Publicaciones

El perfil investigador del grupo CAOS está intrínsecamente ligado a su labor educativa dentro del Departamento de Informática de la Universidad Carlos III de Madrid (UC3M). Los miembros del grupo, en su mayoría catedráticos, profesores titulares y ayudantes doctores, trasladan sus descubrimientos científicos directamente a los planes de estudio. En los siguientes códigos QR puedes encontrar las aportaciones de cada uno de sus miembros a la comunidad científica.

Publicaciones por Año

Fault Diagnosis for IP-Based Networks Using Incremental Learning Algorithms and Data Stream Methods. Angela María Vargas-Arcila, Angela Rodríguez-Vivas, Juan Carlos Corrales, Araceli Sanchis, Álvaro Rendón Gallón. Technologies, 2026, 14(2), 132; https://doi.org/10.3390/technologies14020132.
Development of an AI-Based Clinical Decision Support System to Predict and Simulate Exercise-Driven Functional Improvement in Cardiac Rehabilitation. Arturo Martinez-Rodrigo, Celia Álvarez-Bueno, Araceli Sanchis, Laura Núñez-Martínez, José Manuel Pastor, and Susana Priego-Jiménez. Applied Sciences 2026, 16(3), 1358, https://doi.org/10.3390/app16031358.
V2I-based Real-Time Lane Deviation Handling for Automated Vehicles to Face Road Characteristics Changes. Yagüe-Cuevas, D.; Castellanos, C.; Jimenez, F.; Marín-Plaza, P.; Eugenio-Naranjo, J.; Pérez, M.; Sanchis, A.; Paz-Sesmero, M.; María-Armingol, J. (2026). Transport Research Arena 2026. Hungría. Budapest.
Enhancing Road-Work Safety: AI Driven Multi-Camera Vehicle Tracking in V2I Cooperation for Lane Maintenance. David Yagüe-Cuevas,Carlos Castellanos, Pablo Marín-Plaza, María-Paz Sesmero, José-María Armingol, Araceli Sanchis. In IEEE Conference on Artificial Intelligence (CAI), Granada, Spain, 2026, pp. 1719-1724. doi: 10.1109/CAI68641.2026.11536159
Emotion Recognition in Driver-Centered ADAS: A Modular Vision-Based Approach for In-Cabin Monitoring. José Antonio Iglesias; Matthias Alexander Gdanietz; María Paz Sesmero; Araceli Sanchis; Agapito Ledezma. In IEEE Conference on Artificial Intelligence (CAI), Granada, Spain, 2026, pp. 1787-1792. doi: 10.1109/CAI68641.2026.11536360
Pedaling through agent-based modeling in geospatial contexts: a methodological approach. J. S. Menendez, J. A. Iglesias and A. Ledezma. In 2026 IEEE Conference on Artificial Intelligence (CAI), Granada, Spain, 2026, pp. 1781-1786, doi: 10.1109/CAI68641.2026.11536339.
Visual Deep Reinforcement Learning for Adaptive Traffic Signal Control: A Neuro-Symbolic XAI Approach. Diego Caballero; María-Paz Sesmero; José-María Armingol; Araceli Sanchis. In IEEE Conference on Artificial Intelligence (CAI), Granada, Spain, 2026, pp. 1793-1798. doi: 10.1109/CAI68641.2026.11536202.
V2X-Enabled Infrastructure Support for Autonomous Navigation in Dynamic Road Configurations. David Yagüe-Cuevas; Carlos Castellanos; Felipe Jiménez; Pablo Marín-Plaza; José E. Naranjo; Mario Pérez, Araceli Sanchis, María-Paz Sesmero, José-María Armingol, Elisa Perez, Válery Quintal. In IEEE Conference on Artificial Intelligence (CAI), Granada, Spain, 2026,1823-1828. doi: 10.1109/CAI68641.2026.11536611

An Active Learning and Deep Attention Framework for Robust Driver Emotion Recognition, Bashar Sami Nayyef Al-dabbagh, Agapito Ledezma Espino and Araceli Sanchis de Miguel. Algorithms 2025, 18(10), 669; https://doi.org/10.3390/a18100669.
Unsupervised discovery of 3D structural elements for scanned indoor scenes. Antic, Milos; Zdesar, Andrej; Iglesias, José Antonio; Sanchis, Araceli; Skrjanc, Igor. Applied Soft Computing. Volume 170, February 2025. 10.1016/j.asoc.2024.112680.
Castellanos, C.; Yagüe-Cuevas, D.; Marín-Plaza, P.; Paz-Sesmero, M.; Armingol, José; Sanchis, A. (2025).
Emergency Strategy Selection Based on Self-Awareness in Autonomous Vehicles. Proceedings of 9th International Conference on Intelligent Traffic andTransportation, pp. 128–137. Ámsterdam, Países Bajos. doi: 10.3233/ATDE251430
Timestamp Supervision for Surgical Phase Recognition Using Semi-Supervised Deep Learning. Julia de Enciso, Alba Centeno , Ángela González-Cebrián, María-Paz Sesmero; Araceli Sanchis, Igor Paredes, Alfonso Lagares, Paula de Toledo. Appl. Sci. 2025, 15, 12525. https://doi.org/10.3390/app152312525
IA explicable en detección de emociones y somnolencia para ADAS. Diego Caballero; María-Paz Sesmero; José-María Armingol; Araceli Sanchis. XLVI Jornadas de Automática, Cartagena, 3-5 de Septiembre 2025. DOI: 10.17979/ja-cea.2025.46.12074
Sistema Escalable de Detección de Vehículos para Infraestructuras Inteligentes. Javier Borau Bernad, José María Armingol Moreno, Araceli Sanchis de Miguel. XLVI Jornadas de Automática, Cartagena, 3-5 de Septiembre 2025. DOI: https://doi.org/10.17979/ja-cea.2025.46.12076
Mitigating Urban Congestion: A Cooperative Reservation Framework for Automated Vehicles. David Yagüe-Cuevas, Pablo Marín-Plaza, María-Paz Sesmero Lorente, Stephen F. Smith, Araceli Sanchis, José-María Armingol. Appl. Sci. 2025, 15, 5347. https://doi.org/10.3390/app15105347
Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence. Diego Caballero, María-Paz Sesmero, José A.Iglesias, Araceli Sanchis. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2025), pages 334-341, 2025, Porto, Portugal. DOI: 10.5220/0013204400003941
Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility. David Yagüe-Cuevas, Pablo Marín-Plaza, María_Paz Sesmero, Araceli Sanchis. In: Klein, C., Jarke, M., Ploeg, J., Berns, K., Vinel, A., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS 2023/VEHITS 2023. Communications in Computer and Information Science, vol 1989, pp.98-122,2025. Springer, Cham. https://doi.org/10.1007/978-3-031-70966-1_5
A Modular Detection System for Smart Cities: Integrating Monocular and LiDAR Solutions for Scalable Traffic Monitoring. J. Borau, A. Ramajo, J.M. Armingol, A. Sanchis. 10th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2024). Oporto (Portugal) 2-4- abril 2025.

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, Vol. 608, 1 December 2024, https://doi.org/10.1016/j.neucom.2024.128362.
Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility. Yagüe-Cuevas, D.; Marín-Plaza, P.; Paz-Sesmero, M. and Sanchis, A. (2024). Communications in Computer and Information Science (CCIS), ISSN 1865-0929.
Organizing planning knowledge for automated vehicles and intelligent transportation systems. David Yagüe-Cuevas, María Paz-Sesmero, Pablo Marín-Plaza, Araceli Sanchis. IET Intelligent Transport Systems https://doi.org/10.1049/itr2.12583
Mission based systems for connected automated mobility. David Yagüe-Cuevas, Pablo Marín-Plaza, María-Paz Sesmero, Araceli Sanchis. Robotics and Autonomous Systems. Volume 180, October 2024. https://doi.org/10.1016/j.robot.2024.104772
Generation and Evaluation of Medical Images Based on Diffusion Models. José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis. EAIS 2024: 1-8.
Behavioral based Decision-Making Scheme for Cooperative Connected Automated Mobility. David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz-Sesmero and Araceli Sanchis. In 10th International Conference on Connected Smart Cities, IADIS 2024, pp. 99–107. Budapest, Hungría. doi: https://www.iadisportal.org/bigdaci-csc-eh-2024-proceedings
Multi-agent Simulation Scheme for Cooperative Connected Automated Mobility Based on ROS and Carla. David Yagüe-Cuevas, Pablo Marín-Plaza, María-Paz Sesmero, Stephen Smith, Araceli Sanchis, José María-Armingol (2024). In the 8th International Conference on Intelligent Traffic and Transportation. pp. 221–230. Florencia, Italia. Doi: 10.3233/ATDE241196
Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility. Yagüe-Cuevas, D.; Marín-Plaza, P.; Sesmero, M.P.. and Sanchis, A. (2024). Communications in Computer and Information Science (CCIS), Vol 1989, p.p. 98-122. ISSN 1865-0929. https://doi.org/10.1007/978-3-031-70966-1_5
Generation and Evaluation of Medical Images Based on Diffusion Models, José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis, 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), madrid, mayo 2024.

Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity, Žiga Stržinar *, Araceli Sanchis, Agapito Ledezma, Oscar Sipele, Boštjan Pregelj, Igor Škrjanc. Sensors, 2023, 23, 963. https://doi.org/10.3390/s23020963.
Organizing Connected and Autonomous Vehicles using a Distributed Decision Scheme, Felipe Jiménez, Álvaro Ramajo, David Yagüe, Sergio Bemposta, Sofía Sánchez, José María Armingol, Javier Fernández Andrés, José Eugenio Naranjo, Araceli Sanchis, Nourdine Aliane. Fisita World Congress. Barcelona, España, 12-15 Septiembre (2023).
Personalized monitoring of circulating tumor DNA with a specific signature of trackable mutations after chimeric antigen receptor T-cell therapy in follicular lymphoma patients. Ana Jiménez Ubieto; Alejandro Martín Muñoz; María Poza; Sara Dorado Alfaro; Almudena García Ortiz; Enrique Revilla; Pilar Sarandeses; Yanira Ruiz Heredia; Tycho Baumann; Antonia Rodríguez; María Calbacho; Pilar Martínez Sánchez; José María Sánchez Pina; Chongwu Wang; María Teresa Cedena; Alejandro Martín García-Sancho; Gloria Figaredo; Daniel Gil Alós; Laura Rufián; Margarita Rodríguez; Laura Carneros; Carolina Martinez Laperche; Mariana Bastos Oreiro; Inmaculada Rapado; De Toledo Heras, Paula; Miguel Gallardo; Antonio Valeri; Rosa Ayala; Joaquín Martínez López; Santiago Barrio A. Frontiers in Immunology. 2023. DOI: 10.3389/fimmu.2023.1188818
Real-life disease monitoring in follicular lymphoma patients using liquid biopsy ultra-deep sequencing and PET/CT. Jimenez Ubieto Ana; Poza Maria; Martin Muñoz Alejandro; Ruiz Heredia Yanira; Dorado Sara; Figaredo Gloria; Rosa Rosa Juan Manuel; Rodriguez Antonia; Barcena Carmen; Navamuel Laura Parrilla; Carrillo Jaime; Sanchez Ricardo; Rufian Laura; Juarez Alexandra; Rodriguez Margarita; Wang Chongwu. De Toledo Paula; Grande Carlos; Mollejo Manuela; Casado Luis Felipe; Calbacho Maria; Baumann Tycho; Rapado Inmaculada; Gallardo Miguel; Sarandeses Pilar; Ayala Rosa; Martinez Lopez Joaquin; Barrio Santiago. Leukemia. 2023. DOI: https://doi.org/10.1038/s41375-022-01803-x
Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz-Sesmero, Araceli Sanchis. 9th international Conference on Vehicle Technology and Intelligent Transport Systems, Vehits 2023, Praga, 25-29 abril (2023).
Modeling the Traffic Scene in Intelligent Transport Systems for Cooperative Connected Automated Mobility. Springer Book of VEHITS 2023. David Yagüe, Pablo Marín-Plaza, María Paz-Sesmero and Araceli Sanchis
Nearest Pose Index Computation for Lateral Control in Autonomous Vehicles. David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz-Sesmero, Araceli Sanchis. 15th ITS European Congress, Lisboa, 22-24 Mayo (2023).

