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

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)

Knowledge acquisition including tags in a classifier system. - Araceli Sanchis; J. M. Molina; P. Isasi; J. Segovia (CEC, 1999)

Decision support system based on fuzzy knowledge applied to a software factory. - Félix Chamorro; Fernando García 001; Araceli Sanchis; José Manuel Molina 001 (EUSFLAT-ESTYLF Joint Conf., 1999)

Fuzzy colour distance applied to region growing in image processing. - R. Soria; Araceli Sanchis; José Manuel Molina 001 (EUSFLAT-ESTYLF Joint Conf., 1999)

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

A general learning co-evolution method to generalize autonomous robot navigation behavior. - Antonio Berlanga; Araceli Sanchis; P. Isasi; J. M. Molina (CEC, 2000)

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)

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)

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)

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)

Generative capacities of grammars codification for evolution of NN architectures. - M. A. Guinea; Germán Gutiérrez; Inés María Galván; Araceli Sanchis; José M. Molina 001 (IEEE Congress on Evolutionary Computation, 2002)

Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. - Germán Gutiérrez; Inés María Galván; José M. Molina 001; Araceli Sanchis (ICANN, 2002)

Predicting opponent actions in the RoboSoccer. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (SMC (2), 2002)

Evolución de gramáticas bidimensionales de contexto libre para el diseño de arquitecturas de redes de neuronas artificiales. - M. A. Guinea; Araceli Sanchis; José M. Molina 001 (Inteligencia Artif., 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)

Modified Self-organizing Maps for Line Extraction in Digitized Text Documents. - Juan Manuel Alonso-Weber; Inés María Galván; Araceli Sanchis de Miguel (Applied Informatics, 2003)

Studying the Capacity of Grammatical Encoding to Generate FNN Architectures. - Germán Gutiérrez; Beatriz García Jiménez; José M. Molina 001; Araceli Sanchis (IWANN (1), 2003)

Empirical Evaluation of Optimized Stacking Configurations. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (ICTAI, 2004)

Studying the capacity of cellular encoding to generate feedforward neural network topologies. - Germán Gutiérrez; Inés María Galván; José M. Molina 001; Araceli Sanchis (IJCNN, 2004)

Predicting Opponent Actions by Observation. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (RoboCup, 2004)

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)

A Static Images Based-System for Traffic Signs Detection. - Valentin Moreno 001; Agapito Ledezma; Araceli Sanchis (Artificial Intelligence and Applications, 2006)

A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (MDAI, 2006)

Sequence Classification Using Statistical Pattern Recognition. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (IDA, 2007)

Specialized Ensemble of Classifiers for Traffic Sign Recognition. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (IWANN, 2007)

Modeling Consciousness for Autonomous Robot Exploration. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis de Miguel (IWINAC (1), 2007)

An Efficient Behavior Classifier based on Distributions of Relevant Events. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis; Gal A. Kaminka (ECAI, 2008)

Genetic Approach for Optimizing Ensembles of Classifiers. - Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FLAIRS, 2008)

Protein-protein functional association prediction using genetic programming. - Beatriz García Jiménez; Ricardo Aler; Agapito Ledezma; Araceli Sanchis (GECCO, 2008)

ADANN: automatic design of artificial neural networks. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (GECCO (Companion), 2008)

Genetic Programming for Predicting Protein Networks. - Beatriz García Jiménez; Ricardo Aler; Agapito Ledezma; Araceli Sanchis (IBERAMIA, 2008)

Applying machine consciousness models in autonomous situated agents. - Raúl Arrabales Moreno; Araceli Sanchis de Miguel (Pattern Recognit. Lett., 2008)

Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (Innovations in Hybrid Intelligent Systems, 2008)

Establishing a roadmap and metrics for conscious machines development. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (IEEE ICCI, 2009)

Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II. - Jorge Muñoz; Germán Gutiérrez; Araceli Sanchis (IEEE Congress on Evolutionary Computation, 2009)

Shuffle design to improve time series forecasting accuracy. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (IEEE Congress on Evolutionary Computation, 2009)

Towards conscious-like behavior in computer game characters. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (CIG, 2009)

Controller for TORCS created by imitation. - Jorge Muñoz; Germán Gutiérrez; Araceli Sanchis (CIG, 2009)

The Winning Advantage: Using Opponent Models in Robot Soccer. - José Antonio Iglesias 001; Juan Antonio Fernández; Ignacio Ramon Villena; Agapito Ledezma; Araceli Sanchis (IDEAL, 2009)

Evolutionary Genetic Algorithms in a Constraint Satisfaction Problem: Puzzle Eternity II. - Jorge Muñoz; Germán Gutiérrez; Araceli Sanchis (IWANN (1), 2009)

