Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence

Coskunuzer, B., Segovia-Dominguez, I., Chen, Y., Gel, Y. R. (2024). AAAI Conference on Artificial Intelligence (AAAI-24), acceptance rate 23.75%

[paper]

EMP: Effective Multidimensional Persistence for Graph Representation Learning

Chen, Y., Segovia-Dominguez, I., Akcora, C. G., Zhen, Z., Kantarcioglu, M., Gel, Y. R., Coskunuzer, B. (2024). Second Learning on Graphs Conference (LoG-23), acceptance rate 31.14%

[paper][Supplementary]

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

Demir, A., Coskunuzer, B., Segovia-Dominguez, I., Chen, Y., Gel, Y. R., Kiziltan, B. (2022). Neural Information Processing Systems (NeurIPS-22), acceptance rate 25.6%

[paper]

Learning on Health Fairness and Environmental Justice via Interactive Visualization

Nayeem, A., Segovia-Dominguez, I., Lee, H., Han, D., Chen, Y., Zhen, Z., Gel, Y. R., Cho, I. (2022). IEEE International Conference on Big Data, acceptance rate as short paper 18.6%

[paper]

TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting

Chen, Y., Segovia-Dominguez, I., Coskunuzer, B., Gel, Y. R. (2022). International Conference on Learning Representations (ICLR-22), acceptance rate as spotlight  5%

[paper]

Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies  via Persistent Homology and Geometric Deep Learning

Zhen, Z., Segovia-Dominguez, I., Chen, Y., Gel, Y.R. (2022). Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-22), acceptance rate  19.30%

[paper]

Learning Space-Time Crop Yield Patterns with zigzag persistence-based LSTM: Toward More Reliable Digital Agriculture Insurance

Jiang, T., Huang, M., Segovia-Dominguez, I., Newlands, N., Gel, Y.R. (2022). AAAI Conference on Artificial Intelligence, IAAI Technical Track on Emerging Applications of AI (AAAI-22)

[paper]

Hyperconic Machine Learning to Predict Microbial Growth

Cortez-Gonzalez, J., Lopez-Ramirez V., Serrano-Rubio, J.P., Segovia-Dominguez, I., Murrieta-Dueñas, R. (2021). European Symposium on Computer Aided Process Engineering (ESCAPE 32)

[paper]

Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning

Segovia-Dominguez, I., Lee, H., Chen, Y., Garay M., Gorski K., Gel, Y. (2021). ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21), acceptance rate 19.6%

[paper]

Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks

Ofori-Boateng, D., Segovia-Dominguez, I., Akcora, C., Kantarcioglu, M., Gel, Y.R. (2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-21), acceptance rate 21%

[paper]

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

Chen, Y., Segovia-Dominguez, I., Gel, Y. R. (2021). International Conference on Machine Learning (ICML-21), acceptance rate 21.5%

[paper]

TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions

Segovia-Dominguez, I., Zhen, Z., Wagh, R., Lee, H., Gel Y.R. (2021). Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21), acceptance rate 20%

[paper]

Designing the Boltzmann Estimation of Multivariate Normal Distribution

Segovia-Dominguez, I., Hernandez-Aguirre, Arturo, Valdes S.I. (2015). IEEE Congress of Evolutionary Computation (CEC 2015)

[paper]

An Estimation of Distribution Algorithm based on the Natural Gradient

Segovia-Dominguez, I., Hernandez-Aguirre, Arturo (2015). Conference on Genetic and Evolutionary Computation (GECCO 2015)

[paper]

A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization

Segovia-Dominguez, I., Valdez, S. I.,  Hernandez-Aguirre, Arturo (2014). International Conference on Evolutionary Computation Theory and Applications (ECTA-2014)

[paper]

A new EDA by a Gradient-driven Density

Segovia-Dominguez, I., Hernandez-Aguirre, Arturo, Valdez, S. I. (2014). International Conference on Parallel Problem Solving from Nature (PPSN XIII) 

[paper]

The Gaussian Poly-Tree EDA with Copula Functions and Mutations

Segovia-Dominguez, I., Villa-Diharce, Enrique, Hernandez-Aguirre, Arturo (2013). EVOLVE-A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation 

[paper]

Building Multivariate Density Functions based on Promising Direction Vectors

Segovia-Dominguez, I., Hernandez-Aguirre, Arturo (2013). IEEE Congress on Evolutionary Computation (CEC 2013) 

[paper]

Global Optimization with the Gaussian Poly-Tree EDA

Segovia-Dominguez, I., Hernandez-Aguirre, Arturo, Villa-Diharce (2011). International Conference on Artificial Intelligence (MICAI 2011) 

[paper]

The Gaussian Poly-Tree EDA for Global Optimization

Segovia-Dominguez, I., Hernandez-Aguirre, Arturo, Villa-Diharce (2011). Conference on Genetic and Evolutionary Computation (GECCO 2011) 

[paper]

Environmental Justice and Lessons Learned from COVID-19 Outcomes -- Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

Zhen, Z., Lee, H., Segovia-Dominguez, I., Huang, M., Chen, Y., Garay, M., Crichton, D., Gel, Y. R. (2024). Artificial Intelligence for the Earth Systems

[paper]

Seven Open Problems in Applied Combinatorics 

Sinan G. Aksoy, Ryan Bennink, Yuzhou Chen, Jose Frias, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, and Stephen J. Young (2023). Vol 14, Number 4,  Journal of Combinatorics

[paper][JOC]

Prediction of Microbial Growth via the Hyperconic Neural Network Approach

Murrieta-Dueñas, R., Serrano-Rubio, J.P., Lopez-Ramirez, V., Segovia-Dominguez, I., Cortez-Gonzalez, J. (2022). Chemical Engineering Research and Design 

[paper]

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

Bobashev, G., Segovia-Dominguez, I., Gel, Y. R., Rineer, J., Rhea, S., Sui, H. (2020). ACM SIGSPATIAL Newsletter 

[paper]

A modified Multifractal Detrended Fluctuation Analysis approach for multifractal analysis of precipitation

Morales-Martinez, J., Segovia-Dominguez, I., Quiros R., I., Horta-Rangel, F. A., Sosa-Gomez, G. (2020). Physica A: Statistical Mechanics and its Applications 

[paper]

Geometric Probabilistic Evolutionary Algorithm

Segovia-Dominguez, I., Herrera-Guzman, R., Serrano-Rubio, J.P., Hernandez-Aguirre, A. (2020). Expert Systems with Applications 

[paper]

Analysis of a new spatial interpolation weighting method to estimate missing data applied to rainfall records

Morales-Martinez, J., Horta-Rangel, F. A., Segovia-Dominguez, I., Robles M., Agustin.,  Horacio-Hernandez, J. (2019). Atmosfera 

[paper]

Topological clustering of multilayer networks

Monisha Yuvaraj, Asim K. Dey, Vyacheslav Lyubchich, Yulia R. Gel, H. Vincent Poor (2021). National Academy of Sciences 

[paper]

Speaking out or speaking in? Changes in political rhetoric over time

Iliev, Iliyan R., Huang, Xin, Gel, Y. R.(2020). Significance 

[paper]