Laboratorio de Investigación y Desarrollo en Inteligencia Artificial (LIDIA)

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

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

Machine Learning Methods for Predicting League of Legends Game Outcome

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

Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning

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

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

How important is data quality? Best classifiers vs best features

Data-Driven Predictive Maintenance Framework for Railway systems

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

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

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

Scalable feature selection using ReliefF aided by locality-sensitive hashing

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

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

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

La Inteligencia Artificial en la Educación

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

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

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

Feature selection in image analysis: a survey

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection

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

Insights into distributed feature ranking

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

Large scale anomaly detection in mixed numerical and categorical input spaces

A review of feature selection methods in medical applications

Biases in feature selection with missing data

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

Revisiting the Wang-Mendel algorithm for fuzzy classification

Emerging technologies in artificial intelligence: quantum rule-based systems

A review of adaptive online learning for artificial neural networks

INTELIGENCIA ARTIFICIAL EN LA INGENIERÍA: PASADO, PRESENTE Y FUTURO

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

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

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

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

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

COMBINING MACHINE LEARNING MODELS FOR THE AUTOMATIC DETECTION OF EEG AROUSALS

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

On the use of different base classifiers in multiclass problems

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

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

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

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

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

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

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

Distributed feature selection: An application to microarray data classification

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

Stream change detection via passive-aggressive classification and Bernoulli CUSUM

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

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

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

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 review of microarray datasets and applied feature selection methods

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

Estimating the Parameters of a Fatigue Model Using Benders Decomposition

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

A minimum volume covering approach with a set of ellipsoids

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

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

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

A review of feature selection methods on synthetic data

An Online Learning Algorithm for Adaptable Topologies of Neural Networks

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

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

Toward the scalability of neural networks through feature selection.

Information Theoretic Learning and Local Modeling for Binary and Multiclass Classification

A Mixture of Experts for Classifying Sleep Apneas

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

An ensemble of filters and classifiers for microarray data classification

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

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

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

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

Automatic processing of audiometry sequences for objective screening of hearing loss

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

A robust incremental learning method for non-stationary environments

Path Analysis in Multiple-Target Video Sequences

Scalability Analysis of ANN Training Algorithms with Feature Selection

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

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

Solving Multiple-Target Tracking Using Adaptive Filters

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings

Electrical Distribution Grid Visualization using Programmable GPUs

Contextual and Skin Color Region Information for Locating Human Body Parts

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

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

Efficiency of local models ensembles for time series prediction

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

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

Usability: A Critical Analisis and a Taxonomy

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

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 misuse detection agent for intrusion detection in a multiagent architecture.

Filter methods for feature selection. A comparative study

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

A Fast Semi-Linear Backpropagation Learning Algorithm

Functional network topology learning and sensitivity analysis based on ANOVA decomposition

A Linear Learning method for Multilayer Perceptrons using Least-Squares

Feature selection based on sensitivity analysis

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

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

A Tool for the Analysis and Interpretation of Usability Data

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

Modelling engineering problems using Dimensional Analysis for feature extraction.

Validation and usability analysis of intelligent systems: An integrated approach

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

A Measure of fault tolerance for functional networks

Intelligent diagnosis of sleep apnea syndrome

An intelligent system for the detection and interpretation of sleep apneas

Recovering Missing Data with Functional and Bayesian Networks

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

Linear Least-Squares Based Methods for Neural Networks Learning

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

A Bayesian Neural Network Approach for Sleep Apnea Classification

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

Intelligent interpretation of validation data.

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

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

Adaptive pattern recognition in the analysis of cardiotocographic records

A measure of noise immunitity for functional networks

Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome

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

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

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

Developing and electrical distribution monitoring system

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

An expert system approach to antenatal assesment

Formal validation of the intelligent monitoring system Patricia

Análise integrada de dados de sono num ambiente de neurofisiología clínica

An approach to validate intelligent monitoring systems in critical care.

Un sistema inteligente para la monitorización de apneas en sueño

Automated analog to digital conversion of graphical cardiotocographic records

The NST-EXPERT project: The need to evolve

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

Special issue on medical applications of expert systems

Expert Systems in Medicine

Computerized antenatal assessment: The NST-EXPERT project

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

Computers in ICU monitoring: An intelligent semantic-based method

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

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

Obstetrical decision-making based on predictive expert analysis

Clinical validation procedure of an expert system for antenatal assessment

FOETOS: An Expert System for Fetal Assessment

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

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

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

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

ESTER: An expert system for management of respiratory weaning therapy

FOETOS in clinical practice: A retrospective analysis of its performance

WEANING FROM MECHANICAL VENTILATION USING A PROTOTYPE CLOSED-LOOP SYSTEM

REGULACIÓN Y CONTROL AUTOMÁTICO DE LA PRESIÓN ARTERIAL MEDIANTE MONITORIZACIÓN

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