Publications

Conferences

E. Azeraf, E. Monfrini, and W. Pieczynski, “Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models,” accepted at International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022
E. Azeraf, E. Monfrini, and W. Pieczynski, “On equivalence between linear-chain conditional random fields and hidden Markov chains,” accepted at 14th International Conference on Agents and Artificial Intelligence (ICAART), 2022
E. Azeraf, E. Monfrini, and W. Pieczynski, “Using the Naive Bayes as a discriminative model,” 13th International Conference on Machine Learning and Computing (ICMLC 2021), Association for Computing Machinery, 2021, pp. 106–110
E. Azeraf, E. Monfrini, E. Vignon, and W. Pieczynski, “Highly Fast Text Segmentation With Pairwise Markov Chains,” 2020 6th IEEE Congress on Information Science and Technology (CiSt), IEEE, 2020, pp. 361-366}
E. Azeraf, E. Monfrini, E. Vignon, and W. Pieczynski, “Introducing the Hidden Neural Markov Chain Framework,” 13th International Conference on Agents and Artificial Intelligence (ICAART), 2021, pp. 1013-1020

E. Azeraf, E. Monfrini, E. Vignon, and W. Pieczynski, “Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging.”, submitted at AISTATS 2022
E. Azeraf, E. Monfrini, and W. Pieczynski, “Deriving discriminative classifiers from generative models,” submitted at Transactions for Pattern Analysis and Machine Intelligence