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MACHINE LEARNING
SIGNAL PROCESSING
DATA SCIENCE
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About |
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The 2021 IEEE Data Science & Learning Workshop (DSLW 2021), to be co-located with ICASSP 2021, will be held at the University of Toronto on June 05-06, 2021. The workshop is organized by the IEEE Signal Processing Society (supported by the SPS Data Science Initiative). It aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science and learning theory and applications. The workshop provides a venue for innovative data science & learning studies in various academic disciplines, including signal processing, statistics, machine learning, data mining and computer vision. Both studies on theoretical and methodological foundations and application studies in different domains (e.g., health care, earth and environmental science, applied physics, finance and economics, intelligent manufacturing) are welcome. |
Call for Papers |
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Papers are solicited in, but not limited to, the following areas:
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Summary |
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IEEE DSLW 2021 : IEEE Data Science and Learning Workshop will take place in Toronto, Canada. It’s a 2 days event starting on Jun 05, 2021 (Saturday) and will be winded up on Jun 06, 2021 (Sunday). IEEE DSLW 2021 falls under the following areas: MACHINE LEARNING, SIGNAL PROCESSING, DATA SCIENCE, etc. Submissions for this Workshop can be made by Oct 15, 2020. Authors can expect the result of submission by Feb 15, 2021. Upon acceptance, authors should submit the final version of the manuscript on or before Mar 05, 2021 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the IEEE DSLW 2021
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Credits and Sources |
| [1] IEEE DSLW 2021 : IEEE Data Science and Learning Workshop |
