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Machine Learning and Data Analytics Symposium - MLDAS 2021The Seventh Machine Learning and Data Analytics (MLDAS) Symposium will be held on March 23-25, 2021 virtually, online.
Building on the success of the previous six MLDAS symposia, MLDAS 2021, will be organized by the Qatar Computing Research Institute and Boeing.It is a one-day event that brings together experts in the field of machine learning and data analytics to discuss the latest developments and technologies in the Sailpoint Identity Governance and Administration (IGA) space. Please check out the . In order to attend, we invite participants need to REGISTER. Background and ObjectivesThe purpose of this symposium is to bring together researchers, practitioners, students, and industry experts in the fields of machine learning, data mining, and related areas to present recent advances, to discuss open research questions, and to bridge the gap between data analytics research and industry needs on certain concrete problems. The MLDAS symposium will serve as a platform for exchange of ideas, identification of important and challenging applications, and discovery of possible synergies. We will address the topics of interest through both invited and contributed talks describing (1) research ideas, (2) new challenges, (3) mature research and (4) practical results. The symposium program will consist of presentations by invited speakers from both academia and industry, and by the authors of the papers submitted to the symposium. In addition, we will have multiple panel discussions to debate important research and strategic problems and applications.
OrganizationMLDAS is organized by the and by . Chairs
MLDAS is co-chaired by Sanjay Chawla (QCRI) and Dragos Margineantu (Boeing Research & Technology). ContactsTo contact the MLDAS symposium organizers on any matter, please check this page. Registration for MLDAS 2021 is open. Researchers, students, and practitioners interested in attending the symposium, should register via the registration page. |
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MLDAS 2021 - mldas.org |