CFP: AI4TS: AI for Time Series Analysis: Theory, Algorithms, and Applications - IJCAI 2022 workshop
Dongjin Song
Call for Paper: AI4TS: AI for Time Series Analysis: Theory, Algorithms, and Applications - IJCAI 2022 Workshop
July 23-25, 2022, Vienna, Austria
Workshop Website: https://ai4ts.github.io/
Submission Link: https://cmt3.research.microsoft.com/AI4TS2022/
Submission Due: May 13, 2022, 11:59pm Central European Time (CET), UTC +1 (Paris, Brussels, Vienna)
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 massive 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 some 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 issues 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 on 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.
Papers should be submitted to CMT via: https://cmt3.research.microsoft.com/AI4TS2022/
Deadline: May 13, 2022, 11:59pm Central European Time (CET), UTC +1 (Paris, Brussels, Vienna)
Call for Submissions:
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:
● Time series prediction
● Classification and clustering
● Anomaly detection and diagnosis/change point detection
● Similarity search
● Time series indexing
● Pattern discovery
● Interpretation and explanation
● Bias and fairness
● Causal inference
● Spatio-temporal prediction
● Predictive maintenance
● Healthcare
● Fintech
● Traffic analysis
● Weather forecasting
● Internet of things
● Machine learning
● Data Mining
● Artificial Intelligence
● AI-inspired approaches for time series similarity search
● Experimental evaluation and comparison of AI and traditional techniques
● Benchmarks for time series analysis tasks
Important Dates:
May 13, 2022: Workshop Paper Submission
June 3, 2022: Notification of Paper Acceptance
June 17, 2022: Camera-ready Paper Due
July 23-25, 2022: IJCAI 2022 Workshops
Note: all deadlines are Central European Time (CET), UTC +1, Paris, Brussels, Vienna.
Submission Guidelines:
Paper submissions should be 4-6 pages long, excluding references, and follow the IJCAI-22 template. Submissions are single-blind and author identity will be revealed to reviewers. An optional appendix of arbitrary length is allowed and should be put at the end of the paper. Accepted papers will be posted on the workshop webpage and presented as full or poster presentations in the workshop.
Organizing Committee:
Dongjin Song, (University of Connecticut)
Fenglong Ma, Pennsylvania State University
Sanjay Purushotham, University of Maryland Baltimore County.
Themis Palpanas, Université Paris Cité & French University Institute (IUF)
Wei Cheng, NEC Labs America
Yifeng Gao, University of Texas Rio Grande Valley
Yufei Han, INRIA France