Kamu erişimi zorunlu olan makaleler - Yannis PantazisDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
Inferring the Parameters of Ultrafast Lasers from Images with Surface Patterns
A Litsas, F Fraggelakis, GD Tsibidis, E Stratakis, Y Pantazis
2023 International Symposium on Image and Signal Processing and Analysis …, 2023
Zorunlu olanlar: European Commission
Bir yerde sunuluyor: 24
Path-space information bounds for uncertainty quantification and sensitivity analysis of stochastic dynamics
P Dupuis, MA Katsoulakis, Y Pantazis, P Plechác
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 80-111, 2016
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Summary results of the 2014-2015 DARPA Chikungunya challenge
SY Del Valle, BH McMahon, J Asher, R Hatchett, JC Lega, HE Brown, ...
BMC infectious diseases 18, 1-14, 2018
Zorunlu olanlar: US Department of Energy, US Department of Defense
-Divergences: Interpolating between -Divergences and Integral Probability Metrics
J Birrell, P Dupuis, MA Katsoulakis, Y Pantazis, L Rey-Bellet
Journal of Machine Learning Research, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Defense
A unified approach for sparse dynamical system inference from temporal measurements
Y Pantazis, I Tsamardinos
Bioinformatics, btz065, 2019
Zorunlu olanlar: European Commission
Sensitivity analysis for rare events based on Rényi divergence
P Dupuis, MA Katsoulakis, Y Pantazis, L Rey-Bellet
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Cumulant GAN
Y Pantazis, D Paul, M Fasoulakis, Y Stylianou, MA Katsoulakis
IEEE Transactions on Neural Networks and Learning Systems, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Defense, European Commission
Parametric sensitivity analysis for stochastic molecular systems using information theoretic metrics
A Tsourtis, Y Pantazis, MA Katsoulakis, V Harmandaris
The Journal of chemical physics 143 (1), 2015
Zorunlu olanlar: US Department of Energy
Optimizing variational representations of divergences and accelerating their statistical estimation
J Birrell, MA Katsoulakis, Y Pantazis
IEEE Transactions on Information Theory, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks
G Vernardos, G Tsagkatakis, Y Pantazis
Monthly Notices of the Royal Astronomical Society 499 (4), 5641-5652, 2020
Zorunlu olanlar: European Commission
Accelerated sensitivity analysis in high-dimensional stochastic reaction networks
G Arampatzis, MA Katsoulakis, Y Pantazis
PloS one 10 (7), e0130825, 2015
Zorunlu olanlar: US Department of Energy
Predictive modeling approaches in laser-based material processing
MC Velli, GD Tsibidis, A Mimidis, E Skoulas, Y Pantazis, E Stratakis
Journal of Applied Physics 128 (18), 2020
Zorunlu olanlar: European Commission
Pathway activity score learning for dimensionality reduction of gene expression data
I Karagiannaki, Y Pantazis, E Chatzaki, I Tsamardinos
Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020
Zorunlu olanlar: European Commission
Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks.
D Paul, Y Pantazis, Y Stylianou
Interspeech, 659-663, 2019
Zorunlu olanlar: European Commission
Training Generative Adversarial Networks with Weights
Y Pantazis, D Paul, M Fasoulakis, Y Stylianou
27th European Signal Processing Conference, EUSIPCO 2019, 2019
Zorunlu olanlar: European Commission
Gaussian Asymptotic Limits for the α-transformation in the Analysis of Compositional Data
Y Pantazis, M Tsagris, ATA Wood
Sankhya A, 1-20, 2019
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Effects of spectral tilt on listeners’ preferences and intelligibility
O Simantiraki, M Cooke, Y Pantazis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Zorunlu olanlar: European Commission
Enumerating multiple equivalent lasso solutions
Y Pantazis, V Lagani, I Tsamardinos
arXiv preprint arXiv:1710.04995, 2017
Zorunlu olanlar: European Commission
De novo antimicrobial peptide design with feedback generative adversarial networks
MA Zervou, E Doutsi, Y Pantazis, P Tsakalides
International Journal of Molecular Sciences 25 (10), 5506, 2024
Zorunlu olanlar: European Commission
Learning biologically-interpretable latent representations for gene expression data: pathway activity score learning algorithm
I Karagiannaki, K Gourlia, V Lagani, Y Pantazis, I Tsamardinos
Machine Learning 112 (11), 4257-4287, 2023
Zorunlu olanlar: European Commission
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