NSL: A language for neural network simulation. - Fivos Panetsos; J. Alonso; E. Barja; Pedro Isasi; V. Olmedo (Microprocess. Microprogramming, 1993)

Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. - Pedro Isasi; José M. Molina López; Araceli Sanchis de Miguel (IWANN, 1997)

Development of On-Off and Off-On Receptive Fields Using a Semistochastic Model. - Enrique M. Muro; Pedro Isasi; Miguel A. Andrade; Federico Morán (IWANN, 1997)

Genetic Programming of Control Knowledge for Planning. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (AIPS, 1998)

Evolving Heuristics for Planning. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (Evolutionary Programming, 1998)

Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (ICML, 1998)

A reactive approach to classifier systems. - José M. Molina 001; Carlos Sevilla; Pedro Isasi; Araceli Sanchis (SMC, 1998)

Neural networks robot controller trained with evolution strategies. - Antonio Berlanga; Pedro Isasi; Araceli Sanchis; José M. Molina 001 (CEC, 1999)

Applying Evolution Strategies to Neural Networks Robot Controller. - Antonio Berlanga; José M. Molina 001; Araceli Sanchis; Pedro Isasi (IWANN (2), 1999)

A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual Cortex. - Enrique M. Muro; Miguel A. Andrade; Pedro Isasi; Federico Morán (IWANN (1), 1999)

Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation. - Araceli Sanchis; José M. Molina 001; Pedro Isasi; Javier Segovia (IWANN (2), 1999)

Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores. - Araceli Sanchis; José M. Molina 001; Pedro Isasi; Javier Segovia (Inteligencia Artif., 1999)

A Computational Model of Evolution: Haploidy versus Diploidy. - Pedro Isasi; Araceli Sanchis; José M. Molina 001; Antonio Berlanga (Comput. Artif. Intell., 1999)

Uniform Coevolution for solving the density classification problem in Cellular Automata. - Antonio Berlanga; Pedro Isasi; Araceli Sanchis de Miguel; José M. Molina 001 (GECCO, 2000)

Knowledge Representation Issues in Control Knowledge Learning. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (ICML, 2000)

Coevolutive adaptation of fitness landscape for solving the testing problem. - Antonio Berlanga; Pedro Isasi; Araceli Sanchis; José R. Molina (SMC, 2000)

Grammars and cellular automata for evolving neural networks architectures. - José M. Molina 001; Inés María Galván; Pedro Isasi; Araceli Sanchis (SMC, 2000)

An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments. - José M. Molina 001; Araceli Sanchis; Antonio Berlanga; Pedro Isasi (Intell. Autom. Soft Comput., 2000)

RTCS: a Reactive with Tags Classifier System. - Araceli Sanchis; José M. Molina 001; Pedro Isasi; Javier Segovia (J. Intell. Robotic Syst., 2000)

Grammars for learning control knowledge with GP. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (CEC, 2001)

Designing nearest neighbour classifiers by the evolution of a population of prototypes. - Fernando Fernández 001; Pedro Isasi (ESANN, 2001)

Deferring the Learning for Better Generalization in Radial Basis Neural Networks. - José María Valls; Pedro Isasi; Inés María Galván (ICANN, 2001)

Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. - Germán Gutiérrez; Pedro Isasi; José M. Molina 001; Araceli Sanchis; Inés María Galván (IWANN (1), 2001)

Analyzing Wavelets Components to Perform Face Recognition. - Pedro Isasi; Manuel Velasco 001; Javier Segovia (IWANN (2), 2001)

Genetic Algorithms Can be Used to Obtain Good Linear Congruential Generators. - Julio C. Hernandez-Castro; Arturo Ribagorda; Pedro Isasi; José M. Sierra (Cryptologia, 2001)

Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (Evol. Comput., 2001)

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. - Inés María Galván; Pedro Isasi; Ricardo Aler; José María Valls (Int. J. Neural Syst., 2001)

Applying classifier systems to learn the reactions in mobile robots. - Araceli Sanchis; Pedro Isasi; José M. Molina López; Javier Segovia (Int. J. Syst. Sci., 2001)

Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. - Inés María Galván; Pedro Isasi (Neural Process. Lett., 2001)

Easing collision finding in cryptographic primitives with genetic algorithms. - Julio CCsar HemBndez; Pedro Isasi; Arturo Ribagorda (IEEE Congress on Evolutionary Computation, 2002)

