Publications

Machine learning and reasoning

2023
Crawford, Kate (2023). Atlas de IA. Poder, política y costes planetarios de la inteligencia artificial Barcelona: Ned Ediciones
Optimization of thermionic cooling semiconductor heterostructures with deep learning techniques
Downsampling GAN for Small Object Data Augmentation
Promoting equality in higher education computer programming courses through cooperative learning
Overview of eRisk 2023: Early Risk Prediction on the Internet
Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (extended overview)
The Droid You're Looking For: C-4PM, a Conversational Agent for Declarative Process Mining
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
Personality trait analysis during the COVID-19 pandemic: a comparative study on social media
Short-term anti-plaque effect of a cymenol mouthwash analysed using the DenTiUS Deep Plaque software: a randomised clinical trial
An empirically supported approach to the treatment of imprecision in vague reasoning
CT-based radiomics to predict KRAS mutation in CRC patients using a machine learning algorithm: a retrospective study
A machine learning approach to model the impact of line edge roughness on gate-all-around nanowire FETs while reducing the carbon footprint
Visual Multi-Object Tracking through Deep Learning
A Confusion Matrix for Evaluating Feature Attribution Methods
Learning context-based representations of events in complex processes
Few-Shot Image Classification for Automatic COVID-19 Diagnosis
An ensemble-based phenotype classifier to diagnose Crohn’s disease from 16s rRNA gene sequences
Relation networks for few-shot video object detection
Depth Estimation and Image Restoration by Deep Learning from Defocused Images
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
Aprendizaxe de materias de programación e intelixencia artificial con perspectiva de xénero
ResBaGAN: a Residual Balancing GAN with data augmentation for forest maping
Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media
Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring
A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches
Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing
eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges
In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea
Trustworthy Artificial Intelligence in Alzheimer’s Disease: State of the Art, Opportunities, and Challenges
Validation Analysis of Panoramic Dental Application (PDApp) Software as a Tool for Predicting Third Molar Eruption Based on Panoramic Radiograph Images
2022
A few‑shot approach for COVID‑19 screening in standard and portable chest X‑ray images
Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D
Continual federated machine learning under concept drift
Study and comparison of different Machine Learning-based approaches to solve the inverse problem in Electrical Impedance Tomographies
Federated Learning from Demonstration for Active Assistance to Smart Wheelchair Users
2HDED:NET for joint depth estimation and image deblurring from a single out-of-focus image
Fast Support Vector Classifier for large-scale classification problems
Providing female role models in STEM higher education careers, a teaching experience
Impacto de la segmentación en superpíxeles sobre clasificadores de imágenes multiespectrales basados en aprendizaje profundo
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Early Detection of Mental Health Disorders by Social Media Monitoring
The Challenge of Early Risk Prediction on the Internet
The future of eRisk
A Survey of the First Five Years of eRisk: Findings and Conclusions
Early Risk Prediction of Mental Health Disorders
XAS: Automatic yet eXplainable Age and Sex determination by combining imprecise per-tooth predictions
IDALib: a Python library for efficient image data augmentation
A full data augmentation pipeline for small object detection based on generative adversarial networks
Framework para la Descripción Automática de Procesos en Lenguaje Natural: Aplicación en un Proceso Asistencial Integrado de Estenosis Aórtica
Overview of eRisk 2022: Early Risk Prediction on the Internet
Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview)
Fast Multi-Object Tracking with Feature Pyramid and Region Proposal Networks
Do we still need Human Assessors? Prompt based GPT-3 User Simulation in Conversational AI
A Multistage Retrieval System for Health-related Misinformation Detection
Measuring Model Understandability by means of Shapley Additive Explanations
Social Minder: a tool for social media monitoring and its use for detecting COVID-19 misinformation
Perspectiva de género en Inteligencia Artificial, una necesidad
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression
A machine learning approach in autism spectrum disorders: from sensory processing to behavior problems
Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos
Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict
eRisk 2022: pathological gambling, depression and eating disorder challenges
High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee
Ideal kernel tuning: fast and scalable selection of the radial basis kernel spread for support vector classification
A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies
Deep learning for chronological age and sex prediction from dental panoramic radiographs
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients
In-Silico Detection of Oral Prokaryotic Species With Highly Similar 16S rRNA Sequence Segments Using Different Primer Pairs
Explainable and Trustworthy Artificial Intelligence
Quick extreme learning machine for large-scale classification
Stochastic embeddings of dynamical phenomena through variational autoencoders
Tracking More Than 100 Arbitrary Objects at 25 FPS Through Deep Learning
2021
The TRASGO Project. Present Status and Results
Incremental Learning through Unsupervised Adaptation in Video Face Recognition
PrimerEvalPy: a tool for in-silico evaluation of primers for targeting the microbiome
A Conformance Checking-based Approach for Sudden Drift Detection in Business Processes
