Submission Deadline: 11 October 2024 23:59 AOE
Notification of Acceptance: 18 October 2024 23:59 AOE
Camera-Ready Submission: 5 November 2024 23:59 AOE
Workshop Date: 15 November 2024
This workshop will delve into the recent advancements and future directions in foundation models for time series analysis, emphasizing their applications in financial services. The scope includes AI techniques like deep learning and advanced statistical methods, aiming to enhance forecasting accuracy, adapt to dynamic data landscapes, and address the computational and ethical challenges associated with these models.
Advances in foundation models for time series forecasting, prediction anomaly detection, and classification.
Financial forecasting, risk management, and algorithmic trading applications.
Deployment challenges in real-world scenarios.
Interpretability and explainability in time series analysis.
Novel datasets and benchmarks for foundation models.
Cross-disciplinary approaches integrating finance, statistics, and AI.
Submissions should be 4-6 pages in length, excluding references and appendices.
Papers must be formatted according to the main conference template: www.acm.org/publications/proceedings-template (sigconf template in double-column format).
All submissions will be peer-reviewed, judged on originality, technical correctness, relevance, and quality of presentation.
Accepted papers will not have archival proceedings, but will be displayed on the workshop website.
Papers should be submitted through the workshop’s online submission system.