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

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

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

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

Performance and Sustainability of BERT Derivatives in Dyadic Data

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

Minimizing Redundancy in Hand Dynamic Features for Enhanced Sign Language Recognition

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

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

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

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

Fed-mRMR: A lossless federated feature selection method

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fast Deep Autoencoder for Federated Learning

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

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

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

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

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

Feature selection for domain adaptation using complexity measures and swarm intelligence

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

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

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

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

Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning

Machine Learning Methods for Predicting League of Legends Game Outcome

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

How important is data quality? Best classifiers vs best features

Data-Driven Predictive Maintenance Framework for Railway systems

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

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

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

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

La Inteligencia Artificial y la prospectiva

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

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

Uncertainty in Quantum Rule-Based Systems

Scalable feature selection using ReliefF aided by locality-sensitive hashing

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

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

Discovering locations and habits from human mobility data

La Inteligencia Artificial en la Educación

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

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

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

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

From Mobility Data to Habits and Common Pathways

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

Feature selection in image analysis: a survey

A review of feature selection methods in medical applications

Distributed classification based on distances between probability distributions in feature space

Distributed correlation-based feature selection in Spark

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

Ensembles for feature selection: A review and future trends

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

On developing an automatic threshold applied to feature selection ensembles

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

CUDA-JMI: Acceleration of Feature Selection on Heterogeneous Systems

Optimizing novelty and diversity in recommendations

Large scale anomaly detection in mixed numerical and categorical input spaces

Biases in feature selection with missing data

Insights into distributed feature ranking

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

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

Emerging technologies in artificial intelligence: quantum rule-based systems

A review of adaptive online learning for artificial neural networks

Revisiting the Wang-Mendel algorithm for fuzzy classification

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

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

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

INTELIGENCIA ARTIFICIAL EN LA INGENIERÍA: PASADO, PRESENTE Y FUTURO

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

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

Testing different ensemble configurations for feature selection

Testing different ensemble con gurations for feature selection

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

On the use of different base classifiers in multiclass problems

COMBINING MACHINE LEARNING MODELS FOR THE AUTOMATIC DETECTION OF EEG AROUSALS

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

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

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

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

Volume, Variety and Velocity in Data Science.

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

On the use of different base classifiers in multiclass problems

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

A unified pipeline for online feature selection and classification

Fault detection via Recurrence Time statistics and one class classi cation

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

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

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

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

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

Multithreaded and Spark Parallelization of Feature Selection Filters

Feature selection for high-dimensional data.

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

Data Discretization: Taxonomy and Big Data Challenge.

Plus disease: is it more than meets the ICROP?

Ensemble feature selection: Homogeneous and heterogeneous approaches

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

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

Stream change detection via passive-aggressive classification and Bernoulli CUSUM

AEPIA: Spanish Association for Arti cial Intelligence

Distributed one-class support vector machine

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

Automatic classification of respiratory patterns involving missing data imputation techniques

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

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

Recent advances and emerging challenges in feature selection.

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

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

Distributed feature selection: An application to microarray data classification

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

A review of microarray datasets and applied feature selection methods

Can artificial intelligence benefit from quantum computing?

A framework for cost-based feature selection

Multiple human tracking system for unpredictable trajectories

A Methodology for Improving Tear Film Lipid Layer Classification

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks

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

A spatial discrepancy measure between voxel sets in brain imaging

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

Data classification using an ensemble of filters

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

Toward the scalability of neural networks through feature selection.

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

A minimum volume covering approach with a set of ellipsoids

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

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

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

A review of feature selection methods on synthetic data

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

Estimating the Parameters of a Fatigue Model Using Benders Decomposition

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

An Online Learning Algorithm for Adaptable Topologies of Neural Networks

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

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

A Mixture of Experts for Classifying Sleep Apneas

Automatic processing of audiometry sequences for objective screening of hearing loss

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

An ensemble of filters and classifiers for microarray data classification

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

Information Theoretic Learning and Local Modeling for Binary and Multiclass Classification

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

A robust incremental learning method for non-stationary environments

Efficiency of local models ensembles for time series prediction

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

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

Reducing dimensionality in a database of sleep EEG arousals

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

Contextual and Skin Color Region Information for Locating Human Body Parts

Electrical Distribution Grid Visualization using Programmable GPUs

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings

Solving Multiple-Target Tracking Using Adaptive Filters

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

Scalability Analysis of ANN Training Algorithms with Feature Selection

Path Analysis in Multiple-Target Video Sequences

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

A Context-of-Use Taxonomy for Usability Studies

Usability: A Critical Analisis and a Taxonomy

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

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

Causal Temporal Constraint Networks for Representing Temporal Knowledge

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

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

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

An Expert System to Achieve Fuzzy Interpretations of Validation Data

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

A Fast Semi-Linear Backpropagation Learning Algorithm

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

Filter methods for feature selection. A comparative study

A Linear Learning method for Multilayer Perceptrons using Least-Squares

Functional network topology learning and sensitivity analysis based on ANOVA decomposition

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

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

Feature selection based on sensitivity analysis

A Fast Classification Algorithm Based on Local Models

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

A Fast Classification Algorithm Based on Local Models

Functional Networks and Analysis of Variance for Feature Selection

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

A Tool for the Analysis and Interpretation of Usability Data

Validation and usability analysis of intelligent systems: An integrated approach

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

Modelling engineering problems using Dimensional Analysis for feature extraction.

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

A Measure of fault tolerance for functional networks

Intelligent diagnosis of sleep apnea syndrome

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

An intelligent system for the detection and interpretation of sleep apneas

Linear Least-Squares Based Methods for Neural Networks Learning

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

A Bayesian Neural Network Approach for Sleep Apnea Classification

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

Recovering Missing Data with Functional and Bayesian Networks

A global optimum approach for one laye neural neworks

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

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

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

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

A Global Optimum Approach for One-Layer Neural Networks

Intelligent interpretation of validation data.

Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome

A measure of noise immunitity for functional networks

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

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

Functional Networks

Adaptive pattern recognition in the analysis of cardiotocographic records

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

Validation of Intelligent Systems: A Critical Study and a Tool

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

Sistemas Expertos. Prueba Diagnóstica

Bilingüismo, Capacidad Cognitiva y Aprendizaje de Lenguas

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

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

Integration of Data, Information and Knowledge in Intelligent Patient Monitoring

Developing and electrical distribution monitoring system

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

Information analysis and validation of intelligent monitoring systems in ICUs

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

Un sistema inteligente para la monitorización de apneas en sueño

An expert system approach to antenatal assesment

Formal validation of the intelligent monitoring system Patricia

An approach to validate intelligent monitoring systems in critical care.

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

Computers in ICU monitoring: An intelligent semantic-based method

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

Clinical validation procedure of an expert system for antenatal assessment

Obstetrical decision-making based on predictive expert analysis

FOETOS: An Expert System for Fetal Assessment

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

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

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

FOETOS in clinical practice: A retrospective analysis of its performance

ESTER: An expert system for management of respiratory weaning therapy

An ergonomic display for maternal-fetal signals monitoring during labor

WEANING FROM MECHANICAL VENTILATION USING A PROTOTYPE CLOSED-LOOP SYSTEM

Automatic unit for monitoring and diagnosis with the contraction stress test

REGULACIÓN Y CONTROL AUTOMÁTICO DE LA PRESIÓN ARTERIAL MEDIANTE MONITORIZACIÓN

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

Arti cial Intelligence techniques applied to the CST diagnosis