Our publications

International journals

International conferences

PhD dissertations

Master's and undergraduate thesis

Outreach activities

 

International journals

  1. Aguilera, M (2018). Rhythms of the collective brain: Metastable synchronization and cross-scale interactions in connected multitudes. Complexity Volume 2018, Article ID 4212509. IF (2018): 2.591, Q1: 21/105 (Category: Mathematics, Multidisciplinary Applications) DOI:10.1155/2018/4212509
  2. Aguilera, M. (2019). Scaling Behaviour and Critical Phase Transitions in Integrated Information Theory. Entropy, 21(12), 1198. IF (2019): 2.494, Q2: 33/85 (Category: Physics, Multidisciplinary) DOI:10.3390/e21121198
  3. Aguilera, M., Bedia, M.G. (2018). Adaptation to criticality through organizational invariance in embodied agents. Scientific Reports volume 8, Article number: 7723. IF (2018): 4.011, Q1: 15/69 (Category: Multidisciplinary Sciences) DOI:10.1038/s41598-018-25925-4
  4. Aguilera, M., Bedia, M.G. (2018). Exploring Criticality as a Generic Adaptive Mechanism. Frontiers in Neurorobotics 12: 55. IF (2018): 3.000, Q2: 42/134 (Category: Computer Science, Artificial Intelligence) DOI:10.3389/fnbot.2018.00055
  5. Aguilera, M., Di Paolo, E.A. (2019). Integrated information in the thermodynamic limit. Neural Networks, Volume 114, pp 136-146. IF (2019): 5.535, Q1: 19/137 (Category: Computer Science, Artificial Intelligence) DOI:10.1016/j.neunet.2019.03.001
  6. Albert, P., Mayordomo, E., Moser, P. (2017) Bounded Pushdown dimension vs Lempel Ziv information density. Computability and Complexity, 95-114 (LNCS, volume 10010) https://doi.org/10.1007/978-3-319-50062-1_7
  7. Barceló-Coblijn, L., Salazar, D. S., Isaza, G., Ossa, L. F. C., Bedia, M.G. (2017). Netlang: A software for the linguistic analysis of corpora by means of complex networks. PLOS ONE, 12(8). IF (2016): 2.766, Q1: 15/64 (Category: Multidisciplinary Sciences)  doi.org/10.1371/journal.pone.0181341
  8. Barone, P., Bedia, MG, Gomila, A. (2020). A minimal Turing test: reciprocal sensorimotor contingencies for interaction detection. Frontiers in Human Neuroscience 14:102. Research Topic: Sensorimotor Foundations of Social Cognition. IF (2019): 2.673, Quartile: Q2: 24/78 (Category: Psychology). https://doi.org/10.3389/fnhum.2020.00102
  9. Hernandez, M (2017).  Primal-dual convex optimization in Large Deformation Diffeomorphic Metric Mapping: LDDMM meets robust regularizers. Physics in Medicine and Biology (PMB), 62 – 23: 9067 – 9098. IF (2017): 2.665, Q2: 27/78 (Category: Engineering, Biomedical) DOI: 10.1088/1361-6560/aa925a.
  10. Hernandez, M (2018). Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping. IEEE Journal of Biomedical and Health informatics, 23(1): 362-373. IF (2018): 4.217, Q1: 6/59 (Category: Mathematical & Computational Biology) DOI: 10.1109/JBHI.2018.2815346.
  11. Hernandez, M (2018). Primal-dual optimization strategies in Huber-L1 optical flow with temporal subspace constraints for non-rigid sequence registration. Image and Vision Computing (IMAVIS), 69: 44 – 67. IF (2018): 2.733, Q1: 23/107 (Category: Computer Science, Software Engineering) DOI: 10.1016/j.imavis.2017.11.005.
  12. Hernandez, M. (2018) Understanding the connections between inexact Newton-Krylov PDE-constrained LDDMM and LDDMM via geodesic shooting and efficient adjoint calculation, Biomedical Journal of Scientific and Technical research, vol. 4 (1), doi.org/10.26717/BJSTR.2018.04.000990. IF: 0.548, Q3.
  13. Hernandez, M (2019). A Comparative Study of Different Variants of Newton--Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Field.  SIAM Journal on Imaging Sciences (SIIMS), 12(2): 1038-1070. IF (2019): 2.313, Q1: 28/261 (Category: Mathematics, Applied) DOI: 10.1137/18M1195310.
  14. Hernandez, M (2019). PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations. Physics in Medicine and Biology (PMB), 64(2). IF (2019): 2.883, Q2: 34/87 (Category: Engineering, Biomedical) DOI: 10.1088/1361-6560/aaf598.
  15. Huang, X., Lutz, L.H., Mayordomo, E., Stull, D. (2021). Asymptotic Divergences and Strong Dichotomy (preliminary acceptance). IEEE Transactions on Information Theory. IF (2019): 3.036, Q2: 54/156 (Category: Computer Science, Information Systems)
  16. Lutz, L.H., Mayordomo, E. (2021). Computing Absolutely Normal Numbers in Nearly Linear Time (preliminary acceptance). Information & Computation. IF (2019): 0.872, Q3 (Categories: Computer science, Theory & Methods; Mathematics, Applied)
  17. Malpica, S., Serrano, A., Allue, M., Bedia, MG., Masia, B. (2019). Crossmodal perception in virtual reality. MULTIMEDIA TOOLS AND APPLICATIONS, 2019. IF (2019): 2.313, Q2: 34/108 (Category: Computer Science, Software Engineering) https://doi.org/10.1007/s11042-019-7331-z
  18. Martín-Navarro, A.,  Gaudioso-Simón, A., Álvarez-Jarreta, J., Montoya, J., Mayordomo, E., Ruiz-Pesini, E. (2017). Machine learning classifier for identification of damaging missense mutations exclusive to human mitochondrial DNA-encoded polypeptides. BMC Bioinformatics, 18(1): 158:1-158:11. IF (2017): 2.213, Q1: 14/59 (Category: Mathematical & Computational Biology) https://doi.org/10.1186/s12859-017-1562-7
  19. Mayordomo, E. (2018). Effective Hausdorff dimension in general metric spaces. Theory of Computing Systems, 62, 1620-1636. IF (2018): 0.603, Q3: 209/314 (Category: Mathematics) https://doi.org/10.1007/s00224-018-9848-3
  20. Zaldivar Pino, A. Bedía, M., Seron, F. (2017). A parsimonious model for locomotor in virtual agents based on dynamical coupling with the environment. COMPUTER ANIMATION AND VIRTUAL WORLDS. 2016. IF (2017): 0.697,  Q4: 91/104 (Category: Computer Science, Software Engineering) https://doi.org/10.1002/cav.1733

