New Insights in Machine Learning (ML) and Deep Neural Networks
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 81
Special Issue Editors
Interests: image retrieval; computer vision; image processing; pattern recognition; feature extraction; machine learning; object recognition; classification; algorithms; image data analysis; machine vision; image recognition; pattern classification; visual pattern recognition; multimedia analysis
Interests: open-world vision perception; continual/incremental learning; multimedia retrieval; object detection/segmentation
Interests: artificial intelligence models; convolutional neural networks; decision tree; deep learning
Interests: multimodal information comprehension; visual question answering; machine reading comprehension; deep learning theories
Special Issue Information
Dear Colleagues,
The confluence of groundbreaking research and technological innovation in the realm of Machine Learning (ML) and Deep Neural Networks (DNNs) continues to redefine the horizons of artificial intelligence. As we stand on the precipice of new discoveries that have the potential to revolutionize various sectors, this is the time to explore and document these advancements. With this in mind, we are proud to announce a Special Issue themed "New Insights in Machine Learning (ML) and Deep Neural Networks", aimed at capturing the essence of current and emerging trends in the field.
This Special Issue is a dedicated forum for scholars and professionals to share their latest findings, innovative methodologies, and transformative applications of ML and DNNs. We are particularly interested in works that address, but are not limited to, the following areas of exploration:
- Parameter Efficient Fine-Tuning Methods of Large Language Models (LLMs);
- Trustworthy Machine Learning;
- Adversarial Attacks and Defenses;
- Generative Multi-Modal Models;
- Continual Learning;
- Embodied Intelligence;
- AI for Science;
- Multimodal Understanding and Generation.
We also welcome review articles that synthesize the current state of the art, providing comprehensive overviews and identifying future research directions in the areas pertinent to this Special Issue.
Dr. Yanming Guo
Dr. Yu Liu
Dr. Tianyuan Yu
Guest Editors
Dr. Mingrui Lao
Guest Editor Assistant
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.
Keywords
- machine learning
- multi-modal models
- embodied intelligence
- artificial intelligence
- deep neural networks (DNNs)
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
