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Ignacio Segovia-Dominguez
Ignacio Segovia-Dominguez
West Virginia University
在 cimat.mx 的电子邮件经过验证 - 首页
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引用次数
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Z-GCNETs: Time zigzags at graph convolutional networks for time series forecasting
Y Chen, I Segovia, YR Gel
International Conference on Machine Learning, 1684-1694, 2021
1202021
TAMP-S2GCNets: coupling time-aware multipersistence knowledge representation with spatio-supra graph convolutional networks for time-series forecasting
Y Chen, I Segovia-Dominguez, B Coskunuzer, Y Gel
International Conference on Learning Representations, 2022
572022
A modified multifractal detrended fluctuation analysis (MFDFA) approach for multifractal analysis of precipitation
JLM Martínez, I Segovia-Domínguez, IQ Rodríguez, FA Horta-Rangel, ...
Physica A: Statistical Mechanics and its Applications 565, 125611, 2021
392021
Topological anomaly detection in dynamic multilayer blockchain networks
D Ofori-Boateng, IS Dominguez, C Akcora, M Kantarcioglu, YR Gel
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
272021
Analysis of a new spatial interpolation weighting method to estimate missing data applied to rainfall records
JL Morales Martínez, FA Horta-Rangel, I Segovia-Domínguez, ...
Atmósfera 32 (3), 237-259, 2019
202019
TLife-LSTM: forecasting future COVID-19 progression with topological signatures of atmospheric conditions
I Segovia-Dominguez, Z Zhen, R Wagh, H Lee, YR Gel
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 201-212, 2021
192021
Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity
G Bobashev, I Segovia-Dominguez, YR Gel, J Rineer, S Rhea, H Sui
SIGSPATIAL Special 12 (2), 25-32, 2020
162020
ToDD: Topological compound fingerprinting in computer-aided drug discovery
A Demir, B Coskunuzer, Y Gel, I Segovia-Dominguez, Y Chen, B Kiziltan
Advances in Neural Information Processing Systems 35, 27978-27993, 2022
142022
Learning space-time crop yield patterns with zigzag persistence-based lstm: Toward more reliable digital agriculture insurance
T Jiang, M Huang, I Segovia-Dominguez, N Newlands, YR Gel
Proceedings of the AAAI conference on artificial intelligence 36 (11), 12538 …, 2022
112022
Does air quality really impact COVID-19 clinical severity: coupling NASA satellite datasets with geometric deep learning
I Segovia Dominguez, H Lee, Y Chen, M Garay, KM Gorski, YR Gel
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
92021
A new EDA by a gradient-driven density
IS Domínguez, AH Aguirre, SI Valdez
Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014
62014
The Gaussian polytree eda with copula functions and mutations
IS Domínguez, AH Aguirre, EV Diharce
EVOLVE-A Bridge between Probability, Set Oriented Numerics and Evolutionary …, 2013
62013
Smart vectorizations for single and multiparameter persistence
B Coskunuzer, CG Akcora, IS Dominguez, Z Zhen, M Kantarcioglu, ...
arXiv preprint arXiv:2104.04787, 2021
42021
Geometric probabilistic evolutionary algorithm
I Segovia-Domínguez, R Herrera-Guzmán, JP Serrano-Rubio, ...
Expert Systems with Applications 144, 113080, 2020
42020
Tlife-GDN: detecting and forecasting spatio-temporal anomalies via persistent homology and geometric deep learning
Z Zhen, Y Chen, I Segovia-Dominguez, YR Gel
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 511-525, 2022
32022
Designing the Boltzmann estimation of multivariate normal distribution: Issues, goals and solutions
I Segovia-Domínguez, A Hernández-Aguirre, SI Valdez
2015 IEEE Congress on Evolutionary Computation (CEC), 2082-2089, 2015
32015
Prediction of microbial growth via the hyperconic neural network approach
R Murrieta-Dueñas, JP Serrano-Rubio, V López-Ramírez, ...
Chemical Engineering Research and Design 186, 525-540, 2022
22022
TAMP-S2GCNets: When Time-Aware Multipersistence Meets Spatio-Supra Graph Convolutional Nets while Forecasting Time Series
Y Chen, IJ Segovia Dominguez, B Coskunuzer, YR Gel
The International Conference on Learning Representations (ICLR), 2022
22022
Using NASA satellite data sources and geometric deep learning to uncover hidden patterns in COVID-19 clinical severity
I Segovia-Dominguez, H Lee, Z Zhen, Y Chen, M Garay, D Crichton, ...
arXiv preprint arXiv:2110.10849, 2021
22021
An estimation of distribution algorithm based on the natural gradient and the Boltzmann distribution
I Segovia-Dominguez, A Hernandez-Aguirre
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
22015
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