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M-MLTA 2024 : Mathematics (ISSN 2227-7390) - Special Issue - Machine Learning Theory and Applications
M-MLTA 2024 : Mathematics (ISSN 2227-7390) - Special Issue - Machine Learning Theory and Applications

M-MLTA 2024 : Mathematics (ISSN 2227-7390) - Special Issue - Machine Learning Theory and Applications

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Submission Deadline: June 25, 2024




Call for Papers

DEADLINE:
Deadline for manuscript submission: 25 June 2024

Guest Editors:
Prof. Federica Mandreoli (University of Modena and Reggio Emilia, Italy),
Dr. Veronica Guidetti (University of Modena and Reggio Emilia, Italy)

Contact email:
[email protected]

Website:
https://www.mdpi.com/journal/mathematics/special_issues/Mach_Learn_Theory_Appl#info

Special Issue Information
Dear Colleagues,
This Special Issue entitled "Machine Learning Theory and Applications" aims to bring together cutting-edge research, exciting perspectives, and innovative applications that probe the boundaries of machine learning theory and its applications.
As machine learning algorithms aim to revolutionize various fields, for example, healthcare, finance, and transportation, it is crucial to delve into their theoretical foundations while exploring their real-world applications. This Special Issue aims to promote intellectual exchange and highlight the latest advances and limitations in the theoretical and application aspects of machine learning. We invite researchers, academics, and experts in the field to submit original research articles concerning the following topics.

Topics
- theoretical advances in machine learning algorithms
- deep-learning theory
- new approaches to deep learning: architectures, optimizers, and training pipelines
- statistical learning theory and its implications
- explainable artificial intelligence and interpretability in machine learning
- machine learning for natural language processing and understanding
- reinforcement learning and its applications
- continual learning methods and model recalibration
- learning by transfer and domain adaptation
- scalable and efficient machine learning algorithms
- machine learning applications in healthcare, finance, robotics, and other fields
- robustness and fairness in machine learning



MANUSCRIPT SUBMISSION INFORMATION
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


Credits and Sources

[1] M-MLTA 2024 : Mathematics (ISSN 2227-7390) - Special Issue - Machine Learning Theory and Applications


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