European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

We invite submissions of either regular papers (long or short), and extended abstracts.
Regular papers should refer to novel, unpublished work, and they can be either full or short. Full regular papers report on mature research works. Short regular papers include the following three categories:

preliminary/work-in-progress research works;

demo papers;

survey papers.

Extended abstracts should refer to either recently published papers, or position/vision papers.

All the papers must be formatted according to the Springer LNCS style.
Regular papers may be up to 15 pages (full papers) or 8 pages (short papers). Extended abstracts may be up to 4 pages. All page limits are intended EXCLUDING REFERENCES, which may take as many additional pages as preferred.

Every paper should clearly indicate (as a subtitle, or any other clear form) the category it falls into, i.e., "full regular paper", "short regular paper", "extended abstract". As for short regular papers, we also require to provide the subtype, i.e., "short regular paper - preliminary", "short regular paper - demo", "short regular paper - survey". As for extended abstracts, we also require to specify whether it reports on some paper(s) already published and include the corresponding reference(s), i.e., "extended abstract - published work [REFERENCE(S)]", or if it is a position/vision paper, i.e., "extended abstract - position/vision".

Regular papers will be peer-reviewed, and selected on the basis of these reviews. Extended abstracts will not be peer-reviewed: their acceptance will be decided by the program chairs based on the relevance of the topics therein, and the adherence to the workshop scope.

For every accepted paper - both regular papers and extended abstracts - at least one of the authors must attend the workshop to present the work.

Contributions should be submitted in PDF format, electronically, using the workshop submission site.
Specifically, please follow these steps:
1. Log-in to https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/
2. Select the 'Author' role from the drop-down menu in the top bar
3. Click on '+ Create new submission...' button
4. Select 'MIDAS - The 8th Workshop on MIning DAta for financial applicationS'

All the submitted papers must be written in English and formatted according to the ECML-PKDD 2023 submission guidelines available here.