SPML 2026 — 2026 9th International Conference on Signal Processing and Machine Learning

As the integration of signal processing and machine learning deepens, this interdisciplinary field is experiencing rapid advancements. The emergence of deep learning has significantly enhanced the automation and intelligence of signal analysis, achieving remarkable breakthroughs in domains such as audio processing, image recognition, and medical diagnostics. Simultaneously, multimodal data fusion and AI-driven signal analysis have emerged as critical trends. However, challenges such as limited model interpretability, robustness against noise and distributional shifts, and adaptability in resource-constrained environments remain pressing issues, necessitating further research and practical exploration.

Topics: Machine learning methods/ algorithms: Computer Vision & Virtual Reality; Image Processing & Understanding; Image/Video Processing and Coding; Natural Language Processing; Machine learning methods; Learning and adaptive control; Learning/adaption of recognition and perception; Learning for Handwriting Recognition; Learning in Image Pre-Processing and Segmentation; Learning in process automation; Learning of appropriate behaviour; Learning of action patterns; Learning robots; Feature extractions; Support vector machines (SVM); Least-squares SVM (LS-SVM); Twin SVM (TWSVM); Extreme learning machine (ELM); Artificial neural network (ANN); Classification techniques; Kernel design; Reinforce learning; Deep learning.