معرفی
Julien Ah-Pine is a lecturer at Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS) under Université Clermont Auvergne, with affiliations at Institut national polytechnique Clermont Auvergne and École des Mines de Saint-Étienne. He also holds a Researcher position at CNRS.
Research Interests
His work spans machine learning, information fusion, aggregation functions, and multi-criteria decision support, with a focus on complex data types like graphs, functional data, and multi-view datasets. Recent publications emphasize anomaly detection in spectral data streams, online learning, and interpretable AI for industrial applications.
Selected Publications
2025 work on OnlineBootKNN introduces a novel framework for real-time spectral anomaly detection, while 2024 research explores multiple kernel methods in functional data classification. Earlier studies cover graph-based clustering, relational data mining, and linguistic network models for NLP tasks.
Laboratory & Collaborations
Works within LIMOS laboratory at Université Clermont Auvergne, collaborating with institutions like Mines Saint-Étienne and CNRS. Key partnerships include Nicolas Rojas Varela and Engelbert Mephu Nguifo on data stream analysis projects.
