Conferencias/Publicaciones

Conferencias

  • Lourdes Moreno, Paloma Martínez and Rodrigo Alarcon, “Requirements and design patterns for an accessible video conferencing tool“. In Proceedings of the XXII International Conference on Human Computer Interaction (Interacción ’22). Association for Computing Machinery, New York, NY, USA, Article 3, 1–9. https://doi.org/10.1145/3549865.3549894. 2022
  • Onorati, T., Muñoz, C. B., Díaz, P., & Aedo, I. (2022, November). “Exploring the Affordances of Immersive Visualization Spaces: A Use Case About COVID-19”. In Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence UCAmI 2022.
  • Lourdes Moreno, Rodrigo Alarcón, Paloma Martínez Fernández, “Accessibility and readability compliance in Spanish public hospital websites“. 10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI 2022). Lisboa, Portugal. ACM Digital Library, (in press). 2022
  • N. Salor-Búrdalo and A. Gallardo-Antolín, “Respiratory Sound Classification Using an Attention LSTM Model with Mixup Data Augmentation”, Proc. IberSPEECH 2022, 61-65, 2022. DOI: 10.21437/IberSPEECH.2022-13. 2022
  • M. Fakhry, A. Brery and A. Gallardo-Antolín, “Analysis of Heart Sound Signals using Sparse Modeling with Gabor Dictionary”, 24th IEEE International Symposium on Multimedia, 2022.
  • V. Garg, D. Ramírez, and I. Santamaría, “Sparse subspace averaging for order estimation,” in Proc. IEEE Work. Stat. Signal Process., Rio de Janeiro, Brazil, 2021.
  • Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez, “Word-Sense disambiguation system for text readability.” DSAI 2020 (9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion). 2020
  • Renzo Mauricio Rivera Zavala, Paloma Martínez, “Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical Text” Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020). Málaga, Spain. 2020
  • Vargas, A., Díaz, P., & Zarraonandia, T. “Using Virtual Reality and Music in Cognitive Disability Therapy”. In Proceedings of the International Conference on Advanced Visual Interfaces. 2020.
  • Lourdes Moreno, Rodrigo Alarcón, Paloma Martínez, “EASIER system. Language resources for cognitive accessibility.” In Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’20). 2020
  • P. Bonilla-Escribano, D. Ramírez, and A. Artés-Rodríguez, “Modeling phone call durations via switching Poisson processes with applications in mental health”, in Proc. IEEE Int. Work. Machine Learning for Signal Process., 2020.
  • P. Moreno-Muñoz, D. Ramírez, and A. Artés-Rodríguez, “Continual learning for infinite hierarchical change-point detection”, in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., Barcelona, Spain, 2020.
  • Y.-H. Xiao, D. Ramírez, and P. J. Schreier, “A general test for the linear structure of covariance matrices of Gaussian populations”, in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., Barcelona, Spain, 2020.

