Laboratorio de Investigación y Desarrollo en Inteligencia Artificial (LIDIA)

Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models

Adaptive incremental transfer learning for efficient performance modeling of big data workloads

Modelado basado en agentes para la simulación de políticas de sostenibilidad. La Inteligencia Artificial hoy y sus aplicaciones en Big Data

ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals

Performance and Sustainability of BERT Derivatives in Dyadic Data

Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle

The Operational Nitrogen Indicator (ONI): An Intelligent Index for the Wastewater Treatment Plant's Optimization

Minimizing Redundancy in Hand Dynamic Features for Enhanced Sign Language Recognition

Machine learning for perovskite solar cells: a comprehensive review on opportunities and challenges for materials scientists

Optimizing resource use through low-precision feature selection: A performance analysis of logarithmic division and stochastic rounding

A Review of Green Artificial Intelligence: Towards a more sustainable future

A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence

Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability

An agent-based model to simulate the public acceptability of social innovations

Fed-mRMR: A lossless federated feature selection method

Navigating the Ethical and Societal Challenges of Artificial Intelligence: Ensuring Responsible Innovation

Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars

Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes

A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport

Spatial-temporal Feature-based End-to-end Fourier Network for 3D Sign Language Recognition

Positive-Unlabelled Learning for Improving Image-based Recommender System Explainability

Simulating the role of norms in processes of social innovation: three case studies

Segmentation, classification and interpretation of breast cancer medical images using human-in-the-loop machine learning

The imbalance problem: a comparison of sampling approaches using different parameters and feature selection methods in the context of classification

Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models

Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?

A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning

Towards federated feature selection: Logarithmic division for resource-conscious methods

Addressing the Data Bottleneck in Medical Deep Learning Models Using a Human-in-the-Loop Machine Learning Approach

Feature selection for domain adaptation using complexity measures and swarm intelligence

Finding a needle in a haystack: insights on feature selection for classification tasks

A One-Class Classification method based on Expanded Non-Convex Hulls

Fast Deep Autoencoder for Federated Learning

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks

Do all roads lead to Rome? Studying distance measures in the context of machine learning

On the reliability of machine learning models for survival analysis when cure is a possibility

La Inteligencia Artificial: reto y Oportunidad para una Galicia del siglo XXI

E2E-FS: An End-to-End Feature Selection Method for Neural Networks

Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning

How important is data quality? Best classifiers vs best features

Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences

Low-precision feature selection on microarray data: an information theoretic approach

Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model

Machine Learning Methods for Predicting League of Legends Game Outcome

Human-in-the-loop machine learning: a state of the art

Data-Driven Predictive Maintenance Framework for Railway systems

Applying machine learning to detect early stages of cardiac remodelling and dysfunction

DSVD-Autoencoder: A scalable distributed privacy-preserving method for one-class classification

La Inteligencia Artificial y la prospectiva

SOPRENE: Assessment of the Spanish Armada's Predictive Maintenance Tool for Naval Assets

Dealing with heterogeneity in the context of distributed feature selection for classification

Machine learning techniques to predict different levels of hospital care of CoVid-19

Uncertainty in Quantum Rule-Based Systems

Scalable feature selection using ReliefF aided by locality-sensitive hashing

Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing

A scalable saliency-based feature selection method with instance-level information

Feature selection with limited bit depth mutual information for portable embedded systems

One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments

From Mobility Data to Habits and Common Pathways

Discovering locations and habits from human mobility data

Community detection and social network analysis based on the Italian wars of the 15th century

Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases

Wavefront Marching Methods: a unified algorithm to solve Eikonal and static Hamilton-Jacobi equations

La Inteligencia Artificial en la Educación

Ensembles for feature selection: A review and future trends

Large scale anomaly detection in mixed numerical and categorical input spaces

Optimizing novelty and diversity in recommendations

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

Feature selection in image analysis: a survey

A scalable decision-tree-based method to explain interactions in dyadic data

Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry

On developing an automatic threshold applied to feature selection ensembles

Insights into distributed feature ranking

Distributed classification based on distances between probability distributions in feature space

