Ignacio Segovia-Dominguez

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Interactive Visual

Boltzmann Distribution

Graph Representation

Top Venues

Publications

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 (2024)
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. CoRR (2024)
Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. AAAI (2024)
Sinan G. Aksoy, Ryan 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 (2023)
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)
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. Big Data (2022)
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)
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)
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)
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)
Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel, Bulent Kiziltan
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery. CoRR (2022)
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 (2022)
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. CoRR (2021)
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)
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)
Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Murat Kantarcioglu, Cuneyt Gurcan Akcora, Yulia R. Gel
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks. CoRR (2021)
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)
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 (2021)
Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel
Smart Vectorizations for Single and Multiparameter Persistence. CoRR (2021)
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. ICML (2021)
Ignacio Segovia-Dominguez, Rafael Herrera Guzmán, Juan Pablo Serrano Rubio, Arturo Hernández Aguirre
Geometric probabilistic evolutionary algorithm. Expert Syst. Appl. 144 (2020)
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) (2020)
Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez
Designing the Boltzmann Estimation of Multivariate Normal Distribution: Issues, goals and solutions. CEC (2015)
Ignacio Segovia-Dominguez, Arturo Hernández Aguirre
An Estimation of Distribution Algorithm based on the Natural Gradient and the Boltzmann Distribution. GECCO (2015)
Ignacio Segovia-Dominguez, Sergio Ivvan Valdez, Arturo Hernández Aguirre
A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization. IJCCI (ECTA) (2014)
Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez
A New EDA by a Gradient-Driven Density. PPSN (2014)
Ignacio Segovia-Dominguez, Arturo Hernández Aguirre
Building multivariate density functions based on promising direction vectors. IEEE Congress on Evolutionary Computation (2013)
Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce
The gaussian polytree EDA for global optimization. GECCO (Companion) (2011)
Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce
Global Optimization with the Gaussian Polytree EDA. MICAI (2) (2011)