SOFI dataset: Symptom-Fault relationship for IP-Network, Angela Vargas-Arcila, Juan Carlos Corrales, Araceli Sanchis, Alvaro Rendón, Computer Networks, 2022, 109233. https://doi.org/10.1016/j.comnet.2022.109233
Evolving Gaussian on-line clustering in social network analysis, Igor Škrjank, Goran Andonovski, José AntonioIglesias, María Paz Sesmero, Araceli Sanchis, Expert Systems with Applications, Volume 207, 30 November 2022, 117881. https://doi.org/10.1016/j.eswa.2022.117881.
Methods, Data Sources and Applications of The Artificial Intelligence in The Energy Poverty Context: A Review, Dr Ascension Lopez Vargas, Agapito Ledezma-Espino, Araceli Sanchis de Miguel, Energy & Buildings, 268 (2022) 112233, https://doi.org/10.1016/j.enbuild.2022.112233.
Evolving Gaussian on-line clustering in social network analysis. Igor Skrjanc, Goran Andonovski, José Antonio Iglesias, María Paz Sesmero, Araceli Sanchis. Expert Syst. Appl. 207: 117881 (2022)
Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. Edwar Javier Giron Buitron, David Camilo Corrales, María Paz Sesmero, José Antonio Iglesias, Juan Carlos Corrales. Syst. 13(4): 625-636 (2022).
Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images, Elena Magan, María Paz Sesmero*, Juan M. Alonso-Weber, Araceli Sanchis. Applied Sciences, Special Issue Application of Artificial Intelligence, Deep Neural Networks, 2022, 12, 1145. https://doi.org/10.3390/app12031145.
Contrastive Learning for Simulation-to-Real Domain Adaptation of LiDAR Data. Alejandro Barrera, Fernando García, José Antonio Iglesia. EUROCAST 2022: 345-353
Detection of kinase Domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA. Ricardo Sánchez, Sara Dorado, Yanira Ruíz-Heredia, Alejandro Martín-Muñoz, Juan Manuel Rosa-Rosa, Jordi Ribera, Olga García, Ana Jimenez-Ubieto, Gonzalo Carreño-Tarragona, María Linares, Laura Rufián, Alexandra Juárez, Jaime Carrillo, María José Espino, Mercedes Cáceres, Sara Expósito, Beatriz Cuevas, Raúl Vanegas, Luis Felipe Casado, Anna Torrent, Lurdes Zamora, Santiago Mercadal, Rosa Coll, Marta Cervera, Mireia Morgades, José Ángel Hernández-Rivas, Pilar Bravo, Cristina Serí, Eduardo Anguita, Eva Barragán, Claudia Sargas, Francisca Ferrer-Marín, Jorge Sánchez-Calero, Julián Sevilla, Elena Ruíz, Lucía Villalón, María del Mar Herráez, Rosalía Riaza, Elena Magro, Juan Luis Steegman, Chongwu Wang, Paula De Toledo , Valentín García-Gutiérrez, Rosa Ayala, Josep-Maria Ribera, Santiago Barrio, Joaquín Martínez-López. Scientific Reports. 2022. DOI: https://doi.org/10.1038/s41598-022-17271-3

The Internet of Things for Global Development to Achieve the United Nations Sustainable Development Goals: The new scenario after the COVID-19 pandemic”, Ascensión López-Vargas, Agapito Ledezma-Espino, Jack Bott, and Araceli Sanchis-de-Miguel. IEEE Access. DOI: 10.1109/ACCESS.2021.3109338.
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Paz Sesmero, José Antonio Iglesias, Elena Magan, Agapito Ledezma Araceli Sanchis. Applied Soft Computing, Volume 111, November 2021, 107689. https://doi.org/10.1016/j.asoc.2021.107689. Elsevier.
Lane Following Learning based on Semantic Segmentation with Chroma Key and Image Superposition, Javier Corrochano, Juan M. Alonso-Weber *, María Paz Sesmero, Araceli Sanchis, Electronics 2021, 10 (24), 3113; https://doi.org/10.3390/electronics10243113, special Issue on Artificial Intelligence, Deep Learning for Computer Vision: Algorithms, Theory and Application. ISSN: 20799292. MDPI.
Implementing a gaze tracking algorithm for improving advanced driver assistance systems, Agapito Ledezma, Víctor Zamora, Óscar Sipele, M. Paz Sesmero, Araceli Sanchis, Electronics, Electrical and Autonomous Vehicles section, Electronics 2021, 10 (12), 1480. DOI: 10.3390/electronics10121480. ISSN: 20799292.
Explaining Deep Learning-Based Driver Models Lorente, Maria P.S.; Lopez, Elena M.; Florez, Laura A.; Espino, Agapito L.; Martínez, José A.I.; & Sanchis de Miguel, A. Applied Sciences 11, no. 8: 3321, (2021). https://doi.org/10.3390/app11083321.
Peripheral Diagnosis for Propagated Network Faults, Angela María Vargas-Arcila; Juan Carlos Corrales, PhD; Araceli Sanchis, PhD; Álvaro Rendón Gallón, PhD, Journal of Network and Systems Management, 29(2): 14 (2021). Springer
Adaptive dialogue management using intent clustering and fuzzy rules, D. Griol, Z. Callejas, J. M. Molina, A. Sanchis. Expert Systems, 38(1) (2021) DOI: 10.1111/exsy.12630.
An empirical assessment of deep learning approaches to task-oriented dialog management, Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis. Neurocomputing, 439: 327-339 (2021). https://doi.org/10.1016/j.neucom.2020.01.126.
Selection of Online Network Traffic Discriminators for on-The-Fly Traffic Classification, Angela M. Vargas Arcila, Juan Carlos Corrales Muñoz, Alvaro Rendon Gallon, Araceli Sanchis. Revista Ingenierías Universidad de Medellín, 2021-03-08, Artículo de revista, DOI: 10.22395/rium.v20n38a4.
BirdNet+: Two-Stage 3D Object Detection in LiDAR Through a Sparsity-Invariant Bird’s Eye View. Alejandro Barrera, Jorge Beltrán, Carlos Guindel, José Antonio Iglesias, Fernando García. IEEE Access 9: 160299-160316 (2021).
Distributed decision support system for cooperative connected and autonomous driving in complex environments. Felipe Jiménez, Armando Astudillo, Borja Monsalve, M. Paz Sesmero, José María Armingol, Javier Fernández Andrés, José Eugenio Naranjo, Araceli Sanchis, Nourdine Aliane. 27th ITS World Congress, Hamburg, Germany,11-15 Octubre 2021.
Sistema de Arbitraje Distribuido para Conducción Cooperativa, Conectada y Autónoma en Entornos Complejos, Felipe Jiménez, Armando Astudillo, Borja Monsalve, M. Paz Sesmero, José María Armingol, Javier Fernández Andrés, José Eugenio Naranjo, Araceli Sanchis, Nourdine Aliane. Tipo de participación: Ponencia Congreso: XXI Congreso Español sobre Sistemas Inteligentes de Transporte. Lugar de celebración: Madrid, España Fecha:13-15 Julio 2021.
Sistema de detección de fatiga basado en deep learning y lógica difusa, Magan, Elena and Sesmero, M.P. and Sanchis, A. XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2021), 875—880, isbn 978-84-09-30514-8. https://caepia20-21.uma.es/inicio_files/caepia20-21-actas.pdf.
Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era. Jaime Delgado, Arriel Benis, Paula de Toledo, Parisis Gallos, Mauro Giacomini, Alicia Martinez-García, Dario Salvi. Proceedings of the 2021 EFMI Special Topic Conference, EFMI-STC 2021, Virtual Event / Seville, Spain, 22 – 24 November 2021. Studies in Health Technology and Informatics 287, IOS Press 2021, ISBN 978-1-64368-236-5.

A multimodal conversational coach for active ageing based on sentient computing and m-health”. David Griol, José Manuel Molina, Araceli Sanchis. Expert Systems. 37(2) (2020), https://doi.org/10.1111/exsy.12454.
A data-driven approach to spoken dialog segmentation, David Griol, José Manuel Molina, Araceli Sanchis, Zoraida Callejas, Neurocomputing, 391: 292-304 (2020), https://doi.org/10.1016/j.neucom.2019.02.072.
CCE: An ensemble architecture based on coupled ANN for solving multiclass problems Maria Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Araceli Sanchis. Information Fusion, 58: 132-152 (2020).
Integration Model of Multi-Agent Architectures for Data Fusion-Based Active Driving System. Sipele, Oscar and Ledezma, Agapito and Sanchis, Araceli, en “Human Factors in Intelligent Vehicles” Editors Olaverri-Monreal, Cristina and García-Fernández, Fernando and Rossetti, Rosaldo J.F., ISBN 9788770222037, River Publishers, 2020.
A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners, Jose Antonio Iglesias MartÍnez, María Paz Sesmero Lorente, Elena Magan Lopez, Agapito Ledezma Espino and Araceli Sanchis De Miguel, IEEE EAIS 2020 (IEEE Conference on Evolving and Adaptive Intelligent Systems 2020).
Detection of driver maneuvers using evolving fuzzy cloud-based system. Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc. 2020 IEEE Symposium Series on Computational Intelligence, SCCI. (Canberra, Australia 1-4 Diciembre, 2020). Pages: 700-706. pp. 700–706. DOI: 10.1109/SSCI47803.2020.9308520
Fuzzy Alarm System Based on Human-Centered Approach, Elena Magán, Agapito Ledezma, Paz Sesmero and Araceli Sanchis, 6th International Conference on Vehicle Technology and Intelligent Transport System, VEHITS 2020 Praga, 2-4 mayo 2020.

Developing enhanced conversational agents for social virtual worlds. David Griol, Araceli Sanchis, José Manuel Molina, Zoraida Callejas, Neurocomputing 354: 27-40 (2019). https://doi.org/10.1016/j.neucom.2018.09.099.
Evolving Fuzzy and Neuro-Fuzzy Approaches in Clustering, Regression, Identication, and Classication: A Survey. Igor Skrjanc; Jose Iglesias; Araceli Sanchis; Daniel Leite; Edwin Lughofer; Fernando Gomide. Information Sciences. Volume 490, July (2019), Pages 344-368.
Incremental clustering based on decomposed Cauchy-like density for imbalanced data classification from data stream. Igor Skrjanc, Saso Blazic, Goran Andonovski, Jose Iglesias, Araceli Sanchis and Daniel Leite. In FUZZ-IEEE 2019.
Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning. Paula de Toledo, Rodrigo Pérez-Rodríguez, Araceli Sanchis, Pablo de Miguel, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 1721-1724.
A Proposal for the Development of Lifelong Dialog Systems. David Griol, Araceli Sanchis, José Manuel Molina, The 14th International Conference on Soft Computing Models in Industrial and Environmental Applications, Seville, Spain. SOCO’19. 13th-15th May 2019 Pags: 78-88
An industrial application of soft computing for the design of personalized call centers. David Griol, Jose Manuel Molina and Araceli Sanchis, Expert Systems, ISSN: 1468-0394. DOI: 10.1007/978-3-030-20055-8_44
Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets. Paula de Toledo, Carolin Joppien, María Paz Sesmero, Paul Drews. EMBC 2019: 354-357

Fault detection and identification methodology under an incremental learning framework applied to industrial machinery. J. A. Carino and M. Delgado-Prieto and J. A. Iglesias and A. Sanchis and D. Zurita and M. Millan and J. A. O. Redondo and R. Romero-Troncoso, IEEE Access, (2018), 10.1109/ACCESS.2018.2868430.
Evolving cloud-based system for the recognition of drivers’ actions. Goran Andonovski, Igor Skrjanc, Agapito Ledezma, Oscar Sipele, Jose Antonio Iglesias, Araceli Sanchis. Expert Systems with Applications, 99: 231-238 (2018), https://doi.org/10.1016/j.eswa.2017.11.008.
Measuring Diversity and Accuracy in ANN Ensembles. P. Sesmero, J. M. Alonso-Weber, A. Giuliani, G. Armano, A. Sanchis. IV Jornadas de Fusión de la Información y Ensemble Learning. CAEPIA 2018,
Using Opponent Modeling in Soccer Simulation. Jose Antonio Iglesias, Agapito Ledezma and Araceli Sanchis. 19th International Workshop of Physical Agents (WAF) WAF2018.
Advanced driver’s alarms system through multi-agent paradigm. Oscar Sipele, Victor Zamora, Agapito Ledezma and Araceli Sanchis. 2018 3rd International Conference on Intelligent Transportation Engineering (ICITE 2018). Singapore September 3-5, 2018.
Intelligent agents for supporting driving tasks: An ontology-based alarms system. Victor Zamora, Oscar Sipele, Agapito Ledezma, and Araceli Sanchis. In 3rd nternational Conference on Vehicle Technology and Intelligent Transport Systems, 2017. Best poster award.