Genetic Cryptoanalysis of Two Rounds TEA. - Julio César Hernández Castro; José María Sierra; Pedro Isasi; Arturo Ribagorda (International Conference on Computational Science (3), 2002)

Using genetic programming to learn and improve control knowledge. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (Artif. Intell., 2002)

Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. - Fernando Fernández 001; Pedro Isasi Viñuela (Comput. Artif. Intell., 2002)

Generalization capabilities of co-evolution in learning robot behavior. - Antonio Berlanga; Araceli Sanchis; Pedro Isasi; José M. Molina 001 (J. Field Robotics, 2002)

Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. - Antonio Berlanga; Araceli Sanchis; Pedro Isasi; José M. Molina López (J. Intell. Robotic Syst., 2002)

How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. - José María Valls; Inés María Galván; Pedro Isasi (Applied Informatics, 2003)

Finding efficient distinguishers for cryptographic mappings, with an application to the block cipher TEA. - Julio C. Hernandez-Castro; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2003)

Genetic Algorithms for the Generation of Models with Micropopulations. - Yago Sáez; Oscar Sanjuán Martínez; Javier Segovia; Pedro Isasi (EvoWorkshops, 2003)

Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. - Pedro Isasi; Fernando Fernández 001 (IWANN (1), 2003)

A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. - Pedro Isasi; José María Valls; Inés María Galván (IWANN (1), 2003)

Finding Efficient Nonlinear Functions by Means of Genetic Programming. - Julio César Hernández Castro; Pedro Isasi; Cristóbal Luque del Arco-Calderón (KES, 2003)

New results on the genetic cryptanalysis of TEA and reduced-round versions of XTEA. - Julio César Hernández Castro; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2004)

On the design of state-of-the-art pseudorandom number generators by means of genetic programming. - Julio César Hernández Castro; André Seznec; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2004)

Forecasting Time Series by Means of Evolutionary Algorithms. - Cristóbal Luque del Arco-Calderón; Pedro Isasi Viñuela; Julio César Hernández Castro (PPSN, 2004)

Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography. - Pedro Isasi; Julio César Hernández Castro (Comput. Intell., 2004)

Evolutionary Design of Nearest Prototype Classifiers. - Fernando Fernández 001; Pedro Isasi (J. Heuristics, 2004)

Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. - José María Valls; Inés María Galván; Pedro Isasi (Neural Process. Lett., 2004)

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (Congress on Evolutionary Computation, 2005)

Analysis of Ausubel auctions by means of evolutionary computation. - Asunción Mochón; David Quintana; Yago Sáez; Pedro Isasi Viñuela (Congress on Evolutionary Computation, 2005)

Evolutionary rule-based system for IPO underpricing prediction. - David Quintana; Cristóbal Luque del Arco-Calderón; Pedro Isasi (GECCO, 2005)

Genetic Algorithms versus Human Bidding Strategies for Auctions. - Asunción Mochón; David Quintana; Pedro Isasi; Yago Sáez (WSTST, 2005)

Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions. - Yago Sáez; Pedro Isasi; Javier Segovia (WSTST, 2005)

Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. - Germán Gutiérrez; Araceli Sanchis; Pedro Isasi Viñuela; José M. Molina 001; Inés María Galván (Comput. Artif. Intell., 2005)

Evolutionary Computation in Computer Security and Cryptography. - Julio César Hernández Castro; Pedro Isasi Viñuela (New Gener. Comput., 2005)

Reference Chromosome to Overcome User Fatigue in IEC. - Yago Sáez; Pedro Isasi Viñuela; Javier Segovia; Julio César Hernández Castro (New Gener. Comput., 2005)

Evolutionary-stable strategies with increasing and decreasing marginal utilities in the Ausubel auction. - Asunción Mochón; David Quintana; Yago Sáez; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2006)

An Experimental Comparative Study for Interactive Evolutionary Computation Problems. - Yago Sáez; Pedro Isasi; Javier Segovia; Asunción Mochón (EvoWorkshops, 2006)

Evolving hash functions by means of genetic programming. - César Estébanez; Julio César Hernández Castro; Arturo Ribagorda; Pedro Isasi (GECCO, 2006)