International conferences

  1. Aguilera, M., Alquézar, C., Bedia, M.G. (2018). Agency and Integrated Information in a Minimal Sensorimotor Model. In Proceedings of the 2018 Conference on Artificial Life: Beyond AI, A new epistemology for Artificial Life and Complex Systems. Tokyo, Japan, 2018. Vol. 30, pp. 396–403. doi.org/10.1162/isal_a_00077. Core ranking: A
  2. Aguilera, M., Alquézar, C., Izquierdo, E.J. (2017). Signatures of criticality in a maximum entropy model of the C. elegans brain during free behaviour. In Proceedings of the 14th European Conference of Artificial Life. Lyon, France. 2017, Vol. 14, Pages 29-35. ISBN: 978-0-262-34633-7. doi.org/10.7551/ecal_a_010. Core ranking: B
  3. Aguilera, M., Arandia-Romero, I., Heras-Escribano, M. (2019). Quantifying affordances through information theory. The 2019 Conference on Artificial Life, 31, 11-12. https://doi.org/10.1162/isal_a_00136
  4. Aguilera, M., Bedia, M.G. (2017). Criticality as It Could Be: organizational invariance as self-organized criticality in embodied agents. In Proceedings of the 14th European Conference of Artificial Life. Lyon, France. 2017, Vol 29. Pages 21-28 ISBN: 978-0-262-34633-7. doi.org/10.7551/ecal_a_009. Core ranking: B
  5. Aguilera, M., Di Paolo, E. (2018). Integrated Information and Autonomy in the Thermodynamic Limit. In Proceedings of the 2018 Conference on Artificial Life: Beyond AI, A new epistemology for Artificial Life and Complex Systems. Tokyo, Japan, 2018. Vol. 30, pp. 113–120. doi.org/10.1162/isal_a_00030.  Core ranking: A
  6. Arroyave, M., Castillo, LF, Isaza G., Bedia, M. (2019). Interaction Analysis in Asperger Through Virtual Media of Text Communication. Distributed Computing and Artificial Intelligence, Special Sessions, 15th. International Conference. ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. ISBN 978-3-319-99607-3, p. 400-408 https://doi.org/10.1007/978-3-319-99608-0_54
  7. Barceló-Coblijn, L., Palmer-Riera, M., Irurtzun, A., Gomila, A. (2017). Clinical markers from language complexity patterns. WILD 2017: Workshop on Infant Language Development. Basque Center on Cognition, Brain and Language. Bilbao, 15-17 junio 2017. https://www.bcbl.eu/events/wild2017/en/conference/
  8. Barceló-Coblijn, L., Palmer-Riera, M., Irurtzun, A., Gomila, A. (2017). Language complexity patterns. Crossroads in Complex Systems, Palma, 5-8 junio 2017. doi.org/10.13140/RG.2.2.36278.09281.
  9. Barone, P., Larrode, D., Bedia, MG., Gomila, A. (2018). The minimal Turing test: reciprocal contingencies for interaction detection. 26TH CONFERENCE OF THE EUROPEAN SOCIETY FOR PHILOSOPHY AND PSYCHOLOGY (ESPP). Rijeka, Croatia. Fecha: 10-13 Septiembre, 2018
  10. Bedia, M. G., Heras-Escribano, M., Cajal, D., Aguilera, M., Barandiaran, X. E. (2019). Towards modelling social habits: An organismically inspired evolutionary robotics approach. The 2019 Conference on Artificial Life, 31, 341-348. https://doi.org/10.1162/isal_a_00185
