Papers

 

  • "BERT learns from electroencephalograms about Parkinson´ s Disease: Transformer-based models for aid diagnosis". Nogales, A., García-Tejedor, Á. J., Maitín, A. M., Pérez-Morales, A., Del Castillo, M. D., and Romero, J. P. IEEE Access (2022). DOI: 10.1109/ACCESS.2022.3201843.
  • “Biomarker based on natural language processing methods to detect the stages of Parkinson's disease through electroencephalography”. Maitin, A.M., Morales, J., Romero-Azpitarte, S., Romero, J.P., Arroyo Ferrer, A., González Zamorano, Y., Sánchez Cuesta, F.J., García Tejedor, Á.J. International Congress of Parkinson’s Disease and Movement Disorders 2022, 15-18 Sep 2022 Madrid, Spain.
  • “Survey of Machine Learning Techniques in the Analysis of EEG Signals for Parkinson’s Disease: A Systematic Review”. Maitin, A.M.; Romero Muñoz, J.P.; García-Tejedor, Á.J. Applied Sciences, 12(14), 6967 (2022). DOI: 10.3390/app12146967
  • "How do thermography colors influence breast cancer diagnosis? A hybrid model of convolutional networks with a weighted average evolutionary algorithm" A. Nogales, A., Pérez Lara, F., Morales Escudero, J. and García-Tejedor, A.J. In: Arai, K. (eds) Intelligent Systems and Applications (IntelliSys 2022). Lecture Notes in Networks and Systems, vol 543, pp. 271–281. Springer, Cham. DOI: 10.1007/978-3-031-16078-3_17
  • "An open-source Python library for self-organizing-maps". García-Tejedor, Á. J., and Nogales, A.  Software Impacts, 12, 100280 (2022). DOI: 10.1016/j.simpa.2022.100280
  • "A comparison of neural and non-neural machine learning models for food safety risk prediction with European Union RASFF data" Nogales, A., Díaz-Morón, R. and García-Tejedor, A.J. Food Control 134, 108697 (2022). DOI: 10.1016/j.foodcont.2021.108697

 

  • "Artificial intelligence and brain network analysis. Applications in Video EEG and epilepsy" Garcia-Tejedor, A.J. VII Congreso Nacional de la Sociedad Española de Epilepsia (Santander) 21,22 y 23 de octubre de 2021.
  • "Deep learning. The computer scientist's perspective" Nogales Moyano, A. VII Congreso Nacional de la Sociedad Española de Epilepsia (Santander) 21,22 y 23 de octubre de 2021.
  • "Genetic and Swarm Algorithms for Optimizing the Control of Building HVAC Systems Using Real Data: A Comparative Study" Garces-Jimenez A, Gomez-Pulido J-M, Gallego-Salvador N, Garcia-Tejedor, A.J. Mathematics 9(18):2181-2205 (2021). DOI: doi.org/10.3390/math9182181
  • “Food and feed health risk notifications in the European Union: a historical dataset of the issues registered in the Rapid Alert System for Food and Feed portal.”, Nogales, A. and Garcia-Tejedor, A.J. Mendeley Data, V2 (2021). DOI: doi.org/10.17632/yxkm4gs7zf.2
  • “A domain categorization of ontologies based on a deep learning classifier”. Nogales, A; Sicilia, M and García-Tejedor, A.J. Journal of Information Sciences (2021). DOI: doi.org/10.1177/01655515211018170
  • “ARQGAN: an evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples”. Nogales, A., Delgado-Martos, E., Melchor, Ángel. and García-Tejedor, A.J. Expert Systems With Applications 180(2021):115092-115108 (2021). DOI: 10.1016/j.eswa.2021.115092
  • “A survey of deep learning models in medical therapeutic areas”. Nogales, A., García-Tejedor, A.J., Monge, D., Antón, C. Artificial Intelligence in Medicine 112(2021):102020-102037 (2021). DOI: 10.1016/j.artmed.2021.102020
  • 'Autonomic Management of a Building’s multi-HVAC System Start-Up'Aguilar, J., Garces-Jimenez, A., Gómez-Pulido, J.M., R-Moreno, M.D., Gutiérrez de Mesa, J.A., Gallego-Salvador, N. IEEE Access. (2021). DOI: 10.1109/ACCESS.2021.3078550
  • "Time Series Analysis Applied to EEG Shows Increased Global Connectivity during Motor Activation Detected in PD Patients Compared to Controls". Maitín, A., Perezzan, R., Herráez-Aguilar, D., Serrano, I.J., Castillo, M.D., Arroyo, A., Andreo, J. and Romero, J.P. Applied Sciences 11(1), 15 (2021). DOI: 10.3390/app11010015