Lazy Training of Radial Basis Neural Networks. - José María Valls; Inés María Galván; Pedro Isasi (ICANN (1), 2006)

Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming. - César Estébanez; Julio César Hernández Castro; Arturo Ribagorda; Pedro Isasi Viñuela (PPSN, 2006)

Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. - José María Valls; Inés María Galván; Pedro Isasi Viñuela (Comput. Artif. Intell., 2006)

Bidding with memory in the presence of synergies: a genetic algorithm implementation. - Asunción Mochón; Yago Sáez; David Quintana; Pedro Isasi Viñuela (IEEE Congress on Evolutionary Computation, 2007)

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. - R. Perez-Perez; Cristóbal Luque; Alejandro Cervantes; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2007)

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. - Enrique Alba 001; Alejandro Cervantes; J. A. Gómez; Pedro Isasi; M. D. Jaraíz; Coromoto León; Gabriel Luque; Francisco Luna 001; Gara Miranda; Antonio J. Nebro; Raúl Pérez; Carlos Segura (EUROCAST, 2007)

Time Series Forecasting by means of Evolutionary Algorithms. - Cristóbal Luque del Arco-Calderón; José María Valls; Pedro Isasi Viñuela (IPDPS, 2007)

An Adaptive Michigan Approach PSO for Nearest Prototype Classification. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (IWINAC (2), 2007)

Building Nearest Prototype Classifiers Using a Michigan Approach PSO. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (SIS, 2007)

LRBNN: A Lazy Radial Basis Neural Network model. - José María Valls; Inés María Galván; Pedro Isasi (AI Commun., 2007)

Applied Computational Intelligence for Finance and Economics. - Pedro Isasi; David Quintana; Yago Sáez; Asunción Mochón (Comput. Intell., 2007)

Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation. - Yago Sáez; David Quintana; Pedro Isasi; Asunción Mochón (Comput. Intell., 2007)

Computational Finance and Economics Technical Committee. - Pedro Isasi (IEEE Comput. Intell. Mag., 2007)

Evolving a rule system controller for automatic driving in a car racing competition. - Diego Perez Liebana; Yago Sáez; Gustavo Recio; Pedro Isasi (CIG, 2008)

Testing BOI and BOB Algorithms for Solving the Winner Determination Problem in Radio Spectrum Auctions. - Yago Sáez; Asunción Mochón; José Luis Gómez Barroso; Pedro Isasi (HIS, 2008)

A Study of the Effects of Clustering and Local Search on Radio Network Design: Evolutionary Computation Approaches. - Yago Sáez; Fernando Zazo; Pedro Isasi (HIS, 2008)

Driving Cars by Means of Genetic Algorithms. - Yago Sáez; Diego Perez Liebana; Oscar Sanjuán Martínez; Pedro Isasi (PPSN, 2008)

Nearest prototype classification of noisy data. - Fernando Fernández 001; Pedro Isasi (Artif. Intell. Rev., 2008)

Soft computing techniques applied to finance. - Asunción Mochón; David Quintana; Yago Sáez; Pedro Isasi (Appl. Intell., 2008)

Early bankruptcy prediction using ENPC. - David Quintana; Yago Sáez; Asunción Mochón; Pedro Isasi (Appl. Intell., 2008)

Learning radial basis neural networks in a lazy way: A comparative study. - José María Valls; Inés María Galván; Pedro Isasi Viñuela (Neurocomputing, 2008)

Local Feature Weighting in Nearest Prototype Classification. - Fernando Fernández 001; Pedro Isasi (IEEE Trans. Neural Networks, 2008)

Two-layered evolutionary forecasting for IPO underpricing. - Cristóbal Luque; David Quintana; José María Valls; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2009)

Testing bidding strategies in the clock-proxy auction for selling radio spectrum: A Genetic Algorithm approach. - Asunción Mochón; Yago Sáez; Pedro Isasi; José Luis Gómez Barroso (IEEE Congress on Evolutionary Computation, 2009)

Evolving a fuzzy controller for a Car Racing Competition. - Diego Perez Liebana; Gustavo Recio; Yago Sáez; Pedro Isasi (CIG, 2009)

A Lazy Approach for Machine Learning Algorithms. - Inés María Galván; José María Valls; Nicolas Lecomte; Pedro Isasi (AIAI, 2009)

Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. - Gustavo Recio; Yago Sáez; Pedro Isasi (ISDA, 2009)