  11. García-Magariño, I., Bedia, M., Palacios-Navarro, P. (2018). FAMAP: A Framework for Developing m-Health Apps. In WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies, Napoles, Italia, 27 - 29 Marzo 2018.vol. 745. ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING (pp. 850-859). https://doi.org/10.1007/978-3-319-77703-0_83
  12. Gómez, T., Aguilera, M., Bedia, M.G., Gomila, A. (2017). The statistical thermodynamics of active perception. In Proceedings of the 14th European Conference of Artificial Life. Lyon, France. 2017, Vol. 14, Pages 505-512. ISBN: 978-0-262-34633-7. doi.org/10.7551/ecal_a_082. Core ranking: B
  13. Huang, X., Lutz, L.H., Mayordomo, E., Stull, D. (2020). Asymptotic Divergences and Strong Dichotomy. 37th International Symposium on Theoretical Aspects of Computer Science (STACS 2020), 51:1-51:15. https://doi.org/10.4230/LIPIcs.STACS.2020.51
  14. Huang, X., Lutz, L.H., Mayordomo, E., Stull, D. (2018). Selection, Divergence, and Dichotomy. Thirteenth International Conference on Computability, Complexity and Randomness (CCR 2018).
  15. Lutz, J.H., Mayordomo, E. (2017). Computing Absolutely Normal Numbers in Nearly Linear Time. Continuity, Computability, Constructivity (CCC 2017).
  16. Lutz, J.H., Mayordomo, E. (2019). The Hyperspace Dimension Theorem. Continuity, Computability, Constructivity (CCC 2019). 
  17. Manrique,H., Barbarroja,N., Posada,S., Bedia, M.G. (2018). Dissociating the social and physical aspects of an instrumental task that may influence imitation in autistic children. Proceedings of the 4th International Congress of Clinical and Health Psychology on Children and Adolescents, Palma (Spain). Fecha: 15-17 Nov. 2018, ISBN: 84-217-285-0124-2
  18. Marin, B., Alquezar-Baeta, C., Hernandez, M., Mayordomo, E. (2018). Evolution of GWAS results through ADNI cohorts. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018). DOI: 10.1109/BIBM.2018.8621358.
  19. Mayordomo, E. (2017). Effective exact Hausdorff dimension in general metric spaces. Computability in Europe (CiE 2017). Turku, Finlandia, 2017.
  20. Mayordomo, E. (2017). Effective exact Hausdorff dimension in general metric spaces. New Worlds of Computation 2017 and Journées Calculabilités (NWC 2017). Orleans (Francia), 12-14 abril 2017.
  21. Mayordomo, E. (2018). A point-to-set principle for separable metric spaces. Computability in Europe (CiE 2018). Kiel, Alemania, 2018.
  22. Mayordomo, E. (2017). Effective fractal dimension theory: exploring the extreme cases (minicourse). Workshop on Parametric Complexity, IMS Singapore.
  23. Palmer-Riera, M., Benítez-Burraco, A., Barceló-Coblijn, L. (2017). Linking genes and language in Williams syndrome: an in silico approach. Experimental Psycholinguistics Conference. Menorca (Balearic Islands), 28-30 junio 2017. http://www.psycholinguistics.info/experimental/programexp2017.html
  24. Ramon-Julvez, U., Hernandez, M., Mayordomo, E., ADNI. (2020). Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks. 2020 IEEE International Symposium on Biomedical Imaging (ISBI 2020). DOI: 10.1109/ISBI45749.2020.9098445.