 

  • “Machine Learning Approaches for Detecting Parkinson's Disease from EEG Analysis: A Systematic Review”. Maitín, A. M., García-Tejedor, A. J. & Romero Muñoz, J. P. Applied Sciences 10(23), 8662-9683 (2020). DOI: 10.3390/app10238662
  • “Clasificación automática de los niveles de progresión de la enfermedad de Parkinson por medio de técnicas de Deep Learning. (Resultados Preliminares)”. Maitín López, A. M., García Tejedor, Á. J., Arroyo Ferrer, A., Castillo, M. D., Serrano, I., Rocón, E., Romero Muñoz, J. P. LXXII Reunión Anual de la Sociedad Española de Neurología, Nov 23-Dic 3, 2020.
  • Predicting infectious diseases by using machine learning classifiers”. Gomez-Pulido, J. A., Romero-Muelas J. M., Gomez-Pulido, J. M., Castillo-Sequera, J. L., Sanz-Moreno, J., Polo-Luque, M. L., Garces-Jimenez, A. 8th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2020). Granada, Spain. Universidad de Granada. (2020). DOI: 10.1007/978-3-030-45385-5_53.
  • "ELRI: A Decentralised Network of National Relay Stations to Collect, Prepare and Share Language Resources". Thierry Etchegoyhen, Borja Anza Porras, Andoni Azpeitia, Eva Martínez Garcia, José Luis Fonseca, Patricia Fonseca, Paulo Vale, Jane Dunne, Federico Gaspari, Teresa Lynn, Helen McHugh, Andy Way, Victoria Arranz, Khalid Choukri, Hervé Pusset, Alexandre Sicard, Rui Neto, Maite Melero, David Perez, António Branco, Ruben Branco, Luís Gomes. In: Proceedings of the 1st International Workshop on Language Technology Platforms, pp. 35-43. Marseille (France) May 11-16, 2020.
  • "Latin-Spanish Neural Machine Translation: from Bible to Saint Augustine". Martínez Garcia, E. and García-Tejedor, Á. J. In: Proceedings of the 1st Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA at LREC2020), pp. 94-99. Marseille (France) May 11-16, 2020. DOI: 10.5281/zenodo.3819924
  • "An Autonomic Cycle of Data Analysis Tasks for the Supervision of HVAC Systems of Smart Building". Aguilar, J., Ardila, D., Avendano, A., Macias, F., White, C., Gomez Pulido, J. M., Gutierrez-de-Mesa, J. A. & Garces-Jimenez, A. MDPI Energies. Smart Grids & Microgrids. Vol. 13 Issue 12, 3103. (2020). DOI: 10.3390/en13123103.
  • "Predicting infectious diseases by using machine learning classifiers". Gomez-Pulido, J. A., Romero-Muelas J. M., Gomez-Pulido, J. M., Castillo-Sequera, J. L., Sanz-Moreno, J., Polo-Luque, M. L., Garces-Jimenez, A. 8th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2020). Granada, Spain (2020). DOI: 10.1007/978-3-030-45385-5_53.
  • "Application of Deep Neuronal Networks for the extraction of spectral characteristics in patients with Parkinson's disease". Maitin, A., García-Tejedor, Á. J., Castillo, M., Rocón, E., Serrano, I., Arroyo, A., Andreo, J. and Romero, J. P. Movement Disorders Journal 35(S1), 681 pp 305 (2020) DOI: 10.1002/mds.28268.
  • "Time Series Analysis Applied to EEG Shows Increased Global Connectivity During Motor Activation in PD Patients Compared to Controls". Herráez, D., Maitin, A., Perezzan, R., Castillo, M.D., Serrano, I.J., Arroyo, A., Andreo, J. and Romero, J. P. Movement Disorders Journal 35(S1), 675 pp 300 (2020) DOI: 10.1002/mds.28268.
  • "AI: Four Questions for the Great Challenge of the 21st Century". García-Tejedor, Á. J. and García Plá, V. "The 'good' algorithm? Artificial Intelligence, Ethics, Law, Health”, Vatican City February 26-28, 2020
  • "A light method for data generation: a combination of Markov Chains and Word Embeddings". Martínez-García, E.; Nogales, A.; Morales, J. and García-Tejedor, Á. Procesamiento del Lenguaje Natural, 64, 85-92 . March, 2020. DOI: 10.26342/2020-64-10.
  • "Advanced fuzzy-logic-based context-driven control for HVAC management systems in buildings". Morales, L.; Aguilar, J.; Garcés-Jiménez, A.; Gutiérrez de Mesa, J. A. and Gómez-Pulido, J. M. IEEE Access 8(1), 16111 - 16126 (2020). DOI: 10.1109/ACCESS.2020.2966545.
  • "Cross-lingual Semantic Annotation of Biomedical Literature: Experiments in Spanish and English". Naiara Perez, Pablo Accuosto, Àlex Bravo, Montse Cuadros, Eva Martínez-Garcia, Horacio Saggion and German Rigau. Bioinformatics 36(6), 1872–1880 (2020). DOI: 10.1093/bioinformatics/btz853.