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. - Alejandro Cervantes; Inés María Galván; Pedro Isasi Viñuela (New Gener. Comput., 2009)

Benchmarking a Wide Spectrum of Metaheuristic Techniques for the Radio Network Design Problem. - Silvio Priem-Mendes; Guillermo Molina; Miguel A. Vega-Rodríguez; Juan Antonio Gómez Pulido; Yago Sáez; Gara Miranda; Carlos Segura; Enrique Alba 001; Pedro Isasi; Coromoto León; Juan Manuel Sánchez-Pérez (IEEE Trans. Evol. Comput., 2009)

Editorial Special Issue: Computational Finance and Economics. - Edward P. K. Tsang; Pedro Isasi (IEEE Trans. Evol. Comput., 2009)

AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. - Alejandro Cervantes; Inés María Galván; Pedro Isasi (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A multiobjective approach for bidding recommendations in combinatorial auctions. - Yago Sáez; Asunción Mochón; José Luis Gómez Barroso; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2010)

A bio-inspired algorithm for searching relationships in Social Networks. - Jessica Rivero; Dolores Cuadra; Francisco Javier Calle; Pedro Isasi (CASoN, 2011)

Ant Colony to Fast Search of Paths in Huge Networks. - Jessica Rivero; Dolores Cuadra; Francisco Javier Calle; Pedro Isasi (DCAI, 2011)

Portfolio Optimization Using SPEA2 with Resampling. - Sandra García-Rodríguez; David Quintana; Inés María Galván; Pedro Isasi (IDEAL, 2011)

Time series prediction evolving Voronoi regions. - Cristóbal Luque; José María Valls; Pedro Isasi (Appl. Intell., 2011)

A lazy learning approach for building classification models. - Inés María Galván; José María Valls; Miguel García; Pedro Isasi (Int. J. Intell. Syst., 2011)

Using the ACO algorithm for path searches in social networks. - Jessica Rivero; Dolores Cuadra; Francisco Javier Calle; Pedro Isasi (Appl. Intell., 2012)

Time-stamped resampling for robust evolutionary portfolio optimization. - Sandra García-Rodríguez; David Quintana; Inés María Galván; Pedro Isasi (Expert Syst. Appl., 2012)

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm. - Francisco Luna 001; Alejandro Cervantes; Pedro Isasi (3PGCIC, 2013)

Learning from non-stationary data using a growing network of prototypes. - Alejandro Cervantes; Pedro Isasi; Caroline Gagné; Marc Parizeau (IEEE Congress on Evolutionary Computation, 2013)

Multiobjective Algorithms with Resampling for Portfolio Optimization. - Sandra García-Rodríguez; David Quintana; Inés María Galván; Pedro Isasi (Comput. Informatics, 2013)

A scalable machine learning online service for big data real-time analysis. - Alejandro Baldominos; Esperanza Albacete; Yago Sáez; Pedro Isasi (CIBD, 2014)

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. - Madalina M. Drugan; Pedro Isasi; Bernard Manderick (SEAL, 2014)

Extended mean-variance model for reliable evolutionary portfolio optimization. - Sandra García-Rodríguez; David Quintana; Inés María Galván; Pedro Isasi (AI Commun., 2014)

Soft computing in finance and economics. - David Quintana; Pedro Isasi (AI Commun., 2014)

Automatic Design of Noncryptographic Hash Functions using Genetic Programming. - César Estébanez; Yago Sáez; Gustavo Recio; Pedro Isasi Viñuela (Comput. Intell., 2014)

A System for Personality and Happiness Detection. - Yago Sáez; Carlos Navarro; Asunción Mochón; Pedro Isasi (Int. J. Interact. Multim. Artif. Intell., 2014)

Performance of the most common non-cryptographic hash functions. - César Estébanez; Yago Sáez; Gustavo Recio; Pedro Isasi (Softw. Pract. Exp., 2014)

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms. - Alejandro Baldominos; Yago Sáez; Pedro Isasi (GECCO (Companion), 2015)

Monte Carlo Schemata Searching for Physical Activity Recognition. - Alejandro Baldominos; Pedro Isasi; Yago Sáez; Bernard Manderick (INCoS, 2015)

