Laboratorio de Investigación y Desarrollo en Inteligencia Artificial (LIDIA)

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

How important is data quality? Best classifiers vs best features

Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times

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

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

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

Machine Learning Methods for Predicting League of Legends Game Outcome

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

Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning

Manual versus computer-aided scoring of sleep studies: preliminary results on inter-rater agreement and analysis of scoring time differences in one sleep center

Data-Driven Predictive Maintenance Framework for Railway systems

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

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

Scalable feature selection using ReliefF aided by locality-sensitive hashing

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

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

Inter-database validation of a deep learning approach for automatic sleep scoring

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

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

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

Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring

Discovering locations and habits from human mobility data

La Inteligencia Artificial en la Educación

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

Sleep-related leg movements in obstructive sleep apnea: definitions, determinants, and clinical consequences

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

From Mobility Data to Habits and Common Pathways

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

Optimizing recommendation novelty and diversity

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

Feature selection in image analysis: a survey

A review of feature selection methods in medical applications

Machine learning for predicting early left ventricular abnormalities in the general population

Distributed correlation-based feature selection in Spark

Large scale anomaly detection in mixed numerical and categorical input spaces

Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases

Ensembles for feature selection: A review and future trends

Insights into distributed feature ranking

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

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

Distributed classification based on distances between probability distributions in feature space

On developing an automatic threshold applied to feature selection ensembles

CUDA-JMI: Acceleration of Feature Selection on Heterogeneous Systems

Biases in feature selection with missing data

Revisiting the Wang-Mendel algorithm for fuzzy classification

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

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

INTELIGENCIA ARTIFICIAL EN LA INGENIERÍA: PASADO, PRESENTE Y FUTURO

Emerging technologies in artificial intelligence: quantum rule-based systems

A review of adaptive online learning for artificial neural networks

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

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

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

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

Testing different ensemble con gurations for feature selection

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

On the use of different base classifiers in multiclass problems

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

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

Testing different ensemble configurations for feature selection

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

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

Volume, Variety and Velocity in Data Science.

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

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

Multithreaded and Spark Parallelization of Feature Selection Filters

Fault detection via Recurrence Time statistics and one class classi cation

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

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

Plus disease: is it more than meets the ICROP?

Ensemble feature selection: Homogeneous and heterogeneous approaches

Data Discretization: Taxonomy and Big Data Challenge.

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

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

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

Feature selection for high-dimensional data.

A unified pipeline for online feature selection and classification

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

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

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

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

Automatic classification of respiratory patterns involving missing data imputation techniques

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

Stream change detection via passive-aggressive classification and Bernoulli CUSUM

Recent advances and emerging challenges in feature selection.

Distributed feature selection: An application to microarray data classification

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

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

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

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

Distributed one-class support vector machine

AEPIA: Spanish Association for Arti cial Intelligence

Multiple human tracking system for unpredictable trajectories

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks

A spatial discrepancy measure between voxel sets in brain imaging

A Methodology for Improving Tear Film Lipid Layer Classification

A review of microarray datasets and applied feature selection methods

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

Data classification using an ensemble of filters

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

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

A framework for cost-based feature selection

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

Can artificial intelligence benefit from quantum computing?

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

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

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

A minimum volume covering approach with a set of ellipsoids

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

Toward the scalability of neural networks through feature selection.

Estimating the Parameters of a Fatigue Model Using Benders Decomposition

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

An Online Learning Algorithm for Adaptable Topologies of Neural Networks

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

A review of feature selection methods on synthetic data

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

A Mixture of Experts for Classifying Sleep Apneas

Application of RFID Technology in Patient Tracking and Medication Traceability in Emergency Care

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

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

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

Automatic processing of audiometry sequences for objective screening of hearing loss

Reducing dimensionality in a database of sleep EEG arousals

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

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings

Path Analysis in Multiple-Target Video Sequences

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

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

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

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

Electrical Distribution Grid Visualization using Programmable GPUs

Efficiency of local models ensembles for time series prediction

Scalability Analysis of ANN Training Algorithms with Feature Selection

Solving Multiple-Target Tracking Using Adaptive Filters

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

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

Usability: A Critical Analisis and a Taxonomy

Classifying Sleep Apneas Using Neural Networks and a Combination of Experts

A Context-of-Use Taxonomy for Usability Studies

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

An Expert System to Achieve Fuzzy Interpretations of Validation Data

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

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

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

Functional network topology learning and sensitivity analysis based on ANOVA decomposition

Filter methods for feature selection. A comparative study

A Fast Semi-Linear Backpropagation Learning Algorithm

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

A Linear Learning method for Multilayer Perceptrons using Least-Squares

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

Feature selection based on sensitivity analysis

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

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

Functional Networks and Analysis of Variance for Feature Selection

A Fast Classification Algorithm Based on Local Models

A Tool for the Analysis and Interpretation of Usability Data

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

Validation and usability analysis of intelligent systems: An integrated approach

A Measure of fault tolerance for functional networks

Intelligent diagnosis of sleep apnea syndrome

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

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

Recovering Missing Data with Functional and Bayesian Networks

A global optimum approach for one laye neural neworks

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

Intelligent interpretation of validation data.

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

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

Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome

Adaptive pattern recognition in the analysis of cardiotocographic records

A measure of noise immunitity for functional networks

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

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

Validation of Intelligent Systems: A Critical Study and a Tool

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

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

Bilingüismo, Capacidad Cognitiva y Aprendizaje de Lenguas

An Artificial Intelligence Approach to the Monitoring of Sleep Apneas

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

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

A neural network approach for symbolic interpretation in critical care

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

Developing and electrical distribution monitoring system

An approach to validate intelligent monitoring systems in critical care.

Análise integrada de dados de sono num ambiente de neurofisiología clínica

Formal validation of the intelligent monitoring system Patricia

Un sistema inteligente para la monitorización de apneas en sueño

An expert system approach to antenatal assesment

The NST-EXPERT project: The need to evolve

Automated analog to digital conversion of graphical cardiotocographic records

Expert Systems in Medicine

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

Special issue on medical applications of expert systems

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

Computerized antenatal assessment: The NST-EXPERT project

Clinical validation procedure of an expert system for antenatal assessment

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

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

FOETOS: An Expert System for Fetal Assessment

Computers in ICU monitoring: An intelligent semantic-based method

Obstetrical decision-making based on predictive expert analysis

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

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

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

WEANING FROM MECHANICAL VENTILATION USING A PROTOTYPE CLOSED-LOOP SYSTEM

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

REGULACIÓN Y CONTROL AUTOMÁTICO DE LA PRESIÓN ARTERIAL MEDIANTE MONITORIZACIÓN