Coda Detector

"Coda" refers to a diverse set of algorithms and models designed for automated detection and analysis of complex, patterned data within various domains. Current research focuses on developing sophisticated methods, including graph-based clustering and continuous-time diffusion models, to improve accuracy and efficiency in identifying and characterizing codas in diverse data types, such as biological signals (e.g., whale vocalizations), geological data (e.g., seismic signals), and image analysis (e.g., coral structures). These advancements have significant implications for diverse fields, enabling more efficient data analysis, improved understanding of complex systems, and the development of more robust machine learning models for various applications.