Real-time Recognition of Calling Pattern and Behaviour of Mobile Phone Users through Anomaly Detection and Dynamically Evolving Clustering, Jose Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Plamen Angelov, Applied Sciences, Special Issue Human Activity Recognition, 7(8), 798 (2017). Doi: 10.3390/app7080798.
Integration of context-aware conversational interfaces to develop practical applications for mobile devices. David Griol, José Manuel Molina & Araceli Sanchis. Journal of Ambient Intelligence and Smart Environments (JAISE). Thematic Issue on Human-centred AmI: Cognitive Approaches, Reasoning and Learning (HCogRL). 9(5): 561-577 (2017).
Cybernetics of the Mind: Learning Individual’s Perceptions Autonomously. Angelov, Plamen; Gu, Xiaowei; Iglesias, Jose Antonio; Ledezma, Agapito; Sanchis, Araceli; Sipele, Oscar & Ramezani, Ramin; SMC Magazine, 3(2), 6-17, (2017). Doi 1109/MSMC.2017.2664478.
Time Series Forecasting applying Data Transformation and Neural Networks Ensembles. G. Gutierrez, M. P. Sesmero & Sanchis. International work-conference on Time Series, ITISE-2017.
A Data-Driven Approach to Dialog Structure Modeling. Griol, A. Sanchis & J. M. Molina. In 11th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO’17. Leon, Spain. 6—8 Septiembre 2017.
A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces. D. Griol, Sanchis & J. M. Molina. In 12th International Conference on Hybrid Artificial Intelligent Systems -, HAIS 2017, Lecture Notes in Computer Science 10334, Springer, pp. 565-576, La Rioja, Spain, 21-23 Junio, 2017. DOI: 10.1007/978-3-319-59650-1_48.
FRB-Dialog: A Toolkit for Automatic Learning of Dialog Managers. D. Griol, Sanchis, & J. M. Molina. In 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, Lecture Notes in Computer Science 10334, Springer, La Rioja, Spain, 21-23 Junio, 2017. DOI: 10.1007/978-3-319-59650-1_26.
Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model. G. Gutierrez, M. P. Sesmero & Sanchis. In International Work-Conference on Artificial Neural Networks, IWANN 2017, Lecture Notes in Computer Science, 10206, Springer, pp. 210-21, Cádiz, Spain. 14-16 Junio 2017. DOI: 10.1007/978-3-319-59147-6_19.
Monitoring of Vulcano Puracé through Seismic Signals: Description of a Real Dataset. E. Gómez, D. C. Corrales, J. C. Corrales, A. Sanchis, A. Ledezma & J. A. Iglesias. In IEEE Evolving and Adaptive Intelligent Systems, EAIS 2017, Ljubljana, Slovenia, 31 Mayo – 2 Junio, 2017. DOI: 10.1109/EAIS.2017.7954838.
Evolving Cauchy Possibilistic Clustering based on Cosine Similarity for Monitoring Cyber Systems. Skrjanc, A. Sanchis, J. A. Iglesias‎, A. Ledezma & D. Dovzan. In IEEE Evolving and Adaptive Intelligent Systems, EAIS 2017, Ljubljana, Slovenia, 31 Mayo – 2 Junio, 2017. DOI: 10.1109/EAIS.2017.7954825.

A Two-stage Combining Classifier Model for the Development of Adaptive Dialog Systems. David Griol, Jose Antonio Iglesias, Agapito Ledezma & Araceli Sanchis, International Journal of Neural Systems, 26 (1), (2016). DOI: 10.1142/S0129065716500027.
Web News Mining in an Evolving Framework. J. Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma & Araceli Sanchis. Information Fusion, 28: 90-98 (2016). Doi: 10.1016/j.inffus.2015.07.004.
Autonomous Data Density based Clustering Method. Angelov, X. Gu, G. Gutierrez, J.A. Iglesias & A. Sanchis. In IEEE International Joint Conference on Neural Networks, IJCNN, 2016, pp. 2405-2413, Vancouver, Canada, 24—29 Julio, 2016. DOI: 10.1109/IJCNN.2016.7727498.
Testing ADAS though Simulated Driving Situations Analysis: Environment Configuration. O. Sipele, V. Zamora, A. Ledezma, & Sanchis. In Proceedings of the First Symposium SEGVAUTO-TRIES-CM. Technologies for a Safe, Accessible and Sustainable Mobility, pp. 23-26, Madrid, Spain, 17-18 Noviembre, 2016.
Integrating Real Driving Routes in a Simulated Environment. Zamora, O. Sipele, A. Ledezma, & A. Sanchis. In Proceedings of the First Symposium SEGVAUTO-TRIES-CM. Technologies for a Safe, Accessible and Sustainable Mobility, pp. 27-30, Madrid, Spain, 17-18 Noviembre, 2016.
Parallel Computing TEDA for High Frequency Streaming Data Clustering. Gu, P. Angelov, G. Gutierrez, J. A. Iglesias & A. Sanchis. In 2nd INNS Conference on Big Data, Advances in Intelligent Systems and Comuting, 529, Springer, pp. 238-253, Thessaloniki, Greece, 23-25 Octubre 2016. DOI: 10.1007/978-3-319-47898-2_25.
Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series. Gutierrez, G., Sesmero, M. P., & Sanchis, A., In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 4769–4774), (2016). doi: 10.1109/SMC.2016.7844984
Social Network Analysis: Evolving Twitter Mining. A. Iglesias, A. Ledezma & A. Sanchis. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, pp. 1809–1814, Budapest, Hungary, 9-12 Octubre, 2016. DOI: 10.1109/SMC.2016.7844500.
Sequential Classifiers for Network Intrusion Detection based on Data Selection Process. C. Corrales, J.C Corrales, A. Sanchis & A. Ledezma. In IEEE International Conference on Systems, Man, and Cybernetics SMC 2016, pp. 1827-1832, Budapest, Hungary, 9-12 Octubre, 2016. DOI: 10.1109/SMC.2016.7844503.

Generating ensembles of heterogeneous classifiers using Stacked Generalization. Paz Sesmero Lorente, Agapito Ledezma & Araceli Sanchis, Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 5(1),21-34 (2015). DOI: 10.1002/widm.1143.
Sensor-based Bayesian detection of anomalous living patterns in a home setting. FJ Ordóñez, P de Toledo & Sanchis, Personal and Ubiquitous Computing, 19 (2), 259–270, (2015). DOI: 10.1007/s00779-014-0820-1.
An Ensemble Approach of Dual Base Learners for Multi-Class Classification Problems. M. Paz Sesmero, Juan M. Alonso-Weber, German Gutierrez, Agapito Ledezma & Araceli Sanchis. Information Fusion. 24(C), 122—136, (2015). Doi: 10.1016/j.inffus.2014.09.002.
Evolving Classifier TEDAClass for Big Data. Kangin, D.; Angelov, P.; Iglesias, J. A. & Sanchis, A., Procedia Computer Science, 53, 9-18, (2015).
Evolving Classifier TEDAClass for Big Data. Kangin, D.; Angelov, P. P.; Iglesias, J. A.; & Sanchis, A. In INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015, pages 9–18, 2015.
Input Transformation and Output Combination for Improved Handwritten Digit Recognition Artificial Neural Networks. Juan M. Alonso-Weber, M. Paz Sesmero, German Gutierrez, Agapito Ledezma & Araceli Sanchis. Artificial Neural Networks, Methods and Applications in Bio-/Neuroinformatics, Springer Series in Bio-/Neuroinformatics, Volume 4, 435—443, (2015). Editores: P. Koprinkova-Hristova, V. Mladenov, N.K. Kasabov. ISBN: 978-3-319-09902-6 (Print) 978-3-319-09903-3 (Online).
Combining Several User Models to Improve and Adapt the Dialog Management Process in Spoken Dialog Systems. D. Griol, J. M. Molina, Sanchis & Z. Callejas. In Proc. of Future and Emerging Trends in Language Technology, FETLT 2015. Lecture Notes in Computer Science 9577, Springer, pp. 65-76, Sevilla, Spain, 19-20 Noviembre, 2015. DOI: 10.1007/978-3-319-33500-1_6.
An Approach to Sentiment Analysis for Mobile Speech Applications. D. Griol, J. M. Molina, Sanchis & Z. Callejas. In Proc. of Future and Emerging Trends in Language Technology, FETLT 2015. Lecture Notes in Computer Science 9577, Springer, pp. 65-76, Sevilla, Spain 19-20 Noviembre, 2015. DOI: 10.1007/978-3-319-33500-1_9.
An Ensemble-Based Classification Approach to Model Human-Machine Dialogs. D. Griol & Sanchis. In 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015. Lecture Notes in Computer Science. 9422, Springer, pp. 224—233, Albacete, Spain 9-12 Noviembre, 2015. DOI: 10.1007/978-3-319-24598-0_20.