PhD dissertations

  • Molecular phylogenetic analysis: design and implementation of scalable and reliable algorithms and verification of phylogenetic properties, Jorge Álvarez Jarreta, Universidad de Zaragoza, junio 2017. Advisors Elvira Mayordomo and Gregorio de Miguel.

Master's and undergraduate thesis

  1. Castillo, P. (2017). Diagnosis de Alzheimer basada en datos genéticos y de imagen médica, una primera aproximación. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, diciembre 2017.
  2. Marín, B. (2018). Realización de un estudio de asociación genómica en el repositorio público ADNI. Trabajo de fin de máster dirigido por Mónica Hernández y Elvira Mayordomo (ponente Tomás Alcalá). Universidad de Zaragoza, diciembre 2018.
  3. Ramón, U. (2019). Un modelo predictivo basado en deep learning para la caracterización de la evolución de la enfermedad de Alzheimer. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, septiembre de 2019.
  4. Alonso, E. (2020). Un estudio de asociación genómica basado en aprendizaje automático para la caracterización de la enfermedad de Alzheimer. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, julio de 2020.
  5. Solanas, D. (2020). Predicción del diagnóstico de la enfermedad de Alzheimer mediante Deep-learning en imágenes 18F-FDG PET. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, septiembre de 2020.
  6. Ferraz, F. (2020). Estudio de la reproducibilidad e interpretabilidad de los métodos más precisos del TADPOLE Challenge para el diagnóstico y pronóstico de la enfermedad de Alzheimer. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, septiembre de 2020.
  7. Asensio, J. (2020). Asociación de haplotipos mitocondriales con biomarcadores estructurales de MRI para la caracterización de la enfermedad de Alzheimer. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, diciembre de 2020.
  8. Armunia, J. (2021). Selección de características en deep-learning para el análisis de la enfermedad de Alzheimer a partir de imagen y genética. Trabajo de Fin de grado dirigido por Mónica Hernández y Elvira Mayordomo. Universidad de Zaragoza, febrero de 2021.

Outreach activities