Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging. - Elie Azeraf; Emmanuel Monfrini; Emmanuel Vignon; Wojciech Pieczynski (CoRR, 2020)

Using the Naive Bayes as a discriminative classifier. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (CoRR, 2020)

Highly Fast Text Segmentation With Pairwise Markov Chains. - Elie Azeraf; Emmanuel Monfrini; Emmanuel Vignon; Wojciech Pieczynski (CIST, 2021)

Introducing the Hidden Neural Markov Chain Framework. - Elie Azeraf; Emmanuel Monfrini; Emmanuel Vignon; Wojciech Pieczynski (ICAART (2), 2021)

Using the Naive Bayes as a discriminative model. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (ICMLC, 2021)

On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (ICAART (3), 2022)

Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (ICPRAM, 2022)

Deriving discriminative classifiers from generative models. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (CoRR, 2022)

Classification avec des modèles probabilistes génératifs et des réseaux de neurones. Applications au traitement des langues naturelles. (Classification with generative probabilistic models and neural networks. Applications to natural language processing). - Elie Azeraf (2022)

Linear chain conditional random fields, hidden Markov models, and related classifiers. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (CoRR, 2023)

Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP. - Elie Azeraf; Emmanuel Monfrini; Wojciech Pieczynski (Algorithms, 2023)

Pairwise Markov Chains for Volatility Forecasting. - Elie Azeraf (CoRR, 2024)

Real-time Pollutant Identification through Optical PM Micro-Sensor. - Elie Azeraf; Audrey Wagner; Emilie Bialic; Samia Mellah; Ludovic Lelandais (CoRR, 2025)