Eventos DaSCI

20 February, 2019

09/11/2020
  • Seminario DaSCI - Edwin Simpson

    09/11/2020  4:30 pm - 6:00 pm

    Aggregating Weak Annotations from Crowds

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16/11/2020
  • DaSCI Reading

    16/11/2020  4:30 pm - 5:30 pm

    Title: COVID-19 study based on chest X-rays of patients
    Abstract: COVID-19 is becoming one of the most infectious diseases of the 21st century. Due to the importance of its early detection, new ways to detect it are emerging. In this study, we focus on its detection using chest X-rays, pointing out the main problems of the most used data sets for this purpose. We propose a new data set and a new methodology that allows us to detect cases of COVID-19 with an accuracy of 76.18%, which is higher than the accuracies obtained by experts

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23/11/2020
  • SOMACHINE Machine Learning, Big Data, and Deep Learning in Astronomy

    23/11/2020  3:30 pm - 27/11/2020  11:30 pm

    The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and DaSci and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research. Given the current health emergency this School will be held online.

    We encourage participants to ask questions that relate their problems to those presented in the lectures. There will be time for questions after each lecture. If you have a specific problem and would like it to be discussed in the lectures, then you can send in information/data/a slide (best all of them). In that case, please do this well in advance (3-4 weeks before the school; send to rainer@iaa.es).

     

    Because of the interactive character of the school the number of participants will be limited to 50

    More information: https://www.granadacongresos.com/somachine2020?


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  • DaSCI Lecture

    23/11/2020  4:30 pm - 6:00 pm

    José Daniel Pascual Triana presents AI Ethics encompassing the facets of FATE.

    Title: AI Ethics: encompassing the facets of FATE. Fairness, transparency and auditability.
    Abstract: Artificial Intelligence Ethics is the field that strives to apply the ethical and moral principles of humans to the development and operation of machine learning. This includes, amongst other topics, bias reduction to enforce parity, transparency and model auditing.
    Due to the sheer amount of data that is currently generated and used, as well as the increased awareness of the population and the evolving legislation to keep up with the times, AI Ethics' relevance keeps rising as a means to maintain the trust in the analysis and treatment of data. In this seminar, a taxonomy of AI Ethics will be presented, current techniques to promote it will be shown and the usefulness of several tools for data and model treatment will be discussed.

    The talk will be in Spanish and the link to check the assistance of Ph.D. students will be shared during the seminar.

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24/11/2020
  • SOMACHINE Machine Learning, Big Data, and Deep Learning in Astronomy

    23/11/2020  3:30 pm - 27/11/2020  11:30 pm

    The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and DaSci and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research. Given the current health emergency this School will be held online.

    We encourage participants to ask questions that relate their problems to those presented in the lectures. There will be time for questions after each lecture. If you have a specific problem and would like it to be discussed in the lectures, then you can send in information/data/a slide (best all of them). In that case, please do this well in advance (3-4 weeks before the school; send to rainer@iaa.es).

     

    Because of the interactive character of the school the number of participants will be limited to 50

    More information: https://www.granadacongresos.com/somachine2020?


    Ver más detalles

25/11/2020
  • SOMACHINE Machine Learning, Big Data, and Deep Learning in Astronomy

    23/11/2020  3:30 pm - 27/11/2020  11:30 pm

    The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and DaSci and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research. Given the current health emergency this School will be held online.

    We encourage participants to ask questions that relate their problems to those presented in the lectures. There will be time for questions after each lecture. If you have a specific problem and would like it to be discussed in the lectures, then you can send in information/data/a slide (best all of them). In that case, please do this well in advance (3-4 weeks before the school; send to rainer@iaa.es).

     

    Because of the interactive character of the school the number of participants will be limited to 50

    More information: https://www.granadacongresos.com/somachine2020?


    Ver más detalles

26/11/2020
  • SOMACHINE Machine Learning, Big Data, and Deep Learning in Astronomy

    23/11/2020  3:30 pm - 27/11/2020  11:30 pm

    The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and DaSci and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research. Given the current health emergency this School will be held online.

    We encourage participants to ask questions that relate their problems to those presented in the lectures. There will be time for questions after each lecture. If you have a specific problem and would like it to be discussed in the lectures, then you can send in information/data/a slide (best all of them). In that case, please do this well in advance (3-4 weeks before the school; send to rainer@iaa.es).

     

    Because of the interactive character of the school the number of participants will be limited to 50

    More information: https://www.granadacongresos.com/somachine2020?


    Ver más detalles

27/11/2020
  • SOMACHINE Machine Learning, Big Data, and Deep Learning in Astronomy

    23/11/2020  3:30 pm - 27/11/2020  11:30 pm

    The IAA-CSIC Severo Ochoa School on Machine Learning, Big Data, and Deep Learning in Astronomy (SOMACHINE 2020) will be held at the Instituto de Astrofísica de Andalucía (CSIC), Granada, from Monday 23rd to Friday 27th of November 2020. It is co-organised by the IAA-CSIC and DaSci and is directed at researchers in astrophysics of all levels and aims at providing them with a thorough background in the advanced data processing techniques of Machine Learning, Big Data, and Deep Learning. Classes will be taught by experts from the Andalusian Institute of Data Science and Computational Intelligence (DaSCI) of the University of Granada (UGR), one of the leading research institutes in its field. The theoretical lessons will be complemented by practical hands-on lessons and lectures on applications of Machine Learning, Big Data, and Deep Learning in astrophysical research. Given the current health emergency this School will be held online.

    We encourage participants to ask questions that relate their problems to those presented in the lectures. There will be time for questions after each lecture. If you have a specific problem and would like it to be discussed in the lectures, then you can send in information/data/a slide (best all of them). In that case, please do this well in advance (3-4 weeks before the school; send to rainer@iaa.es).

     

    Because of the interactive character of the school the number of participants will be limited to 50

    More information: https://www.granadacongresos.com/somachine2020?


    Ver más detalles

30/11/2020
  • DaSCI Readings

    30/11/2020  4:30 pm - 5:30 pm

    Cristina Zuheros Montes will present her recently published work on the SA-MpMcDM methodology:

    Title: Sentiment Analysis based Multi-person Multi-criteria Decision Making (SA-MpMcDM) Methodology.

    Abstract: Traditional decision making models are limited by pre-defined numerical and linguistic terms. We present the SA-MpMcDM methodology, which allows experts to evaluate through unlimited natural language and even through numerical ratings. We propose a deep learning model to extract the expert knowledge from the evaluations. We evaluate the methodology in a real case study, which we collect into the TripR-2020 dataset.
    Alberto Castillo Lamas will present his recently published work on MonuMAI:

    Title: MonuMAI: Architectural information extraction of monuments through Deep Learning techniques.
    Abstract: An important part of art history can be discovered through the visual information in monument facades. However, the analysis of this visual information, i.e, morphology and architectural elements, requires high expert knowledge. An automatic system for identifying the architectural style or detecting the architectural elements of a monument based on one image will certainly help improving our knowledge in art and history.

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