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  • Santos, M., Muñoz, R., Olivares, R., Pedrosa, P., del Ser, J. & de Albuquerque, V. H. (2020). Online Heart Monitoring Systems on the Internet of Health Things Environments: A Survey, a Reference Model and an Outlook. Information Fusion, . [More] [Digital version]


  • Cornide-Reyes, H., Noël, R., Riquelme, F., Gajardo, M., Cechinel, C., Lean, R. M. et al. (2019). Introducing Low-Cost Sensors into the Classroom Settings: Improving the Assessment in Agile Practices with Multimodal Learning Analytics. Sensors, . [More] [Digital version]
  • Armbrecht, G., Ritter, Z., Felsenberg, D., Raum, K., Minonzio, J. G., Ramiandriosa, D. et al. (2019). In Vivo Measurements of Cortical Thickness and Porosity at the Proximal Third of the Tibia Using Guided Waves: Comparison with Site-Matched Peripheral Quantitative Computed Tomography and Distal High-Resolution Peripheral Quantitative Computed Tomography. , . [More] [Digital version]
  • Minonzio, J. G., Bochud, N., Vallet, Q., Ramiandriosa, D., Etcheto, A., Briot, K. et al. (2019). Ultrasound-based estimates of cortical bone thickness and porosity are associated with non-traumatic fractures in postmenopausal woman: A pilot study. , . [More] [Digital version]
  • Demongeot, J., Jelassi, M. & Taramasco, C. (2019). Big Data Approach for Managing the Information from Genomics, Proteomics, and Wireless Sensing in Ehealth. , . [More] [Digital version]
  • Riquelme, F (2019). Contribuciones y limitaciones del big data al análisis de contenido en prensa. [More]
  • Riquelme, F (2019). Twitter applications and types of relevant users. [More]
  • Molinero, X., Riquelme, F. & Serna, M. (2019). Measuring satisfaction and power in influence based decision systems. , . [More] [Digital version]
  • Riquelme, F., Muñoz, R., Lean, R. M., Villarroel, R., Albuquerque, V. H. & Barcelos, T. (2019). Using multimodal learning analytics to study collaboration on discussion groups: A social network approach. , . [More] [Digital version]
  • Muñoz, R., Morales, C., Villarroel, R., Quezada, A. & de Albuquerque, V. H. (2019). Developing a Software That Supports theImprovement of the Theory of Mind in ChildrenWith Autism Spectrum Disorder. IEEE Access, . [More] [Digital version]
  • da Costa, K., Papa, J., Lisboa, C., Muñoz, R. & de Albuquerque, V. H. (2019). Internet of Things: A Survey on Machine Learning-based Intrusion Detection Approaches. Computer Networks, . [More] [Digital version]
  • Oliveira, J., Muñoz, R., Ribeiro, S., Wu, W. & de Albuquerque, V. H. (2019). REHAB FUN: an assistive technology in neurological motor disorders rehabilitation of children with cerebral palsy. , . [More] [Digital version]
  • Bernardo, L., Quezada, A., Muñoz, R., Martins, F., Pereira, C. R., Wu, W. et al. (2019). Handwritten Pattern Recognition for Early Parkinson’s Disease Diagnosis. Pattern Recognition Letters, . [More] [Digital version]
  • Taramasco, C., Olivares, R., Muñoz, R., Soto, R., Villar, M. & de Albuquerque, V. H. (2019). The patient bed assignment problem solved by autonomous bat algorithm. Applied Soft Computing, . [More] [Digital version]
  • Riquelme, F., González-Cantergiani, P., Hans, D., Villarroel, R. & Muñoz, R. (2019). Identifying opinion leaders on social networks through milestones definition. IEEE Access, . [More] [Digital version]
  • Souza, A., Barcelos, T. S., Muñoz, R., Villarroel, R. & Silva, L. (2019). Data Mining Framework to Analyze the Evolution of Computational Thinking Skills in Game Building Workshops. IEEE Access, . [More] [Digital version]
  • Roque, F., Cechinel, C., Weber, T., Lemos, R., Villarroel, R., Miranda, D. et al. (2019). Using Depth Cameras to Detect Patterns in Oral Presentations: A Case Study Comparing Two Generations of Computer Engineering Students. Sensors, . [More] [Digital version]


  • Xu, K., Laugier, P. & Minonzio, J. G. (2018). Dispersive Radon Transform. , . [More] [Digital version]
  • Carvajal, D., Minonzio, J. G., Casanga, E. & Muñoz, J. (2018). Roof.integrated dew water harvesting in Combarbalá, Chile. , . [More] [Digital version]
  • Minonzio, J. G., Bochud, N., Vallet, Q. & Bala, Y. (2018). Bone cortical thickness and porosity assessment using ultrasound guided waves: An ex vivo validation study. , . [More] [Digital version]
  • Taramasco, C., Rodenas, T., Martínez, F., Fuentes, P., Muñoz, R., Olivares, R. et al. (2018). Novel Monitoring System for Fall Detection in Older People. , . [More] [Digital version]
  • Taramasco, C., Rodenas, T., Martínez, F., Fuentes, P., Muñoz, R., Olivares, R. et al. (2018). A Novel Low-Cost Sensor Prototype for Nocturia Monitoring in Older People. , . [More] [Digital version]
  • Demongeot, J., Istrate, D., Khalifi, H., Mérget, L., Taramasco, C. & Thomas, R. (2018). From conservative to dissipative non-linear differential systems. , . [More]
  • Soto, R., Crawford, B., Olivares, R., Taramasco, C., Figueroa, I., Gómez, A. et al. (2018). Adaptive Black Hole Algorithm for solving the Set Covering Problem». , . [More] [Digital version]
  • Muñoz, R., Olivares, R., Taramasco, C., Villarroel, R., Soto, R., Merino, E. et al. (2018). Using Black Hole Algorithm to improve EEG-based Emotion Recognition. , . [More] [Digital version]
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