3 papers
stat.ML2025
Pairwise Markov Chains for Volatility Forecasting
Elie Azeraf
The Pairwise Markov Chain (PMC) is a probabilistic graphical model extending the well-known Hidden Markov Model. This model, although highly effective for many tasks, has been scar…
cs.CL2025
Highly Fast Text Segmentation With Pairwise Markov Chains
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon +1
Natural Language Processing (NLP) models' current trend consists of using increasingly more extra-data to build the best models as possible. It implies more expensive computational…
cs.LG2025
Real-time Pollutant Identification through Optical PM Micro-Sensor
Elie Azeraf, Audrey Wagner, Emilie Bialic +2
Air pollution remains one of the most pressing environmental challenges of the modern era, significantly impacting human health, ecosystems, and climate. While traditional air qual…