Publicaciones

Quick Hidden Layer Size Tuning in ELM for Classification Problems

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

DepressMind: A Depression Surveillance System for Social Media Analysis

Design of segmentation algorithms to recognize interested cells in microscopy biological images

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

OralImmunoAnalyser: a software tool to immunohistochemical assessment of oral leukoplakia using image segmentation and classification models

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

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

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

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

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

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

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

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

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

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

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

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

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

Fast array thinning using global optimization methods

Around fuzziness. Some philosophical thoughts

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

Looking for a good fuzzy system interpretability index: An experimental approach

Una revisión del concepto de intencionalidad en un marco aproximado

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

HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism

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

Highly interpretable linguistic knowledge bases optimization: Genetic tuning versus solis-wetts. Looking for a good interpretability-accuracy trade-off

Knowledge-based intelligent diagnosis of ground robot collision with non detectable obstacles

Round Numbers revisited. A new fuzzy approach

KBCT: A knowledge extraction and representation tool for fuzzy logic based systems