Combining Additive Input Noise Annealing and Pattern Transformations for Improved Handwritten Character Recognition. J.M. Alonso-Weber, M. P. Sesmero & Sanchis, Expert Systems With Applications, 41(18), 8180–8188, (2014). Doi: 10.1016/j.eswa.2014.07.016.
Predicting Protein Relationships to Human Pathways through a Relational Learning Approach based on Simple Sequence Features. Beatriz García-Jiménez, Tirso Pons, Araceli Sanchis & Alfonso Valencia. IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(4), 753-765, (2014). Doi: 10.1109/TCBB.2014.2318730.
Bayesian Inference for Hidden Markov Models in Activity Recognition. Ordonez, Francisco; Englebienne, Gwenn; de Toledo, Paula; van Kasteren, Tim; Sanchis, Araceli & Krose, Ben. IEEE Pervasive Computing, 13(3), 67 – 75, (2014), Doi: 10.1109/MPRV.2014.52.
Developing multimodal conversational agents for an enhanced e-learning experience. David Griol, José Manuel Molina, Araceli Sanchis de Miguel. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 3(1). 13-26, 2014
Evolving Classification of UNIX Users’ Behaviors. A. Iglesias, A. Ledezma & A. Sanchis. Evolving Systems Journal, 5(4), 231–238, (2014). DOI: 10.1007/s12530-014-9104-2
Using Virtual Worlds to Create Enhanced Learning Environments. David Griol, Araceli Sanchis de Miguel. Comunicación actual: redes sociales y lo 2.0 y 3.0. pp. 311 – 322. McGraw Hill Education. 2014.
An Ensemble Method Based on Evolving Classifiers: eStacking. J: A. Iglesias, A. Ledezma & Sanchis. In IEEE Symposium on Evolving and Autonomous Learning Systems, EALS 2014, pp. 124-131, Orlando, Florida, U.S.A, 9-12 Diciembre, 2014. DOI: 10.1109/EALS.2014.7009513.
Influence of the Data Codification when Applying Evolving Classifiers to Develop Spoken Dialog Systems. J. A. Iglesias, D. Griol, A. Ledezma & Sanchis. In IEEE Symposium on Evolving and Autonomous Learning Systems, EALS 2014, pp. 58-64, Orlando, Florida, U.S.A., 9-12 Diciembre, 2014. DOI: 10.1109/EALS.2014.7009504.
Hacia una Cultura más Accesible Mediante los Sistemas de Diálogo y los Dispositivos Móviles. D. Griol, J. M. Molina & Sanchis. In VII Congreso de Accesibilidad a los Medios Audiovisuales para Personas con Discapacidad, AMADIS 2014. Madrid, Spain, 13-14 Noviembre, 2014.
Desarrollo de Entornos de Aprendizaje Avanzados mediante los Mundos Virtuales Inmersivos. D. Griol & Sanchis. In Proc. Congreso Universitario Internacional sobre la Comunicación en la Profesión y en la Universidad de Hoy: Contenidos, Investigación, Innovación y Docencia, CUICIID 2014. Madrid, Spain, 22-23 Octubre, 2014
A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. D. Griol, J.A. Iglesias, A. Ledezma & Sanchis. In IFIP International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, IFIP Advances in Information and Communication Technology. 436, Springer, pp. 307-316, Rhodes, Greece, 19–21 Septiembre, 2014. DOI: 10.1007/978-3-662-44654-6_30.
News Mining Using Evolving Fuzzy Systems. A. Iglesias, A. Tiemblo, A. Ledezma & A. Sanchis. In Intelligent Data Engineering and Automated Learning, IDEAL 2014, Lecture Notes in Computer Science, 8669, Springer, pp. 327–335, Salamanca, Spain, 10-12 Septiembre, 2014. DOI: 10.1007/978-3-319-10840-7_40.
Giving Voice to the Internet by Means of Conversational Agents. Griol, A. Sanchis & J. M. Molina. In Intelligent Data Engineering and Automated Learning, IDEAL 2014, Lecture Notes in Computer Science, 8669, Springer, pp. 441-448. Salamanca, Spain, 10-12 Septiembre, 2014. DOI: 10.1007/978-3-319-10840-7_53.
Developing Intelligent Learning Environments by means of Immersive Virtual Worlds. D. Griol & Sanchis. In Proc. International Congress on Education, Innovation and Learning Technologies, ICEILT 2014, pp. 242, Barcelona, Spain, 23-25 Julio, 2014
Multimodal Dialog Systems to Facilitate and Adapted and Inclusive Education. D. Griol & Sanchis. In Proc. International Congress on Education, Innovation and Learning Technologies, ICEILT 2014, pp. 243, Barcelona, Spain, 23-25 Julio, 2014.
Simul-A2: Agent-based Simulator for Evaluate ADA Systems. Vernaza, A. Ledezma & A. Sanchis. In IEEE 17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, 7-10 Julio 2014.
Agent-based Framework for Advanced Driver Assistance Systems in Urban Environments. Gutierrez, J. A. Iglesias, F. J. Ordonez, A. Ledezma & A. Sanchis. In IEEE 17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, 7-10 Julio 2014.
Domain and Subtask-Adaptive Conversational Agents to Provide an Enhanced Human-Agent Interaction. D. Griol, J. M. Molina & Sanchis. In 12th International Conference Advances in Practical Applications of Scalable Multiagent Systems, PAAMS 2014. Lecture Notes in Computer Science, 8473, Springer, pp. 134-145. Salamanca, Spain, 4-6 Junio, 2014. DOI: 10.1007/978-3-319-07551-8_12.
Developing Multimodal Conversational Agents: From the Use of VoiceXML to Android-Based Applications. D. Griol, J. M. Molina & Sanchis. In 12th International Conference Advances in Practical Applications of Scalable Multiagent Systems, PAAMS 2014. Lecture Notes in Computer Science, 8473, Springer, pp. 335-338. Salamanca, Spain, 4-6 Junio, 2014. DOI: 10.1007/978-3-319-07551-8_32.
The Geranium System: Multimodal Conversational Agents for E-learning. D. Griol, J. M. Molina & Sanchis. In 11^th International Conference Distributed Computing and Artificial Intelligence, DCAI 2014, Advances in Intelligent Systems and Computing, 290, Springer, pp. 219-226, Salamanca, Spain, 4-6 Junio, 2014. DOI: 10.1007/978-3-319-07593-8_26.
A Multimodal Conversational Agent for Personalized Language Learning. D. Griol, I. Baena, J. M. Molina & Sanchis. In 5^th International Symposium on Ambient Intelligence, ISAMI 2014, Advances in Intelligent Systems and Computing, 291, Springer, pp. 13-21, Salmanca, Spain 4-6 Junio, 2014. DOI: 10.1007/978-3-319-07596-9_2.
Time Series Forecasting Using Artificial Neural Networks vs. Evolving Models. J. A. Iglesias, G. Gutierrez, A. Ledezma, & Sanchis. In IEEE Conference on Evolving and Adaptive Intelligent Systems EAIS 2014, Linz, Austria, 2-4 Junio, 2014. DOI: 10.1109/EAIS.2014.6867483.
A Dialog Management Methodology based on Evolving Fuzzy-Rule-Based (FRB) Classifiers. D. Griol, J. A. Iglesias, A. Ledezma & Sanchis. In IEEE Conference on Evolving and Adaptive Intelligent Systems EAIS 2014, Linz, Austria, 2-4 Junio, 2014. DOI: 10.1109/EAIS.2014.6867479.
Utilización de las Tecnologías del Habla y de los Mundos Virtuales para el Desarrollo de Aplicaciones Educativas. David Griol, Araceli Sanchis, José Manuel Molina, Zoraida Callejas. Revista Sociedad Española para el Procesamiento del Lenguaje Natural. 53, 167-170, 2014.
Desarrollo de portales de voz municipales interactivos y adaptados al usuario. David Griol, María García-Jiménez, José Manuel Molina, Araceli Sanchis. Revista Sociedad Española para el Procesamiento del Lenguaje Natural. 53. 185-188, 2014.

Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments using Binary Sensors. Fco. Javier Ordóñez, Paula de Toledo & Araceli Sanchis. Sensors: Special issue: Selected papers from UCAmI & IWAAL 2012, 13(5): 5460–5477. (2013), Doi: 10.3390/s130505460.
A Proposal to Create Learning Environments in Virtual Worlds Integrating Advanced Educative Resources. David Griol, José Manuel Molina, Araceli Sanchis de Miguel & Zoraida Callejas, Journal of Universal Computer Science (J.UCS) Special Issue Immersive Virtual Worlds for academic, organizational, and life-long learning, 18, 2516-2541, (2013). DOI: 10.3217/jucs-018-18-2516.
Online Activity Recognition using Evolving Classifiers. J. Ordoñez, J.A. Iglesias, M.Toledo, A. I. Ledezma & A. Sanchis, Expert Systems With Applications. 40 (4), 1248-1255, (2013). http://dx.doi.org/10.1016/j.eswa.2012.08.066.
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. Peralta, P. Cortez, G. Gutiérrez & A. Sanchis. Neurocomputing, 109 (3), 27–32, (2013), Doi: http://dx.doi.org/10.1016/j.neucom.2012.02.053.
Time series forecasting. A comparative study between an evolving artificial neural networks system and statistical methods. J. Peralta, G. Gutiérrez & Sanchis. International Journal on Artificial Intelligence Tools, 21, 1250010, [26 pages], (2012). Doi: 10.1142/S0218213011000462.
Time series forecasting by evolving artificial neural networks using genetic algorithms, differential evolution and estimation of distribution algorithm. Juan Peralta Donate, Xiaodong Li, German Gutierrez Sanchez & Araceli Sanchis, Neural Computing and Applications, 22, 11-20, (2013). Doi: 10.1007/s00521-011-0741-0.
The Relevance of Systems Biology in Relational Learning to Annotate Human Protein with Reactome Pathways. B. García-Jiménez & Sanchis. In 21st International Conference on Intelligent Systems for Molecular Biology and 12th European Conference on Computational Biology, ISMB/ECCB 2013. Berlin, Germany. 19—23 Julio, 2013. Poster.
Hacia una educación inclusiva y personalizada mediante el uso de los sistemas de diálogo multimodal. David Griol, Ismael Baena, Víctor Corrales, José Manuel Molina, Araceli Sanchis de Miguel, Revista Iberoamericana de Informática Educativa, IE Comunicaciones 17, 11–27, (2013).
Analyzing the structure of ensembles based-on evolving classifiers. A. Iglesias, A. Ledezma & A. Sanchis. In XV Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2013.pp. 1479-1488, Madrid, Spain, 17-20 Septiembre, 2013.
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. M. Alonso-Weber, M. P. Sesmero, G. Gutiérrez, A. Ledezma & A. Sanchis. In International Conference on Artficial Neural Networks and Machine Learning, ICANN 2013, Lecture Notes in Computer Science, 8121, Springer, pp. 335–342, Sofia, Bulgaria, 10-13 Septiembre 2013. DOI: 10.1007/978-3-642-40728-4_42.
Evolving Systems for Computer User Behavior Classification. J.A. Iglesias, A. Ledezma & Sanchis. In IEEE Symposium on Evolving and Adaptive Intelligent Systems, EAIS 2013, pp. 78-83, Singapore, 16-19 Abril, 2013. DOI=10.1109/EAIS.2013.6604108.
Ensemble Method Based on Individual Evolving Classifiers. J.A. Iglesias, A. Ledezma, & Sanchis. In IEEE Symposium on Evolving and Adaptive Intelligent Systems, EAIS 2013, pp. 56-61, Singapore, 16-19 Abril, 2013. DOI: 10.1109/EAIS.2013.6604105.
Hacia una educación inclusiva y personalizada mediante el uso de los sistemas de diálogo multimodal. David Griol, Ismael Baena, Víctor Corrales, José Manuel Molina, Araceli Sanchis de Miguel. IE Comunicaciones – Revista Iberoamericana de Informática Educativa. 17, 11-27, 2013.