Creating User Profiles from a Command-Line Interface: A Statistical Approach. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (UMAP, 2009)

OMBO: An opponent modeling approach. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (AI Commun., 2009)

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Comput. Informatics, 2009)

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. - Paula de Toledo; Pablo M. Rios; Agapito Ledezma; Araceli Sanchis; Jose F. Alen; Alfonso Lagares (IEEE Trans. Inf. Technol. Biomed., 2009)

Ensemble of ANN for Traffic Sign Recognition. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez Sánchez; Agapito Ledezma Espino; Araceli Sanchis de Miguel (Encyclopedia of Artificial Intelligence, 2009)

A human-like TORCS controller for the Simulated Car Racing Championship. - Jorge Muñoz; Germán Gutiérrez; Araceli Sanchis (CIG, 2010)

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (ECAI, 2010)

User modeling: Through statistical analysis and an evolving classifier. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (FUZZ-IEEE, 2010)

Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (ICANN (1), 2010)

S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. - Beatriz García Jiménez; Agapito Ledezma; Araceli Sanchis (IEA/AIE (3), 2010)

Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms. - Juan Peralta; Germán Gutiérrez; Araceli Sanchis (IJCNN, 2010)

Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution. - Juan Peralta; Xiaodong Li 001; Germán Gutiérrez; Araceli Sanchis (IJCNN, 2010)

MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. - Beatriz García Jiménez; Agapito Ledezma; Araceli Sanchis (ILP, 2010)

Evolving classification of agents' behaviors: a general approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2010)

GA-stacking: Evolutionary stacked generalization. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (Intell. Data Anal., 2010)

Human Activity Recognition Based on Evolving Fuzzy Systems. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2010)

Towards gaze-controlled platform games. - Jorge Muñoz; Georgios N. Yannakakis; Fiona Bríd Mulvey; Dan Witzner Hansen; Germán Gutiérrez; Araceli Sanchis (CIG, 2011)

Evolving human activity classifier from sensor streams. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2011)

Evolving time-lagged feedforward neural networks for time series forecasting. - Juan Peralta Donate; Paulo Cortez 001; Araceli Sanchis de Miguel; Germán Gutiérrez Sánchez (GECCO (Companion), 2011)

Evolving sparsely connected neural networks for multi-step ahead forecasting. - Juan Peralta Donate; Paulo Cortez 001; Araceli Sanchis de Miguel; Germán Gutiérrez Sánchez (GECCO (Companion), 2011)

Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series. - Juan Peralta Donate; Paulo Cortez 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (SOCO, 2011)

A plan classifier based on Chi-square distribution tests. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis; Gal A. Kaminka (Intell. Data Anal., 2011)

A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition. - Juan Manuel Alonso-Weber; Araceli Sanchis (Neural Process. Lett., 2011)

ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (Believable Bots, 2012)

A Machine Consciousness Approach to the Design of Human-Like Bots. - Raúl Arrabales Moreno; Jorge Muñoz; Agapito Ledezma; Germán Gutiérrez; Araceli Sanchis (Believable Bots, 2012)

Towards Imitation of Human Driving Style in Car Racing Games. - Jorge Muñoz; Germán Gutiérrez; Araceli Sanchis (Believable Bots, 2012)

Characterizing and Assessing Human-Like Behavior in Cognitive Architectures. - Raúl Arrabales Moreno; Agapito Ledezma; Araceli Sanchis (BICA, 2012)

Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. - Borja Prior González; Juan Peralta Donate; Paulo Cortez 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (EAIS, 2012)

Evolving activity recognition from sensor streams. - José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Paula de Toledo; Araceli Sanchis (EAIS, 2012)

Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data. - Andrés Duque; Francisco Javier Ordóñez; Paula de Toledo; Araceli Sanchis (IWAAL, 2012)

A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors. - Francisco Javier Ordóñez; Andrés Duque; Paula de Toledo; Araceli Sanchis (IWAAL, 2012)

Time Series Forecasting. A Comparative Study between an Evolving Artificial Neural Networks System and Statistical Methods. - Juan Peralta Donate; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (Int. J. Artif. Intell. Tools, 2012)

Data Mining for User Modeling. - José Antonio Iglesias Martínez; Agapito Ledezma Espino; Araceli Sanchis de Miguel (Int. J. Organ. Collect. Intell., 2012)

A Proposal to Create Learning Environments in Virtual Worlds Integrating Advanced Educative Resources. - David Griol; José Manuel Molina 001; Araceli Sanchis de Miguel; Zoraida Callejas (J. Univers. Comput. Sci., 2012)

