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Emiliano Torre
Emiliano Torre
Postdoc, ETH Zurich
Подтвержден адрес электронной почты в домене ibk.baug.ethz.ch
Название
Процитировано
Процитировано
Год
Data-driven polynomial chaos expansion for machine learning regression
E Torre, S Marelli, P Embrechts, B Sudret
Journal of Computational Physics 388, 601-623, 2019
1382019
A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas
E Torre, S Marelli, P Embrechts, B Sudret
Probabilistic Engineering Mechanics 55, 1-16, 2019
1112019
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining
E Torre, D Picado-Muiño, M Denker, C Borgelt, S Grün
Frontiers in computational neuroscience 7, 132, 2013
71*2013
Synchronous spike patterns in macaque motor cortex during an instructed-delay reach-to-grasp task
E Torre, P Quaglio, M Denker, T Brochier, A Riehle, S Grün
Journal of Neuroscience 36 (32), 8329-8340, 2016
542016
ASSET: analysis of sequences of synchronous events in massively parallel spike trains
E Torre, C Canova, M Denker, G Gerstein, M Helias, S Grün
PLoS computational biology 12 (7), e1004939, 2016
402016
Detection and evaluation of spatio-temporal spike patterns in massively parallel spike train data with spade
P Quaglio, A Yegenoglu, E Torre, DM Endres, S Grün
Frontiers in computational neuroscience 11, 41, 2017
322017
Methods for identification of spike patterns in massively parallel spike trains
P Quaglio, V Rostami, E Torre, S Grün
Biological cybernetics 112, 57-80, 2018
292018
3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents
A Stella, P Quaglio, E Torre, S Grün
Biosystems 185, 104022, 2019
192019
A copula-based method to build diffusion models with prescribed marginal and serial dependence
E Bibbona, L Sacerdote, E Torre
Methodology and computing in applied probability 18, 765-783, 2016
142016
An incubating diseased-predator ecoepidemic model
C Tannoia, E Torre, E Venturino
Journal of biological physics 38, 705-720, 2012
122012
UQLab user manual–Statistical inference
E Torre, S Marelli, B Sudret
Chair of Risk, Safety and Uncertainty Quantification, 4-114, 2021
112021
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. Front Comput Neurosci. 2013; 7 (132)
E Torre, D Picado-Muiño, M Denker, C Borgelt, S Grün
42013
Maximum-entropy and representative samples of neuronal activity: a dilemma
PGLP Mana, V Rostami, E Torre, Y Roudi
arXiv preprint arXiv:1805.09084, 2018
3*2018
Surrogate modelling meets machine learning
B Sudret, C Lataniotis, N Lüthen, S Marelli, E Torre
3rd International Conference on Uncertainty Quantification in Computational …, 2019
12019
Maximum-entropy and representative samples of neuronal activity: a dilemma
PGL Porta Mana, V Rostami, E Torre, Y Roudi
bioRxiv, 329193, 2018
12018
Statistical analysis of synchrony and synchrony propagation in massively parallel spike trains
E Torre
Dissertation, RWTH Aachen, 2016, 2016
12016
Vine copulas for uncertainty quantification: why and how
E Torre, S Marelli, P Embrechts, B Sudret
Vine Copulas and their Applications. Workshop at the Technical University of …, 2019
2019
Representation and Inference of Complex dependencies through copulas in UQLab
E Torre, S Marelli, B Sudret
3rd International Conference on Uncertainty Quantification in Computational …, 2019
2019
Data-driven regression and uncertainty quantification by polynomial chaos expansions and vine copulas
E Torre, S Marelli, P Embrechts, B Sudret
23rd International Conference on Computational Statistics (COMPSTAT 2018), A0285, 2018
2018
Maximum-entropy and representative samples of neuronal activity: a dilemma
V Rostami, E Torre, Y Roudi
2018
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Статьи 1–20