A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class
Behavioral-based algorithms for process model simplification
Spatio-Temporal Object Detection from UAV On-Board Cameras
Embedded ethics to teach machine learning courses: an experience
Influencia del algoritmo de segmentación en la precisión y el coste computacional de la detección de cambios multiclase sobre imágenes hiperespectrales
XIX CONFERENCIA DE LA ASOCIACIÓN ESPAÑOLA PARA LA INTELIGENCIA ARTIFICIAL (CAEPIA 20/21)
Comparing Traditional and Neural Approaches for detecting Health-related Misinformation
Overview of eRisk 2021: Early Risk Prediction on the Internet (extended overview)
Overview of eRisk 2021: Early Risk Prediction on the Internet
In-silico Selection of the Best 16S rRNA Gene Primers for Detecting Oral Bacteria and Archaea
Redundancy of 16S rRNA Genes in Genomes from Oral Bacteria and Archaea
COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and Black-Box optimization techniques
Automated description of the mandible shape by deep learning
STDnet-ST: Spatio-Temporal ConvNet for Small Object Detection
Estimating the Reliability of Health-related Search Results
Automatic linguistic reporting of customer activity patterns in open malls
Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información
Unha experiencia da introducción da perspectiva de xénero en materias de Intelixencia Artificial
Perspectiva de género en Inteligencia Artificial
Reliability Prediction for Health-related Content: A Replicability Study
eRisk 2021: Pathological Gambling, Self-Harm and Depression Challenges
Cost-effective Identification of On-topic Search Queries using Multi-Armed Bandits
Testing the Tests: Simulation of Rankings to Compare Statistical Significance Tests in Information Retrieval Evaluation
SiamMT: Real-Time Arbitrary Multi-Object Tracking
2020
Concept Drift Detection and Adaptation for Robotics and Mobile Devices in Federated and Continual Settings
CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders
Gender perspective in Artificial Intelligence (AI)
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (extended overview)
Overview of eRisk 2020: Early Risk Prediction on the Internet
La confianza en las máquinas inteligentes
Ensembles of Choice-based models for Recommender Systems
Towards deep learning reliable gender estimation from dental panoramic radiographs
24th European Conference on Artificial Intelligence
Understanding complex process models by abstracting infrequent behavior
eXtream: a System for Real-time Monitoring of Dynamic Web Sources
Deep Neural Networks for Chronological Age Estimation from OPG images
A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media
Estimación do tempo restante en procesos de negocio utilizando información estrutural das trazas.
Motion Planning under Uncertainty for Autonomous Navigation of Mobile Robots and UAVs
On the Integration of Machine Learning and Array Databases
eRisk 2020: Self-harm and Depression Challenges
Walking recognition in mobile devices
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation
A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
2019
Learning from the Individuals and the Crowd in Robotics and Mobile Devices
Simplification of Complex Process Models by Abstracting Infrequent Behaviour
INVERBIS: minería de datos aplicada a la mejora de procesos
A Vector-Based Classification Approach for Remaining Time Prediction in Business Processes
Discovering Latent Depression Patterns in Online Social Media
Explainable Artificial Intelligence for Kids
Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview)
Overview of eRisk 2019. Early Risk Prediction on the Internet
Pattern-based Simplification of Process Models
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Application of Functional Data Analysis for the Prediction of Maximum Heart Rate
Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum
Clustering Hydrographic Conditions in Galician Estuaries
The use of an Explainable Artificial Intelligence Tool for Decision-making Support in Virtual Learning Environments
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces
Feature selection and evolutionary rule learning for Big Data in smart building energy management
Robust Heading Estimation in Mobile Phones
Early detection of risks on the Internet: an exploratory campaign
An extensive experimental survey of regression methods
Mining Frequent Patterns in Process Models
When to Stop Making Relevance Judgments? A Study of Stopping Methods for Building Information Retrieval Test Collections
2018
Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods
Organic cattle products: authenticating production origin by analysis of serum mineral content
Desarrollo de un repositorio común de contenidos para facilitar el proceso enseñanza-aprendizaje
Aplicando Gamificación con Kahoot en el desarrollo de competencias
Deep Learning para detección y tracking de objetos en vídeo
Classification of color texture feature patterns extracted from cells in histological images of fish ovary
A novel and simple strategy for evolving prototype based clustering
Detección de concept drift en minería de procesos basado en agrupamiento de trazas
Fully automatic teeth segmentation in adult OPG images
Multiclass Change Detection for Multidimensional Images in the Presence of Noise
Overview of eRisk: Early Risk Prediction on the Internet
Overview of eRisk 2018: Early Risk Prediction on the Internet (extended lab overview)
Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation
SEL: a Unified Algorithm for Entity Linking and Saliency Detection
2017
Heart Rate Variability Analysis with the R package RHRV
Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems
Comparative study of xAPI validation tools
eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations
CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations
Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems
Automatización Inteligente
Nonparametric estimation of stochastic differential equations with sparse Gaussian processes
Predicting academic success by using context variables and probabilistic classification