 

  • "Proposal of Physical Models of Multi-HVAC Systems for Energy Efficiency in Smart Buildings". Mendoza-Pittí, L.; Garcés-Jiménez, A.; Aguilar, J.; Gómez-Pulido, J. M. and Vargas-Lombardo, M. 7th International Engineering, Sciences and Technology Conference (IESTEC 2019), Panamá (Panamá) October 9-11, 2019, pp. 641-646. DOI: 10.1109/IESTEC46403.2019.00120.
  • "A multi-HVAC system autonomic management architecture for smart buildings". Gallego-Salvador, N., Aguilar, J., Garcés-Jiménez, A., Gómez-Pulido, J., Mendoza, L., Gutiérrez de Mesa, J. A. and García-Tejedor, A. IENER 2019. Madrid (España) 26-27 Junio, 2019.
  • "Autonomic Management Architecture for Multi-HVAC Systems in Smart Buildings". Aguilar, J.; Garcés-Jiménez, A.; Gallego Salvador, N.; Gutiérrez de Mesa, J.; Gomez-Pulido, J. and García-Tejedor, A. IEEE Access 7(1), 123402-123415 (2019). DOI: 10.1109/ACCESS.2019.2937639.
  • "Proposal Using the Cloud Architecture in System for the Early Detection of Infectious Diseases in Elderly People Fed by Biosensors Records". Calderon, H., Garces-Jimenez,  A., Vargas-Lombardo, M., Gomez-Pulido, J. M., Polo-Luque, M. L., Castillo-Sequera, J. L., Sencion-Martinez, G.L.,  Sanz-Moreno, J. VII International Engineering Sciences and Technology Conference (IESTEC 2019). Panama, Panama. Universidad Tecnologica de Panama. (2019). DOI: 10.1109/IESTEC46403.2019.00118
  • "mHealth system for the Early Detection of Infectious Diseases using Biomedical Signals". Sanz-Moreno, J., Gomez-Pulido, J.M., Garces-Jimenez, A., Calderon-Gomez, H., Vargas-Lombardo, M., Castillo-Sequera, J.L., Sencion-Martinez, G.L. Latin American Congress on Automation and Robotics (LACAR 2019). Cali, Colombia. Pontificia Universidad Javeriana. (2020). DOI: 10.1007/978-3-030-40309-6_20
  • "Game Analytics Evidence-Based Evaluation of a Learning Game for Intellectual Disabled Users". Cano, A. R.; García-Tejedor, A.J.; Alonso-Fernández, C. and Fernández-Manjón, B. IEEE Access 7(1), 123820-123829 (2019). DOI: 10.1109/ACCESS.2019.2938365.
  • "Analysis of Artificial Neural Network Architectures for Modeling Smart Lighting Systems for Energy Savings". Garcés-Jiménez, A.; Castillo-Sequera, J. L.; Del Corte-Valiente, A.; Gómez-Pulido J. M. and Domínguez González-Seco, E. IEEE Access 7(1), 119881-119891 (2019). DOI: 10.1109/ACCESS.2019.2932055.
