| 2024 | AAAI | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. | Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel |
| 2022 | AAAI | Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. | Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel |
| 2022 | ICLR | TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. | Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel |
| 2022 | PAKDD | Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. | Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel |
| 2021 | ICML | Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. | Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel |
| 2021 | KDD | Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. | Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel |
| 2021 | PAKDD | TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. | Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel |
| 2015 | CEC | Designing the Boltzmann Estimation of Multivariate Normal Distribution: Issues, goals and solutions. | Ignacio Segovia-Dominguez, Arturo Hernndez Aguirre, Sergio Ivvan Valdez |
| 2015 | GECCO | An Estimation of Distribution Algorithm based on the Natural Gradient and the Boltzmann Distribution. | Ignacio Segovia-Dominguez, Arturo Hernndez Aguirre |
| 2014 | IJCCI | A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization. | Ignacio Segovia-Dominguez, Sergio Ivvan Valdez, Arturo Hernndez Aguirre |
| 2014 | PPSN | A New EDA by a Gradient-Driven Density. | Ignacio Segovia-Dominguez, Arturo Hernndez Aguirre, Sergio Ivvan Valdez |
| 2013 | CEC | Building multivariate density functions based on promising direction vectors. | Ignacio Segovia-Dominguez, Arturo Hernndez Aguirre |
| 2011 | GECCO | The gaussian polytree EDA for global optimization. | Ignacio Segovia-Dominguez, Arturo Hernndez Aguirre, Enrique Ral Villa Diharce |