Publicaciones

  • D. Ramírez, I. Santamaría, L. L. Scharf, and S. V. Vaerenbergh, “Multi-channel factor analysis with common and unique factors”, IEEE Trans. Signal Process., vol. 68, pp. 113–126, 2020.
  • Norbury, A., Liu, S. H., Campaña-Montes, J. J., Romero-Medrano, L., Barrigón, M. L., Smith, E., Artés-Rodríguez, A., Baca-García, Perez-Rodriguez, M. M. (2020). “Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients.” Molecular Psychiatry, 1–11. https://doi.org/10.1038/s41380-020-00963-5
  • Peis, I., López-Moríñigo, J.-D., Pérez-Rodríguez, M. M., Barrigón, M.-L., Ruiz-Gómez, M., Artés-Rodríguez, A., & Baca-García, E. (2020). “Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge.” Scientific Reports, 10(1).
  • A. Vázquez and A. Gallardo-Antolín, “Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks”, Entropy, 22(6), 688, 2020. DOI: 10.3390/e22060688.
  • M. Fernández-Díaz and A. Gallardo-Antolín, “An Attention Long Short-Term Memory Based System for Automatic Classification of Speech Intelligibility”, Engineering Applications of AI, vol. 96, 103976, 2020. DOI: 10.1016/j.engappai.2020.103976.
  • M. Fernández-Torres, I. González-Díaz and F. Díaz-de-María, “Probabilistic Topic Model for Context-Driven Visual Attention Understanding“, IEEE Transactions on CSVT, vol. 30, no. 6, pp. 1653-1667, 2020
  • Liliya Akhtyamova, Paloma Martínez Fernández, Karin Verspoor, John Cardiff. (2020). “Testing Contextualized Word Embeddings to Improve NER in Spanish Clinical Case Narratives.” IEEE Access. 8, 164717-164726. IEEE. 2020, 10.1109/ACCESS.2020.3018688.
  • Rivera Zavala R, Martinez P. “The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study” JMIR Med Inform 2020;8(12):e18953.
  • Díaz, P., & Aedo, I. “Combining software engineering and design thinking practices in the ideation process of augmented digital experiences” Interacting with Computers, 32(3), 279-295. 2020.
  • J. Martínez-Cebrián, M. -Á. Fernández-Torres and F. Díaz-De-María, “Interpretable Global-Local Dynamics for the Prediction of Eye Fixations in Autonomous Driving Scenarios“, IEEE Access, vol. 8, pp. 217068-217085, 2020, doi: 10.1109/ACCESS.2020.3041606.
  • Sükei, E., Norbury, A., Perez-Rodriguez, M. M., Olmos, P. M., & Artés, A. (2021). “Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach.” JMIR mHealth and uHealth, 9(3), e24465.
  • Romero-Medrano, L., Moreno-Muñoz, P., & Artés-Rodríguez, A. (2021). “Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection.” Journal of Signal Processing Systems, 1–13.
  • Moreno-Muñoz, P., Artés-Rodríguez, A., & Álvarez, M. A. (2021). “Modular Gaussian Processes for Transfer Learning.” Advances in Neural Information Processing Systems, 34, 24730–24740.
  • Ryu, J., Sükei, E., Norbury, A., Liu, S. H., Campaña-Montes, J. J., Baca-Garcia, E., Artés, A., & Perez-Rodriguez, M. M. (2021). “Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study.” JMIR Mental Health, 8(9)
  • A. Gallardo-Antolín, J. M. Montero, “Detecting Deception from Gaze and Speech using a Multimodal Attention LSTM-based Framework”, Applied Sciences 11 (14), 6393, 2021. DOI: 10.3390/app11146393.
  • A. Gallardo-Antolín, J. M. Montero, “On Combining Acoustic and Modulation Spectrograms in an Attention LSTM-based System for Speech Intelligibility Level Classification”, Neurocomputing 456, 49-60, 2021. DOI: 10.1016/j.neucom.2021.05.065.
  • T. Martínez-Cortés, I. González-Díaz and F. Díaz-de-María, “Training deep retrieval models with noisy datasets: Bag exponential loss”, Pattern Recognition, Vol. 112, 2021. DOI: https://doi.org/10.1016/j.patcog.2020.107811.
  • D. Ramírez, A. G. Marques, and S. Segarra, “Graph-signal reconstruction and blind deconvolution for structured inputs”, Signal Process. (Special issue on Processing and Learning over Graphs), vol. 188, p. 108180, 2021.
  • P. Moreno-Muñoz, D. Ramírez, and A. Artés-Rodríguez, “Change-point detection in hierarchical circadian models”, Pattern Recognition, vol. 113, p. 107820, 2021.
  • P. Bonilla-Escribano, D. Ramírez, A. Porras-Segovia, and A. Artés-Rodríguez, “Assessment of variability in irregularly sampled time series: Applications to mental healthcare”, Mathematics (Special issue on Recent Advances in Data Science), vol. 9, no. 1, 2021.
  • Escudero-Vilaplana, V., Romero-Medrano, L., Villanueva-Bueno, C., Diago, M. R. de, Yánez-Montesdeoca, A., Collado-Borrell, R., Campaña-Montes, J. J., Marzal-Alfaro, B., Revuelta-Herrero, J. L., Calles, A., Galera, M., Álvarez, R., Herranz, A., Sanjurjo, M., & Artés-Rodríguez, A. (2022). “Smartphone-Based Ecological Momentary Assessment for the Measurement of the Performance Status and Health-Related Quality of Life in Cancer Patients Under Systemic Anticancer Therapies: Development and Acceptability of a Mobile App.” Frontiers in Oncology, 12, 880430.
  • Romero-Medrano, L., & Artés-Rodríguez, A. (2022). “Multi-Source Change-Point Detection over Local Observation Models.” Pattern Recognition, 109116.
  • Barrejón, D., Olmos, P. M., & Artés-Rodríguez, A. (2022). “Medical Data Wrangling With Sequential Variational Autoencoders.” IEEE Journal of Biomedical and Health Informatics, 26(6), 2737–2745.
  • G. Crainiciuc, M. Palomino-Segura, J. Sicilia, J. Li, J. Adrover, A. Aroca-Crevillén, S. Martín-Salamanca, A. Serrano del Valle, F. Sanchez-Cabo, M. Molina-Moreno, I. Gonzalez-Diaz, F. Diaz-de-Maria, M. Graupera, S. Castillo, H. Welch, D. Aragones, G. Calvo, O. Soehnlein, A. Zarbock, T. Smithgall, L. Guan Ng, P.-L. Tharaux, S. Gonzalez, R. Madurga, A. Ayuso-Sacido, T. Mempel, M. di Pilato, “Behavioral immune landscapes of inflammation”. Nature 601, 415–421 (2022). https://doi.org/10.1038/s41586-021-04263-y.
  • M. Molina-Moreno, I. González-Díaz, J. Sicilia, G. Crainiciuc, M. Palomino-Segura, A. Hidalgo, F. Díaz-de-María, “ACME: Automatic feature extraction for Cell Migration Examination through intravital microscopy imaging”, Medical Image Analysis, Vol. 77, 2022. DOI:  10.1016/j.media.2022.102358.
  • J. López-Labraca, I. González-Díaz, F. Díaz-de-María, A. Fueyo-Casado, “An interpretable CNN-based CAD system for skin lesion diagnosis”, Artificial Intelligence in Medicine, Vol.132, 2022, 102370, https://doi.org/10.1016/j.artmed.2022.102370.
  • Rodrigo Alarcon, Lourdes Moreno, Paloma Martínez & José A. Macías (2022) “EASIER System. Evaluating a Spanish Lexical Simplification Proposal with People with Cognitive Impairments“, International Journal of Human–Computer Interaction, DOI: 10.1080/10447318.2022.2134074. 
  • Lourdes Moreno, Helen Petrie, Rodrigo Alarcon and  Paloma Martínez. 2023. “Designing user interfaces for content simplification aimed at people with cognitive impairments“.  Universal Access in the Information Society  (in press)
  • Lourdes Moreno, Paloma Martínez, and Rodrigo Alarcon. 2023. “Tuning BART models to simplify Spanish health-related content”. Revista Procesamiento del Lenguaje Natural, Num 70  (in press).
  • Bonilla-Escribano, P., Ramírez, D., Baca-García, E. et al. “Multidimensional variability in ecological assessments predicts two clusters of suicidal patients“. Sci Rep 13, 3546 (2023). https://doi.org/10.1038/s41598-023-30085-1
  • Peis, I., Olmos, P. M., & Artés-Rodríguez, A. (2023). “Unsupervised learning of global factors in deep generative models.” Pattern Recognition, 134, 109130.
  • Aguilera, A. C., Olmos, P. M., Artés-Rodríguez, A., & Pérez-Cruz, F. (2023). “Regularizing transformers with deep probabilistic layers.” Neural Networks.
  • Rodrigo Alarcon, Lourdes Moreno and Paloma Martínez. 2023. “EASIER corpus: A lexical simplification resource for people with cognitive impairments”. PLOS One. 1932-6203

