posted by organizer: nsimidjeievski || 135444 views || tracked by 328 users: [display]

ECML-PKDD 2017 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery

FacebookTwitterLinkedInGoogle

Link: http://ecmlpkdd2017.org
 
When Sep 19, 2017 - Sep 23, 2017
Where Skopje, Macedonia
Abstract Registration Due Apr 13, 2017
Submission Deadline Apr 20, 2017
Notification Due Jun 22, 2017
Final Version Due Jul 6, 2017
Categories    machine learning   data mining   knowledge discovery
 

Call For Papers

Submissions are solicited for the 2017 edition of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017). The conference provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning and knowledge discovery in databases and other innovative application domains. The 2017 conference will take place in Skopje, Macedonia, 18‐22 September 2017.

Submissions are invited on all aspects of machine learning, knowledge discovery and data mining, including real-world applications. Following the tradition of ECML-PKDD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, quality of presentation and reproducibility of experiments.

Submission process

Electronic submissions will be handled via CMT at the following address: https://cmt.research.microsoft.com/ECMLPKDD2017/. Please note that user accounts in each CMT conference are independent of other conferences, so you will need to create a new account.

Abstracts need to be registered by Thursday April 13, 2017 and full submissions will be accepted until Thursday April 20, 2017.

Papers must be written in English and formatted according to the Springer LNAI guidelines. Author instructions, style files and copyright form can be downloaded at: http://www.springer.de/comp/lncs/authors.html.

The maximum length of papers is 16 pages in this format. Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength).

Up to 10 MB of additional materials (e.g. proofs, audio, images, video, data or source code) can be attached to the submission. Note that the reviewers and the program committee reserve the right to judge the paper solely on the basis of the 16 pages of the paper; looking at any additional material is up to the discretion of the reviewers and is not required.

Reviewing process

The review process is single-blind (authors identities known to reviewers). Submissions will be evaluated on the basis of technical quality, novelty, potential impact, and clarity. Authors will have the opportunity to point out factual errors, obvious mistakes, or misconceptions by reviewers during a rebuttal phase following the release of initial reviews.

Dual submissions policy

Papers submitted should report original work. ECML-PKDD 2017 will not accept any paper that, at the time of submission, is under review or has already been accepted for publication in a journal or another conference. Authors are also expected not to submit their papers elsewhere during the review period. The dual submissions policy applies during the whole ECML-PKDD 2017 reviewing period from April 20 to June 22, 2017.

Reproducible research papers

Authors are encouraged to adhere to the best practices of Reproducible Research (RR), by making available data and software tools for reproducing the results reported in their papers. Authors may flag their submissions as RR and make software and data accessible to reviewers and to the program committee who will verify the accessibility of software and data. Links to data and code will then be inserted in the final version of RR papers. For the sake of persistence and proper authorship attribution, we require the use of standard repository hosting services such as Dataverse, mldata.org, OpenML, etc. for data sets, and mloss.org, Bitbucket, GitHub, etc. for source code. If data or code gets updated after the paper is published, it is important to enable researchers to access the versions that were used to produce the results reported in the paper.

Proceedings

The conference proceedings will be published by Springer in the Lecture Notes in Artificial Intelligence series (LNAI).

In addition to normal conference submissions, papers can be submitted to other tracks:
Industrial, Governmental and NGO; Demo; Ph.D.; Nectar; journal track. Accepted papers in all the tracks, including journal track, will be presented at the conference.

For information about other tracks, please see the separate call for papers.

Important dates

Abstract submission deadline: Thursday April 13, 2017
Paper submission deadline: Thursday April 20, 2017
Author notification: Thursday June 22, 2017
Camera ready submission: Thursday July 6, 2017

Contact

For any additional questions you can contact the Program Chairs (Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens) at pc_chairs@ecmlpkdd2017.org.

Related Resources

ECML-PKDD 2024   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
ecml-pkdd-journal-track 2025   Journal Track with ECML PKDD 2025
ICSTTE 2025   2025 3rd International Conference on SmartRail, Traffic and Transportation Engineering (ICSTTE 2025)
Ei/Scopus-ACAI 2024   2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI 2024)
IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI
MLPRIS 2025   The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems
21st AIAI 2025   21st (AIAI) Artificial Intelligence Applications and Innovations
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science