  • "Deep Learning: the actual breakthrough in Artificial Intelligence. The vascular cases". Nogales A. Santiago Aortic Meeting (SAM), University Clinical Hospital. Santiago de Compostela (Spain) May 9-10, 2019.
  • "Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps" Nogales, A.; García-Tejedor, A. J.; Sanz, N. M.; de Dios Alija, T. In: Vellido A., Gibert K., Angulo C., Martín Guerrero J. (eds) Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. Advances in Intelligent Systems and Computing, vol 976, 80-89. Springer, Cham (2019). DOI: 10.1007/978-3-030-19642-4.
  • "Informe del estado del arte sobre detección automática de actividad en el hogar de personas mayores para su asistencia remota y aportación de la computación cognitiva" Ángel García Crespo, Roxana Rodríguez Gonçalves, Alberto Garcés, Álvaro J. García Tejedor. CNIE (Centro Internacional sobre Envejecimiento).

 

 

  • "Ontology modeling of the Estonian Traffic Act for self-driving buses" Alberto Nogales, Ermo Täks, Kuldar Taveter. SIMBig 2018. Lima (Peru) September 5-7, 2018.
  • "Using Game Learning Analytics for Validating the Design of a Learning Game for Adults with Intellectual Disabilities" Cano, A. R.; Fernández-Manjón, B. and García-Tejedor, A.J. British Journal of Educational Technology 49(4), 659-672 (2018). DOI: 10.1111/bjet.12632.
  • "Cloud Data Base Construction Method for Speed Diagnosis of Infectious Diseases" Alberto Garces, Vera Pospelova, José Luis Castillo Sequera, José Manuel Gómez-Pulido, José María Gutiérrez Martínez, María-Luz Polo-Luque. URSI 2018. Granada (Spain) September 5-7, 2018.

 

  • "GLAID: Designing a Game Learning Analytics Model to Analyze the Learning Process in Users with Intellectual Disabilities". Cano, A. R.; Fernández-Manjón, B. and García-Tejedor, A. J. Serious Games, Interaction and Simulation. Eds. Carlos Vaz de Carvalho, Paula Escudeiro and António Coelho. Springer  pp. 45-52 (2017). DOI: 10.1007/978-3-319-51055-2_7
  • "Downtown, A Subway Adventure: Using Learning Analytics to Improve the Development of a Learning Game for People with Intellectual Disabilities". Cano, A. R.; Fernández-Manjón, B. and García-Tejedor, A. J. Advanced Technologies for Supporting Open Access to Formal and Informal Learning. Eds. J. M. Spector, C. C. Tsai, D. G Sampson, Kinshuk, R. Huang, N. S. Chen, P. Resta. IEEE pp. 125-129 (2016). DOI: 10.1109/ICALT.2016.46