En preparación

  • M. Molina-Moreno, I. González-Díaz, R. Mikut, F. Díaz-de-María, “A self-supervised embedding of cell migration features for behavior discovery over cell populations”, Submitted to Artificial Intelligence in Medicine (Dec. 2022).
  • M. Mahdi Dehshibi, T. Olugbade, F. Diaz-de-Maria, N. Bianchi-Berthouze, A. Tajadura-Jiménez, “Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs”, Submitted to IEEE Journal of Selected Topics in Signal Processing (Dec. 2022).
  • M. Molina-Moreno, I. González-Díaz, M. Rivera Gorrín, V. Burguera Vion, F. Díaz-de-María, “URI-CADS: A Fully Automated Computer Aided Diagnosis System for Ultrasound Renal Imaging”. Submitted to IEEE Transactions on Medical Imaging (Feb 2023).
  • E. Pla Sacristán, I. González-Díaz, “SynFlex : A generative model for benchmarking density-based clustering”. (to be submitted in Feb 2023).
  • E. Menendez Salvador, S. Abal Fernando, S. Martinez de la Casa, I. González Díaz, “Anticipative robotics improve cooperation in HRI”, 2023
  • M. Fakhry and A. Gallardo-Antolín, “Variational Mode Decomposition and a Light CNN_LSTM Model for Classification of Heart Sound Signals”, 2023.
  • Areej Mustafa Jaber, Paloma Martínez. “A survey of deep learning methods to disambiguate clinical abbreviations”. Submitted to Heliyon journal. 
  • Onorati, T., Díaz, P., Montero, A., Sin-Diaz, P., & Aedo, I. (in progress) ”Designing and evaluating AR experiences for people with dementia”. Submitted to the CHItaly Conference.
  • Onorati, T., Castro-González, A., Díaz, P. “A methodology for personalized dialogues between social robots and users based on social media”. TO APPEAR in Proceedings of The 25th International Conference on Human-Computer Interaction (HCII 2023).
  • Elvira Martín, L.,  Onorati, T., Díaz, P., “DataWave: a Visual Tool for Generating Domain-oriented Knowledge Models”. Submitted to Interact 2023
  • Lourdes Moreno and Paloma Martínez. 2023. “DailyCare application for organizing daily tasks for people with dementia.” Submitted to XXIII Congreso Internacional de Interacción Persona-Ordenador(Interacción 2023). (The paper will be available at ACM Digital Library)
  • Barbara Barbara Corsetti, Raquel Hervás and Lourdes Moreno. 2023. “Adapting the Empathy Map to Design Systems for Users with Cognitive Impairments.” Submitted to 19th International Conference of Technical Committee 13 (Human- Computer Interaction) – Interact 2023