Online, 17-21/05/2021.
The NEANIAS project team will participate in the Virtual conference on Applications of Statistical Methods and Machine Learning at the Space Sciences Institute on May 17 - 21, 2021. Thomas Cecconnello and Cristobal Bordiu will give a talk entitled "Towards a Modern Unsupervised Machine Learning Approach to the Analysis of Astrophysics Images" and Daniel Magro another one entitled "Source detection with Mask-R CNN".
The goal of the conference "Applications of Statistical Methods and Machine Learning in the Space Sciences" is to bring together academia and industry to leverage the advancements in statistics, data science, methods of artificial intelligence (AI) such as machine learning and deep learning, and information theory to improve the analytic models and their predictive capabilities making use of the enormous data in the field of space sciences.
Conceived as a multidisciplinary gathering, this conference welcomes researchers from all disciplines of space science: (solar physics and aeronomy, planetary sciences, geology, exoplanet and astrobiology, galaxies), from the fields of AI, statistics, data science and from industry who make use of statistical analysis and methods of AI. We encourage contributions from a wide range of topics including but not limited to: advanced statistical methods, deep learning and neural networks, times series analysis, Bayesian methods, feature identification and feature extraction, physics-based models combined with machine learning techniques and surrogate models, space weather prediction and other domain topics where AI is applied, model validation and uncertainty quantification, turbulence and non-linear dynamics in space plasma, physics informed neural networks, information theory and data reconstruction and data assimilation.
The conference will be fully virtual, given the pandemic, and will consists of invited and contributed talks, and designated discussion sessions. The conference will be an opportunity for students, young researchers and seniors to enhance their knowledge in the emerging techniques of AI and statistical studies and a platform for future collaborations.
All the details about the event at the Space Science Institute website.