MS-TDNN with Global Discriminant Trainings. - Émilie Caillault; Christian Viard-Gaudin; Abdul Rahim Ahmad (ICDAR, 2005)

Architecture et Apprentissage d'un Système Hybride Neuro-Markovien pour la Reconnaissance de l'Écriture Manuscrite En-Ligne. (Architecture and Training of a Hybrid Neuro-Markovian System for Online Handwriting Recognition). - Émilie Caillault (2005)

No Reference and Reduced Reference Video Quality Metrics for End to End QoS Monitoring. - Patrick Le Callet; Christian Viard-Gaudin; Stéphane Péchard; Émilie Caillault (IEICE Trans. Commun., 2006)

Mixed Discriminant Training of Hybrid ANN/HMM Systems for Online Handwritten Word Recognition. - Émilie Caillault; Christian Viard-Gaudin (Int. J. Pattern Recognit. Artif. Intell., 2007)

Dissimilarity-Based Classification of Multidimensional Signals by Conjoint Elastic Matching: Application to Phytoplanktonic Species Recognition. - Émilie Caillault; Pierre-Alexandre Hébert; Guillaume Wacquet (EANN, 2009)

Semi-supervised K-way Spectral Clustering using Pairwise Constraints. - Guillaume Wacquet; Pierre-Alexandre Hébert; Émilie Caillault Poisson; Denis Hamad (IJCCI (NCTA), 2011)

Monitoring system of phytoplankton blooms by using unsupervised classifier and time modeling. - Kevin Rousseeuw; Émilie Caillault Poisson; Alain Lefebvre; Denis Hamad (IGARSS, 2013)

Constrained spectral embedding for K-way data clustering. - Guillaume Wacquet; Émilie Caillault Poisson; Denis Hamad; Pierre-Alexandre Hébert (Pattern Recognit. Lett., 2013)

Hybrid Hidden Markov Model for Marine Environment Monitoring. - Kevin Rousseeuw; Émilie Caillault Poisson; Alain Lefebvre; Denis Hamad (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

DTW-Approach for uncorrelated multivariate time series imputation. - Thi-Thu-Hong Phan; Émilie Caillault Poisson; André Bigand; Alain Lefebvre (MLSP, 2017)

Comparative study on supervised learning methods for identifying phytoplankton species. - Thi-Thu-Hong Phan; Émilie Caillault Poisson; André Bigand (CoRR, 2017)

Comparative Study on Univariate Forecasting Methods for Meteorological Time Series. - Thi-Thu-Hong Phan; Émilie Caillault Poisson; André Bigand (EUSIPCO, 2018)

A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series. - Thi-Thu-Hong Phan; André Bigand; Émilie Caillault Poisson (Appl. Comput. Intell. Soft Comput., 2018)

eDTWBI: Effective Imputation Method for Univariate Time Series. - Thi-Thu-Hong Phan; Émilie Poisson Caillault; André Bigand (ICCSAMA, 2019)

Contributions à la classification et segmentation de séries temporelles par apprentissage statistique non supervisé ou guidé. - Émilie Caillault (2020)

Dynamic time warping-based imputation for univariate time series data. - Thi-Thu-Hong Phan; Émilie Poisson Caillault; Alain Lefebvre; André Bigand (Pattern Recognit. Lett., 2020)

Symbolic Translation of Time Series using Piecewise N-gram Similarity Voting. - Siegfried Delannoy; Émilie Poisson Caillault; André Bigand; Kevin Rousseeuw (ICPRAM, 2021)

Fuzzy and Evidential Contribution to Multilevel Clustering. - Martin Cabotte; Pierre-Alexandre Hébert; Émilie Poisson Caillault (IJCCI, 2022)

Asymmetry of Sagittal Otolith Shape Based on Inner Ear Side Tested on Mediterranean Red Mullet (Mullus barbatus Linnaeus, 1758): Comparative Analysis of 2D and 3D Otolith Shape Data. - Nicolas Andrialovanirina; Émilie Poisson Caillault; Sébastien Couette; Rémi Laffont; Lauriane Poloni; Camille Lutet-Toti; Kélig Mahé (Symmetry, 2023)