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Ignacio Segovia-Dominguez
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2020 – today
- 2024
- [c18]Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI 2024: 11678-11686 - [i9]Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR abs/2401.13157 (2024) - [i8]Ignacio Segovia-Dominguez, Yuzhou Chen, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer:
EMP: Effective Multidimensional Persistence for Graph Representation Learning. CoRR abs/2401.13713 (2024) - 2023
- [c17]Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer:
EMP: Effective Multidimensional Persistence for Graph Representation Learning. LoG 2023: 24 - [i7]Sinan G. Aksoy, Ryan S. Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young:
Seven open problems in applied combinatorics. CoRR abs/2303.11464 (2023) - 2022
- [c16]Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel:
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. AAAI 2022: 12538-12544 - [c15]Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. IEEE Big Data 2022: 784-791 - [c14]Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel:
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting. ICLR 2022 - [c13]Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. NeurIPS 2022 - [c12]Zhiwei Zhen, Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning. PAKDD (2) 2022: 511-525 - [i6]Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan:
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR abs/2211.03808 (2022) - [i5]Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. CoRR abs/2211.09967 (2022) - 2021
- [c11]Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML 2021: 1684-1694 - [c10]Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel:
Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. KDD 2021: 3540-3548 - [c9]Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel:
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. PAKDD (1) 2021: 201-212 - [c8]Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel:
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. ECML/PKDD (1) 2021: 788-804 - [i4]Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel:
Smart Vectorizations for Single and Multiparameter Persistence. CoRR abs/2104.04787 (2021) - [i3]Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel:
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR abs/2105.04100 (2021) - [i2]Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Murat Kantarcioglu, Cuneyt Gurcan Akcora, Yulia R. Gel:
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. CoRR abs/2106.01806 (2021) - [i1]Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel:
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity. CoRR abs/2110.10849 (2021) - 2020
- [j2]Ignacio Segovia-Dominguez, Rafael Herrera Guzmán, Juan Pablo Serrano Rubio, Arturo Hernández Aguirre:
Geometric probabilistic evolutionary algorithm. Expert Syst. Appl. 144: 113080 (2020) - [j1]Georgiy V. Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui:
Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity. ACM SIGSPATIAL Special 12(2): 25-32 (2020)
2010 – 2019
- 2015
- [c7]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez:
Designing the Boltzmann Estimation of Multivariate Normal Distribution: Issues, goals and solutions. CEC 2015: 2082-2089 - [c6]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre:
An Estimation of Distribution Algorithm based on the Natural Gradient and the Boltzmann Distribution. GECCO 2015: 527-534 - 2014
- [c5]Ignacio Segovia-Dominguez, Sergio Ivvan Valdez, Arturo Hernández Aguirre:
A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization. IJCCI (ECTA) 2014: 251-258 - [c4]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez:
A New EDA by a Gradient-Driven Density. PPSN 2014: 352-361 - 2013
- [c3]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre:
Building multivariate density functions based on promising direction vectors. IEEE Congress on Evolutionary Computation 2013: 1702-1709 - [p1]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
The Gaussian Polytree EDA with Copula Functions and Mutations. EVOLVE 2013: 123-153 - 2011
- [c2]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
The gaussian polytree EDA for global optimization. GECCO (Companion) 2011: 69-70 - [c1]Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
Global Optimization with the Gaussian Polytree EDA. MICAI (2) 2011: 165-176
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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