To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) is launching a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).
To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) is launching a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).
The IEEE Signal Processing Society is seeking nominations for future leaders! Nominations for several SPS leadership roles are open now, and we are now soliciting for the following roles with terms beginning 1 January 2024.
The IEEE Signal Processing Society (SPS) is happy to announce that Prof. Yonggang Wen will be the new Editor-in-Chief (EIC) of the IEEE Transactions on Multimedia (T-MM). His three-year term will be from January 2023 to December 2025.
Over the past twenty years, functional connectivity of the human brain has been studied using tools from complex network theory. One such tool is community detection which is fundamental for uncovering the links between structure and function in complex networks.
Thanks to their ability to monitor physical activity and health-related parameters, wearable devices are becoming nowadays more and more popular. In addition to what they already offer, an interesting capability achievable through such devices is biometric recognition.
Crowdsourcing has emerged as a powerful paradigm for tackling various machine learning, data mining, and data science tasks, by enlisting inexpensive crowds of human workers, or annotators, to accomplish learning and inference tasks.
Reviewer Instructions for OJSP Reproducibility Reviews
Author Instructions For OJSP Reproducibility Review
Reviewer Instructions for OJSP Reproducibility Reviews-->ContextOJSP has initiated an enhanced reproducibility initiative for learning-based papers, i.e., papers where the primary results are obtained using a trained computational model, such as a deep neural network or a dictionary representation.
Voice conversion (VC) is a significant aspect of artificial intelligence. It is the study of how to convert one’s voice to sound like that of another without changing the linguistic content.
Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2023 and will serve until 31 December 2025. Seven candidates competed for the three Member-at-Large positions.