Advanced Algorithms in Multimodal Affective Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 699
Special Issue Editor
Special Issue Information
Dear Colleagues,
The field of Multimodal Affective Computing (MAC) has experienced significant growth, driven by the increasing need to understand and interpret human emotions across various modalities such as speech, text, facial expressions, and physiological signals. As we advance towards more sophisticated computational models, the development of advanced algorithms becomes paramount to enhance the accuracy, reliability, and applicability of MAC systems. This Special Issue, titled “Advanced Algorithms in Multimodal Affective Computing,” aims to bring together the latest research findings, innovative methodologies, and practical applications that push the boundaries of MAC.
In this context, the Special Issue will focus on the theoretical and practical aspects of developing advanced algorithms for MAC, including, but not limited to, the following:
- Novel algorithms for emotion recognition and sentiment analysis that leverage multimodal data;
- Integration of large language models, machine learning,and deep learning techniques to improve the performance of MAC systems;
- Exploration of attention mechanisms, transfer learning, and meta-learning in the context of MAC;
- Development of robust and interpretable models that can generalize across different datasets and real-world scenarios;Sentiment Analysis Across Modalities
- Applications of advanced algorithms in diverse domains such as healthcare, education, human–computerinteraction, and customer service;
- Addressing challenges related to data scarcity, noise, and variability in multimodal datasets;
- Innovations in feature extraction and fusion strategies for multimodal data;
- Evaluation methodologies and benchmark datasets for assessing the performance of MAC algorithms;
- Ethical considerations and privacy issues in the development and deployment of MAC systems.
Prof. Dr. Sijie Mai
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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
- emotion recognition
- multimodal learning
- affective computing
- deep learning for affect analysis
- sentiment analysis across modalities
- machine learning in human–computer interaction
- emotion understanding systems
- data fusion in affective computing
- real-time emotion inference
- ethical ai in emotional intelligence
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
