Standard thermal statistics with q‐entropies GR Guerberoff, GA Raggio Journal of Mathematical Physics 37 (4), 1776-1789, 1996 | 38 | 1996 |
Non‐standard thermal statistics with q‐entropies GR Guerberoff, PA Pury, GA Raggio Journal of Mathematical Physics 37 (4), 1790-1811, 1996 | 35 | 1996 |
Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach FP Obregón, C Papalardo, S Castro, G Guerberoff, R Cantera BMC genomics 16 (1), 694, 2015 | 23 | 2015 |
Integrating post-Newtonian equations on graphics processing units F Herrmann, J Silberholz, M Bellone, G Guerberoff, M Tiglio Classical and Quantum Gravity 27 (3), 032001, 2010 | 16 | 2010 |
Statistical constraints on binary black hole inspiral dynamics CR Galley, F Herrmann, J Silberholz, M Tiglio, G Guerberoff Classical and Quantum Gravity 27 (24), 245007, 2010 | 14 | 2010 |
Remarks on “Thermodynamic stability conditions for the Tsallis and Rényi entropies” by Ramshaw GR Guerberoff, GA Raggio Physics Letters A 214 (5-6), 313-315, 1996 | 11 | 1996 |
Hidden Markov models for gene sequence classification A Mesa, S Basterrech, G Guerberoff, F Alvarez-Valin Pattern Analysis and Applications 19 (3), 793-805, 2016 | 10 | 2016 |
Hidden Markov Models for Gene Sequence Classification: Classifying the VSG genes in the Trypanosoma brucei Genome A Mesa, S Basterrech, G Guerberoff, F Alvarez-Valin arXiv preprint arXiv:1508.05367, 2015 | 10 | 2015 |
Reliability maximization in stochastic binary systems H Cancela, G Guerberoff, F Robledo, P Romero 2018 21st Conference on Innovation in Clouds, Internet and Networks and …, 2018 | 9 | 2018 |
Building Reliability Bounds in Stochastic Binary Systems H Cancela, G Ferreira, G Guerberoff, F Robledo, P Romero 2018 10th International Workshop on Resilient Networks Design and Modeling …, 2018 | 6 | 2018 |
An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach FP Obregón, M Palazzo, P Soto, G Guerberoff, P Yankilevich, R Cantera BMC Genomics 20 (1), 1-8, 2019 | 4 | 2019 |
Spatial birth-and-death processes in random environment R Fernández, PA Ferrari, GR Guerberoff arXiv preprint math/0410191, 2004 | 3* | 2004 |
Bernoulli and binomial proliferation on evolutionary graphs FA Cuesta, G Guerberoff, ÁL Rojo Journal of theoretical biology 534, 110942, 2022 | 2 | 2022 |
Nonparametric optimization of short-term confidence bands for wind power generation C Risso, G Guerberoff arXiv preprint arXiv:1805.04474, 2018 | 2 | 2018 |
A Learning-Based Methodology to Optimally Fit Short-Term Wind-Energy Bands C Risso, G Guerberoff Applied Sciences 11 (11), 5137, 2021 | 1 | 2021 |
A stochastic microscopic model for the dynamics of antigenic variation G Guerberoff, F Alvarez-Valin Journal of theoretical biology 380, 489-498, 2015 | 1 | 2015 |
Guerberoff: Spatial birth-and-death processes in random environment R Fernández, GR Guerberoff, PA Ferrari Mathematical Physics Electronic Journal 11 (3), 1, 2005 | 1 | 2005 |
On the free energy of the hopfield model GR Guerberoff, GA Raggio Journal of statistical physics 87 (1-2), 333-361, 1997 | 1 | 1997 |
Gene function prediction in five model eukaryotes based on gene relative location through machine learning FP Obregón, D Silvera, P Soto, P Yankilevich, G Guerberoff, R Cantera bioRxiv, 2021 | | 2021 |
Analysis and Reliability of Separable Systems H Cancela, G Guerberoff, F Robledo, P Romero arXiv preprint arXiv:2011.02027, 2020 | | 2020 |