Time series data are becoming ubiquitous in numerous real world applications, e.g., IoT devices, healthcare, wearable devices, smart vehicles, financial markets, biological sciences, environmental sciences, etc. Given the availability of assive amounts of data, their complex underlying structures/distributions, together with the high-performance computing platforms, there is a great demand for developing new
theories and algorithms to tackle fundamental challenges(e.g., representation, classification, prediction, causal analysis, etc.) in various types of applications.
The goal of this workshop is to provide a platform for researchers and AI practitioners from both academia and industry to discuss potential research directions, key technical
issues, and present solutions to tackle related challenges in practical applications. The workshop will focus on both the
theoretical and practical aspects of time series data analysis and aims to trigger research innovations in theories, algorithms, and applications. We will invite researchers and AI
practitioners from the related areas of machine learning, data science, statistics, econometrics, and many others to contribute to this workshop.
This workshop encourages submissions of innovative solutions for a broad range of time series analysis problems. Topics of interest include but are not limited to the following:
Submissions should be 4-7 pages long, excluding references, and follow the AAAI2025 template. Submissions are double-blind and author identity should not be revealed to the reviewers. An optional appendix of arbitrary length is allowed and should be put at the end of the paper (after references).
Accepted papers will be presented as posters during the workshop and listed on the website (non-archival/without proceedings). A small number of accepted papers will be selected to be presented as contributed talks (15-minute oral presentations). We also welcome submissions of unpublished papers, including those submitted/accepted to other venues if that other venue allows.
Submission link: https://cmt3.research.microsoft.com/AI4TS2025
Note: Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Workshop Paper Submission Due Date: December 1st, 2024 December 8th, 2024 (23:59pm AoE)
Notification of Paper Acceptance: December 15th, 2024 December 18th, 2024 (23:59pm AoE)
AAAI AI4TS Workshop Date: March 4th, 2025
Time | Speaker | Title |
---|---|---|
9:00 am - 9:05 am | Opening Remarks | |
9:05 am - 9:45 am | Keynote Talk 1 | |
9:45 am - 10:35 am | Oral Paper 1-5 | |
10:35 am – 10:50 am | Coffee Break | |
10:50 am – 11:30 am | Keynote Talk 2 | |
11:30 am - 12:10 pm | Keynote Talk 3 | |
12:10 pm - 2:00 pm | Lunch Break | |
2:00 pm - 2: 40 pm | Keynote Talk 4 | |
2:40 pm - 3: 20 pm | Keynote Talk 5 | |
3:20 pm - 3:30 pm | Award Ceremony | |
3:30 pm - 3:50 pm | Coffee Break | |
3:50 pm - 4:30 pm | Panel Discussion | |
4:30 pm - 6:00 pm | Poster Session |
Assistant Professor, University of Connecticut
Head of AI Research & Chief Scientist
Squirrel AI Learning
ProfessorGeorgia Institute of Technology
Assistant professorUniversity of Maryland Baltimore County
Head Data Science and System Security Department at NEC Laboratories America
Assistant Professor University of Virginia
ProfessorGriffith University
Associate ProfessorUniversity of Oxford
Managing Director Machine Learning Research at Morgan Stanley