Creating evolving user behavior profiles automatically. A. Iglesias, P. Angelov, A. Ledezma & A. Sanchis. IEEE Transactions on Knowledge and Data Engineering. 24(5), 854-867, (2012). Doi: 10.1109/TKDE.2011.17.
A New Artificial Neural Network Ensemble based on Feature Selection and Class Recoding. P.Sesmero, J.M. Alonso-Weber, G. Gutiérrez, G., A. Ledezma & A. Sanchis. Neural Computing & Applications, 21, 771-783, (2012). Doi: 10.1007/s00521-010-0458-5.
Data Mining for User Modeling. A. Iglesias, A. Ledezma & A. Sanchis. International Journal of Organizational and Collective Intelligence (IJOCI), 3(1), 35–51, (2012). Doi: 10.4018/joci.2012010103
Towards the Use of Dialog Systems to facilitate inclusive education. David Griol, Zoraida Callejas, José Manuel Molina & Araceli Sanchis de Miguel. Technologies for Inclusive Education: Beyond Traditional Integration Approaches. David Griol, Zoraida Callejas, Ramón López-Cózar Eds. Editorial IGI Global. ISBN10: 1466625309, 1–21, (2012).
A Machine Consciousness Approach to the Design of Human-likeBots. Raul Arrabales, Jorge Munoz, Agapito Ledezma, German Gutierrez & Araceli Sanchis, Believable Bots Book, Springer, 171–191, (2012), ISBN 978-3-642-32322-5.
ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots. Raul Arrabales, Agapito Ledezma & Araceli Sanchis, Believable Bots Book, Springer, 193–214 (2012), ISBN 978-3-642-32322-5.
Towards Imitation of Human Driving Style in Car Racing Games. Jorge Muñoz, German Gutierrez & Araceli Sanchis, Believable Bots Book, Springer, 289–313, (2012), ISBN 978-3-642-32322-5.
Offline and Online Activity Recognition on Mobile Devices using Accelerometer Data. A. Duque, F. J. Ordoñez, P. de Toledo & Sanchis. In 4th International Workshop on Ambient Assisted Living, IWAAL 2012, Lecture Notes in Computer Science, 7657, Springer, pp. 208-215, Vitoria-Gasteiz, Spain, 3-5 Diciembre, 2012. DOI: 10.1007/978-3-642-35395-6_29.
A Hybrid HMM/ANN Model for Activity Recognition in the Home using Binary Sensors. F.J. Ordoñez, A. Duque, J. P. Toledo & Sanchis. In 4th International Workshop on Ambient Assisted Living, IWAAL 2012, Lecture Notes in Computer Science, 7657, Springer, pp. 98-105, Vitoria-Gasteiz, Spain, 3-5 Diciembre, 2012. DOI: 10.1007/978-3-642-35395-6_13.
Modeling a Spoken Dialog System using POMDPs and Agenda-based User Simulation. Griol, J.M. Molina, A. Sanchis, Z. Callejas. In VII Jornadas en Tecnología del Habla and III Iberian SLTech IberSPEECH 2012, pp. 183-192, Madrid, Spain, 21-23 Noviembre, 2012.
Interactive and User-Adapted Voice Portals for the City Council. Griol, M. García-Jiménez, J. M. Molina & A. Sanchis. In VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop, IberSPEECH 2012, pp. 395-399, Madrid, Spain, 21-23 Novimembre, 2012.
The MovieScript System: Integration of Statistical Methodologies and the VoiceXML standard to develop spoken dialog Systems. Griol, M. Fernández-Vallejo, J. M. Molina & A. Sanchis. In VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop, IberSPEECH 2012, pp. 400-404, Madrid, Spain, 21-23 Novimembre 2012.
Parallelization of an Evolving Artificial Neural Networks System to Forecast Time Series using OPENMP and MPI. B. Prior, J. Peralta, P. Cortez, G. Gutierrez & Sanchis. In IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012. pp. 186-191, Madrid, Spain, 17-18 Mayo, 2012. DOI: 10.1109/EAIS.2012.6232827.
Evolving Activity Recognition from Sensor Streams. J. Iglesias, F.J. Ordóñez, A. Ledezma, M.T. Toledo & Sanchis. In IEEEConference on Evolving and Adaptive Intelligent Systems, EAIS 2012. pp. 96-101, Madrid, Spain, 17-18 Mayo, 2012. DOI: 10.1109/EAIS.2012.6232812.
CC-Bot: A Believable Video Game Bot based on Machine Consciousnessns. R. Arrabales, A. Ledezma, & Sanchis. In 5th International Conference on Cognitive Systems CogSys 2012, Vienna, Austria, 22-23 Febrero 2012.
Relational Learning-based Extension for Reactome Pathways with Sequence Features and Interactions. B. García-Jiménez, T. Pons, Sanchis & A. Valencia. In XI Jornadas de Bioinformática, JBI 2012, Barcelona, Spain, 23-25 Enero, 2012.

A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition. J. M. Alonso-Weber & Sanchis, Neural processing letters, 34(1), 39-58, (2011). Doi: 10.1007/s11063-011-9182-0.
Simulating Visual Qualia in the CERA-CRANIUM Cognitive Architecture. Arrabales, R.; Ledezma, A. & Sanchis, A., From Brains to Systems. Advances in Experimental Medicine and Biology 718, 223-238, (2011). DOI: 10.1007/978-1-4614-0164-3_18.
Evolving Sparsely Connected Neural Networks for Multi-Step Ahead Forecasting. J. Peralta, P. Cortez, G. Gutierrez & Sanchis. In 13th annual conference companion on Genetic and Evolutionary Computation Conference, GECCO 2011, pp. 219—220, Dublin, Ireland, 12—16 Julio, 2011. Poster. DOI: 10.1145/2001858.2001982.
Evolving Time-Lagged Feedfordward Neural Networks for Time Series Forecasting. J. Peralta, P. Cortez, G. Gutierrez & Sanchis. In 13th annual conference companion on Genetic and Evolutionary Computation Conference, GECCO 2011, pp. 163—164, Dublin, Ireland, 12—16 Julio, 2011. Poster. DOI: 10.1145/2001858.2001950
Towards Gaze-Controlled Platform Games. J. Muñoz, G. N. Yannakakis, F. Mulvey, D. W. Hansen, G. Gutierrez & Sanchis. In IEEE Conference on Computational Intelligence and Games, CIG 2011, Coex, Seoul, South Korea, 31 Agosto-3 Septiembre, 2011. DOI: 10.1109/CIG.2011.6031988.
Model of Emotions and Personality in a Machine Consciousness Architecture. J. Muñoz, G. Gutierrez & Sanchis. In ReteCog.Net 2011. The Architectures of Mind, Madrid, Spain, 4-6 Julio, 2011.
Evolving Human Activity Classifier from Sensor Streams. A. Iglesias, P. Angelov, A. Ledezma & A. Sanchis. In IEEE Evolving and Adaptive Intelligent Systems, EAIS 2011, pp. 139-146, Paris, France, 11 -15 Abril, 2011. DOI: 10.1109/EAIS.2011.5945921.
Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series. J. Peralta, P. Cortez, G. Gutiérrez & Sanchis. In 6th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2011, Advances in Intelligent and soft Computing, 87, Springer, pp. 147-154, Salamanca, Spain, 6-8 Abril 2011 . DOI: 10.1007/978-3-642-19644-7_16.

Human Activity Recognition Based on Evolving Fuzzy Systems. Plamen Angelov, Agapito Ledezma & Araceli Sanchis. International Journal of Neural Systems. 20(5), 355-364, (2010). Doi: http://dx.doi.org/10.1142/S0129065710002462. Q1
A Plan Classifier Based on Chi-Square Distribution Tests. J.A. Iglesias, A. Ledezma, Sanchis & G.A. Kaminka. Intelligent Data Analysis Journal, 15(2), 131-149, (2010). Doi: http://dx.doi .org/10.3233/IDA-2010-0460.
ConsScale: A Pragmatic Scale for Measuring the Level of Consciousness in Artificial Agents. Raúl Arrabales, Agapito Ledezma, & Araceli Sanchis, Journal of Consciousness Studies, vol. 17(3-4), 131-164, (2010).
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. J. A. Iglesias, P. Angelov, A. Ledezma & Sanchis. In European Conference on Artificial Intelligence, ECAI 2010, pp. 1047–1048, Lisbon, Portugal, 16—20 Agosto, 2010. DOI: 10.3233/978-1-60750-606-5-1047.
User Modeling: Through Statistical Analysis and an Evolving Classifier. J. A. Iglesias, P. Angelov, A. Ledezma & Sanchis. In IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2010, Barcelona, Spain, 18—23 Julio, 2010. DOI: 10.1109/FUZZY.2010.5584905.
Time Series Forecasting by Evolving Artificial Neural Networks Using Genetic Algorithms and Differential Evolution. J. Peralta, X. Li, G. Gutierrez & Sanchis. In IEEE International Joint Conference on Neural Networks, IJCNN 2010, Bardelona, Spain, 18—23 Julio, 2010. DOI: 10.1109/IJCNN.2010.5596901.
Time Series Forecasting by Evolving Artificial Neural Networks Using Genetic Algorithms and Estimation of Distribution Algorithms. J. Peralta, G. Gutierrez & Sanchis. In IEEE International Joint Conference on Neural Networks, IJCNN 2010, Bardelona, Spain, 18—23 Julio, 2010. DOI: 10.1109/IJCNN.2010.5596892.
Evolving Classification of Agents’ Behaviors: A General Approach. J. A. Iglesias, P. Angelov, A. Ledezma & Sanchis, Evolving Systems Journal, 1, 161–171, (2010).
The Cognitive Development of Machine Consciousness Implementations. R. Arrabales, A. Ledezma & Sanchis, International Journal of Machine Consciousness, 2, 213–225, (2010).
Soft Computing Methods for Practical Environmental Solutions: Technique and Studies. Iglesias, J. A.; Ledezma, A. & Sanchis, A. (2010), Information Science Reference, IGI Global, Hershey, USA. ISBN: 978-1-61520-893-7 (hardcover), ISBN: 978-1-61520-894-4 (ebook). Chapter: ‘User Modeling in Soft Computing Framework’, 75—92, (2010).
Time Series Forecasting by Evolving Artificial Neural Networks Using “Shuffle”, Cross-Validation and Ensembles. J. Peralta, G. Gutierrez & Sanchis. In International Conference on Artificial Neural Networks, ICANN 2010, Lecture Notes in Computer Science, 6352, Springer, pp. 50-53, Thessaloniki, Greece, 15-18 Septiembre, 2010. DOI: https://doi.org/10.1007/978-3-642-15819-3_7.
Multi-objective evolution for car setup optimization. Muñoz, G. Gutierrez & A. Sanchis. In the 10th Annual Workshop on Computational Intelligence, UKCI 2010, Essex, England, 8-10 Septiembre 2010. DOI: 10.1109/UKCI.2010.5625607.
Automatic Design of Artificial Neural Networks to Forecast Time Series. Peralta, G. Gutierrez & A. Sanchis. In V Simposio de Teoría y Aplicaciones de Minería de Datos, TAMIDA 2010. in the framework of the III Congreso Español de Informatica. CEDI 2010, pp. 355, Valenca, Spain, 7-10 Septiembre, 2010.
The RoboCup Agent Behavior Modeling Challenge. A. Iglesias, A. Ledezma & A. Sanchis. In XI Workshop en Agentes Físicos, WAF 2010 in the framework of the Congreso Español De Informática, CEDI 2010. Valencia, Spain, 7 – 10 Septiembre, 2010.
VIENA: VIsual ENvironment for Analyzing RoboCup Soccer Teams. A. Iglesias. M. A. Palacin, A. Ledezma & A. Sanchis. In X Simposio de Inteligencia Computacional, SICO 2010, in the framework of the Congreso Español De Informática, CEDI 2010. pp. 115-122, Valencia, Spain, 7-10 Septiembre, 2010
A Human-like TORCS Controller for the Simulated Car Racing Championship. J. Muñoz, G. Gutierrez & Sanchis. In IEEE Symposium Computational Intelligence and Games, CIG 2010, pp. 473-480, Copenhagen, Denmark, 18-21 Agosto, 2010. DOI: 10.1109/ITW.2010.5593318.
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. B. Garcia, A. Ledezma & Sanchis. In 20th International Conference on Inductive Logic Programming, ILP 2010, pp. 67-75, Florence, Italy, 27-30 Junio, 2010. DOI: 10.1007/978-3-642-21295-6_11.
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. B. García-Jimenez, A. Ledezma& A. Sanchis. In 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, IEA-AIE 10, Lecture Notes in computer Science, 6098, Springer, pp. 82-91, Cordoba, Spain, 1-4 Junio, 2010. DOI: https://doi.org/10.1007/978-3-642-13033-5.
On the Practical Nature of Artificial Qualia. Arrabales, A. Ledezma & A. Sanchis. In Symposium on AI-Inspired Biology, in the framework of the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2010, Leicester, UK, 29 Marzo-1Abril, 2010.
An Evolving Framework for Clustering Computer Users. A. Iglesias, A. Ledezma & A. Sanchis. In International Symposium on Evolving Intelligent Systems, EIS’10, Leicester, UK, 29 Marzo-1 Abril, 2010.
ConsScale: A Cognitive Scale Inspired on Consciousness. Arrabales, A. Ledezma & A. Sanchis. In 4th International Conference on Cognitive Systems CogSys 2010. Zürich, Switzerland. 27-28 Enero 2010.

