A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models. - Eugenia Koblents; Joaquín Míguez (EUSIPCO, 2011)

Particle filtering with transformed weights. - Joaquín Míguez; Eugenia Koblents (CAMSAP, 2013)

Robust mixture populationmonte Carlo scheme with adaptation of the number of components. - Eugenia Koblents; Joaquín Míguez (EUSIPCO, 2013)

A population Monte Carlo scheme for computational inference in high dimensional spaces. - Eugenia Koblents; Joaquín Míguez (ICASSP, 2013)

A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models. - Eugenia Koblents; Joaquín Míguez (Stat. Comput., 2015)

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions. - Eugenia Koblents; Joaquín Míguez; Marco A. Rodríguez; Alexandra M. Schmidt (Comput. Stat. Data Anal., 2016)

Evidence recommendation in forensics based on cyclic meta-paths in heterogeneous information networks. - Eugenia Koblents; Federico Alvarez (ICDP, 2017)

Video Summarization with LSTM and Deep Attention Models. - Luis Lebron Casas; Eugenia Koblents (MMM (2), 2019)

Bayesian Computation Methods for Inference in Stochastic Kinetic Models. - Eugenia Koblents; Inés P. Mariño; Joaquín Míguez (Complex., 2019)

A Framework for Large-Scale Analysis of Video "in the Wild" to Assist Digital Forensic Examination. - Apostolos Axenopoulos; Volker Eiselein; Antonio Penta; Eugenia Koblents; Ernesto La Mattina; Petros Daras (IEEE Secur. Priv., 2019)