Resting tremor classification and detection in Parkinson's disease patients. - Carmen Camara; Pedro Isasi; Kevin Warwick; Virginie Ruiz; Tipu Z. Aziz; John F. Stein; Eduard Bakstein (Biomed. Signal Process. Control., 2015)

Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization. - David Quintana; Sandra García-Rodríguez; Silvano Cincotti; Pedro Isasi (Int. J. Comput. Intell. Syst., 2015)

Enhancing Financial Portfolio Robustness with an Objective Based on ϵ-Neighborhoods. - Francisco Luna 001; David Quintana; Sandra García-Rodríguez; Pedro Isasi (Int. J. Inf. Technol. Decis. Mak., 2016)

Feature selection for physical activity recognition using genetic algorithms. - Alejandro Baldominos; Pedro Isasi Viñuela; Yago Sáez (CEC, 2017)

Clustering technique for large-scale home care crew scheduling problems. - David Quintana; Alejandro Cervantes; Yago Sáez; Pedro Isasi (Appl. Intell., 2017)

Extending ACO for fast path search in huge graphs and social networks. - Javier Calle-Gómez; Jessica Rivero; Dolores Cuadra; Pedro Isasi (Expert Syst. Appl., 2017)

A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition. - Yago Sáez; Alejandro Baldominos; Pedro Isasi (Sensors, 2017)

Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms. - Alejandro Baldominos; Yago Saez; Pedro Isasi (IDEAL (1), 2018)

Grid-enabled evolution strategies for large-scale home care crew scheduling. - Francisco Luna 001; Alejandro Cervantes; Pedro Isasi; Juan F. Valenzuela-Valdés (Clust. Comput., 2018)

Evaluating and Characterizing Incremental Learning from Non-Stationary Data. - Alejandro Cervantes; Christian Gagné 001; Pedro Isasi; Marc Parizeau (CoRR, 2018)

Evolutionary convolutional neural networks: An application to handwriting recognition. - Alejandro Baldominos; Yago Saez; Pedro Isasi (Neurocomputing, 2018)

A recommender system based on implicit feedback for selective dissemination of ebooks. - Edward Rolando Núñez-Valdéz; David Quintana; Rubén González Crespo; Pedro Isasi; Enrique Herrera-Viedma (Inf. Sci., 2018)

Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments. - Alejandro Baldominos; Yago Saez; Pedro Isasi (Sensors, 2018)

Grammatical Evolution-based ensembles for algorithmic trading. - Carlos Martín; David Quintana; Pedro Isasi (Appl. Soft Comput., 2019)

Evolutionary hash functions for specific domains. - Yago Saez; César Estébanez; David Quintana; Pedro Isasi (Appl. Soft Comput., 2019)

Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning. - Alejandro Baldominos; Yago Saez; Pedro Isasi (Complex., 2019)

Evolution of trading strategies with flexible structures: A configuration comparison. - Carlos Martín; David Quintana; Pedro Isasi (Neurocomputing, 2019)

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. - Alejandro Baldominos; Alejandro Cervantes; Yago Saez; Pedro Isasi (Sensors, 2019)

Advances in Recent Nature-Inspired Algorithms for Neural Engineering. - Ricardo Soto 001; Juan Antonio Gómez Pulido; Eduardo Rodriguez-Tello; Pedro Isasi (Comput. Intell. Neurosci., 2020)

IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems. - Emilio Martín; Alejandro Cervantes; Yago Saez; Pedro Isasi (Expert Syst. Appl., 2020)

On the automated, evolutionary design of neural networks: past, present, and future. - Alejandro Baldominos; Yago Saez; Pedro Isasi (Neural Comput. Appl., 2020)

Dynamic Generation of Investment Recommendations Using Grammatical Evolution. - Carlos Martín; David Quintana; Pedro Isasi (Int. J. Interact. Multim. Artif. Intell., 2021)

Editor's Note. - Antonio A. Golpe; Pedro Isasi; Juan-Manuel Martín-Álvarez; David Quintana (Int. J. Interact. Multim. Artif. Intell., 2022)

AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud. - Alejandro Baldominos Gómez; Yago Saez; David Quintana; Pedro Isasi (Int. J. Interact. Multim. Artif. Intell., 2022)

Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults. - Alejandro Cervantes; David Quintana; Yago Saez; Pedro Isasi (Int. J. Interact. Multim. Artif. Intell., 2024)