Predicting the outcome of patients with Subarachnoid Hemorrhage using machine learning techniques. De Toledo P, Rios PM, Ledezma A, Sanchis A, Alen JF & Lagares A., IEEE Transactions on Information Technology in Biomedicine, 13 (5), 794-801, (2009). Doi: 10.1109/TITB.2009.2020434.
GA-Stacking: Evolutionary Stacked Generalization. Agapito Ismael Ledezma, Ricardo Aler, Araceli Sanchis & Daniel Borrajo. Intelligent Data Analysis, 14(1), 89-119, (2009). Doi: http://dx.doi.org/10.3233/IDA-2010-0410.
Ombo: An opponent modeling approach. Agapito Ledezma, Ricardo Aler, Araceli Sanchis & Daniel Borrajo, AI Communications, 22, 21-35, (2009). Doi: http://dx.doi.org/10.3233/AIC-2009-0442.
Caos Coach 2006 Simulation Team: An Opponent Modelling Approach. J. A. Iglesias, Agapito Ledezma & Araceli Sanchis, Computing and Informatics. 28(1), 57-80, (2009). Doi: 10.1007/11681960_13.
Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II. Muñoz, J., Gutierrez, G., & Sanchis, A. (2009). Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II. In 2009 IEEE Congress on Evolutionary Computation (pp. 2985–2991). doi: 10.1109/CEC.2009.4983319.
Shuffle design to improve time series forecasting accuracy. Peralta, J., Gutierrez, G., & Sanchis, A. (2009). In 2009 IEEE Congress on Evolutionary Computation (pp. 741–748). doi: 10.1109/CEC.2009.4983019.
A Cognitive Approach to Multimodal Attention. R. Arrabales, A. Ledezma & Sanchis, Journal Of Physical Agents,3(1), 53–64, (2009).
Strategies For Measuring Machine Consciousness. R. Arrabales, A. Ledezma, Sanchis, International Journal of Machine Consciousness,1(2), 193–201, (2009).
Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. R. Arrabales, A. Ledezma & Sanchis. In Biologically Inspired Cognitive Architectures, BICA-2009, pp. 16-21. Washington, D.C. USA, 5-7 Noviembre, 2009.
Towards Conscious-like Behavior in Computer Game Characters. R. Arrabales, A. Ledezma & Sanchis. In IEEE Symposium on Computational Intelligence and Games, CIG 2009, pp. 217-224, Milano, Italy, 7-10 Septiembre, 2009. DOI: 10.1109/CIG.2009.5286473.
The Winning Advantage: Using Opponent Models in Robot Soccer. A. Iglesias, J. A. Fernández, I. R. Villena, A. Ledezma & A. Sanchis. In 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009 Lectures Notes in Computer Science, 5788, Springer, pp. 485—493, Burgos, Spain, 23-26 Septiembre, 2009. DOI: https://doi.org/10.1007/978-3-642-04394-9_59.
Controller for TORCS Created by Imitation. Muñoz, G. Gutierrez & A. Sanchis. In IEEE Symposium on Computational Intelligence and Games. (CIG 2009, pp. 271-278, Milano, Italy, 7-10 Septiembre 2009. DOI: 10.1109/CIG.2009.5286464.
Modular Multi-Relational Framework for Gene Group Function Prediction. B. García-Jiménez, A. Ledezma & Sanchis. In 19th International Conference on Inductive Logic Programming. ILP 2009. Leuven, Belgium, 2-4 Julio, 2009.
Creating User Profiles from a Command-Line Interface: An Statistical Approach. J.A. Iglesias, A. Ledezma & Sanchis. In International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009, Lecture Notes in Computer Science, 5535, Springer, pp. 90-101, Trento, Italy, 22-26 Junio 2009. DOI: https://doi.org/10.1007/978-3-642-02247-0_11.
Evolutionary Genetic Algorithms in a Constraint Satisfaction Problem: Puzzle Eternity II. J. Muñoz, G. Gutierrez & Sanchis. In 10th International Work-Conference on Artificial Neural Networks IWANN 2009, Lecture Notes in Computer Science, 5517, Springer pp. 720-727, Salamanca, Spain, 10-12 Junio, 2009. DOI: https://doi.org/10.1007/978-3-642-02478-8_90.
Designing Human-like Video Game Synthetic Characters through Machine Consciousness. R. Arrabales, A. Ledezma & Sanchis. Toward a Science of Consciousness. Hong Kong, 11-14 Junio, 2009.
CERA-CRANIUM: A Test Bed for Machine Consciousness Research. Arrabales, A. Ledezma, & A. Sanchis. In International Workshop on Machine Consciousness. Hong Kong. 11-14 June 2009.
Establishing a Roadmap and Metrics for Conscious Machines Development. R. Arrabales, A. Ledezma & Sanchis. In 8th IEEE International Conference on Cognitive Informatics, ICCI 2009, pp. 94–101, Hong Kong, China, 15-17 Junio, 2009. DOI: 10.1109/COGINF.2009.5250795
Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II. J. Muñoz, G. Gutierrez & Sanchis. In IEEE Congress on Evolutionary Computation, CEC 2009, pp. 2985-2991, Trondheim, Norway, 18-21 Mayo, 2009. DOI: 10.1109/CEC.2009.4983319.
Shuffle Design to Improve Time Series Forecasting Accuracy. J. Peralta, G. Gutierrez & Sanchis, In IEEE Congress on Evolutionary Computation (IEEE CEC 2009), Trondheim, Norway, 18-21 Mayo, 2009. DOI: 10.1109/CEC.2009.4983019.
Modelling Evolving User Behaviours. J. A. Iglesias, P. Angelov, A. Ledezma & Sanchis. In IEEE Worksohop on Evolving and Self-Developing Intelligent Systems, 2009. ESDIS ’09, Nashville, TN, USA. 30 Marzo- 2 Abril, 2009. DOI: 10.1109/ESDIS.2009.4938994. Best Student paper award.

Applying Machine Consciousness Models in Autonomous Situated Agents. Raul Arrabales & Araceli Sanchis, Pattern Recognition Letters, special issue in Interdisciplinary Perception and Intelligence, 29(8), 1033-1038, (2008). Doi: http://dx.doi.org/10.1016/j.patrec.2007.09.002.
An Efficient Behavior Classifier based on Distributions of Relevant Events. J. A. Iglesias, A. Ledezma, Sanchis & G. Kaminka. In 18th European Conference on Artificial Intelligence, – ECAI 08, Frontiers in Artificial Intelligence and Applications 178, IOS Press, pp. 825—826, Patras, Greece, 21—25 Julio, 2008. Poster. DOI: 10.3233/978-1-58603-891-5-825.
ADANN: Automatic Design of Artificial Neural Networks. Peralta, J., Gutierrez, G., & Sanchis, A. (2008). In Proceedings of the 10th Annual Conference Companion on Genetic and Evolutionary Computation, GECCO (pp. 1863–1870). Atlanta, GA, USA: ACM. doi: 10.1145/1388969.138899.
Protein-Protein Functional Association Prediction Using Genetic Programming. B. García, R. Aler, A. Ledezma, & Sanchis. In International Conference on Genetic and Evolutionary Computation, GECCO 2008, ACM, pp. 347–348, Atlanta, Georgia, USA, 12—16 Julio, 2008. Poster. DOI: 10.1145/1389095.1389156.
Integrated Attention For Cognitive Robotics. R. Arrabales, A. Ledezma & Sanchis, Communications Of The SIWN, 5, 1–5, (2008).
Using Well-Known Techniques For Classifying User Behavior Profiles. J. A. Iglesias, A. Ledezma & Sanchis, Communications Of The SIWN, 5, 18–22, (2008).
Genetic Programming for Predicting Protein Networks. B. Garcia, R. Aler, A. Ledezma & Sanchis. In 11th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2008, Lecture Notes in Computer Science, 5290, Springer, pp. 432-441 Lisbon, Portugal, 14-17 Octubre, 2008. DOI; https://doi.org/10.1007/978-3-540-88309-8_44.
A Multimodal Attention Mechanism for Autonomous Mobile Robotics. R. Arrabales, A. Ledezma, & Sanchis. In IX Workshop on Physical Agents, WAF 2008, pp.121-128, Vigo, Spain, 11-12 Septiembre 2008.
ConsScale: A Plausible Test for Machine Consciouness?. Arrabales, A. Ledezma, & A. Sanchis. In Proceedings of the Nokia Workshop on Machine Consciousness, Finnish Artificial Intelligence Conference, STeP 2008, pp. 49-57, Helsinki. Finland, 21-22 Agosto, 2008.
Classifying Efficiently the Behavior of a Soccer Team. J. A. Iglesias, A. Ledezma, Sanchis & G. Kaminka. In 10th International Conference on Intelligent Autonomous Systems, IAS 2008, IOS Press, pp. 316-323, Baden-Baden, Germany, 23 – 25 Julio 2008. DOI: 10.3233/978-1-58603-887-8-316.
Integrated Attention for Cognitive Robotics. Arrabales, A. Ledezma, & A. Sanchis. In Communications of the Systemics and Informatics World Network, SIWN 2008, Glasgow, UK, 22-24 Julio 2008.
ADANN: Automatic Design of ArtificIal Neural Networks. J. Peralta, G. Gutierrez & Sanchis. In Workshop Advanced Research Challenges in Financial Evolutionary Computing, ARC-FEC, GECCO 2008, pp. 1863-1870, Atlanta, Georgia, USA, 12-16 Julio, 2008.
Genetic Approach for Optimizing Ensembles of Classifiers. J. Ordoñez, A. Ledezma & A. Sanchis. In 21^st International Florida Artificial Intelligence Research Society Conference, FLAIRS, 2008, pp. 89-94 Coconut Grove, Florida, USA, 15-17 Mayo 2008.
Criteria for Consciousness in Artificial Intelligent Agents. Arrabales, A. Ledezma. & A. Sanchis. In Workshop on Adaptive Learning and Multi-Agent Systems, ALAMAS-ALAg 2008, pp. 57—64, Estoril, Portugal, 12 Mayo 2008.

Sequence Classification Using Statistical Pattern Recognition. A. Iglesias, A. Ledezma & A. Sanchis. In 7th International Symposium on Intelligent Data Analysis, IDA 2007, Advances in Intelligent Data Analysys VII. Lecture Notes in Computer Science 4723, Springer, pp. 207—218, Ljubljana, Slovenia, 6—8 Septiempre, 2007. DOI: 10.1007/978-3-540-74825-0_19.
Ensemble of Specialized Artificial Neural Networks for Traffic Sign Recognition. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez Sánchez, Agapito Ledezma Espino & Araceli Sanchis de Miguel, Encyclopedia of Artificial Intelligence, 554—560, (2007), Rabuñal, J.R., Dorado, J y Pazos Sierra A., Eds.
Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series. J. Peralta, G. Gutierrez & Sanchis. In 2nd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2007, Advances in Soft Computing, vol 44, pp. 231-238, Salamanca, Spain, 12-13 Noviembre. DOI: https://doi.org/10.1007/978-3-540-74972-1_31
Specialized Ensemble of Classifiers for Traffic Sign Recognition. M. P. Sesmero, J. M. Alonso, G. Gutiérrez, A. Ledezma & Sanchis. In 9th International Work-Conference on Artificial Neural Networks, IWANN’2007, Lecture Notes in Computer Science, 4507, Springer, pp. 733–740, San Sebastian, Spain, 20-22 Junio2007. DOI: https://doi.org/10.1007/978-3-540-73007-1_88.
Modeling Consciousness for Autonomous Robot Exploration. Arrabales, A. Ledezma, & A. Sanchis. In Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, Lecture Notes in Computer Science, 4527, Springer, pp. 51—60, Murcia, Spain, 18-21 Junio 2007. DOI: https://doi.org/10.1007/978-3-540-73053-8_5
Testing Feature Selection in Traffic Signs. P. Sesmero, J.M. Alonso, G. Gutiérrez, A. Ledezma & A. Sanchis. In 11th International Conference on Computer Aided Systems Theory, EUROCAST 2007. pp. 396-398, Las Palmas de Gran Canaria, Spain, 12-16 Febrero 2007.

