Ignacio Segovia-Dominguez

According to our database, Ignacio Segovia-Dominguez authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence.

Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Seven open problems in applied combinatorics.

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

CoRR, 2023

EMP: Effective Multidimensional Persistence for Graph Representation Learning.

Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel, Baris Coskunuzer

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2022

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.

Andac Demir, Baris Coskunuzer, Yulia R. Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning on Health Fairness and Environmental Justice via Interactive Visualization.

Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho

Proceedings of the IEEE International Conference on Big Data, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity.

Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael J. Garay, Daniel J. Crichton, Rishabh Wagh, Yulia R. Gel

CoRR, 2021

Smart Vectorizations for Single and Multiparameter Persistence.

Baris Coskunuzer, Cuneyt Gurcan Akcora, Ignacio Segovia-Dominguez, Zhiwei Zhen, Murat Kantarcioglu, Yulia R. Gel

CoRR, 2021

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks.

Dorcas Ofori-Boateng, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting.

Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity.

Georgiy V. Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui

ACM SIGSPATIAL Special, 2020

Geometric probabilistic evolutionary algorithm.

Ignacio Segovia-Dominguez, Rafael Herrera Guzmán, Juan Pablo Serrano Rubio, Arturo Hernández Aguirre

Expert Syst. Appl., 2020

2015

An Estimation of Distribution Algorithm based on the Natural Gradient and the Boltzmann Distribution.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Designing the Boltzmann Estimation of Multivariate Normal Distribution: Issues, goals and solutions.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

A New EDA by a Gradient-Driven Density.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Sergio Ivvan Valdez

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization.

Ignacio Segovia-Dominguez, Sergio Ivvan Valdez, Arturo Hernández Aguirre

Proceedings of the ECTA 2014, 2014

2013

The Gaussian Polytree EDA with Copula Functions and Mutations.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce

Proceedings of the EVOLVE, 2013

Building multivariate density functions based on promising direction vectors.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2011

Global Optimization with the Gaussian Polytree EDA.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce

Proceedings of the Advances in Soft Computing, 2011

The gaussian polytree EDA for global optimization.

Ignacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011