Distributed correlation-based feature selection in Spark

A review of feature selection methods in medical applications

CUDA-JMI: Acceleration of Feature Selection on Heterogeneous Systems

Biases in feature selection with missing data

A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces

A review of adaptive online learning for artificial neural networks

LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

On the scalability of feature selection methods on high-dimensional data

A Systematic Approach to API Usability: Taxonomy-derived Criteria and a Case Study

INTELIGENCIA ARTIFICIAL EN LA INGENIERÍA: PASADO, PRESENTE Y FUTURO

Revisiting the Wang-Mendel algorithm for fuzzy classification

Emerging technologies in artificial intelligence: quantum rule-based systems

A Knowledge Model for the Development of a Framework for Hypnogram Construction

An incremental non-iterative learning method for one-layer feedforward neural networks

On the use of feature selection to improve the detection of sea oil spills in SAR images

Testing different ensemble con gurations for feature selection

On the use of different base classifiers in multiclass problems

On the use of different base classifiers in multiclass problems

Can classi cation performance be predicted by complexity measures? A study using microarray data.

A SIMPLE AND ROBUST METHOD FOR THE AUTOMATIC SCORING OF EEG AROUSALS IN POLYSOMNOGRAPHIC RECORDINGS

Testing different ensemble configurations for feature selection

Centralized vs. distributed feature selection methods based on data complexity measures

Can classification performance be predicted by complexity measures? A study using microarray data

Volume, Variety and Velocity in Data Science.

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders.

COMBINING MACHINE LEARNING MODELS FOR THE AUTOMATIC DETECTION OF EEG AROUSALS

Real-time tear lm classi cation through cost-based feature selection.

Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea-Hypopnea Syndrome

Ensemble feature selection: Homogeneous and heterogeneous approaches

Data Discretization: Taxonomy and Big Data Challenge.

On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings

A comparison of performance of K-complex classifi cation methods using feature selection

Fault detection via Recurrence Time statistics and one class classi cation

Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis

Testing scenarios to achieve worplace sustainability goals using Backcasting and Agent-based Modeling,

Multithreaded and Spark Parallelization of Feature Selection Filters

A unified pipeline for online feature selection and classification

Fast-mRMR: Fast minimum Redundancy Maximum Relevance algorithm for high-dimensional Big Data.

Feature selection for high-dimensional data.

A uni ed pipeline for online feature selection and classi cation.

Plus disease: is it more than meets the ICROP?

Stream change detection via passive-aggressive classification and Bernoulli CUSUM

Commentaries on Viewpoint: The ongoing need for good physiological investigation: Obstructive sleep apnea in HIV patients as a paradigm (Letter to the Editor)

Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review

A factorization approach to evaluate open-response assignments in MOOCS using preference learning on peer assessments

Automatic classification of respiratory patterns involving missing data imputation techniques

AEPIA: Spanish Association for Arti cial Intelligence

Distributed one-class support vector machine

Dealing with inter-expert variability in clinical decision-making: A machine learning approach

Exploring guidelines for classi cation of major heart failure subtypes by using Machine Learning

Distributed feature selection: An application to microarray data classification

Recent advances and emerging challenges in feature selection.

Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning

Dealing with inter-expert variability in Retinopathy of Prematurity: a machine learning approach

Multiple human tracking system for unpredictable trajectories

An insight into microarray datasets and feature selection me-thods: a framework for ongoing studies

Data classification using an ensemble of filters

A Methodology for Improving Tear Film Lipid Layer Classification

An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization

A Taxonomy-based Usability Study of an Intelligent Speed Adaptation Device

Intelligent Approach for Analysis of Respiratory Signals and Oxygen Saturation in the Sleep Apnea/Hypopnea Syndrome

A spatial discrepancy measure between voxel sets in brain imaging

A framework for cost-based feature selection

Can artificial intelligence benefit from quantum computing?

A review of microarray datasets and applied feature selection methods

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks

Improving detection of apneic events by learning from examples and treatment of missing data

Toward the scalability of neural networks through feature selection.