Generalization capacity of LCS in Classification Data Mining Problems on Agent Environments. D. Sánchez, J. M. Molina & Sanchis. In 5th International Workshop on Practical Applications of Agents and Multi-Agent Systems, pp. 39-49, Segovia, España. 19-20 Octubre, 2006.
A Machine Consciousness Approach to Autonomous Mobile Robotics. R. Arrabales & Sanchis. In Fifth International Workshop on Cognitive Robotics, Cogrob-2006, AAAI-06, Boston, Massachusetts, 16-17 Julio, 2006.
La Aplicación de Modelos de Consciencia Artificial en los Sistemas Multiagente. R. Arrabales & Sanchis. 50 años de la Inteligencia Artificial Albacete, Spain, 10-14 Julio 2006.
Off-Line Cursive Handwritten Text Outline Drawing With Self-Organizing Maps. J. M. Alonso-Weber & Sanchis. In. International Conference Engineering and Mathematics, ENMA 2006, Bilbao, Spain, 10-12 Julio, 2006.
Caos Online Coach 2006 Team Description. A. Iglesias, Agapito Ledezma & A. Sanchis. In Robocup Symposium 2006. Bremen, Alemania. 19-20 Junio, 2006.
Reducing the Amount of Input Data in Traffic Signs Classification. A. Granados, A. Ledezma, G. Gutiérrez & Sanchis. In, 3rd International Conference Modeling Decisions for Artificial Intelligence, MDAI 2006, Tarragona, Spain, 3-5 April, 2006.
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. J. A. Iglesia, A. Ledezma& Sanchis. In Modeling Decisions for Artificial Intelligence, MDAI 2006, Lecture Notes in Computer Science, 3885, Springer, pp. 117-128, Tarragona, Spain, 3-5 April, 2006. DOI: https://doi.org/10.1007/11681960_13.
Comparing Behavior in Agent Modelling Task. A. Iglesia, A.I. Ledezma & A. Sanchis. In International Conference.on Applied Computing, IADIS 2006, San Sebastian, Spain, 25-28 Febrero 2006.
A Static Images Based-System for Traffic Signs Detection. Moreno, A. Ledezma, A. Sanchis. In 24th International Conference on Artificial Intelligence and Apllications, AIA’06, pp. 445-450, Innsbruck, Austria, 13 – 16 Febrero, 2006

Non-direct Enconding method based on Cellular Automata to design Neural Network Architectures. Gutiérrez, A. Sanchis, P. Isasi, J.M. Molina & I. M. Galván. Computing and Informatics, 24, 225-247, (2005).

Studying the capacity of cellular encoding to generate feedforward neural network topologies. Gutierrez, G., Galván, I., Molina, J., & Sanchis, A. (2004). In 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) (Vol. 1, pp. 211–215). doi: 10.1109/IJCNN.2004.1379900.
Predicting Opponent Actions by Observation. Ledezma. R. Aler, A. Sanchis & D. Borrajo. In RoboCup 2004: Robot Soccer World Cup VIII. Lecture Notes in Computer Science, 3276, Springer, pp. 286–296. Lisbon, Portugal, 27 Junio—5 Julio, 2004. DOI: 10.1007/978-3-540-32256-6_23.
Studying the Capacity of Cellular Encoding to Generate Feedforward Neural Network Topologies. Gutierrez, I. Galvan, J. Molina & A. Sanchis. In IEEE International Joint Conference on Neural Networks, IJCNN 2004, pp. 211—215, Budapest, Hungary, 25—29 Julio, 2004. DOI: 10.1109/IJCNN.2004.1379900.
Empirical Evaluation of Optimized Stacking Configurations. A. Ledezma, R. Aler, Sanchis & D. Borrajo. In 16th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2004, Miami, USA, 15-17 Noviembre, 2004. DOI: 10.1109/ICTAI.2004.56.

Studiying the Capacity of Grammatical Encoding to Generate FNN Architectures. G. Gutiérrez, B. García, J. M. Molina & Sanchis. In International Work-Conference on Artificial Neural Networks, IWANN 2003, Lecture Notes in Computer Science, 2686, Springer, pp. 478-485, Menorca, Spain, 3-6 Junio, 2003. DOI: https://doi.org/10.1007/3-540-44868-3_61.
Modified Self-organizing Maps for in Extraction in Digitized Text Documents. J. M. Alonso-Weber, I. M. Galván & Sanchis. In IASTED International Conference on Applied Informatics (AI 2003), Innsbruck, Austria, 10-13 Febrero 2003.

Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. A. Berlanga, Sanchis, P. Isasi & J.M. Molina. Journal of Intelligent and Robotic Systems, 33(2), 139-166, (2002).
Generative capacities of grammars codification for evolution of NN architectures. Evolutionary Computation, M. A. Guinea, G. Gutierrez, I. Galvan, A. Sanchis and J. M. Molina. (2002). CEC ’02. Proceedings of the 2002 Congress on, Honolulu, HI, 2002, pp. 611-616. Doi: 10.1109/CEC.2002.1006996.
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. Gutiérrez, I. M. Galván, J.M. Molina & A. Sanchis. In International Conference on Artificial Neural Networks, ICANN 2002, Lecture Notes in Computer Science, 2415, Springer, pp. 314-319, Madrid, Spain, 28-30 Agosto, 2002. DOI: https://doi.org/10.1007/3-540-46084-5_52. Índice JCR 0,515 Computer Science, Theory & Methods.
Evolución de Gramáticas Bidimensionales de Contexto Libre para el Diseño de Arquitecturas de Redes de Neuronas Artificiales. M. A. Guinea, Sanchis & J.M. Molina. Revista Iberoamericana de Inteligencia Artificial, 17 (VI/02), 33–47, (2002).
Generative Capacities of Grammars Codification for Evolution of NN Architectures. A. Guinea, G. Gutierrez, I. Galván, A. Sanchis, & J. M. Molina. In IEEE Congress on Evolutionary Computation, CEC 2002, pp. 611-616. Hawai. 12—17 Mayo, 2002. DOI: 10.1109/CEC.2002.1006996.
Generating Training Environment to obtain a Generalized Robot Behavior by means of Classifier Systems. D. Sanchez, J. M. Molina & Sanchis. In 3rd WSES International Conference on Evolutionary Computation, Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation, pp 271-276. Febrero, 2002.
An Objective Measure to Compare some Automatic Generation Methods of NN Architectures. G. Gutiérrez, J. M. Molina, I. Galván & Sanchis. In IEEE International Conference on Systems, Man and Cybernetics, SMC 2002. Yasmine Hammamet, Tunisia, 6-9 Octubre, 2002. DOI: 10.1109/ICSMC.2002.1176107.
Predicting Opponent Actions in the RoboSoccer. A. Ledezma, R. Aler, Sanchis & D. Borrajo. In IEEE International Conference on Systems, Man and Cybernetics, SMC 2002. Yasmine Hammamet, Tunisia, 6-9 Octubre, 2002. DOI: 10.1109/ICSMC.2002.1175692.
Extracting Classifier System Rules from a Braitenberg Model. Acosta, J. M. Molina & A. Sanchis. In IASTED 20th International Multi-Conference on Applied Informatics, AI’02, pp. 232-237. Insbruck, Austria, 18-21 Febrero, 2002.
Diseño de Redes Neuronales mediante Computación Evolutiva. Germán Gutiérrez, Araceli Sanchis, Inés M. Galván. Informe técnico del Departamento de Informática de la Universidad Carlos III de Madrid, UC3M-TR-CS-2001-09, (2001).

Applying Classifier Systems to Learn Reactions in Mobile Robots. Sanchis, P. Isasi, J. M. Molina, J. Segovia. International Journal of Systems Science, 32(2), 237-258, (2001).
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. G. Gutiérrez, P. Isasi, J.M. Molina, Sanchis & I. M. Galván In 6th International Work-Conference on Artificial and Neural Networks, IWANN’01, Lecture Notes in Computer Science, 2084, Springer, pp. 514-521, Granada, Spain, 13-15 Junio, 2001. DOI: https://doi.org/10.1007/3-540-45720-8_61.
Rule Extraction from Neural Network Robot Controller using Classifier Systems. J. Acosta, J. M. Molina, Sanchis. In the UK Workshop on Computational Intelligence, pp. 222-225. Edimburgo, UK, 10-12 Septiembre 2001.
Characteristics of Grammars Codification for Evolution of NN Architectures. M. A. Guinea, Sanchis & J. M. Molina. In IASTED International Conference Artificial Intelligence and Applications, AIA 2001, pp. 72-76, Marbella, Spain, 3- 5 Septiembre, 2001.

Hydroelectric Power Plant Management relying on Neural Networks and Expert System Integration. J. M. Molina, P. Isasi, A. Berlanga & Sanchis. Engineering Applications of Artificial Intelligence. 4-5(2), 357-369, (2000).
RTCS: a Reactive with Tags Classifier System. Sanchis, J. M. Molina, P. Isasi & J. Segovia. Journal of Intelligent and Robotic Systems, 27(4), 379-405, (2000).
An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments. J. M. Molina, Sanchis, A. Berlanga & P. Isasi. Intelligent Automation and Soft Computing. Autosoft Press, 6(2), 113-124, (2000).
A General Learning Co-Evolution Method to Generalize Autonomous Robot Navigation Behavior. A. Berlanga, Sanchis, P. Isasi & J. M. Molina.In IEEE Congress on Evolutionary Computation, CEC 2000. pp. 769-776, San Diego (CA) USA, Julio, 2000. DOI: 10.1109/CEC.2000.870376.
Searching General Cellular Automata Rules Using Evolutionary Computation. A. Berlanga, P. Isasi, Sanchis & J. M. Molina. In Learning 2000, Leganés, Spain, 25-27. Octubre, 2000.
Coevolutive Adaptation of Fitness Landscape for Solving the Testing Problem. A. Berlanga, P. Isasi, Sanchis & J. M. Molina. In IEEE International Conference on Systems, Man and Cybernetics. pp. 3846-3851, Nashville, USA. 8-11, Octubre, 2000. DOI: 10.1109/ICSMC.2000.886610.
Grammars and Cellular Automata for Evolving Neural Networks Architectures. J. M. Molina, I. Galván, P. Isasi & Sanchis. In IEEE International Conference on Systems, Man and Cybernetics. pp. 2497-2502, Nashville, USA, 8-11 Octubre, 2000. DOI: 10.1109/ICSMC.2000.884368.
Learning Evolution of Context-free Grammars for Designing Optimal Neural Networks Architectures. M. Molina, A. Torresano, I. Galván, P. Isasi, & A. Sanchis. In Workshop on Evolutionary Computation in the Development of ANN, GECCO 2000, Las Vegas, USA, 10-12 Julio, 2000.
Uniform Coevolution for Solving the Density Classification Problem in Cellular Automata. A. Berlanga, P. Isasi, Sanchis & J. M. Molina. In the 2nd Annual Conference on Genetic and Evolutionary Computation, GECCO 2000. pp. 383, Las Vegas, USA. 10-12 Julio, 2000.
Neural Networks Architectures Design by Cellular Automata Evolution. I.M. Galván, Sanchis, P. Isasi & J. M. Molina. In the 4th World Multiconference on Systemics, Cybernetics and Informatics SCI 2000 and The 6th International Conference on Information Systems, Analysis and Synthesis ISAS 2000. Vol III, pp. 457-462, Orlando, Florida, USA. 23-26 Julio, 2000.
Robot Action Planning, Road Map de la Red Europea de Excelencia en planificación PLANET-I, TCU en Robot Plannig, Malik Ghallab (LAAS-CNRS, Toulouse, France) with contributions for the state of the art from Daniel Borrajo (Universidad Carlos III de Madrid, Spain), Patrick Fabiani (ONERA, Toulouse, France), José Manuel Molina (Universidad Carlos III de Madrid, Spain), Araceli Sanchis (Universidad Carlos III de Madrid, Spain), and Bernd Schattenberg (University of Ulm, Germany), (2000).