A new artificial neural network ensemble based on feature selection and class recoding. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (Neural Comput. Appl., 2012)

Creating Evolving User Behavior Profiles Automatically. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (IEEE Trans. Knowl. Data Eng., 2012)

Ensemble method based on individual evolving classifiers. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2013)

Evolving systems for computer user behavior classification. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2013)

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. - Juan Manuel Alonso-Weber; M. Paz Sesmero Lorente; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (ICANN, 2013)

Online activity recognition using evolving classifiers. - Francisco Javier Ordóñez; José Antonio Iglesias 001; Paula de Toledo; Agapito Ledezma; Araceli Sanchis (Expert Syst. Appl., 2013)

Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. - Juan Peralta Donate; Paulo Cortez 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (Neurocomputing, 2013)

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm. - Juan Peralta Donate; Xiaodong Li 001; Germán Gutiérrez Sánchez; Araceli Sanchis de Miguel (Neural Comput. Appl., 2013)

Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors. - Fco. Javier Ordóñez; Paula de Toledo; Araceli Sanchis (Sensors, 2013)

The Geranium System: Multimodal Conversational Agents for E-learning. - David Griol; José Manuel Molina 001; Araceli Sanchis de Miguel (DCAI, 2014)

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2014)

Time series forecasting using Artificial Neural Networks vs. evolving models. - José Antonio Iglesias 001; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (EAIS, 2014)

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. - José Antonio Iglesias 001; David Griol; Agapito Ledezma; Araceli Sanchis (EALS, 2014)

An ensemble method based on evolving classifiers: eStacking. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EALS, 2014)

Agent-based framework for Advanced Driver Assistance Systems in urban environments. - Germán Gutiérrez; José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FUSION, 2014)

Simul-A2: Agent-based simulator for evaluate ADA systems. - Ariel Vernaza; Agapito Ledezma; Araceli Sanchis (FUSION, 2014)

CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Araceli Sanchis (HAIS, 2014)

Giving Voice to the Internet by Means of Conversational Agents. - David Griol; Araceli Sanchis de Miguel; José Manuel Molina 001 (IDEAL, 2014)

News Mining Using Evolving Fuzzy Systems. - José Antonio Iglesias 001; Alexandra Tiemblo; Agapito Ismael Ledezma Espino; Araceli Sanchis (IDEAL, 2014)

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (AIAI, 2014)

A Multimodal Conversational Agent for Personalized Language Learning. - David Griol; Ismael Baena; José Manuel Molina 001; Araceli Sanchis de Miguel (ISAmI, 2014)

Domain and Subtask-Adaptive Conversational Agents to Provide an Enhanced Human-Agent Interaction. - David Griol; José Manuel Molina 001; Araceli Sanchis de Miguel (PAAMS, 2014)

Developing Multimodal Conversational Agents: From the Use of VoiceXML to Android-Based Applications. - David Griol; José Manuel Molina 001; Araceli Sanchis de Miguel (PAAMS, 2014)

Combining additive input noise annealing and pattern transformations for improved handwritten character recognition. - Juan Manuel Alonso-Weber; M. Paz Sesmero Lorente; Araceli Sanchis (Expert Syst. Appl., 2014)

Evolving classification of UNIX users' behaviors. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2014)

Desarrollo de portales de voz municipales interactivos y adaptados al usuario. - David Griol; María García-Jiménez; José Manuel Molina 001; Araceli Sanchis (Proces. del Leng. Natural, 2014)

Utilización de las Tecnologías del Habla y de los Mundos Virtuales para el Desarrollo de Aplicaciones Educativas. - David Griol; Araceli Sanchis; José Manuel Molina 001; Zoraida Callejas (Proces. del Leng. Natural, 2014)

In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. - Francisco Javier Ordóñez; Gwenn Englebienne; Paula de Toledo; Tim van Kasteren; Araceli Sanchis; Ben J. A. Kröse (IEEE Pervasive Comput., 2014)

Predicting Protein Relationshipsto Human Pathways througha Relational Learning ApproachBased on Simple Sequence Features. - Beatriz García Jiménez; Tirso Pons; Araceli Sanchis; Alfonso Valencia (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

An Ensemble-Based Classification Approach to Model Human-Machine Dialogs. - David Griol; Araceli Sanchis de Miguel (CAEPIA, 2015)

Combining Several User Models to Improve and Adapt the Dialog Management Process in Spoken Dialog Systems. - David Griol; José Manuel Molina 001; Araceli Sanchis; Zoraida Callejas (FETLT, 2015)