VICLEO: A Visualization Tool for Representing the Semantic Field of Statements
Scalable Modeling of Thermal Dynamics in Buildings using Fuzzy Rules for Regression
Computer-assisted development of two-dimensional liquid chromatographic separations
Speeding up the multimedia feature extraction: a comparative study on the big data approach
Generating Automatic Linguistic Descriptions with Big Data
2016
Machine learning for the management of agricultural soil data
Aplicación de técnicas de selección de características para la mejora de los sistemas automáticos de detección de vertidos de hidrocarburos
S-FRULER: Scalable Fuzzy Rule Learning through Evolution for Regression
Inteligencia emocional: diseño metodológico para la mejora del análisis de calidad de servicio on-line
Reparación de alineamientos en modelos de proceso similares
Recompilación de procesos de educación a partir de registros de eventos
Prediction of indoor temperatures for energy optimization in buildings
Análisis inteligente de flujos de trabajo sociales
A Test Collection for Research on Depression and Language use
Enhancing Fingrams to deal with precise fuzzy systems
FRULER: Fuzzy Rule Learning through Evolution for Regression
A Genetic Fuzzy System for Large-scale Regression
An Integrated Semantic Web Service Discovery and Composition Framework
Prediction of building temperatures for energy optimization
A MapReduce Implementation of a Genetic Fuzzy System for Regression
Descriptive and Comparative Analysis of Human Perceptions expressed through Fuzzy Rating Scale-based Questionnaires
Special Issue on Computational Intelligence Software
Feeling Lucky? Multi-armed Bandits for Ordering Judgements in Pooling-based Evaluation
A survey of fuzzy systems software: Taxonomy, current research trends, and prospects
Environmental Linked Data: Challenges
Hierarchical Approach to Enhancing Topology-based WiFi Indoor Localization in Large Environments
2015
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
An Adaptive Multi-resolution State Lattice Approach for Motion Planning with Uncertainty
Introducing Negative Evidence in Ensemble Clustering Application in Automatic ECG Analysis
Hybrid Optimization Algorithm for Large-Scale QoS-Aware Service Composition
ProDiGen: minando modelos completos, precisos y simples con un algoritmo genético
Algoritmo Híbrido de Composición Automática de Servicios con QoS
STAC: a web platform for the comparison of algorithms using statistical tests
Reducing the Complexity in Genetic Learning of Accurate Regression TSK Rule-Based Systems
A Hybrid Local-Global Optimization Strategy for QoS-Aware Service Composition
Approximate syllogism as argumentative expression for knowledge representation and reasoning with Generalized Bayes' Theorem
Application of fuzzy techniques to Autonomous Robots
Applying random linear oracles with fuzzy classifier ensembles onWiFi indoor localization problem
Computing with perceptions for the linguistic description of complex phenomena through the analysis of time series data
Impact of signal representations on the performance of hierarchical WiFi localization systems
Data Mining for Automatic Linguistic Description of Data - Textual Weather Prediction as a Classification Problem
Computing with perceptions for the linguistic description of complex phenomena through the analysis of time series data
Interpretability of fuzzy systems: Current research trends and prospects
Classification of somatosensory stimuli on the basis of the temporal coding at the cuneate nucleus
Learning Fuzzy Controllers in Mobile Robotics with Embedded Preprocessing
2014
Rhetorical Structure Theory for Polarity Estimation: an Experimental Study
Learning Analytics for the Prediction of the Educational Objectives Achievement
An empirical study of sentence features for subjectivity and polarity classification
Customization of Products Assisted by Kansei Engineering, Sensory Analysis and Soft Computing
Hipster: An Open Source Java Library for Heuristic Search
Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms
Graph-based semantic annotation for enriching educational content with linked data
A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers
2013
Fingrams: Visual representations of fuzzy rule-based inference for expert analysis of comprehensibility
A Machine Learning approach for Subjectivity Classification based on Positional and Discourse Features
A multiclassifier approach for topology-based WiFi indoor localization
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
Quest for Interpretability-Accuracy Trade-off Supported by Fingrams into the Fuzzy Modeling Tool GUAJE
Human activity recognition in indoor environments by means of fusing information extracted from intensity of WiFi signal and accelerations
Fuzzy logic and education: teaching the basics of fuzzy logic through an example (by the way of cycling)
On the analysis of set-based fuzzy quantified reasoning using classical syllogistics
Fuzzy Systems at the University of Santiago de Compostela. A personal vision of the last twenty years
2012
Modeling interpretable fuzzy rule-based classifiers for medical decision support
A learning-based approach for the identification of sexual predators in chat logs
A conversation on philosophy and fuzzy logic
Evolutionary Intelligence in Asphalt Pavement Modelling
Razonamiento silogístico aproximado con cuantificadores generalizados
2011
Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors
Aprendizaje de Controladores Difusos para Seguimiento de Trayectorias en Robots Multiarticulados
Special issue on interpretable fuzzy systems
HILK++: An interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers
Detección de contaminantes en el medio marino a través del análisis e interpretacién de imágenes SAR utilizando técnicas de Inteligencia Artificial
An optimal and fast algorithm for web service composition
An empirical study on interpretability indexes through multi-objective evolutionary algorithms
Assessing neural activity related to decision-making through flexible odds ratio curves and their derivatives