A Computational Model of Evolution: haploidy versus diploidy. Isasi, J. M. Molina, A. Sanchis & A. Berlanga. Computers and Artificial Intelligence, 18(6), 575-594, (1999).
Applying Evolution Strategies to a Neural Network Robot Controller. A. Berlanga, J. M. Molina, Sanchis & P. Isasi. In 5^th International Work-Conference on Artificial and Neural Networks, IWANN’99, Lecture Notes in Computer Science 1607, Springer, pp. 516-525, Alicante, Spain, 2-4 Junio, 1999. DOI: https://doi.org/10.1007/BFb0100519. Índice JCR 0.872, Computer Science, Theory & Methods.
Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation. Sanchis, J. Molina, P. Isasi & J. Segovia. In 5^th International Work-Conference on Artificial and Neural Networks, IWANN’99, Lecture Notes in Computer Science, 1607, Springer, pp. 548-557Alicante, Spain, 2-4 Junio, 1999. DOI: https://doi.org/10.1007/BFb0100522. Índice JCR 0.872, Computer Science, Theory & Methods.
Generación Automática de Categorías mediante la Evolución de Tags en Sistemas Clasificadores. Sanchis, J. M. Molina, P. Isasi & J. Segovia. Revista Iberoamericana de Inteligencia Artificial, 7 (IV/99), 77–94, (1999).
Neural Networks Robot Controller Trained with Evolution Strategies. A. Berlanga, Sanchis, P. Isasi & J. M. Molina. In IEEE Congress on Evolutionary Computation, CEC99, pp, 413-419. Washington, USA. Julio 1999. DOI: 10.1109/CEC.1999.781954.
Knowledge Acquisition Including Tags in a Classifier System. Sanchis, J. M. Molina, P. Isasi, & J. Segovia. In IEEE Congress on Evolutionary Computation, CEC99, pp. 137-144. Washington, USA. Julio 1999. DOI: 10.1109/CEC.1999.781918.
Reactive with Tags Classifier System Applied to Real Robot Navigation. Sanchis, J. M. Molina, P.Isasi & J. Segovia. In 7th IEEE International Conference on Emerging Technologies and Factory Automation. pp. 63-70. Barcelona, Spain, 18-21 Octubre, 1999. DOI: 10.1109/ETFA.1999.815339.
Distance Modulation Competitive Coevolution Method to Find Initial Configuration Independent Cellular Automata Rules. A. Berlanga, P. Isasi, Sanchis & J. M. Molina. In IEEE International Conference on Systems, Man and Cybernetics, pp. 607-612, Tokyo, Japan. 12-15 Octubre, 1999. DOI: 10.1109/ICSMC.1999.815621.
Hierarchical Genetic Alghoritms for Composite Laminate Panels Stress Optimization. P. Isasi, Sanchis, J. M. Molina & A. Berlanga. In IEEE International Conference on Systems, Man and Cybernetics. pp. 447-451, Tokyo, Japan, 12_15 Octubre 1999. DOI: 10.1109/ICSMC.1999.812445.
Learning Sequences of Rules using Classifier Systems with Tags. Sanchis, J. M. Molina, P.Isasi & J. Segovia. In IEEE International Conference on Systems, Man and Cybernetics, pp. 624-629. Tokyo, Japan, 12-15. Octubre 1999. DOI: 10.1109/ICSMC.1999.815624.
Decision Support System Based on Fuzzy Knowledge Applied to a Software Factory. F. Chamorro, F. García, Sanchis & J. M. Molina. In Eusflat-Estylf Joint Conference. pp. 449-452. Islas Baleares, Spain, Septiembre 1999.
Fuzzy Colour Distance Applied to Region Growing in Image Processing. R. Soria, Sanchis & J. M. Molina. In Eusflat-Estylf Joint Conference. pp. 259-262. Islas Baleares, Spain, Septiembre 1999.

Melting Behavior, Miscibility and Hydrogen Bonding interactions of Poly (∈-caprolactone)/Poly(4-Hydroxystyrene) Blends. Sanchis, M. G. Prolongo, C. Salom & R.M. Masegosa. Journal of Polymer Science Polymer Physics, 36, 95-104, (1998).
Expert System-Neural Network: A Hybrid system for predictive control. J. M. Molina, P. Isasi, & Sanchis. Computational Intelligence and Applications, Ed Piort Szczepaniak, in series Studies in Fuzziness and Soft Computing, series editor J. Kacprzyk , pp. 260-267, Springer-Verlag,(1998).
A Reactive Approach to Classifier Systems. M. Molina, C. Sevilla, P. Isasi & A. Sanchis. In IEEE International Conference on Systems, Man and Cybernetics, SMC98, pp. 1359-1364, San Diego, CA, USA, 14 Octubre, 1998. 10.1109/ICSMC.1998.728072.
Competitive Evolution to Find Generalized Solutions: the Arms Race Perspective. A. Berlanga, P.Isasi, J. M. Molina & Sanchis. In IEEE International Conference on Intelligent Engineering Systems, INES’98, pp. 61-65, Vienna, Austria, 17-19, Septiembre, 1998.
A Fuzzy Reasoning System for Boundary Detection in Radiologycal Images. M. Molina, M.J. Martín, P.Isasi & A. Sanchis. In IEEE International Conference on Fuzzy Systems Proceedings and IEEE World Congress on Computational Intelligence, pp. 1524-1529. Anchorage, Alaska, USA, 5-9 Mayo, 1998. DOI: 10.1109/FUZZY.1998.686345
Expert System-Neural Network: A Hybrid System for Predictive Control. J. M. Molina, P.Isasi & Sanchis. In 9th International Symposium on System Modeling and Control, Polonia, Zacopane, 27 Abril- 1 Mayo, 1998.
Extracción de Características en Imágenes Difuminadas mediante Lógica Borrosa. M.J. Martín, J.M. Molina, P. Isasi & Sanchis. In VIII Congreso Español sobre Tecnología y Lógica Fuzzy. pp. 131-136, Pamplona, España, 8-10, Septiembre 1998.

Learning Reactive Behavior for Autonomous Robots using Classifier Systems. Sanchis, J. M. Molina & P. Isasi. Spatiotemporal Models in Biological and Artificial Systems, edited by F.L.Silva, J.C.Principe y L.B. Almeida. Vol. 37 of Frontiers in Artificial Intelligence and Applications, series editors: J.Breuker, R. López de Mántaras, S. Ohsuga y W. Swartout., IOS Press, 152–159, (1997).
Evolving Connection Weight Between Sensors and Actuators in Robots. J. M. Molina, Sanchis, A. Berlanga & P.Isasi. In IEEE International Symposium on Industrial Electronics, pp. 686-690. Gimaraes, Portugal, 7-11 Julio1997. DOI: https://doi.org/10.1109/ISIE.1997.649054.
Robot Controller against Environment, a Competitive Evolution. Isasi, A Berlanga, J. M. Molina, A. Sanchis. In 15th IMACS World Congress 1997 on Scientific Computation, Modelling and Applied Mathematics, Special Session on Evolutionary Computation, pp. 349-354. Alemania, Agosto 1997.
Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. P.Isasi, J. M. Molina & Sanchis. In 4th International Work-Conference on Artificial and Neural Networks, IWANN’97, Lecture Notes in Computer Science 1240, Springer, pp. 1298-1306. Lanzarote, Canary Islands, Spain, 4-6, Junio, 1997. DOI: https://doi.org/10.1007/BFb0032590.

Parametric Analisys of Tg vs. Composition Behaviour in Poly (4-Hydroxystyrene) blends using both evolutionary fitting and classical methods. A. Navia, R.M. Masegosa, M.G. Prolongo & Sanchis, Polymer Journal, 28(3), 217-225, (1996).
Learning Reactive Behavior for Autonomous Robots using Classifier Systems. Sanchis, J. M. Molina & P. Isasi. In International Workshop on Spatio-Temporal Models in Biological and Artificial Systems. Sintra, Portugal, Noviembre 1996.
Classifier Systems for Learning Reactions in Robotics Systems. Sanchis, J. M. Molina & P. Isasi. In First International Workshop on Machine Learning, Forecasting and Optimization, MALFO’96, Pp. 153-159. Leganés, Madrid, Spain, Julio 1996.

Dynamic-Mechanical Study of the Dynamics of Polymer blends Near the Glass Transition. Sanchis, R.M. Masegosa, M.G. Prolongo & R.G. Rubio. Macromolecules, vol. 28, nº8, pp 2693-2699, (1995).
Hydrogen-bonded polymer blends. Blends containing Poly-(4-Hydroxystyrene-co-4-metoxystyrene). Sanchis, R.M. Masegosa, M.G. Prolongo & R.G. Rubio, Polymer Journal, 27(1), 10-20, (1995).

Hydrogen-bonded polymer blends. Blends containing Poly-(4-Hydroxystyrene-co-4-metoxystyrene). Sanchis, R.M. Masegosa, M.G. Prolongo & R.G. Rubio, Polymer Journal, 27(1), 10-20, (1995).

Melting Behaviour of Miscible Polymer Blends Containing Poly–Caprolactone. Sanchis, G. Luengo, M.G. Prolongo, R. Masegosa & R.G. Rubio. Jornadas mediterráneas de Calorimetría y Análisis Térmico, Córcega, Francia, Septiembre 1993.

Análisis Dinámico Mecánico de los sistemas PHS+PVA y PHS+PMA. Sanchis, G. Luengo, M.G. Prolongo, R. Masegosa y R.G. Rubio. In Simposio Iberoamericano de Polímeros, Vigo, Julio 1992.

Miscibilidad de polímeros: influencia del tamaño del sustituyente en sistemas poli-p-hidroxiestireno + poliacrilatos. Sanchis, M.G. Prolongo, R.M. Masegosa & R.G. Rubio. Reunión Nacional de Materiales Polímeros, Valencia, junio de 1991.

Interaction parameters of poly (4-hydroxiestyrene)+ polyvinylacetate. G. Lezcano, A. Sanchis, M.G. Prolongo, R.M. Masegosa, C. Salom & R.G. Rubio. In III European Polymer Symposium. Sorrento (Italia), octubre, 1990.
Compatibility of polymer mixtures by hydrogen bonding. G. Palanco, A. Sanchis, M.G. Prolongo, R.M. Masegosa & R.G. Rubio. In III European Polymer Symposium, Sorrento (Italia), octubre, 1990.
Parámetros de interacción PHS + PVA. E.G. Lezcano, Sanchis, M.G. Prolongo, R.M. Masegosa, C. Salom & R.G. Rubio. 23 Reunión Bienal de la Real Sociedad Española de Química, Salamanca, Septiembre, 1990.
Compatibilidad de polímeros por enlace de hidrógeno. J. G. Palanco, Sanchis, M.G. Prolongo, R.M. Masegosa & R.G. Rubio. 23 Reunión Bienal de la Real Sociedad Española de Química, Salamanca, Septiembre, 1990.

Compatibilidad de mezclas de poli-vinilfenol con poli-metacrilato de metilo y poli-vinil acetato. Sanchis, R.G. Rubio, M.G. Prolongo & R.M. Masegosa. Reunión Nacional de Materiales Polímeros, Valencia, Junio 1989.

«Los libros van siendo el único lugar de la casa donde todavía se puede estar tranquilo.»
– Julio Cortázar –

Publicaciones

Araceli Sanchis de Miguel

Agapito Ledezma Espino

José Antonio Iglesias Martínez

María Paz Sesmero Lorente

Juan Manuel Alonso Weber

David Yagüe Cuevas

Publicaciones por Año