LOD 2021 : The 7th International Conference on Machine Learning, Optimization & Data Science

in Conferences   Posted on October 30, 2020 

Conference Information

Submission Deadline Monday 25 Jan 2021 Proceedings indexed by :
Conference Dates Jun 29, 2021 - Jul 2, 2021
Conference Address Grasmere, United Kingdom
Conference & Submission Link https://lod2021.icas.cc/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.

When submitting a paper to LOD 2021, authors are required to select one of the following four types of papers:

1) long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);

2) short paper: an extended abstract of novel work (max. 4 pages);

3) work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference;

4) abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference.

Each paper submitted will be rigorously evaluated. The evaluation will ensure high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.

Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.

Obviously, it is possible to do the talk in a virtual way (e.g., Skype, Zoom, MS Teams, Cisco Webex or other).


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