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LOD 2024 : 10th International Conference on machine Learning, Optimization and Data science


When Sep 22, 2024 - Sep 25, 2024
Where Riva del Sole Resort & SPA, Tuscany
Submission Deadline Apr 23, 2004
Notification Due May 23, 2024
Final Version Due Jun 23, 2024
Categories    deep learning   artificial intelligence   optimization   data science

Call For Papers

All papers must be submitted using EasyChair:

Paper Submission deadline: Saturday March 23, 2024 (AoE)

Any questions regarding the submission process can be sent to conference organizers:

Since 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss state of the art and latest advances in the integration of machine learning, optimization and data science to provide and support the scientific and technological foundations for interpretable, explainable and trustworthy AI. Since 2017, LOD adopted the Asilomar AI Principles.

The 10th International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier multidisciplinary conference in machine learning, computational optimization, knowledge discovery and data science. It provides an international forum for the presentation of original multidisciplinary research results, and the exchange and dissemination of innovative and practical development experiences.


Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA
"How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone"

Johannes Schmidt-Hieber, University of Twente, The Netherlands
"Towards a statistical foundation for machine learning methods"

Michal Valko, Google DeepMind Paris, INRIA & École Normale Supérieure Paris-Saclay, France
"Fine Tuning Large Language Models & Gemini"

LOD 2024 will be held in Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto), Tuscany, Italy on September 22 – 25, 2024. The conference will consist of four days of conference sessions. We invite submissions of papers on all topics related to Machine learning, Optimization, Knowledge Discovery and Data Science, including real-world applications for the Conference Post-Proceedings by Springer Nature – Lecture Notes in Computer Science (LNCS).

Paper format
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.

Types of Submissions

When submitting a paper to LOD 2024, 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 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

LOD Post-Proceedings by Springer - Nature Lecture Notes in Computer Science (LNCS)
All accepted long papers will be published in a volume of the series on Lecture Notes in Computer Science (LNCS) from Springer – Nature after the conference (Conference Post-Proceedings). Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on.

We can now include ORCID for authors of the proceedings. See this announcement and the guidelines (editor guidelines, section 4.7) for more information. For more information see this link.

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