LOD2023: The 9th International Conference on Machine Learning, Optimization and Data Science The Wordsworth Hotel & Spa - Grasmere (Lake District England) Grasmere, UK, September 22-26, 2023

Submission Guidelines

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.

Paper Submission Deadline: June 10

Types of Submissions

When submitting a paper to LOD 2023, authors are required to select one of the following four types of papers:

• Long Paper / Late breaking Paper: original novel and unpublished work (min. 12 pages, max. 15 pages, including References, in Springer LNCS format);
• Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages, including References, in Springer LNCS format);
• 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.

Springer’s proceedings LaTeX templates are available in Overleaf.

Submitted papers must adopt the following to two rules:

• author names and institutions must be omitted, and
• references to authors’ own related research work must be in the third person.

Each paper submitted will be rigorously evaluated. The evaluation will ensure the 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.

Authors should consult Springer’s Instructions for Authors of Proceedings and use either the LaTeX or the Word templates provided on the authors’ page for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a License-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

If any of the authors contributing to LOD 2023 are interested in Open Access or Open Choice, please refer to our webpage for prices and additional information. Springer teams would need the invoicing address and the CC-BY licence-to-publish agreement at the same time as the files for the publication

List of Topics

• Deep Learning
• Data Science
• Optimization
• Artificial Intelligence

https://lod2023.icas.cc/call-for-papers/

Committees

Program Committee

Organizing committee

Invited Speakers

• Gabriel Barth-Maron, DeepMind, London, UK

  • Talk(s): TBA

• Anthony G. Cohn, University of Leeds, UK and The Alan Turing Institute, UK

  • "Evaluating the Commonsense Reasoning abilities of Foundation Models"

• Sven Giesselbach, Fraunhofer Institute - IAIS, Germany
  • "Foundation Models"
  • "GPT"
  • "OpenGPT-X and Application and Practical Training of Large Scale Language Models"

Publication

LOD2023 Post-Proceedings will be published in the Springer Nature – Lecture Notes in Computer Science (LNCS).

Venue

The conference will be held at The Wordsworth Hotel & Spa (****)

• Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK

Contact

All questions about submissions should be emailed to lod@icas.cc