On the use of a minimal path approach for target trajectory analysis

Improving retinal artery and vein classification by means of a minimal path approach

A Comparative Study of the Scalability of a Sensitivity-Based Learning Algorithm for Artificial Neural Networks

Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios

A Method for the Automatic Analysis of the Sleep Macrostructure in Continuum

A review of feature selection methods on synthetic data

Estimating the Parameters of a Fatigue Model Using Benders Decomposition

A minimum volume covering approach with a set of ellipsoids

Automatic Bearing Fault Diagnosis Based on One-Class nu-SVM

An Online Learning Algorithm for Adaptable Topologies of Neural Networks

Information Theoretic Learning and local modelling for binary and multiclass classi cation

Information Theoretic Learning and Local Modeling for Binary and Multiclass Classification

Aplicación de un robot comercial de bajo coste en tareas de seguimiento de objetos

Non linear Single Layer Neural Network training algorithm for incremental, non stationary and distributed learning scenarios

An ensemble of filters and classifiers for microarray data classification

APPLICATION OF A LOW COST COMMERCIAL ROBOT IN TASKS OF TRACKING OF OBJECTS

A Mixture of Experts for Classifying Sleep Apneas

Automatic processing of audiometry sequences for objective screening of hearing loss

Electrical Distribution Grid Visualization using Programmable GPUs

Efficiency of local models ensembles for time series prediction

On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data

Power Wind Mill Fault Detection via one-class v-SVM Vibration Signal Analysis

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings

A robust incremental learning method for non-stationary environments

Contextual and Skin Color Region Information for Locating Human Body Parts

Combining functional networks and sensitivity analysis as wrapper method for feature selection

Scalability Analysis of ANN Training Algorithms with Feature Selection

On the Behavior of Feature Selection Methods Dealing with Noise and Relevance over Synthetic Scenarios

Reducing dimensionality in a database of sleep EEG arousals

Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset

Solving Multiple-Target Tracking Using Adaptive Filters

Path Analysis in Multiple-Target Video Sequences

A study of performance on microarray data sets for a classifier based on information theoretic learning

Multimedia Elements in a Hybrid Multi-Agent System for the Analysis of Web Usability

Usability: A Critical Analisis and a Taxonomy

A Context-of-Use Taxonomy for Usability Studies

A New Convex Objective Function for the Supervised Learning of Single-Layer Neural Networks

Classifying Sleep Apneas Using Neural Networks and a Combination of Experts

A Snort-based agent for a JADE multi-agent intrusion detection system

Causal Temporal Constraint Networks for Representing Temporal Knowledge

Conversion Methods for Symbolic Features: A Comparison applied to an Intrusion Detection Problem

Fuzzy Reasoning Used to Detect Apneic Events in the Sleep Apnea - Hypopnea Syndrome

An Expert System to Achieve Fuzzy Interpretations of Validation Data

Multispectral classification of grass weeds and wheat (Tritium durum) crop using linear and nonparametric functional discriminant analysis and neural networks

A Fast Semi-Linear Backpropagation Learning Algorithm

A Linear Learning method for Multilayer Perceptrons using Least-Squares

A misuse detection agent for intrusion detection in a multiagent architecture.

An improved version of the wrapper feature selection method based on functional decomposition

Filter methods for feature selection. A comparative study

Functional network topology learning and sensitivity analysis based on ANOVA decomposition

Feature selection based on sensitivity analysis

A comparative study of local classifiers based on clustering techniques and one-layer neural networks

A Fast Classification Algorithm Based on Local Models

Interpretation of Group Measurements of Validation Data Using Fuzzy Techniques in an Object-Oriented Approach

A Fast Classification Algorithm Based on Local Models

A Tool for the Analysis and Interpretation of Usability Data

A very fast learning method for neural networks based on sensitivity analysis

Functional Networks and Analysis of Variance for Feature Selection

Validation and usability analysis of intelligent systems: An integrated approach

A new method for sleep apnea classification using wavelets and feedforward neural networks

Modelling engineering problems using Dimensional Analysis for feature extraction.