An Approach to Sentiment Analysis for Mobile Speech Applications. - David Griol; José Manuel Molina 001; Araceli Sanchis; Zoraida Callejas (FETLT, 2015)

Evolving Classifier TEDAClass for Big Data. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2015)

An ensemble approach of dual base learners for multi-class classification problems. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (Inf. Fusion, 2015)

Sensor-based Bayesian detection of anomalous living patterns in a home setting. - Francisco Javier Ordóñez; Paula de Toledo; Araceli Sanchis (Pers. Ubiquitous Comput., 2015)

Generating ensembles of heterogeneous classifiers using Stacked Generalization. - M. Paz Sesmero Lorente; Agapito Ledezma; Araceli Sanchis (WIREs Data Mining Knowl. Discov., 2015)

Autonomous Data Density based clustering method. - Plamen P. Angelov; Xiaowei Gu 001; Germán Gutiérrez; José Antonio Iglesias 001; Araceli Sanchis (IJCNN, 2016)

Parallel Computing TEDA for High Frequency Streaming Data Clustering. - Xiaowei Gu 001; Plamen P. Angelov; Germán Gutiérrez; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2016)

Sequential classifiers for network intrusion detection based on data selection process. - David Camilo Corrales; Juan Carlos Corrales; Araceli Sanchis; Agapito Ledezma (SMC, 2016)

Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series. - Germán Gutiérrez; M. Paz Sesmero Lorente; Araceli Sanchis (SMC, 2016)

Social network analysis: Evolving Twitter mining. - José Antonio Iglesias 001; Aaron Garcia-Cuerva; Agapito Ledezma; Araceli Sanchis (SMC, 2016)

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2016)

Web news mining in an evolving framework. - José Antonio Iglesias 001; Alexandra Tiemblo; Agapito Ledezma; Araceli Sanchis (Inf. Fusion, 2016)

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. - Jose Eduardo Gomez; David Camilo Corrales; Juan Carlos Corrales; Araceli Sanchis; Agapito Ledezma; José Antonio Iglesias 001 (EAIS, 2017)

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. - Igor Skrjanc; Araceli Sanchis de Miguel; José Antonio Iglesias 001; Agapito Ledezma; Dejan Dovzan (EAIS, 2017)

FRB-Dialog: A Toolkit for Automatic Learning of Fuzzy-Rule Based (FRB) Dialog Managers. - David Griol; Araceli Sanchis de Miguel; José Manuel Molina 001 (HAIS, 2017)

A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces. - David Griol; Araceli Sanchis de Miguel; José Manuel Molina 001 (HAIS, 2017)

Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model. - Germán Gutiérrez; M. Paz Sesmero Lorente; Araceli Sanchis (IWANN (2), 2017)

A Data-Driven Approach to Dialog Structure Modeling. - David Griol; Araceli Sanchis; José Manuel Molina 001 (SOCO-CISIS-ICEUTE, 2017)

A Proposal to Integrate Conversational Interfaces in Mobile Learning Applications. - David Griol; Araceli Sanchis; José Manuel Molina 001 (SOCO-CISIS-ICEUTE, 2017)

Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System. - V. Zamora; Oscar Sipele; Agapito Ledezma; Araceli Sanchis (VEHITS, 2017)

Integration of context-aware conversational interfaces to develop practical applications for mobile devices. - David Griol; José Manuel Molina 001; Araceli Sanchis (J. Ambient Intell. Smart Environ., 2017)

Measuring Diversity and Accuracy in ANN Ensembles. - M. Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Alessandro Giuliani; Giuliano Armano; Araceli Sanchis (CAEPIA, 2018)

Opponent Modeling in RoboCup Soccer Simulation. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (WAF, 2018)

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. - Jesus A. Carino; Miguel Delgado Prieto; José Antonio Iglesias 001; Araceli Sanchis; Daniel Zurita; Marta Millán; Juan Antonio Ortega Redondo; René de Jesús Romero-Troncoso (IEEE Access, 2018)

Evolving cloud-based system for the recognition of drivers' actions. - Igor Skrjanc; Goran Andonovski; Agapito Ledezma; Oscar Sipele; José Antonio Iglesias 001; Araceli Sanchis (Expert Syst. Appl., 2018)

Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning. - Paula de Toledo; Rodrigo Pérez-Rodríguez; Pablo de Miguel; Araceli Sanchis; Pablo Serrano (EMBC, 2019)

An Industrial Application of Soft Computing for the Design of Personalized Call Centers. - David Griol; José Manuel Molina 001; Araceli Sanchis (SOCO, 2019)

A Proposal for the Development of Lifelong Dialog Systems. - David Griol; Araceli Sanchis; José Manuel Molina 001 (SOCO, 2019)

