grupo de supervisión y diagnóstico de procesos industriales
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Visual Analytics Tools Tools for the Study of Complex Problems in Engineering and Biomedicine

Project data

Call National R+D Program for Knowledge Generation
(Proyectos I+D Generación de Conocimiento)
Reference PID2020-115401GB-I00
Title Visual Analytics Tools Tools for the Study of Complex Problems in Engineering and Biomedicine (AVIB)
Duration 1/9/2021 - 31/08/2024
Project abstract

Nowadays many important problems for society in the fields of engineering (energy efficiency, process monitoring) and biomedicine (epidemiological studies, clinical studies, genomic analysis) involve a high volume of data, a large number of variables and a high complexity, with many factors involved in their behavior and in which elements from various domains (technological, socioeconomic, biomedical) often interact in a strongly coupled manner. In this type of problems, often the approach itself, the initial data and the questions to be solved are not clear. Machine learning algorithms, despite achieving unprecedented accuracies in recent years, require a defined approach, are prone to failure when faced with changes in context, and are often "black box" models. Humans, on the other hand, although less precise, can work with poorly defined problems, adapt to changing contexts, find connections and improve knowledge through an iterative and exploratory process. None of these approaches alone can properly address these problems. This project proposes to investigate an approach based on the interaction between humans and machine learning algorithms, which allows to combine the advantages of both for the study of complex problems. For this purpose we will develop techniques and tools for visual analysis that integrate mechanisms of fluid interaction, data visualization and machine learning algorithms. The potential synergies between these three elements will be the central object of research in the project, seeking to achieve an exploratory and iterative analysis process led by the user, allowing him to couple it with his domain knowledge and internalize the conclusions and results. Finally, research will be conducted on the adequacy of tools for the study of real problems, through their application and evaluation in engineering and biomedical problems in which the proponent group has previous experience.

Recent activity

📢 = dissemination/event, 📚 = scientific publication, 🎤 = congress/conference/symposium

2023-06-17 📚 Published paper in Frontiers in Endocrinology, analyzed 6 miRNA that differentiate peripancreatic paragangliomas from pancreatic neuroendocrine tumors, thanks to a relevant difference pattern between the gene and miRNA expressions for a group of samples in the TCGA database. (Enguita et al. 2023)
2023-06-15 📢 Workshop organized by the PI's of the project "Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine (VAA-CP-EB)" within the conference in León 19th International Conference on Artificial Intelligence Applications and Innovations (AIAI/EANN). Five papers were presented in the workshop, one of them presenting the project and results achieved to the moment, and others including results in visual analytics of time series, cell motility analysis conditioned autoencoders for energy disaggregation and explainable AI in medical image analysis.
2023-04-10 📚 Published (online "Early Bird" version) a paper in IEEE Journal of Biomedical and Health Informatics, about a novel technique for the analysis of the gene expression matrix Based on dual conditional dimensionality reduction. (Díaz et al. 2023)
2022-11-15 📢 "Control Metabólico 2017-2019" at I Jornadas Multidisciplinares de Endocrinología y Nutrición de Gijón (we participated in the study with data analytics of >80k diabetic patients from Principado de Asturias) [Program], [link to ISPA]
2022-11-12 📢 Presentation of the Morphing Projections technique for visual analytics of genomic data in neuroendocrine oncology [video of the talk] [Programa], [link to ISPA], [El Comercio], [La Nueva España], [slides (pptx)], [video explaining the Morphing Projections technique]
2022-06-17 🎤 Presented a technique for the generation of a visual map of timeseries based on ESN (Díaz et al. 2022)
2022-06-17 📚 Published a biomedical paper, where we contribute with our visual analytics technique Morphing Projections to a cancer study (Celada et al. 2022)
2022-05-24 📚 Published a paper about anomaly detection for generation of health indicators (González et al. 2022, "Health indicator ...")
2022-04-02 📚 Published a paper about anomaly detection with generation of interpretable residuals (González et al. 2022 "Two step residual ...")
2021-09-24 📢 Seminar presentation of the Visual Analytics approach for the analysis of data in predictive maintenance, in the Encuentro Field Digital Lab y Grupos de Investigación of UniOvi, organized by IDEPA (→ pdf slides).
2021-09-01 Project start.

📄 Publications

📄 Journals (JCR)

📢 Conferences