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response

Intelligent diagnosis of sleep apnea syndrome

A Measure of fault tolerance for functional networks

Recovering Missing Data with Functional and Bayesian Networks

A Bayesian Neural Network Approach for Sleep Apnea Classification

An intelligent system for the detection and interpretation of sleep apneas

A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function

Design of a Validation Tool Based on Design Patterns for Intelligent Systems

An intelligent system for forest fire risk prediction and fire fighting management in Galicia

Linear Least-Squares Based Methods for Neural Networks Learning

A Global Optimum Approach for One-Layer Neural Networks

Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system

Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness.

Local Modelling Using Self-Organizing Maps and Single Layer Neural Networks

Intelligent analysis and pattern recognition in cardiotocographic signal using a tightly coupled hybrid system

A global optimum approach for one laye neural neworks

Intelligent interpretation of validation data.

Functional Networks

Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome

A measure of noise immunitity for functional networks

Adaptive pattern recognition in the analysis of cardiotocographic records

A functional-neural network for post-nonlinear independent component analysis

An auto-learning system for the classification of heart rate deceleration patterns

Validation of Intelligent Systems: A Critical Study and a Tool

Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images

Applyng Statistical, Uncertainty- Based and Connnectionist Approaches to the Prediction of Fetal Outcome: A Comparative Study

Preprocessing of radiological images: comparison of the application of polynomic algorithms and artificial neural networks to the elimination of variations in background luminosity

An Artificial Intelligence Approach to the Monitoring of Sleep Apneas

Bilingüismo, Capacidad Cognitiva y Aprendizaje de Lenguas

Sistemas Expertos. Prueba Diagnóstica

Integration of Data, Information and Knowledge in Intelligent Patient Monitoring

EECB: A Knowledge Elicitation Tool Based on Repertory Grid and city block metric

Integration of data, information, and knowledge in intelligent patient monitoring

Information analysis and validation of intelligent monitoring systems in ICUs

A comparative analysis of the neonatal prognosis problem using artificial neural networks, statistical techniques and certainty management techniques

A hybrid intelligent system for the pre-processing of fetal heart rate signals in antenatal testing

A neural network approach for symbolic interpretation in critical care

Developing and electrical distribution monitoring system

An expert system approach to antenatal assesment

An approach to validate intelligent monitoring systems in critical care.

Un sistema inteligente para la monitorización de apneas en sueño

Formal validation of the intelligent monitoring system Patricia

Análise integrada de dados de sono num ambiente de neurofisiología clínica

The NST-EXPERT project: The need to evolve

Automated analog to digital conversion of graphical cardiotocographic records

Special issue on medical applications of expert systems

Expert Systems in Medicine

The PATRICIA project: A semantic-based methodology for intelligent monitoring in the ICU

Interpreting fetal well-being tests: The NST-EXPERT project

Computerized antenatal assessment: The NST-EXPERT project

NST EXPERT: An Intelligent Approach to the non-stress testing

FOETOS: An Expert System for Fetal Assessment

Knowledge Representation in Intensive Care Units. Patricia: An Expert System for...

Clinical validation procedure of an expert system for antenatal assessment

NST-EXPERT : NST-EXPERT: An "intelligent" approach to the nonstress test (NST)

An overview of ICU expert systems: temporal or patient oriented approaches?

Obstetrical decision-making based on predictive expert analysis

Computers in ICU monitoring: An intelligent semantic-based method

Uncertainty-based approach for symbolic classi cation of numerical variables in Intensive Care Units

An approach to intensive care monitoring that combines deterministic and heuristic techniques

An ergonomic display for maternal-fetal signals monitoring during labor

FOETOS in clinical practice: A retrospective analysis of its performance

ESTER: An expert system for management of respiratory weaning therapy

Automatic unit for monitoring and diagnosis with the contraction stress test

WEANING FROM MECHANICAL VENTILATION USING A PROTOTYPE CLOSED-LOOP SYSTEM

REGULACIÓN Y CONTROL AUTOMÁTICO DE LA PRESIÓN ARTERIAL MEDIANTE MONITORIZACIÓN

Arti cial Intelligence techniques applied to the CST diagnosis

COMPUTERIZED CLOSED-LOOP CONTROL OF PRE-OPERATIVE ANTI-HYPERTENSIVE ADMINISTRATION