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 | 120 | 2021 |
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 | 57 | 2022 |
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 | 39 | 2021 |
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 | 27 | 2021 |
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 | 20 | 2019 |
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 | 19 | 2021 |
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 | 16 | 2020 |
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 | 14 | 2022 |
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 | 11 | 2022 |
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 | 9 | 2021 |
A new EDA by a gradient-driven density IS Domínguez, AH Aguirre, SI Valdez Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 6 | 2014 |
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 | 6 | 2013 |
Smart vectorizations for single and multiparameter persistence B Coskunuzer, CG Akcora, IS Dominguez, Z Zhen, M Kantarcioglu, ... arXiv preprint arXiv:2104.04787, 2021 | 4 | 2021 |
Geometric probabilistic evolutionary algorithm I Segovia-Domínguez, R Herrera-Guzmán, JP Serrano-Rubio, ... Expert Systems with Applications 144, 113080, 2020 | 4 | 2020 |
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 | 3 | 2022 |
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 | 3 | 2015 |
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 | 2 | 2022 |
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 | 2 | 2022 |
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 | 2 | 2021 |
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 | 2 | 2015 |