New
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.
Conference Papers
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%
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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%
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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%
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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%
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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)
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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)
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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%
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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%
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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%
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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%
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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)
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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)
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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)
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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)
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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
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Building Multivariate Density Functions based on Promising Direction Vectors
Segovia-Dominguez, I., Hernandez-Aguirre, Arturo (2013). IEEE Congress on Evolutionary Computation (CEC 2013)
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Global Optimization with the Gaussian Poly-Tree EDA
Segovia-Dominguez, I., Hernandez-Aguirre, Arturo, Villa-Diharce (2011). International Conference on Artificial Intelligence (MICAI 2011)
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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)
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Journal Publications
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
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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
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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
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Geometric Probabilistic Evolutionary Algorithm
Segovia-Dominguez, I., Herrera-Guzman, R., Serrano-Rubio, J.P., Hernandez-Aguirre, A. (2020). Expert Systems with Applications
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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
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Mention in acknowledgment section of publications
Topological clustering of multilayer networks
Monisha Yuvaraj, Asim K. Dey, Vyacheslav Lyubchich, Yulia R. Gel, H. Vincent Poor (2021). National Academy of Sciences
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Speaking out or speaking in? Changes in political rhetoric over time
Iliev, Iliyan R., Huang, Xin, Gel, Y. R.(2020). Significance
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