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SiPML 2023 : 9th International Workshop on Signal Processing and Machine Learning


When Nov 8, 2023 - Nov 10, 2023
Where Daegu, South Korea
Submission Deadline Jul 10, 2023
Notification Due Aug 20, 2023
Final Version Due Sep 4, 2023
Categories    signal processing   neural networks   machine learning   computational intelligence

Call For Papers

The 9th International Workshop on Signal Processing and Machine Learning (SiPML 2023) is organized by Dr. Ricardo Rodriguez-Jorge from Jan Evangelista Purkyne University. SiPML will be held in Daegu, South Korea on November 8 - 10, 2023, in conjunction with the main conference 18th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2023).
The aim of the workshop is to contribute to the cross-fertilization between the research on Machine Learning (ML) methods and their application to Signal Processing (SP) to initiate collaboration between these areas. ML usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, and multimedia, among others.

1. Topics
Topics of interest include (but not limited to):
• Learning theory
• Subspace/manifold learning
• Cognitive information processing
• Bayesian and distributed learning
• Neural networks
• Smart Grid, games, social networks
• Classification and pattern recognition
• Computational Intelligence
• Nonlinear signal processing
• Data-driven adaptive systems
• Graphical models and kernel methods
• Data-driven models
• Genomic signals and sequences
• Multimodal data fusion
• Multichannel adaptive signal processing
• Multiset data analysis
• Kernel methods and graphical models
• Perceptual signal processing
• Sparsity-aware learning
• Applications (biomedical signals, biometrics, bioinformatics)

2. Authors information
Authors should submit a paper to the main conference with maximum 12 pages in length, including all figures, tables, and references. Workshop papers should be maximum 10 pages long. However, authors can have two extra pages with the appropriate fee payment.
Prepare your paper in PDF file and submit it electronically to the to the EDAS online submission system:

If authors will not submit their FINAL VERSION papers and copyright form by the deadline, the papers will be automatically removed from conference proceedings. The maximum number of pages for conference papers of 3PGCIC-2023 conference is 12 pages. Workshop papers should be maximum 10 pages long. For each paper, at most TWO additional pages are allowed, but each additional page costs 100 Euros.

3. Important dates
Submission deadline: July 10, 2023
Notification of Acceptance: August 20, 2023
Camera-Ready Submission: September 04 2023
Author registration: September 04, 2023
Workshop and main conference dates: November 8 – 10 , 2023

4. Web links
Web page of 3PGCIC 2022:
Web page of SiPML 2022:

5. Publication and indexing
All accepted papers will be included in the conference proceedings of Lecture Notes in Data Engineering and Communication Technologies series published by Springer. **Indexing: The books of LNDECT series are indexed by EI and SCOPUS **. Currently, the books of this series are indexed in Web of Science.
High quality papers accepted and presented at the SiPML 2023 workshop will be invited to submit their extended and revised papers to a special issue (others are pending of approval).
1. International Journal of Grid and Utility Computing (IJGUC), Inderscience

2. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), IGI Global

3. Internet of Things (IoT) Journal, Elsevier

4. International Journal of Web and grid Services (IJWGS), Inderscience

5. Journal of High Speed Networks (JHSN), IOS Press

6. Sustainable and Intelligent Phytoprotection, frontiers

7. Journal of Sensor and Actuator Networks, MDPI

8. Journal of Digital Signal Processing and Artificial Intelligence for Automatic Learning, DLINE

6. Contact Information
Dr. Ricardo Rodriguez-Jorge
Personal web page:
Institute web page:

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