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MIDAS 2023 : MIDAS workshop @ECML-PKDD 2023 - 8th Workshop on MIning DAta for financial applicationS

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Link: http://midas.portici.enea.it/
 
When Sep 22, 2023 - Sep 22, 2023
Where Turin, Italy
Abstract Registration Due Jun 23, 2023
Submission Deadline Jun 28, 2023
Notification Due Jul 12, 2023
Final Version Due Jul 23, 2023
Categories    data mining   machine learning   finance
 

Call For Papers

================================================================================
MIDAS
The 8th Workshop on MIning DAta for financial applicationS
September 22, 2023 - Turin, Italy
http://midas.portici.enea.it

co-located with

ECML-PKDD 2023
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
September 18-22, 2023 - Turin, Italy
https://2023.ecmlpkdd.org/
================================================================================

OVERVIEW
--------
We invite submissions to the 8th MIDAS Workshop on MIning DAta for financial applicationS, to
be held in conjunction with ECML-PKDD 2023 - European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery.

Like the famous King Midas, popularly remembered in Greek mythology for his ability to turn
everything he touched with his hand into gold, we believe that the wealth of data generated by
modern technologies, with widespread presence of computers, users and media connected by
Internet, is a goldmine for tackling a variety of problems in the financial domain.

The MIDAS workshop is aimed at discussing challenges, opportunities, and applications of
leveraging data-mining and machine-learning tasks to tackle problems in the financial domain.
The workshop provides a premier forum for sharing findings, knowledge, insights, experience
and lessons learned from mining and learning data generated in various application domains.
The intrinsic interdisciplinary nature of the workshop constitutes an invaluable opportunity to
promote interaction between computer scientists, physicists, mathematicians, economists and
financial analysts, thus paving the way for an exciting and stimulating environment involving
researchers and practitioners from different areas.


TOPICS OF INTEREST
------------------
We encourage submission of papers on the area of data mining and machine learning for financial applications. Topics
of interest include, but are not limited to:
- trading models
- discovering market trends
- predictive analytics for financial services
- network analytics in finance
- planning investment strategies
- portfolio management
- understanding and managing financial risk
- customer/investor profiling
- identifying expert investors
- financial modeling
- anomaly detection in financial data
- fraud detection
- anti-money laundering
- discovering patterns and correlations in financial data
- text mining and NLP for financial applications
- sentiment and opinion analysis for finance
- financial network analysis
- financial time series analysis
- pitfalls identification
- financial knowledge graphs
- learning paradigms in the financial domain
- explainable AI in financial services
- fairness in financial data mining
- quantum computing for finance
- generative models for synthetic data
- large language models in finance


FORMAT
------
The ECML-PKDD 2023 conference -- and all its satellite events, including the MIDAS workshop -- will adopt a "hybrid" format, with both in-person and remote attendance allowed.
However, in order to maximize engagement and physical presence at the conference, remote attendance -- with the associated remote registration fee -- is considered an option for non-presenting attendees only.
More in concrete, this means that:
- At least one author of each paper accepted for presentation at MIDAS must have a full conference registration and present the paper in person. Papers without a full registration or in-presence presentation won't be included in the post-workshop Springer proceedings.
- The workshop will also have a streaming service to allow non-presenting attendees to attend the workshop remotely.


SUBMISSION GUIDELINES
---------------------
We invite submissions of either REGULAR PAPERS (full 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
(https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).
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 at https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/.
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 at
https://2023.ecmlpkdd.org/submissions/research-and-ads-tracks/.


PROCEEDINGS
-----------
Accepted papers will be part of the ECML-PKDD 2023 workshop post-proceedings, which will
be likely published as a Springer CCIS volume, jointly with other ECML-PKDD 2023 workshops
(this is what happened in the last years).

Regular papers will be included in the proceedings by default. As for extended abstracts, it will be given the authors the chance of either including or not their contribution in the proceedings.

The proceedings of the past three editions of the workshop are available here:
- https://doi.org/10.1007/978-3-031-23618-1 and
https://doi.org/10.1007/978-3-031-23633-4 (2022)
- https://link.springer.com/book/10.1007/978-3-030-93736-2 and
https://link.springer.com/book/10.1007/978-3-030-93733-1 (2021)
- https://www.springer.com/it/book/9783030669805 (2020)


IMPORTANT DATES (11:59pm AoE time)
---------------------------------------------
Abstract Submission deadline: June 23, 2023
Paper Submission deadline: June 28, 2023
Acceptance notification: July 12, 2023
Camera-ready deadline: July 23, 2023
Workshop date: September 22, 2023


INVITED SPEAKER(S)
------------------
TBA


PROGRAM COMMITTEE
-----------------
TBD


ORGANIZERS
----------
Ilaria Bordino, UniCredit, Italy (ilaria.bordino@unicredit.eu)
Ivan Luciano Danesi, UniCredit, Italy (ivanluciano.danesi@unicredit.eu)
Francesco Gullo, UniCredit, Italy (gullof@acm.org)
Giovanni Ponti, ENEA, Italy (giovanni.ponti@enea.it)
Lorenzo Severini, UniCredit, Italy (lorenzo.severini@unicredit.eu)

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