Evaluation of Rhythmic Motor Patterns in Elderly and Parkinson's Disease Patients

Fuzzy Systems at the University of Santiago de Compostela. A personal vision of the last twenty years

Integración de observaciones medioambientales: Solución inicial y retos futuros

Diseño de un sistema escalable para la sensorización de platós virtuales de televisión con emisiones en directo

Motion Capture for Clinical Purposes, an Approach Using PrimeSense Sensors

The virtual instruments of the Pórtico de la Gloria

Razonamiento silogístico aproximado con cuantificadores generalizados