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ORCIDEugenia Koblents
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Journal Articles
- 2019
[j4]Eugenia Koblents, Inés P. Mariño
, Joaquín Míguez:
Bayesian Computation Methods for Inference in Stochastic Kinetic Models. Complex. 2019: 7160934:1-7160934:15 (2019)- [j3]Apostolos Axenopoulos, Volker Eiselein, Antonio Penta, Eugenia Koblents, Ernesto La Mattina, Petros Daras:
A Framework for Large-Scale Analysis of Video "in the Wild" to Assist Digital Forensic Examination. IEEE Secur. Priv. 17(1): 23-33 (2019) - 2016
- [j2]Eugenia Koblents, Joaquín Míguez, Marco A. Rodríguez, Alexandra M. Schmidt:
A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions. Comput. Stat. Data Anal. 95: 57-74 (2016) - 2015
- [j1]Eugenia Koblents, Joaquín Míguez:
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models. Stat. Comput. 25(2): 407-425 (2015)
Conference and Workshop Papers
- 2019
- [c6]Luis Lebron Casas, Eugenia Koblents:
Video Summarization with LSTM and Deep Attention Models. MMM (2) 2019: 67-79 - 2017
- [c5]Eugenia Koblents, Federico Alvarez:
Evidence recommendation in forensics based on cyclic meta-paths in heterogeneous information networks. ICDP 2017: 13-18 - 2013
- [c4]Joaquín Míguez, Eugenia Koblents:
Particle filtering with transformed weights. CAMSAP 2013: 364-367 - [c3]Eugenia Koblents, Joaquín Míguez:
Robust mixture populationmonte Carlo scheme with adaptation of the number of components. EUSIPCO 2013: 1-5 - [c2]Eugenia Koblents, Joaquín Míguez:
A population Monte Carlo scheme for computational inference in high dimensional spaces. ICASSP 2013: 6318-6322 - 2011
- [c1]Eugenia Koblents, Joaquín Míguez:
A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models. EUSIPCO 2011: 679-683
Coauthor Index
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