Developing enhanced conversational agents for social virtual worlds. - David Griol; Araceli Sanchis; José Manuel Molina 001; Zoraida Callejas (Neurocomputing, 2019)

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. - Igor Skrjanc; José Antonio Iglesias 001; Araceli Sanchis; Daniel F. Leite; Edwin Lughofer; Fernando A. C. Gomide (Inf. Sci., 2019)

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. - José Antonio Iglesias Martínez; María Paz Sesmero Lorente; Elena Magán López; Agapito Ledezma Espino; Araceli Sanchis de Miguel (EAIS, 2020)

Detection of driver maneuvers using evolving fuzzy cloud-based system. - Goran Andonovski; Oscar Sipele; José Antonio Iglesias 001; Araceli Sanchis; Edwin Lughofer; Igor Skrjanc (SSCI, 2020)

Fuzzy Alarm System based on Human-centered Approach. - Elena Magán; Agapito Ledezma; M. Paz Sesmero Lorente; Araceli Sanchis (VEHITS, 2020)

A multimodal conversational coach for active ageing based on sentient computing and m-health. - David Griol; José Manuel Molina 001; Araceli Sanchis (Expert Syst. J. Knowl. Eng., 2020)

A data-driven approach to spoken dialog segmentation. - David Griol; José Manuel Molina 001; Araceli Sanchis; Zoraida Callejas (Neurocomputing, 2020)

CCE: An ensemble architecture based on coupled ANN for solving multiclass problems. - María Paz Sesmero Lorente; Juan Manuel Alonso-Weber; Araceli Sanchis (Inf. Fusion, 2020)

IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic. - Ascensión López-Vargas; Agapito Ledezma; Jack Bott; Araceli Sanchis (IEEE Access, 2021)

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. - M. Paz Sesmero Lorente; José Antonio Iglesias 001; Elena Magán; Agapito Ledezma; Araceli Sanchis (Appl. Soft Comput., 2021)

Adaptive dialogue management using intent clustering and fuzzy rules. - David Griol; Zoraida Callejas; José Manuel Molina 001; Araceli Sanchis (Expert Syst. J. Knowl. Eng., 2021)

An empirical assessment of deep learning approaches to task-oriented dialog management. - Lukás Mateju; David Griol; Zoraida Callejas; José Manuel Molina 001; Araceli Sanchis (Neurocomputing, 2021)

Peripheral Diagnosis for Propagated Network Faults. - Angela M. Vargas-Arcila; Juan Carlos Corrales; Araceli Sanchis; Álvaro Rendón Gallón (J. Netw. Syst. Manag., 2021)

SOFI dataset: Symptom-fault relationship for IP-network. - Angela M. Vargas-Arcila; Juan Carlos Corrales; Araceli Sanchis; Alvaro Rendón (Comput. Networks, 2022)

Evolving Gaussian on-line clustering in social network analysis. - Igor Skrjanc; Goran Andonovski; José Antonio Iglesias 001; María Paz Sesmero; Araceli Sanchis (Expert Syst. Appl., 2022)

Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. - David Yagüe-Cuevas; Pablo Marín-Plaza; María Paz Sesmero; Araceli Sanchis (VEHITS, 2023)

Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. - Ziga Strzinar; Araceli Sanchis; Agapito Ledezma; Oscar Sipele; Bostjan Pregelj; Igor Skrjanc (Sensors, 2023)

Generation and Evaluation of Medical Images Based on Diffusion Models. - José Antonio Iglesias 001; José María Monterrubio; María Paz Sesmero; Araceli Sanchis (EAIS, 2024)

Simulation-based evaluation of model-free reinforcement learning algorithms for quadcopter attitude control and trajectory tracking. - Pablo Caffyn Yuste; José Antonio Iglesias Martínez; María Araceli Sanchis de Miguel (Neurocomputing, 2024)

Mission based systems for connected automated mobility. - David Yagüe-Cuevas; Pablo Marín-Plaza; María Paz Sesmero; Araceli Sanchis (Robotics Auton. Syst., 2024)

A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring. - Javier Borau-Bernad; Álvaro Ramajo Ballester; José María Armingol Moreno; Araceli Sanchis de Miguel (VEHITS, 2025)

Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence. - Diego Caballero García-Alcaide; María Paz Sesmero; José A. Iglesias 001; Araceli Sanchis (VEHITS, 2025)

Unsupervised discovery of 3D structural elements for scanned indoor scenes. - Milos Antic; Andrej Zdesar; José Antonio Iglesias 001; Araceli Sanchis; Igor Skrjanc (Appl. Soft Comput., 2025)